EHR Data Quality

by Jerome Carter on November 5, 2013

Updated  March 24, 2017     (Page is updated monthly on the 12th. For more frequent resource alerts, follow EHR Science on Twitter:@ehrscience.)

Books
Here are two books that have been on my bookshelf for awhile now.   The text by Lee provides a very accessible overview to the subject.   Batini and Scannapieco offer a more technical introduction to the field, and their book is better suited to those who are not afraid of math.

Lee, Yang W. Journey to Data Quality. Cambridge, MA: MIT, 2006.

Batini, Carlo, and Monica Scannapieco. Data Quality. [New York]: Springer-Verlag Berlin Heidelberg, 2006.

Reports & White Papers
Agency for Healthcare Research and Quality
Data for Individual Health, 2014  

American Health Information Management Association (AHIMA)
Data Mapping and Its Impact on Data Integrity, 2013 

Beacon Community Program
Capturing High Quality Electronic Health  Records Data To Support Performance Improvement,  2013 

Centers for Disease Control
The Essential Role of Laboratory Professionals: Ensuring the Safety and Effectiveness of Laboratory Data in Electronic Health Record Systems May 2014 

Department of Computer and Information Systems, Robert Morris University
Din FM and Powell VJH, Integration of Medical and Dental Records to Improve Healthcare Outcomes, Costs, and Overall Public Health, 2008

Institute  of  Medicine
Digital Data Improvement Priorities for Continuous Learning in Health and Health Care – Workshop Summary, 2012

Markle Foundation
Background Issues on Data Quality, 2006

Office of the national Coordinator for Health Information Technology
Recommended Requirements for Enhancing Data Quality in Electronic Health Records, 2007  

Standard Data Set Definitions
Agency for Healthcare Research and Quality
Children’s Electronic Health Record (EHR) Format, 2013

American College of Cardiology
Standardized Cardiovascular Data for Clinical Research, Registries, and Patient Care, 2013

American College of Cardiology/American Heart Association
2013 ACCF/AHA Key Data Elements and Definitions for Measuring the Clinical Management and Outcomes of Patients With Acute Coronary Syndromes and Coronary Artery Disease, 2103

Posts
Wrestling with EHR Data Quality
The EHR as an Object Worthy of Study
EHR Data Accuracy—Should You Be Concerned?
The Nuances of Clinical Data
Making Clinical Concepts Computable

Key Articles
Coleman N, Halas G, Peeler W, Casaclang N, Williamson T, Katz A. From patient care to research: a validation study examining the factors contributing to data quality in a primary care electronic medical record database. BMC Fam Pract. 2015 Feb 5;16(1):11.

Hyppönen H, Saranto K, Vuokko R, Mäkelä-Bengs P, Doupi P, Lindqvist M, Mäkelä  M. Impacts of structuring the electronic health record: A systematic review protocol and results of previous reviews. Int J Med Inform.  2014 Mar;83(3):159-69.

Li T, Hutfless S, Scharfstein DO, Daniels MJ, Hogan JW, Little RJ, Roy JA, Law AH, Dickersin K. Standards should be applied in the prevention and handling of missing data for patient-centered outcomes research: a systematic review and expert consensus. J Clin Epidemiol. 2014 Jan;67(1):15-32.

Liaw ST, Rahimi A, Ray P, Taggart J, Dennis S, de Lusignan S, Jalaludin B, Yeo AE, Talaei-Khoei A. Towards an ontology for data quality in integrated chronic disease management: a realist review of the literature. Int J Med Inform. 2013 Jan;82(1):10-24  

Bowman S. Impact of electronic health record systems on information integrity: quality and safety implications. Perspect Health Inf Manag. 2013 Oct 1;10:1c.

Köpcke F, Trinczek B, Majeed RW, Schreiweis B, Wenk J, Leusch T, Ganslandt T,  Ohmann C, Bergh B, Röhrig R, Dugas M, Prokosch HU. Evaluation of data completeness in the electronic health record for the purpose of patient recruitment into clinical trials: a retrospective analysis of element presence. BMC Med Inform Decis Mak. 2013 Mar 21;13:37.

Weiskopf NG, Weng C. Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research. J Am Med Inform Assoc.  2013 Jan 1;20(1):144-51.

Hripcsak G, Albers DJ. Next-generation phenotyping of electronic health records. J Am Med Inform Assoc. 2013 Jan 1;20(1):117-21.

Cusack CM, Hripcsak G, Bloomrosen M, Rosenbloom ST, Weaver CA, Wright A, Vawdrey DK, Walker J, Mamykina L. The future state of clinical data capture and documentation: a report from AMIA’s 2011 Policy Meeting. J Am Med Inform Assoc. 2013 Jan 1;20(1):134-40.

Rea S, Pathak J, Savova G, Oniki TA, Westberg L, Beebe CE, Tao C, Parker CG, Haug PJ, Huff SM, Chute CG. Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: the SHARPn project. J Biomed Inform. 2012 Aug;45(4):763-71.

Hogan WR, Wagner MM. Accuracy of data in computer-based patient records. J Am Med Inform Assoc. 1997 Sep-Oct;4(5):342-55.

Strong, D.M.; Lee, Y.W.; Wang, R.Y., “10 potholes in the road to information quality,” Computer , vol.30, no.8, pp.38,46, Aug 1997.

Articles [New  February 15 – March 24, 2017]
[E] = e-pub date
Guy A, Prager R, Turris S, Lund A. Improving Data Quality in Mass-Gatherings Health Research. Prehosp Disaster Med. 2017 Mar 9:1-4. [E].

Blumenthal KG, Acker WW, Li Y, Holtzman NS, Zhou L. Allergy entry and deletion in the electronic health record. Ann Allergy Asthma Immunol. 2017 Mar;118(3):380-381.

Mason SA, Nathens AB, Byrne JP, Fowler R, Gonzalez A, Karanicolas PJ, Moineddin R, Jeschke MG. The accuracy of burn diagnosis codes in health administrative data: A validation study. Burns. 2017 Mar;43(2):258-264.

Desai RJ, Solomon DH. Use of large healthcare databases for rheumatology clinical research. Curr Opin Rheumatol. 2017 Mar;29(2):138-143.

Daley MF, Newton DA, DeBar L, Newcomer SR, Pieper L, Boscarino JA, Toh S, Pawloski P, Nordin JD, Nakasato C, Herrinton LJ, Bussing R. Accuracy of Electronic Health Record-Derived Data for the Identification of Incident ADHD. J  Atten Disord. 2017 Mar;21(5):416-425.

Ivory CH, Freytsis M, Lagrew DC Jr, Magee D, Vallejo M, Hasley S. Standardizing Maternity Care Data to Improve Coordination of Care. J Obstet Gynecol Neonatal Nurs. 2017 Mar – Apr;46(2):284-291.

Tevaarwerk AJ, Hocking WG, Zeal JL, Gribble M, Seaborne L, Buhr KA, Wisinski  KB, Burkard ME, Wiegmann DA, Sesto ME. Accuracy and Thoroughness of Treatment Summaries Provided as Part of Survivorship Care Plans Prepared by Two Cancer Centers. J Oncol Pract. 2017 Feb 21 [E]

Kovalchuk Y, Stewart R, Broadbent M, Hubbard TJ, Dobson RJ. Analysis of diagnoses extracted from electronic health records in a large mental health case  register. PLoS One. 2017 Feb 16;12(2):e0171526.

Sollie A, Sijmons RH, Helsper C, Numans ME. Reusability of coded data in the primary care electronic medical record: A dynamic cohort study concerning cancer diagnoses. Int J Med Inform. 2017 Mar;99:45-52.

Lambooij MS, Drewes HW, Koster F. Use of electronic medical records and quality of patient data: different reaction patterns of doctors and nurses to the hospital organization. BMC Med Inform Decis Mak. 2017 Feb 10;17(1):17.

Xiao L, Lv N, Rosas LG, Au D, Ma J. Validation of clinic weights from electronic health records against standardized weight measurements in weight loss trials. Obesity (Silver Spring). 2017 Feb;25(2):363-369.

Attanasio LB, Kozhimannil KB, Srinivas SK, Kjerulff KH. Concordance between Women’s Self-Reported Reasons for Cesarean Delivery and Hospital Discharge Records. Womens Health Issues. 2017 Jan 16.[E]


Mason SA, Nathens AB, Byrne JP, Fowler R, Gonzalez A, Karanicolas PJ, Moineddin R, Jeschke M. The accuracy of burn diagnosis codes in health administrative data: A validation study. Burns. 2017 Jan 6. [E]

Yadav S, Kazanji N, K C N, Paudel S, Falatko J, Shoichet S, Maddens M, Barnes MA. Comparison of accuracy of physical examination findings in initial progress notes between paper charts and a newly implemented electronic health record. J Am Med Inform Assoc. 2017 Jan;24(1):140-144.

Bergren MD, Maughan ED, Johnson KH, Wolfe LC, Watts HE, Cole M. Creating a Culture of Accurate and Precise Data. NASN Sch Nurse. 2017 Jan;32(1):39-41.

van der Bij S, Khan N, Ten Veen P, de Bakker DH, Verheij RA. Improving the quality of EHR recording in primary care: a data quality feedback tool. J Am Med  Inform Assoc. 2017 Jan 24(1):81-87.

Flory JH, Roy J, Gagne JJ, Haynes K, Herrinton L, Lu C, Patorno E, Shoaibi A, Raebel MA. Missing laboratory results data in electronic health databases: implications for monitoring diabetes risk. J Comp Eff Res. 2017 Jan;6(1):25-32.

Spratling R, Powers E. Development of a Data Abstraction Form: Getting What You Need From the Electronic Health Record. J Pediatr Health Care. 2017 Jan – Feb;31(1):126-130.

2016
Flory JH, Roy J, Gagne JJ, Haynes K, Herrinton L, Lu C, Patorno E, Shoaibi A, Raebel MA. Missing laboratory results data in electronic health databases: implications for monitoring diabetes risk. J Comp Eff Res. 2016 Dec 9. [E]

Zhao J, Papapetrou P, Asker L, Boström H. Learning from Heterogeneous Temporal Data in Electronic Health Records. J Biomed Inform. 2016 Dec 2. pii: S1532-0464(16)30165-4. [E]

Narayanan J, Dobrin S, Choi J, Rubin S, Pham A, Patel V, Frigerio R, Maurer D, Gupta P, Link L, Walters S, Wang C, Ji Y, Maraganore DM. Structured clinical documentation in the electronic medical record to improve quality and to support practice-based research in epilepsy. Epilepsia. 2016 Nov 19. [E]

Scholte M, van Dulmen SA, Neeleman-Van der Steen CW, van der Wees PJ, Nijhuis-van der Sanden MW, Braspenning J. Data extraction from electronic health records (EHRs) for quality measurement of the physical therapy process: comparison between EHR data and survey data. BMC Med Inform Decis Mak. 2016 Nov 8;16(1):141.

Mukherjee M, Wyatt JC, Simpson CR, Sheikh A. Usage of allergy codes in primary care electronic health records: a national evaluation in Scotland. Allergy. 2016 Nov;71(11):1594-1602.

Brown ML. Can’t you just pull the data? The limitations of using of the electronic medical record for research. Paediatr Anaesth. 2016 Nov;26(11):1034-1035.

Vezyridis P, Timmons S. Evolution of primary care databases in UK: a scientometric analysis of research output. BMJ Open. 2016 Oct 11;6(10):e012785.

Yazdany J, Bansback N, Clowse M, Collier D, Law K, Liao KP, Michaud K, Morgan EM, Oates JC, Orozco C, Reimold A, Simard JF, Myslinski R, Kazi S. The Rheumatology Informatics System for Effectiveness (RISE): A National Informatics-Enabled Registry for Quality Improvement. Arthritis Care Res (Hoboken). 2016 Oct 1.

Denney MJ, Long DM, Armistead MG, Anderson JL, Conway BN. Validating the extract, transform, load process used to populate a large clinical research database. Int J Med Inform. 2016 Oct;94:271-4.

Cox AT, Gillingham S, Johnson SA, Sharma S, Wilson D. An assessment of the accuracy and utility of the primary care electronic medical record as used by the British Army. J R Army Med Corps. 2016 Oct;162(5):361-365.

Polnaszek B, Gilmore-Bykovskyi A, Hovanes M, Roiland R, Ferguson P, Brown R, Kind AJ. Overcoming the Challenges of Unstructured Data in Multisite, Electronic Medical Record-based Abstraction. Med Care. 2016 Oct;54(10):e65-72.

Staff M, Roberts C, March L. The completeness of electronic medical record data for patients with Type 2 Diabetes in primary care and its implications for computer modelling of predicted clinical outcomes. Prim Care Diabetes. 2016 Oct;10(5):352-9.

Bradley DJ, Wu DT, Goldberg CS, Serwer GS, Lowery RE, Donohue JE, Hirsch-Romano JC, Zheng K, Pasquali SK. Out of many, one: integrating data in the paediatric cardiovascular environment. Cardiol Young. 2016 Sep 29:1-7. [E]

Howard DH, Karcz A, Roback JD. The accuracy of claims data for measuring transfusion rates. Transfus Med. 2016 Sep 22. [E]

Chaparro JD, Classen DC, Danforth M, Stockwell DC, Longhurst CA. National trends in safety performance of electronic health record systems in children’s hospitals. J Am Med Inform Assoc. 2016 Sep 16. [E]

Kahn MG, Callahan TJ, Barnard J, Bauck AE, Brown J, Davidson BN, Estiri H, Goerg C, Holve E, Johnson SG, Liaw ST, Hamilton-Lopez M, Meeker D, Ong TC, Ryan P, Shang N, Weiskopf NG, Weng C, Zozus MN, Schilling L. A Harmonized Data Quality Assessment Terminology and Framework for the Secondary Use of Electronic Health Record Data. EGEMS (Wash DC). 2016 Sep 11;4(1):1244

Luo L, Li L, Hu J, Wang X, Hou B, Zhang T, Zhao LP. A hybrid solution for extracting structured medical information from unstructured data in medical records via a double-reading/entry system. BMC Med Inform Decis Mak. 2016 Aug 30;16:114.

Spratling R, Powers E. Development of a Data Abstraction Form: Getting What You Need From the Electronic Health Record. J Pediatr Health Care. 2016 Aug 26. [E]

Stevenson JE, Israelsson J, Nilsson G, Petersson G, Bath PA. Vital sign documentation in electronic records: The development of workarounds. Health Informatics J. 2016 Aug 19. [E]

Biering-Sørensen F, Noonan VK. Standardization of Data for Clinical Use and Research in Spinal Cord Injury. Brain Sci. 2016 Aug 12;6(3).

Hofer SE, Schwandt A, Holl RW; Austrian/German DPV Initiative. StandardizedDocumentation in Pediatric Diabetology: Experience From Austria and Germany. J Diabetes Sci Technol. 2016 Aug 22;10(5):1042-9.

Pageler NM, Grazier G’Sell MJ, Chandler W, Mailes E, Yang C, Longhurst CA. A rational approach to legacy data validation when transitioning between electronic health record systems. J Am Med Inform Assoc. 2016 Sep;23(5):991-4.

Zhou L, Dhopeshwarkar N, Blumenthal KG, Goss F, Topaz M, Slight SP, Bates DW. Drug allergies documented in electronic health records of a large healthcare system. Allergy. 2016 Sep;71(9):1305-13.

Teixeira PL, Wei WQ, Cronin RM, Mo H, VanHouten JP, Carroll RJ, LaRose E, Bastarache LA, Rosenbloom ST, Edwards TL, Roden DM, Lasko TA, Dart RA, Nikolai AM, Peissig PL, Denny JC. Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive in
dividuals. J Am Med Inform Assoc. 2016 Aug 7. [E]

Bagley SC, Altman RB. Computing disease incidence, prevalence and comorbidity from electronic medical records. J Biomed Inform. 2016 Aug 4. [E]

Lin KJ, Schneeweiss S. Considerations for the analysis of longitudinal electronic health records linked to claims data to study the effectiveness and safety of drugs. Clin Pharmacol Ther. 2016 Aug;100(2):147-59.

Denney MJ, Long DM, Armistead MG, Anderson JL, Conway BN. Validating the extract, transform, load process used to populate a large clinical research database. Int J Med Inform. 2016 Jul 29. [E]

Petrik AF, Green BB, Vollmer WM, Le T, Bachman B, Keast E, Rivelli J, Coronado GD. The validation of electronic health records in accurately identifying patients eligible for colorectal cancer screening in safety net clinics. Fam Pract. 2016 Jul 28. [E]

Davis KA, Sudlow CL, Hotopf M. Can mental health diagnoses in administrative data be used for research? A systematic review of the accuracy of routinely collected diagnoses. BMC Psychiatry. 2016 Jul 26;16:263.

van Velthoven MH, Mastellos N, Majeed A, O’Donoghue J, Car J. Feasibility of extracting data from electronic medical records for research: an internationalcomparative study. BMC Med Inform Decis Mak. 2016 Jul 13;16:90.

Pimentel MA, Browne EN, Janardhana PM, Borkar DS, Tham VM, Uchida A, Vinoya AC, Acharya NR. Assessment of the Accuracy of Using ICD-9 Codes to Identify Uveitis, Herpes Zoster Ophthalmicus, Scleritis, and Episcleritis. JAMA Ophthalmol. 2016 Jul 7. [E]

Huang Y, Voorham J, Haaijer-Ruskamp FM. Using primary care electronic health record data for comparative effectiveness research: experience of data quality assessment and preprocessing in The Netherlands. J Comp Eff Res. 2016 Jul;5(4):345-54.

Bhuyan SS, Bailey-DeLeeuw S, Wyant DK, Chang CF. Too Much or Too Little? How Much Control Should Patients Have Over EHR Data? J Med Syst. 2016 Jul;40(7):174. [E]

Rizzoli P, Loder E, Joshi S. Validity of cluster headache diagnoses in an electronic health record data repository. Headache. 2016 Jun 6. [E]

van der Bij S, Khan N, Ten Veen P, de Bakker DH, Verheij RA. Improving the quality of EHR recording in primary care: a data quality feedback tool. J Am Med Inform Assoc. 2016 Jun 6. [E}

Skyttberg N, Vicente J, Chen R, Blomqvist H, Koch S. How to improve vital sign data quality for use in clinical decision support systems? A qualitative study in nine Swedish emergency departments. BMC Med Inform Decis Mak. 2016 Jun 4;16(1):61.

Hofer IS, Gabel E, Pfeffer M, Mahbouba M, Mahajan A. A Systematic Approach to Creation of a Perioperative Data Warehouse. Anesth Analg. 2016 Jun;122(6):1880-4.

Salazar Méndez R, Cuesta García M, Llaneza Velasco ME, Rodríguez Villa S, Cubillas Martín M, Alonso Álvarez CM. Usefulness of surgical complexity classification index in cataract surgery process. Arch Soc Esp Oftalmol. 2016 Jun;91(6):281-287.

Rimland JM, Abraha I, Luchetta ML, Cozzolino F, Orso M, Cherubini A, Dell’Aquila G, Chiatti C, Ambrosio G, Montedori A. Validation of chronic obstructive pulmonary disease (COPD) diagnoses in healthcare databases: a systematic review protocol. BMJ Open. 2016 Jun 1;6(6):e011777.

Padrez KA, Ungar L, Schwartz HA, Smith RJ, Hill S, Antanavicius T, Brown DM, Crutchley P, Asch DA, Merchant RM. Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department. BMJ Qual Saf. 2016 Jun;25(6):414-23.

Woodhead C, Ashworth M, Broadbent M, Callard F, Hotopf M, Schofield P, Soncul M, Stewart RJ, Henderson MJ. Cardiovascular disease treatment among patients with severe mental illness: a data linkage study between primary and secondary care.Br J Gen Pract. 2016 Jun;66(647):e374-81.

Sideris C, Pourhomayoun M, Kalantarian H, Sarrafzadeh M. A flexible data-driven comorbidity feature extraction framework. Comput Biol Med. 2016 Jun 1;73:165-72.

Reimer AP, Milinovich A, Madigan EA. Data quality assessment framework to assess electronic medical record data for use in research. Int J Med Inform. 2016 Jun;90:40-7.

MacFarlane LA, Liu CC, Solomon DH, Kim SC. Validation of claims-based algorithms for gout flares. Pharmacoepidemiol Drug Saf. 2016 May 27. [E]

Mentz RJ, Newby LK, Neely B, Lucas JE, Pokorney SD, Rao MP, Jackson LR 2nd, Grau-Sepulveda MV, Smerek MM, Barth P, Nelson CL, Pencina MJ, Shah BR. Assessment of Administrative Data to Identify Acute Myocardial Infarction in Electronic Health Records. J Am Coll Cardiol. 2016 May 24;67(20):2441-2.

Boyd JH, Guiver T, Randall SM, Ferrante AM, Semmens JB, Anderson P, Dickinson T. A Simple Sampling Method for Estimating the Accuracy of Large Scale Record Linkage Projects. Methods Inf Med. 2016 May 17;55(3):276-83. [E]

Mukherjee M, Wyatt JC, Simpson CR, Sheikh A. Usage of allergy codes in primary care electronic health records: a national evaluation in Scotland. Allergy. 2016 May 5. [E]

Madkour M, Benhaddou D, Tao C. Temporal data representation, normalization, extraction, and reasoning: A review from clinical domain. Comput Methods Programs Biomed. 2016 May;128:52-68.

Berger ML, Curtis MD, Smith G, Harnett J, Abernethy AP. Opportunities and challenges in leveraging electronic health record data in oncology. Future Oncol. 2016 May;12(10):1261-74.

Hafeez B, Paolicchi J, Pon S, Howell JD, Grinspan ZM. Feasibility of Automatic Extraction of Electronic Health Data to Evaluate a Status Epilepticus Clinical Protocol. J Child Neurol. 2016 May;31(6):709-16.

Gardner W, Morton S, Tinoco A, Scholle SH, Canan BD, Kelleher KJ. Is It Feasible to Use Electronic Health Records for Quality Measurement of Adolescent Care? J Healthc Qual. 2016 May-Jun;38(3):164-74.

Jiggins K. A content analysis of the Meaningful Use clinical summary: do clinical summaries promote patient engagement? Prim Health Care Res Dev. 2016 May;17(3):238-51.

Knake LA, Ahuja M, McDonald EL, Ryckman KK, Weathers N, Burstain T, Dagle JM, Murray JC, Nadkarni P. Quality of EHR data extractions for studies of preterm birth in a tertiary care center: guidelines for obtaining reliable data. BMC Pediatr. 2016 Apr 29;16(1):59.

Martin SA, Sinsky CA. The map is not the territory: medical records and 21st century practice. Lancet. 2016 Apr 25. [E]

Singer A, Yakubovich S, Kroeker AL, Dufault B, Duarte R, Katz A. Data quality of electronic medical records in Manitoba: do problem lists accurately reflect chronic disease billing diagnoses? J Am Med Inform Assoc. 2016 Apr 23. [E]

Ellsworth MA, Dziadzko M, O’Horo JC, Farrell AM, Zhang J, Herasevich V. An appraisal of published usability evaluations of electronic health records via systematic review. J Am Med Inform Assoc. 2016 Apr 23. [E]

Pan HY, Shaitelman SF, Perkins GH, Schlembach PJ, Woodward WA, Smith BD.Implementing a Real-Time Electronic Data Capture System to Improve Clinical Documentation in Radiation Oncology. J Am Coll Radiol. 2016 Apr;13(4):401-7.

Dhavle AA, Yang Y, Rupp MT, Singh H, Ward-Charlerie S, Ruiz J. Analysis ofPrescribers’ Notes in Electronic Prescriptions in Ambulatory Practice. JAMAIntern Med. 2016 Apr 1;176(4):463-70.

Cravero JP, Sriswasdi P, Lekowski R, Carpino E, Blum R, Askins N, ZurakowskiD, Sinnott S. Creation of an integrated outcome database for pediatricanesthesia. Paediatr Anaesth. 2016 Apr;26(4):345-55.

Sammon CJ, Petersen I. Backdating of events in electronic primary health care data: should one censor at the date of last data collection. PharmacoepidemiolDrug Saf. 2016 Apr;25(4):378-84.

Scott FI, Mamtani R, Haynes K, Goldberg DS, Mahmoud NN, Lewis JD. Validation of a coding algorithm for intra-abdominal surgeries and adhesion-related complications in an electronic medical records database. Pharmacoepidemiol Drug Saf. 2016 Apr;25(4):405-12.

Cea Soriano L, Soriano-Gabarró M, García Rodríguez LA. Validity and completeness of colorectal cancer diagnoses in a primary care database in the United Kingdom. Pharmacoepidemiol Drug Saf. 2016 Apr;25(4):385-91.

Krauss JC, Boonstra PS, Vantsevich AV, Friedman CP. Is the problem list in the eye of the beholder? An exploration of consistency across physicians. J Am Med Inform Assoc. 2016 Mar 21. [E]

Topaz M, Seger DL, Goss F, Lai K, Slight SP, Lau JJ, Nandigam H, Zhou L. Standard Information Models for Representing Adverse Sensitivity Information in Clinical Documents. Methods Inf Med. 2016 Mar 21;55(2):151-7.

Staff M, Roberts C, March L. The completeness of electronic medical record data for patients with Type 2 Diabetes in primary care and its implications for computer modelling of predicted clinical outcomes. Prim Care Diabetes. 2016 Mar 21. [E]

Casey JA, Schwartz BS, Stewart WF, Adler NE. Using Electronic Health Records for Population Health Research: A Review of Methods and Applications. Annu Rev Public Health. 2016 Mar 18;37:61-81.

Pageler NM, Grazier G’Sell MJ, Chandler W, Mailes E, Yang C, Longhurst CA. A rational approach to legacy data validation when transitioning between electronic health record systems. J Am Med Inform Assoc. 2016 Mar 14. [E]

Zhou L, Dhopeshwarkar N, Blumenthal KG, Goss F, Topaz M, Slight SP, Bates DW. Drug Allergies Documented in Electronic Health Records of a Large Healthcare System. Allergy. 2016 Mar 10. [E]

Dente CJ, Ashley DW, Dunne JR, Henderson V, Ferdinand C, Renz B, Massoud R, Adamski J, Hawke T, Gravlee M, Cascone J, Paynter S, Medeiros R, Atkins E, Nicholas JM; GRIT Study Group. Heterogeneity in Trauma Registry Data Quality: Implications for Regional and National Performance Improvement in Trauma. J Am Coll Surg. 2016 Mar;222(3):288-95.

Yoon D, Schuemie MJ, Kim JH, Kim DK, Park MY, Ahn EK, Jung EY, Park DK, Cho SY, Shin D, Hwang Y, Park RW. A normalization method for combination of laboratory test results from different electronic healthcare databases in a distributed research network. Pharmacoepidemiol Drug Saf. 2016 Mar;25(3):307-16.

Grudzen CR, Buonocore P, Steinberg J, Ortiz JM, Richardson LD; AAHPM Research Committee Writing Group. Concordance of Advance Care Plans With Inpatient Directives in the Electronic Medical Record for Older Patients Admitted From the Emergency Department. J Pain Symptom Manage. 2016 Feb 16. [E]

Kostkova P, Brewer H, de Lusignan S, Fottrell E, Goldacre B, Hart G, Koczan P, Knight P, Marsolier C, McKendry RA, Ross E, Sasse A, Sullivan R, Chaytor S, Stevenson O, Velho R, Tooke J. Who Owns the Data? Open Data for Healthcare. Front Public Health. 2016 Feb 17;4:7.

Dungey S, Glew S, Heyes B, Macleod J, Tate AR. Exploring practical approaches to maximising data quality in electronic healthcare records in the primary care setting and associated benefits. Report of panel-led discussion held at SAPC in July 2014. Prim Health Care Res Dev. 2016 Jan 18:1-5. [E]

Opmeer BC. Electronic Health Records as Sources of Research Data. JAMA. 2016 Jan 12;315(2):201-2.

Ateya MB, Delaney BC, Speedie SM. The value of structured data elements from electronic health records for identifying subjects for primary care clinical trials. BMC Med Inform Decis Mak. 2016 Jan 11;16(1):1.

Luo J, Wu M, Gopukumar D, Zhao Y. Big Data Application in Biomedical Research and Health Care: A Literature Review. Biomed Inform Insights. 2016 Jan 19;8:1-10.

Padula WV, Blackshaw L, Brindle CT, Volchenboum SL. An Approach to Acquiring, Normalizing, and Managing EHR Data From a Clinical Data Repository for Studying Pressure Ulcer Outcomes. J Wound Ostomy Continence Nurs. 2016 Jan-Feb;43(1):39-45.

Laper SM, Restrepo NA, Crawford DC. The challenges in using electronic health Records for pharmacogenomics and precision medicine research. Pac Symp Biocomput. 2016;21:369-80.

Tiihonen M, Nykänen I, Ahonen R, Hartikainen S. Discrepancies between in-home interviews and electronic medical records on regularly used drugs among home care clients. Pharmacoepidemiol Drug Saf. 2016 Jan;25(1):100-5.

Haneuse S, Bogart A, Jazic I, Westbrook EO, Boudreau D, Theis MK, Simon GE, Arterburn D. Learning About Missing Data Mechanisms in Electronic Health Records-based Research: A Survey-based Approach. Epidemiology. 2016 Jan;27(1):82-90.

2015
Taggart J, Liaw ST, Yu H. Structured data quality reports to improve EHR data quality. Int J Med Inform. 2015 Dec;84(12):1094-8.

Yoon D, Schuemie MJ, Kim JH, Kim DK, Park MY, Ahn EK, Jung EY, Park DK, Cho SY, Shin D, Hwang Y, Park RW. A normalization method for combination of laboratory test results from different electronic healthcare databases in a distributed research network. Pharmacoepidemiol Drug Saf. 2015 Nov 3. [E]

Halloran EJ, Halloran DC. Nurses’ Own Recordkeeping: The Nursing Minimum Data Set Revisited. Comput Inform Nurs. 2015 Nov;33(11):487-94.

Hernández-Ávila JE, Lara A, Morales-Carmona E, Espinoza EG, Anaya P, Palacio-Mejía LS. Extracting And Using Data From Electronic Medical Records (Emr) To Monitor Quality Of Care And Prescription Patterns For Diabetes Prevention And Control In Outpatient Clinics Of Low And Mid Resources Countries: The Case Of Colima, Mexico. Value Health. 2015 Nov;18(7):A811

Irwin DE, Varker H, Farr AM. Comparison Of Treatment-Related Adverse Events Recorded In Administrative Claims Data With Those Recorded In Electronic Medical Records For Multiple Myeloma Patients. Value Health. 2015 Nov;18(7):A683.

Hafeez B, Paolicchi J, Pon S, Howell JD, Grinspan ZM. Feasibility of Automatic Extraction of Electronic Health Data to Evaluate a Status Epilepticus Clinical Protocol. J Child Neurol. 2015 Oct 30. [E]

Sun H, Depraetere K, De Roo J, Mels G, De Vloed B, Twagirumukiza M, Colaert D. Semantic processing of EHR Data for clinical research. J Biomed Inform. 2015 Oct 26. [E]

Perimal-Lewis L, Teubner D, Hakendorf P, Horwood C. Application of process mining to assess the data quality of routinely collected time-based performance data sourced from electronic health records by validating process conformance. Health Informatics J. 2015 Oct 11. [E]

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Samuels JG, McGrath RJ, Fetzer SJ, Mittal P, Bourgoine D. Using the Electronic Health Record in Nursing Research: Challenges and Opportunities. West J Nurs Res. 2015 Oct;37(10):1284-94

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Hripcsak G, Albers DJ, Perotte A. Parameterizing time in electronic health record studies. J Am Med Inform Assoc. 2015 Jul;22(4):794-804.

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Esper P, Walker S. Improving documentation of quality measures in the electronic health record. J Am Assoc Nurse Pract. 2015 Jun;27(6):308-12.

Hanauer DA, Mei Q, Law J, Khanna R, Zheng K. Supporting information retrieval from electronic health records: A report of University of Michigan’s nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE). J Biomed Inform. 2015 Jun;55:290-300.

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Hsu W, Gonzalez NR, Chien A, Pablo Villablanca J, Pajukanta P, Viuela F, Bui AA. An integrated, ontology-driven approach to constructing observational databases for research. J Biomed Inform. 2015 Jun;55:132-42.

Deutsch MB, Buchholz D. Electronic health records and transgender patients-practical recommendations for the collection of gender identity data. J Gen Intern Med. 2015 Jun;30(6):843-7.

Klinger EV, Carlini SV, Gonzalez I, Hubert SS, Linder JA, Rigotti NA, Kontos EZ, Park ER, Marinacci LX, Haas JS. Accuracy of race, ethnicity, and language preference in an electronic health record. J Gen Intern Med. 2015 Jun;30(6):719-23.

Kavuluru R, Rios A, Lu Y. An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records. Artif Intell Med. 2015 May 15. [E]

Quinlan SC, Lanes S, Holick CN, Mast TC. Accuracy of administrative claims data to identify dose specific rotavirus vaccination information: Implications for studies of vaccine safety. Vaccine. 2015 May 21;33(22):2517-20.

Spratling R, Powers E. Data collection using the electronic health record: lessons learned from the chart review process. J Pediatr Health Care. 2015 May-Jun;29(3):294-6

Hye RJ, Inui TS, Anthony FF, Kiley ML, Chang RW, Rehring TF, Nelken NA, Hill BB. A multiregional registry experience using an electronic medical record to optimize data capture for longitudinal outcomes in endovascular abdominal aortic aneurysm repair. J Vasc Surg. 2015 May;61(5):1160-7.

Wei WQ, Denny JC. Extracting research-quality phenotypes from electronic health records to support precision medicine. Genome Med. 2015 Apr 30;7(1):41.

Gabriel PE, Gronkiewicz C, Diamond EJ, French KD, Christodouleas J. Capturing structured, pulmonary disease-specific data elements in electronic health records. Chest. 2015 Apr 1;147(4):1152-60.

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Grundmeier RW, Song L, Ramos MJ, Fiks AG, Elliott MN, Fremont A, Pace W, Wasserman RC, Localio R. Imputing Missing Race/Ethnicity in Pediatric Electronic Health Records: Reducing Bias with Use of U.S. Census Location and Surname Data. Health Serv Res. 2015 Mar 11. [E]

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Westra BL, Latimer GE, Matney SA, Park JI, Sensmeier J, Simpson RL, Swanson MJ, Warren JJ, Delaney CW. A national action plan for sharable and comparable nursing data to support practice and translational research for transforming health care. J Am Med Inform Assoc. 2015 Feb 10. [E]

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Deckard J, McDonald CJ, Vreeman DJ. Supporting interoperability of genetic data with LOINC. J Am Med Inform Assoc. 2015 Feb 5.

Melnik TA, Guldal CG, Schoen LD, Alicandro J, Henfield P. Barriers in Accurate and Complete Birth Registration in New York State. Matern Child Health J. 2015 Feb 5.

Phiri K, Hernandez-Diaz S, Tsen LC, Puopolo KM, Seeger JD, Bateman BT. Accuracy of ICD-9-CM coding to identify small for gestational age newborns. Pharmacoepidemiol Drug Saf. 2015 Feb 5.

Tu JV, Chu A, Donovan LR, Ko DT, Booth GL, Tu K, Maclagan LC, Guo H, Austin PC, Hogg W, Kapral MK, Wijeysundera HC, Atzema CL, Gershon AS, Alter DA, Lee DS,  Jackevicius CA, Bhatia RS, Udell JA, Rezai MR, Stukel TA. The Cardiovascular Health in Ambulatory Care Research Team (CANHEART): Using Big Data to Measure and Improve Cardiovascular Health and Healthcare Services. Circ Cardiovasc Qual Outcomes. 2015 Feb 3.

Koepke R, Petit AB, Ayele RA, Eickhoff JC, Schauer SL, Verdon MJ, Hopfensperger DJ, Conway JH, Davis JP. Completeness and Accuracy of the Wisconsin Immunization Registry: An Evaluation Coinciding With the Beginning of Meaningful  Use. J Public Health Manag Pract. 2015 Jan 28.

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Shenvi EC, Meeker D, Boxwala AA. Understanding data requirements of retrospective studies. Int J Med Inform. 2015 Jan;84(1):76-84. OCT

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Castrucci BC, Rhoades EK, Leider JP, Hearne S. What gets measured gets done: an assessment of local data uses and needs in large urban health departments. J Public Health Manag Pract. 2015 Jan-Feb;21 Suppl 1:S38-48.

2014
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Liaw ST, Taggart J, Yu H, Lusignan Sd, Kuziemsky C, Hayen A. Integrating electronic health record information to support integrated care: Practical application of ontologies to improve the accuracy of diabetes disease registers. J Biomed Inform. 2014 Dec;52:364-72.

Curcin V, Woodcock T, Poots AJ, Majeed A, Bell D. Model-driven approach to data collection and reporting for quality improvement. J Biomed Inform. 2014 Dec;52:151-62.

Kang EM, Pinheiro SP, Hammad TA, Abou-Ali A. Evaluating the validity of clinical codes to identify cataract and glaucoma in the UK Clinical Practice Research Datalink. Pharmacoepidemiol Drug Saf. 2014 Nov 26. [E]

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Tymms K, Littlejohn GO. OPAL: a clinician driven point of care observational data management consortium. Clin Exp Rheumatol. 2014 Nov-Dec;32 Suppl 85(5):150-152.

Gazzarata R, Vergari F, Cinotti TS, Giacomini M. A Standardized SOA for Clinical Data Interchange in a Cardiac Telemonitoring Environment. IEEE J Biomed  Health Inform. 2014 Nov;18(6):1764-74

Walji MF, Kalenderian E, Stark PC, White JM, Kookal KK, Phan D, Tran D, Bernstam EV, Ramoni R. BigMouth: a multi-institutional dental data repository. J  Am Med Inform Assoc. 2014 Nov;21(6):1136-40. July

Walker KL, Kirillova O, Gillespie SE, Hsiao D, Pishchalenko V, Pai AK, Puro JE, Plumley R, Kudyakov R, Hu W, Allisany A, McBurnie M, Kurtz SE, Hazlehurst BL. Using the CER Hub to ensure data quality in a multi-institution smoking cessation study. J Am Med Inform Assoc. 2014 Nov;21(6):1129-35. [E]

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Gapinski MA, Sheetz AH. The evolution of school nursing data indicators in massachusetts: recommendations for a national data set. J Sch Nurs. 2014 Oct;30(5):317-23.

Morris MA, Kho AN. Silence in the EHR: infrequent documentation of aphonia in  the electronic health record. BMC Health Serv Res. 2014 Sep 23;14:425.

Welch CA, Petersen I, Bartlett JW, White IR, Marston L, Morris RW, Nazareth I, Walters K, Carpenter J. Evaluation of two-fold fully conditional specification multiple imputation for longitudinal electronic health record data. Stat Med. 2014 Sep 20;33(21):3725-37.

Bailey LC, Mistry KB, Tinoco A, Earls M, Rallins MC, Hanley K, Christensen K, Jones M, Woods D. Addressing electronic clinical information in the construction of quality measures. Acad Pediatr. 2014 Sep-Oct;14(5 Suppl):S82-9

Ross MK, Wei W, Ohno-Machado L.”Big data” and the electronic health record. Yearb Med Inform. 2014 Aug 15;9(1):97-104.

Richesson RL, Horvath MM, Rusincovitch SA.Clinical research informatics and electronic health record data. Yearb Med Inform. 2014 Aug 15;9(1):215-23.

Griffon N, Charlet J, Darmoni SJ. Managing free text for secondary use of health data. Yearb Med Inform. 2014 Aug 15;9(1):167-9.

Weisskopf M, Bucklar G, Blaser J.Tools in a clinical information systemsupporting clinical trials at a Swiss University Hospital.Clin Trials. 2014 Aug 12.[E]

Gardner W, Morton S, Byron SC, Tinoco A, Canan BD, Leonhart K, Kong V, Scholle SH. Using computer-extracted data from electronic health records to measure the quality of adolescent well-care. Health Serv Res. 2014 Aug;49(4):1226-48.

Choquet R, Maaroufi M, de Carrara A, Messiaen C, Luigi E, Landais P. A methodology for a minimum data set for rare diseases to support national centers  of excellence for healthcare and research. J Am Med Inform Assoc. 2014 Jul 18 [E]

Walker KL, Kirillova O, Gillespie SE, Hsiao D, Pishchalenko V, Kalsanka Pai A, Puro JE, Plumley R, Kudyakov R, Hu W, Allisany A, McBurnie M, Kurtz SE, Hazlehurst BL. Using the CER Hub to ensure data quality in a multi-institution smoking cessation study. J Am Med Inform Assoc. 2014 Jul 3. [E]

Fihn SD, Francis J, Clancy C, Nielson C, Nelson K, Rumsfeld J, Cullen T, Bates J, Graham GL. Insights from advanced analytics at the veterans health administration. Health Aff (Millwood). 2014 Jul 1;33(7):1203-11.

Heintzman J, Bailey SR, Hoopes MJ, Le T, Gold R, O’Malley JP, Cowburn S, Marino M, Krist A, DeVoe JE. Agreement of Medicaid claims and electronic health records for assessing preventive care quality among adults. J Am Med Inform Assoc. 2014 Jul;21(4):720-4.

Barkhuysen P, de Grauw W, Akkermans R, Donkers J, Schers H, Biermans M. Is the quality of data in an electronic medical record sufficient for assessing the quality of primary care? J Am Med Inform Assoc. 2014 Jul;21(4):692-698.

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Kush R, Goldman M. Fostering responsible data sharing through standards. N Engl J Med. 2014 Jun 5;370(23):2163-5.

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Salati M, Pompili C, Refai M, Xiumè F, Sabbatini A, Brunelli A. Real-time database drawn from an electronic health record for a thoracic surgery unit: high-quality clinical data saving time and human resources†. Eur J Cardiothorac Surg. 2014 Jun;45(6):1017-9.

Genta RM, Sonnenberg A. Big data in gastroenterology research. Nat Rev Gastroenterol Hepatol. 2014 Jun;11(6):386-90.

Raebel MA, Haynes K, Woodworth TS, Saylor G, Cavagnaro E, Coughlin KO, Curtis  LH, Weiner MG, Archdeacon P, Brown JS. Electronic clinical laboratory test results data tables: lessons from Mini-Sentinel. Pharmacoepidemiol Drug Saf. 2014 Jun;23(6):609-18.

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Stevenson JE, Israelsson J, Nilsson GC, Petersson GI, Bath PA. Recording signs of deterioration in acute patients: The documentation of vital signs within electronic health records in patients who suffered in-hospital cardiac arrest. Health Informatics J. 2014 Apr 29. [E]

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Nielsen G, Peschel L, Burgess A. Essential documentation elements: quality tool for the emergency department nurse. Adv Emerg Nurs J. 2014 Apr;36(2):199-205.

Hope C, Estrada N, Weir C, Teng CC, Damal K, Sauer BC. Documentation of delirium in the VA electronic health record. BMC Res Notes. 2014 Apr 3;7(1):208.

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Silverstone DE, Lim MC; American Academy of Ophthalmology Medical Information Technology Committee. Ensuring information integrity in the electronic health record: the crisis and the challenge. Ophthalmology. 2014 Feb;121(2):435-7.

Thomas AA, Zheng C, Jung H, Chang A, Kim B, Gelfond J, Slezak J, Porter K, Jacobsen SJ, Chien GW. Extracting data from electronic medical records: validation of a natural language processing program to assess prostate biopsy results. World J Urol. 2014 Feb;32(1):99-103.

Li T, Hutfless S, Scharfstein DO, Daniels MJ, Hogan JW, Little RJ, Roy JA, Law AH, Dickersin K. Standards should be applied in the prevention and handling of missing data for patient-centered outcomes research: a systematic review and expert consensus. J Clin Epidemiol. 2014 Jan;67(1):15-32.

2013
Preston NJ, Fayers P, Walters SJ, Pilling M, Grande GE, Short V, Owen-Jones E, Evans CJ, Benalia H, Higginson IJ, Todd CJ; MORECare. Recommendations for managing missing data, attrition and response shift in palliative and end-of-life care research: Part of the MORECare research method guidance on statistical issues. Palliat Med. 2013 Dec;27(10):899-907.

Lossius HM, Krüger AJ, Ringdal KG, Sollid SJ, Lockey DJ. Developing templates  for uniform data documentation and reporting in critical care using a modified nominal group technique. Scand J Trauma Resusc Emerg Med. 2013 Nov 26;21:80.

Eekhout I, de Boer RM, Twisk JW, de Vet HC, Heymans MW. Missing data: a systematic review of how they are reported and handled. Epidemiology. 2012 Sep;23(5):729-32.

Fraccaro P, Dentone C, Fenoglio D, Giacomini M. Multicentre clinical trials’ data management: a hybrid solution to exploit the strengths of electronic data capture and electronic health records systems. Inform Health Soc Care. 2013 Dec;38(4):313-29.

Acharya A, Hernandez P, Thyvalikakath T, Ye H, Song M, Schleyer T. Development and initial validation of a content taxonomy for patient records in general dentistry. Int J Med Inform. 2013 Dec;82(12):1171-82. Pathak J, Kho AN,

Denny JC. Electronic health records-driven phenotyping: challenges, recent advances, and perspectives. J Am Med Inform Assoc. 2013 Dec;20(e2):e206-11.

Hripcsak G, Albers DJ. Correlating electronic health record concepts with healthcare process events. J Am Med Inform Assoc. 2013 Dec;20(e2):e311-8.

Richesson RL, Hammond WE, Nahm M, Wixted D, Simon GE, Robinson JG, Bauck AE, Cifelli D, Smerek MM, Dickerson J, Laws RL, Madigan RA, Rusincovitch SA, Kluchar  C, Califf RM. Electronic health records based phenotyping in next-generation clinical trials: a perspective from the NIH Health Care Systems Collaboratory. J  Am Med Inform Assoc. 2013 Dec;20(e2):e226-31.

Tate AR, Beloff N, Al-Radwan B, Wickson J, Puri S, Williams T, Van Staa T, Bleach A. Exploiting the potential of large databases of electronic health records for research using rapid search algorithms and an intuitive query interface. J Am Med Inform Assoc. 2013 Nov 22. [E]

Liaw ST, Taggart J, Yu H, de Lusignan S. Data extraction from electronic health records – Existing tools may be unreliable and potentially unsafe. Aust Fam Physician. 2013 Nov;42(11):820-3.

Richardson K, Kenny RA, Peklar J, Bennett K. Agreement between patient interview data on prescription medication use and pharmacy records in those aged  older than 50 years varied by therapeutic group and reporting of indicated health conditions. J Clin Epidemiol. 2013 Nov;66(11):1308-16.

Pathak J, Bailey KR, Beebe CE, Bethard S, Carrell DC, Chen PJ, Dligach D, et al.  Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium. J Am Med Inform Assoc. 2013 Nov 4. [E]

Sinaci AA, Laleci Erturkmen GB. A federated semantic metadata registry framework for enabling interoperability across clinical research and care domains. J Biomed Inform. 2013 Oct;46(5):784-94.

Ritzwoller DP, Carroll N, Delate T, O’Keeffe-Rossetti M, Fishman PA, Loggers ET, Aiello Bowles EJ, Elston-Lafata J, Hornbrook MC. Validation of electronic data on chemotherapy and hormone therapy use in HMOs. Med Care. 2013 Oct;51(10):e67-73.

Weiskopf NG, Hripcsak G, Swaminathan S, Weng C. Defining and measuring completeness of electronic health records for secondary use. J Biomed Inform. 2013 Oct;46(5):830-6.

Bowman S. Impact of electronic health record systems on information integrity: quality and safety implications. Perspect Health Inf Manag. 2013 Oct 1;10:1c.

Coorevits P, Sundgren M, Klein GO, Bahr A, Claerhout B, Daniel C, Dugas M, Dupont D, Schmidt A, Singleton P, De Moor G, Kalra D. Electronic health records:  new opportunities for clinical research. J Intern Med. 2013 Aug 19. [E]

Arrowood D, Choate E, Curtis E, DeCathelineau S, Drury B, Fenton S, et al. Integrity of the healthcare record. Best practices for EHR documentation. J AHIMA. 2013 Aug;84(8):58-62.

Brown JS, Kahn M, Toh S. Data quality assessment for comparative effectiveness research in distributed data networks. Med Care. 2013 Aug;51(8 Suppl 3):S22-9.

Hersh WR, Weiner MG, Embi PJ, Logan JR, Payne PR, Bernstam EV, Lehmann HP, Hripcsak G, Hartzog TH, Cimino JJ, Saltz JH. Caveats for the use of operational electronic health record data in comparative effectiveness research. Med Care. 2013 Aug;51(8 Suppl 3):S30-7.

Bayley KB, Belnap T, Savitz L, Masica AL, Shah N, Fleming NS. Challenges in using electronic health record data for CER: experience of 4 learning organizations and solutions applied. Med Care. 2013 Aug;51(8 Suppl 3):S80-6.

Kern LM, Kaushal R. Accuracy of electronically reported “meaningful use” clinical quality measures. Ann Intern Med. 2013 Jul 2;159(1):73.   Ward MJ, Froehle CM, Hart KW, Lindsell CJ. Operational data integrity during  electronic health record implementation in the ED. Am J Emerg Med. 2013. Jul;31(7):1029-33.

Herrett E, Shah AD, Boggon R, Denaxas S, Smeeth L, van Staa T, Timmis A, Hemingway H. Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national  mortality records: cohort study. BMJ. 2013 May 20;346:f2350

Song M, Liu K, Abromitis R, Schleyer TL. Reusing electronic patient data for  dental clinical research: A review of current status. J Dent. 2013 Apr 18.[E]

Köpcke F, Trinczek B, Majeed RW, Schreiweis B, Wenk J, Leusch T, Ganslandt T, Ohmann C, Bergh B, Röhrig R, Dugas M, Prokosch HU. Evaluation of data completeness in the electronic health record for the purpose of patient recruitment into clinical trials: a retrospective analysis of element presence. BMC Med Inform Decis Mak. 2013 Mar 21;13:37.

Byrd JB, Vigen R, Plomondon ME, Rumsfeld JS, Box TL, Fihn SD, Maddox TM. Data quality of an electronic health record tool to support VA cardiac catheterization laboratory quality improvement: the VA Clinical Assessment, Reporting, and Tracking System for Cath Labs (CART) program. Am Heart J. 2013 Mar;165(3):434-40.

Clark JS, Delgado VA, Demorsky S, Dunagan EA, Eichelmann TA, Hooper LA, Landsbach G, Meehan AM, Neville DL, Nunn SL. Assessing and improving EHR data quality (updated). J AHIMA. 2013 Mar;84(3):48-53.

Thoroddsen A, Sigurjónsdóttir G, Ehnfors M, Ehrenberg A. Accuracy, completeness and comprehensiveness of information on pressure ulcers recorded in  the patient record. Scand J Caring Sci. 2013 Mar;27(1):84-91. doi:

Kern LM, Malhotra S, Barrón Y, Quaresimo J, Dhopeshwarkar R, Pichardo M, Edwards AM, Kaushal R. Accuracy of electronically reported “meaningful use” clinical quality measures: a cross-sectional study. Ann Intern Med. 2013 Jan 15;158(2):77-83.

Zhang Y, Sun W, Gutchell EM, Kvecher L, Kohr J, Bekhash A, Shriver CD, Liebman MN, Mural RJ, Hu H. QAIT: a quality assurance issue tracking tool to facilitate the improvement of clinical data quality. Comput Methods Programs,Biomed. 2013 Jan;109(1):86-91.

Hripcsak G, Albers DJ. Next-generation phenotyping of electronic health records. J Am Med Inform Assoc. 2013 Jan 1;20(1):117-21.

Weiskopf NG, Weng C. Methods and dimensions of electronic health record data  quality assessment: enabling reuse for clinical research. J Am Med Inform Assoc.  2013 Jan 1;20(1):144-51.

Cusack CM, Hripcsak G, Bloomrosen M, Rosenbloom ST, Weaver CA, Wright A, Vawdrey DK, Walker J, Mamykina L. The future state of clinical data capture and documentation: a report from AMIA’s 2011 Policy Meeting. J Am Med Inform Assoc. 2013 Jan 1;20(1):134-40

De Clercq E, Moreels S, Van Casteren V, Bossuyt N, Goderis G. Global quality  indicators for primary care Electronic Patient Records. Stud Health Technol Inform. 2013;186:66-70.

Shabestari O, Roudsari A. Challenges in data quality assurance for electronic health records. Stud Health Technol Inform. 2013;183:37-41.

2012
Reinikainen M, Mussalo P, Hovilehto S, Uusaro A, Varpula T, Kari A, Pettilä V; Finnish Intensive Care Consortium. Association of automated data collection and data completeness with outcomes of intensive care. A new customised model for outcome prediction. Acta Anaesthesiol Scand. 2012 Oct;56(9):1114-22.

Rea S, Pathak J, Savova G, Oniki TA, Westberg L, Beebe CE, Tao C, Parker CG, Haug PJ, Huff SM, Chute CG. Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: the SHARPn project. J Biomed Inform. 2012 Aug;45(4):763-71.

Roshanov PS, Gerstein HC, Hunt DL, Sebaldt RJ, Haynes RB. Impact of a computerized system for evidence-based diabetes care on completeness of records:  a before-after study. BMC Med Inform Decis Mak. 2012 Jul 7;12:63.

Greiver M, Barnsley J, Glazier RH, Harvey BJ, Moineddin R. Measuring data reliability for preventive services in electronic medical records. BMC Health Serv Res. 2012 May 14;12:116.

Burns EM, Rigby E, Mamidanna R, Bottle A, Aylin P, Ziprin P, Faiz OD. Systematic review of discharge coding accuracy. J Public Health (Oxf). 2012 Mar;34(1):138-48.

Singh H, Giardina TD, Forjuoh SN, Reis MD, Kosmach S, Khan MM, Thomas EJ. Electronic health record-based surveillance of diagnostic errors in primary care. BMJ Qual Saf. 2012 Feb;21(2):93-100.

McCormack JL, Ash JS. Clinician perspectives on the quality of patient data used for clinical decision support: a qualitative study. AMIA Annu Symp Proc. 2012;2012:1302-9.

Salazar M, Stinson KE, Sillau SH, Good L, Newman LS. Web-based electronic health records improve data completeness and reduce medical discrepancies in employee vaccination programs. Infect Control Hosp Epidemiol. 2012 Jan;33(1):84-6.

2011
Chute CG, Pathak J, Savova GK, Bailey KR, Schor MI, Hart LA, Beebe CE, Huff SM. The SHARPn project on secondary use of Electronic Medical Record data: progress, plans, and possibilities. AMIA Annu Symp Proc. 2011;2011:248-56.

Devoe JE, Gold R, McIntire P, Puro J, Chauvie S, Gallia CA. Electronic health  records vs Medicaid claims: completeness of diabetes preventive care data in community health centers. Ann Fam Med. 2011 Jul-Aug;9(4):351-8.

Greiver M, Barnsley J, Aliarzadeh B, Krueger P, Moineddin R, Butt DA, Dolabchian E, Jaakkimainen L, Keshavjee K, White D, Kaplan D; North Toronto Research Network (NorTReN). Using a data entry clerk to improve data quality in primary care electronic medical records: a pilot study. Inform Prim Care. 2011;19(4):241-50.

2010
Kahn MG, Eliason BB, Bathurst J. Quantifying clinical data quality using relative gold standards. AMIA Annu Symp Proc. 2010 Nov 13;2010:356-60.

Wrightson WA. A comparison of electronic and handwritten anaesthetic records  for completeness of information. Anaesth Intensive Care. 2010 Nov;38(6):1052-8.

Botsis T, Hartvigsen G, Chen F, Weng C. Secondary Use of EHR: Data Quality Issues and Informatics Opportunities. AMIA Summits Transl Sci Proc. 2010 Mar 1;2010:1-5.

Khan NF, Harrison SE, Rose PW. Validity of diagnostic coding within the General Practice Research Database: a systematic review. Br J Gen Pract. 2010 Mar;60(572):e128-36.

Terry AL, Chevendra V, Thind A, Stewart M, Marshall JN, Cejic S. Using your electronic medical record for research: a primer for avoiding pitfalls. Fam Pract. 2010 Feb;27(1):121-6.

Pous MF, Camporese M, Nobili A, Frau S, Del Zotti F, Conforti A, Zimol R, Giustetto G, Zermiani G, Lombardo G, Mezzalira L. Quality assessment of information about medications in primary care electronic patient record (EPR) systems. Inform Prim Care. 2010;18(2):109-16.

El Fadly A, Lucas N, Rance B, Verplancke P, Lastic PY, Daniel C. The REUSE project: EHR as single datasource for biomedical research. Stud Health Technol Inform. 2010;160(Pt 2):1324-8.

Elkin PL, Trusko BE, Koppel R, Speroff T, Mohrer D, Sakji S, Gurewitz I, Tuttle M, Brown SH. Secondary use of clinical data. Stud Health Technol Inform. 2010;155:14-29.

2009
Roth CP, Lim YW, Pevnick JM, Asch SM, McGlynn EA. The challenge of measuring  quality of care from the electronic health record. Am J Med Qual. 2009 Sep-Oct;24(5):385-94.

Sutherland JM, Steinum O. Hospital factors associated with clinical data quality. Health Policy. 2009 Aug;91(3):321-6.

Rollason W, Khunti K, de Lusignan S. Variation in the recording of diabetes diagnostic data in primary care computer systems: implications for the quality of care. Inform Prim Care. 2009;17(2):113-9.

2007
Zhang Y, Sun W, Gutchell EM, Hu H, Liebman MN, Shriver CD, Mural RJ. An issue tracking system to facilitate the enhancement of clinical data quality in the clinical breast care project. AMIA Annu Symp Proc. 2007 Oct 11:1173.

Terris DD, Litaker DG, Koroukian SM. Health state information derived from secondary databases is affected by multiple sources of bias. J Clin Epidemiol. 2007 Jul;60(7):734-41.

Baxter C, Dell R, Publ S, Race R. Assessing and improving EHR data quality. J AHIMA. 2007 Mar;78(3):69-72.

2006
Silfen E. Documentation and coding of ED patient encounters: an evaluation of the accuracy of an electronic medical record. Am J Emerg Med. 2006 Oct;24(6):664-78.

2005
Malin JL, Keating NL. The cost-quality trade-off: need for data quality standards for studies that impact clinical practice and health policy. J Clin Oncol. 2005 Jul 20;23(21):4581-4.

2004
Whiting P, Rutjes AW, Dinnes J, Reitsma J, Bossuyt PM, Kleijnen J. Development and validation of methods for assessing the quality of diagnostic accuracy studies. Health Technol Assess. 2004 Jun;8(25):iii, 1-234.

Sanderson H, Adams T, Budden M, Hoare C. Lessons from the central Hampshire electronic health record pilot project: evaluation of the electronic health record for supporting patient care and secondary analysis. BMJ. 2004 Apr 10;328(7444):875-8.

Majeed A. Sources, uses, strengths and limitations of data collected in primary care in England. Health Stat Q. 2004 Spring;(21):5-14.

de Lusignan S, Hague N, Brown A, Majeed A. An educational intervention to improve data recording in the management of ischaemic heart disease in primary care. J Public Health (Oxf). 2004 Mar;26(1):34-7.

2003
Thiru K, Hassey A, Sullivan F. Systematic review of scope and quality of electronic patient record data in primary care. BMJ. 2003 May 17;326(7398):1070.

2002
Soto CM, Kleinman KP, Simon SR. Quality and correlates of medical record documentation in the ambulatory care setting. BMC Health Serv Res. 2002 Dec 10;2(1):22.

De Lusignan S, Stephens PN, Adal N, Majeed A. Does feedback improve the quality of computerized medical records in primary care? J Am Med Inform Assoc. 2002 Jul-Aug;9(4):395-401.

Szeto HC, Coleman RK, Gholami P, Hoffman BB, Goldstein MK. Accuracy of computerized outpatient diagnoses in a Veterans Affairs general medicine clinic.  Am J Manag Care. 2002 Jan;8(1):37-43.

2001
Brown PJ, Harwood J, Brantigan P. Data quality probes–a synergistic method for quality monitoring of electronic medical record data accuracy and healthcare provision. Stud Health Technol Inform. 2001;84(Pt 2):1116-9.

Porter SC, Mandl KD. Data quality and the electronic medical record: a role for direct parental data entry. Proc AMIA Symp. 1999:354-8.

1998
Shaw A, Somerset M, Dunn L, Peters T, Faulkner A, Sharp D. Can we trust thequality of routine hospital outpatient information in the UK? Validating outpatient data from the patient administration system (PAS). J Health Serv Res Policy. 1998 Oct;3(4):203-6.

Bryant G. Aspects of data quality in the new millennium. Top Health Inf Manage. 1998 May;18(4):81-8.

1997
Hogan WR, Wagner MM. Accuracy of data in computer-based patient records. J Am Med Inform Assoc. 1997 Sep-Oct;4(5):342-55.

1995
Pringle M, Ward P, Chilvers C. Assessment of the completeness and accuracy of computer medical records in four practices committed to recording data on computer. Br J Gen Pract. 1995 Oct;45(399):537-41.

1993

Walshe K, Harrison N, Renshaw M. Comparison of the quality of patient data collected by hospital and departmental computer systems. Health Trends. 1993;25(3):105-8.