Using your electronic medical record for research: A primer for avoiding pitfalls

Family Practice

Volumn 27, Issue 1, 2009, Pages 121-126

  Terry, Amanda L ^a   Chevendra, Vijaya ^a   Thind, Amardeep ^a   Stewart, Moira ^a   Neil Marshall, J ^a   Cejic, Sonny ^a,b  

^a WESTERN UNIVERSITY   (Canada)

^b Byron Family Medical Centre   (Canada)

Author keywords

Electronic medical records; Primary health care; Research

Indexed keywords

ARTICLE; CANADA; ELECTRONIC MEDICAL RECORD; FAMILY MEDICINE; GENERAL PRACTICE; GENERAL PRACTITIONER; MEDICAL RESEARCH; PRIMARY MEDICAL CARE; QUALITY CONTROL; HEALTH SERVICES RESEARCH; MEDICAL RECORD; ORGANIZATION AND MANAGEMENT; PRACTICE GUIDELINE; PRIMARY HEALTH CARE;

ELECTRONIC HEALTH RECORDS; GUIDELINES AS TOPIC; HEALTH SERVICES RESEARCH; ONTARIO; PRIMARY HEALTH CARE;

EID: 77950491965     PISSN: 02632136     EISSN: 14602229     Source Type: Journal    
DOI: 10.1093/fampra/cmp068     Document Type: Article

References (27)

1. Schoen C, Osborn R, Huynh PT et al. On the front lines of care: primary care doctors' office systems, experiences, and views in seven countries. Health Aff 2006; 25: W555-71.
2. The College of Family Physicians of Canada, Canadian Medical Association, The Royal College of Physicians and Surgeons of Canada. 2007 National Physician Survey. 2007 http://www.nationalphysiciansurvey.ca/nps/2007_Survey/2007results-e.asp (accessed on 6 August 2008).
3. Protti D. Comparison of information technology in general practice in 10 countries. Healthc Q 2007; 10: 107-16.
4. Rosenthal MB, Frank RG, Li Z, Epstein AM. Early experience with pay-for-performance: from concept to practice. JAMA 2005; 294: 1788-93.
5. Doran T, Fullwood C, Gravelle H et al. Pay-for-performance programs in family practices in the United Kingdom.N Engl J Med 2006; 355: 375-84.
6. de Lusignan S, Chan T. The development of primary care information technology in the United Kingdom. J Ambul Care Manage 2008; 31: 201-10.
7. de Lusignan S, Metsemakers JFM, Houwink P, Gunnarsdottir V, van der Lei J. Routinely collected general practice data: goldmines for research? A report of the European Federation for Medical Informatics Primary Care InformaticsWorking Group (EFMI PCIWG) from MIE2006, Maastricht, The Netherlands. Inform Prim Care 2006; 14: 203-9.
8. Allwood I, Holt TA. The South Warwickshire NHS Care Records Service Demonstrator Project: lessons for the National Programme for IT. Inform Prim Care 2005; 13: 257-62.
9. Asche C, Said Q, Joish V, Hall CO, Brixner D. Assessment of COPD-related outcomes via a national electronic medical record database. Int J Chron Obstruct Pulmon Dis 2008; 3: 323-6.
10. Arar NH, Wen L, McGrath J, Steinbach R, Pugh JA. Communicating about medications during primary care outpatient visits: the role of electronic medical records. Inform Prim Care 2005; 13: 13-22.
11. Fiks AG, Grundmeier RW, Biggs LM, Localio AR, Alessandrini EA. Impact of clinical alerts within an electronic health record on routine childhood immunization in an urban pediatric population. Pediatrics 2007; 120: 707-14.
12. Jung E, Schnipper JL, Li Q et al. The coronary artery disease quality dashboard: a chronic care disease management tool in an electronic health record. AMIA Annu Symp Proc 2007; 999.
13. Gill JM, Fleischut P, Haas S et al. Use of antibiotics for adult upper respiratory infections in outpatient settings: a national ambulatory network study. Fam Med 2006; 38: 349-54.
14. Ornstein S, Nietert PJ, Jenkins RG et al. Improving the translation of research into primary care practice: results of a national quality improvement demonstration project. Jt Comm J Qual Patient Saf 2008; 34: 379-90.
15. Ryan R, Newnham A, Khunti K, Majeed A. New cases of diabetes mellitus in England and Wales, 1994-1998: database study. Public Health 2005; 119: 892-9.
16. Smeeth L, Thomas SL, Hall AJ et al. Risk of myocardial infarction and stroke after acute infection or vaccination. N Engl J Med 2004; 351: 2611-8.
17. Alonso A, Jick SS, Jick H, Hernan MA. Antibiotic use and risk of multiple sclerosis. Am J Epidemiol 2006; 163: 997-1002.
18. Gill JM, Chen Y. Quality of lipid management in outpatient care: a national study using electronic health records. Am J Med Qual 2008; 23: 375-81.
19. Hasan S, Padman R. Analyzing the effect of data quality on the accuracy of clinical decision support systems: a computer simulation approach. AMIA Annu Symp Proc 2006; 324-8.
20. World Organization Family Doctors. International Classification Committee. Rev 2nd edn. International Classification of Primary Care: ICPC-2-R. New York: Oxford University Press, 2005.
21. Hux JE, Ivis F, Flintoft V, Bica A. Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm. Diabetes Care 2002; 25: 512-6.
22. Tang PC, Ralston M, Arrigotti MF, Qureshi L, Graham J. Comparison of methodologies for calculating quality measures based on administrative data versus clinical data from an electronic health record system: implications for performance measures. J Am Med Inform Assoc 2007; 14: 10-5.
23. Hogan WR, Wagner MM. Accuracy of data in computerbased patient records. J Am Med Inform Assoc 1997; 4: 342-55.
24. Faulconer ER, de Lusignan S. An eight-step method for assessing diagnostic data quality in practice: chronic obstructive pulmonary disease as an exemplar. Inform Prim Care 2004; 12: 243-53.
25. Thiru K, Hassey A, Sullivan F. Systematic review of scope and quality of electronic patient record data in primary care. Br Med J 2003; 326: 1-5.
26. Hassey A, Gerrett D, Wilson A. A survey of validity and utility of electronic patient records in a general practice. Br Med J 2001; 322: 1401-5.
27. Jordan K, Porcheret M, Croft P. Quality of morbidity coding in general practice computerized medical records: a systematic review. Fam Pract 2004; 21: 396-412.