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Research Letters |

The Relationship Between Electronic Health Records and Malpractice Claims

Mariah A. Quinn, MD, MPH; Allyson M. Kats, MSc; Ken Kleinman, ScD; David W. Bates, MD, MSc; Steven R. Simon, MD, MPH
Arch Intern Med. 2012;172(15):1187-1189. doi:10.1001/archinternmed.2012.2371.
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Federal policies have created incentives for the adoption and meaningful use of electronic health records (EHRs).1 While EHRs enhance documentation, make visits more efficient,2 reduce medication errors, and allow providers to track and manage their entire patient population, some physicians harbor reservations about potential unintended consequences of EHRs, including a possible increased risk of adverse events.34 Given the potential of EHRs to reduce adverse events and health care costs, the question of whether EHRs reduce the risk of malpractice lawsuits is a logical one. Malpractice claims are associated with harm to patients and are financially costly.5 Actual and feared malpractice claims may contribute to rising health care costs owing to the practice of “defensive medicine.”5

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Concerns Regarding the Relationship between Electronic Health Records and Malpractice Claims
Posted on October 26, 2012
Frederick J. White III, MD, FACC, FCCP, and William P. Coleman III, MD, FAAD
Louisiana Medical Mutual Insurance Company
Conflict of Interest: None Declared

We read with interest the article by Quinn MA, et al., which demonstrates a decrease in the rate of medical malpractice claims after adoption of an electronic health records system (EHR).(1) The authors’ hypotheses have been developed in a series of four publications, published between 2007 and 2012.(1-4) In a 2007 study, the authors found several static and dynamic factors to be significant covariates to EHR adoption rates.(3) In the 2008 survey, an apparently significant difference in numbers of paid malpractice claims among EHR adopters and non-adopters (and favorable to EHR adoption) disappeared when logistic regression for covariates was applied.(4) 

The current study, dichotomizing malpractice claims rates of individual physicians before and after EHR adoption, controls for static covariates by design. But this design does not control for known dynamic covariates, including several identified covariates that were not tested in the authors’ prior studies.(5) The causation of the reported serial differences in malpractice claims rates before and after EHR adoption is thus questionable. For example, a late career EHR adopter may also be decreasing the number of patient encounters, increasing time spent in patient communication, and intensifying risk management activities. This physician may experience a decline in the rate of malpractice claims due to factors contemporaneous to but completely independent of EHR adoption. 

The current study also does not account for the larger secular downward trend in malpractice claims for the period under study. A respected national accounting company has reported data indicating that the malpractice paid claims rate nationwide declined by 25 to 30% in the period from 1995 to 2007.(6) Not to account for this trend or for the known dynamic covariates in the time-dependent analysis applied to the study data makes the current study difficult to interpret. It is also of note that none of the actual data on claims rates is included in this report. The only specific data are raw claims counts in the Table, which have no time period for duration of exposure. 

As we struggle to determine the value of EHRs and whether their adoption aggravates or improves the rates of medical malpractice claims, we need transparent and statistically accurate studies which provide readers with reliable information. 

1. Quinn MA, et al. The relationship between electronic health records and malpractice claims. Arch Intern Med 172(15):1187-1189

2. Simon SR, et al. Correlates of electronic health record adoption in office practices: A state survey. J Am Med Inform Assoc 2007; 14(1):110-117. 

3. Simon SR, et al. Physicians and electronic health records: A statewide survey. Arch Intern Med 2007; 167(5):507-512. 

4. Virapongse A, et al. Electronic health records and malpractice claims in office practice. Arch Intern Med 2008; 168(21):2362-2367.

5. Gibbons RD, et al. A random-effects probit model for predicting medical malpractice claims. J Amer Statistical Assoc 1994; 89: 760-767.

6. KPMG LLP, Trends in physician liability claims frequency, September 15, 2010, http://www.casact.org/education/clrs/2010/handouts/HC2-Trends.pdf.

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