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Bates, David

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Bates

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Bates, David

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  • Publication

    Meaningful Use of Electronic Health Records: Experiences From the Field and Future Opportunities

    (JMIR Publications Inc., 2015-09-18) Slight, Sarah P; Berner, Eta S; Galanter, William L.; Huff, Stanley; Lambert, Bruce L.; Lannon, Carole; Lehmann, Christoph U; McCourt, Brian J; McNamara, Michael; Menachemi, Nir; Payne, Thomas H; Spooner, S Andrew; Schiff, Gordon; Wang, Tracy Y; Akincigil, Ayse; Crystal, Stephen; Fortmann, Stephen P; Vandermeer, Meredith L; Bates, David

    Background With the aim of improving health care processes through health information technology (HIT), the US government has promulgated requirements for “meaningful use” (MU) of electronic health records (EHRs) as a condition for providers receiving financial incentives for the adoption and use of these systems. Considerable uncertainty remains about the impact of these requirements on the effective application of EHR systems.

    Objective The Agency for Healthcare Research and Quality (AHRQ)-sponsored Centers for Education and Research in Therapeutics (CERTs) critically examined the impact of the MU policy relating to the use of medications and jointly developed recommendations to help inform future HIT policy.

    Methods We gathered perspectives from a wide range of stakeholders (N=35) who had experience with MU requirements, including academicians, practitioners, and policy makers from different health care organizations including and beyond the CERTs. Specific issues and recommendations were discussed and agreed on as a group.

    Results Stakeholders’ knowledge and experiences from implementing MU requirements fell into 6 domains: (1) accuracy of medication lists and medication reconciliation, (2) problem list accuracy and the shift in HIT priorities, (3) accuracy of allergy lists and allergy-related standards development, (4) support of safer and effective prescribing for children, (5) considerations for rural communities, and (6) general issues with achieving MU. Standards are needed to better facilitate the exchange of data elements between health care settings. Several organizations felt that their preoccupation with fulfilling MU requirements stifled innovation. Greater emphasis should be placed on local HIT configurations that better address population health care needs.

    Conclusions Although MU has stimulated adoption of EHRs, its effects on quality and safety remain uncertain. Stakeholders felt that MU requirements should be more flexible and recognize that integrated models may achieve information-sharing goals in alternate ways. Future certification rules and requirements should enhance EHR functionalities critical for safer prescribing of medications in children.

  • Publication

    Lessons learned from implementation of computerized provider order entry in 5 community hospitals: a qualitative study

    (Springer Nature, 2013-06-24) Simon, Steven; Keohane, Carol A; Amato, Mary; Coffey, Michael; Cadet, Bismarck; Zimlichman, Eyal; Bates, David

    Background Computerized Provider Order Entry (CPOE) can improve patient safety, quality and efficiency, but hospitals face a host of barriers to adopting CPOE, ranging from resistance among physicians to the cost of the systems. In response to the incentives for meaningful use of health information technology and other market forces, hospitals in the United States are increasingly moving toward the adoption of CPOE. The purpose of this study was to characterize the experiences of hospitals that have successfully implemented CPOE.

    Methods We used a qualitative approach to observe clinical activities and capture the experiences of physicians, nurses, pharmacists and administrators at five community hospitals in Massachusetts (USA) that adopted CPOE in the past few years. We conducted formal, structured observations of care processes in diverse inpatient settings within each of the hospitals and completed in-depth, semi-structured interviews with clinicians and staff by telephone. After transcribing the audiorecorded interviews, we analyzed the content of the transcripts iteratively, guided by principles of the Immersion and Crystallization analytic approach. Our objective was to identify attitudes, behaviors and experiences that would constitute useful lessons for other hospitals embarking on CPOE implementation.

    Results Analysis of observations and interviews resulted in findings about the CPOE implementation process in five domains: governance, preparation, support, perceptions and consequences. Successful institutions implemented clear organizational decision-making mechanisms that involved clinicians (governance). They anticipated the need for education and training of a wide range of users (preparation). These hospitals deployed ample human resources for live, in-person training and support during implementation. Successful implementation hinged on the ability of clinical leaders to address and manage perceptions and the fear of change. Implementation proceeded smoothly when institutions identified and anticipated the consequences of the change.

    Conclusions The lessons learned in the five domains identified in this study may be useful for other community hospitals embarking on CPOE adoption.

  • Publication

    Distribution of Problems, Medications and Lab Results in Electronic Health Records: The Pareto Principle at Work

    (Georg Thieme Verlag KG, 2010) Bates, David; Wright, Adam

    Background: Many natural phenomena demonstrate power-law distributions, where very common items predominate. Problems, medications and lab results represent some of the most important data elements in medicine, but their overall distribution has not been reported.

    Objective: Our objective is to determine whether problems, medications and lab results demonstrate a power law distribution.

    Methods: Retrospective review of electronic medical record data for 100,000 randomly selected patients seen at least twice in 2006 and 2007 at the Brigham and Women’s Hospital in Boston and its affiliated medical practices.

    Results: All three data types exhibited a power law distribution. The 12.5% most frequently used problems account for 80% of all patient problems, the top 11.8% of medications account for 80% of all medication orders and the top 4.5% of lab result types account for all lab results.

    Conclusion: These three data elements exhibited power law distributions with a small number of common items representing a substantial proportion of all orders and observations, which has implications for electronic health record design.