Literature DB >> 18596863

Using electronic medical records to measure and improve performance.

Randall D Cebul1.   

Abstract

Clinical performance measurement and public reporting are taking center stage nationwide, linked to transparency initiatives and incentive systems that reward physicians for meeting endorsed quality standards. While electronic medical records (EMRs) are increasingly available to measure and improve quality of care, performance measurement continues to be dominated by the use of insurance claims. Limitations to claims-based measurement include challenges in assigning attribution of care to specific physicians, inefficient and incomplete sampling methods, and the coarseness of measures frequently available to insurers. Practice improvement using claims-based approaches is further limited by the inability to provide timely and specific feedback to physicians and their patients. Finally, in claims-based approaches, care is not measured for the 47 million uninsured patients in the United States. In the current presentation I describe how these limitations are being addressed using EMRs, highlighting the design and selected preliminary results of a large trial to improve the care of patients with diabetes.

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Year:  2008        PMID: 18596863      PMCID: PMC2394701     

Source DB:  PubMed          Journal:  Trans Am Clin Climatol Assoc        ISSN: 0065-7778


  9 in total

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Journal:  Diabetes Care       Date:  2005-01       Impact factor: 19.112

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Review 4.  Pay-for-performance and accountability: related themes in improving health care.

Authors:  John W Rowe
Journal:  Ann Intern Med       Date:  2006-11-07       Impact factor: 25.391

5.  Validity of using an electronic medical record for assessing quality of care in an outpatient setting.

Authors:  Andrea L Benin; Grace Vitkauskas; Elizabeth Thornquist; Eugene D Shapiro; John Concato; Mihaela Aslan; Harlan M Krumholz
Journal:  Med Care       Date:  2005-07       Impact factor: 2.983

6.  Assessing the accuracy of administrative data in health information systems.

Authors:  John W Peabody; Jeff Luck; Sharad Jain; Dan Bertenthal; Peter Glassman
Journal:  Med Care       Date:  2004-11       Impact factor: 2.983

7.  Discordance of databases designed for claims payment versus clinical information systems. Implications for outcomes research.

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Journal:  Ann Intern Med       Date:  1993-10-15       Impact factor: 25.391

8.  Care patterns in Medicare and their implications for pay for performance.

Authors:  Hoangmai H Pham; Deborah Schrag; Ann S O'Malley; Beny Wu; Peter B Bach
Journal:  N Engl J Med       Date:  2007-03-15       Impact factor: 91.245

9.  Electronic medical record-assisted design of a cluster-randomized trial to improve diabetes care and outcomes.

Authors:  Thomas E Love; Randall D Cebul; Douglas Einstadter; Anil K Jain; Holly Miller; C Martin Harris; Peter J Greco; Scott S Husak; Neal V Dawson
Journal:  J Gen Intern Med       Date:  2008-04       Impact factor: 5.128

  9 in total
  7 in total

1.  Implementing a Measurement Feedback System: A Tale of Two Sites.

Authors:  Leonard Bickman; Susan R Douglas; Ana Regina Vides De Andrade; Michele Tomlinson; Alissa Gleacher; Serene Olin; Kimberly Hoagwood
Journal:  Adm Policy Ment Health       Date:  2016-05

2.  Association Of A Regional Health Improvement Collaborative With Ambulatory Care-Sensitive Hospitalizations.

Authors:  Joseph Tanenbaum; Randall D Cebul; Mark Votruba; Douglas Einstadter
Journal:  Health Aff (Millwood)       Date:  2018-02       Impact factor: 6.301

3.  Documentation of contact precautions in an electronic health record.

Authors:  Bevin Cohen; Sarah A Clock; Elaine Larson; Maryam Behta; Barbara Ross; Reonel Saddul; David K Vawdrey
Journal:  J Nurs Care Qual       Date:  2011 Jul-Sep       Impact factor: 1.597

4.  Implementing a Measurement Feedback System in Community Mental Health Clinics: A Case Study of Multilevel Barriers and Facilitators.

Authors:  Alissa A Gleacher; Serene S Olin; Erum Nadeem; Michele Pollock; Vanesa Ringle; Leonard Bickman; Susan Douglas; Kimberly Hoagwood
Journal:  Adm Policy Ment Health       Date:  2016-05

5.  Attributing Patients to Pediatric Residents Using Electronic Health Record Features Augmented with Audit Logs.

Authors:  Mark V Mai; Evan W Orenstein; John D Manning; Anthony A Luberti; Adam C Dziorny
Journal:  Appl Clin Inform       Date:  2020-06-24       Impact factor: 2.342

6.  Investigating concordance in diabetes diagnosis between primary care charts (electronic medical records) and health administrative data: a retrospective cohort study.

Authors:  Stewart B Harris; Richard H Glazier; Jordan W Tompkins; Andrew S Wilton; Vijaya Chevendra; Moira A Stewart; Amardeep Thind
Journal:  BMC Health Serv Res       Date:  2010-12-23       Impact factor: 2.655

7.  Health plan administrative records versus birth certificate records: quality of race and ethnicity information in children.

Authors:  Ning Smith; Rajan L Iyer; Annette Langer-Gould; Darios T Getahun; Daniel Strickland; Steven J Jacobsen; Wansu Chen; Stephen F Derose; Corinna Koebnick
Journal:  BMC Health Serv Res       Date:  2010-11-23       Impact factor: 2.655

  7 in total

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