Literature DB >> 19482968

The challenge of measuring quality of care from the electronic health record.

Carol P Roth1, Yee-Wei Lim, Joshua M Pevnick, Steven M Asch, Elizabeth A McGlynn.   

Abstract

The electronic health record (EHR) is seen by many as an ideal vehicle for measuring quality of health care and monitoring ongoing provider performance. It is anticipated that the availability of EHR-extracted data will allow quality assessment without the expensive and time-consuming process of medical record abstraction. A review of the data requirements for the indicators in the Quality Assessment Tools system suggests that only about a third of the indicators would be readily accessible from EHR data. Other factors involving complexity of required data elements, provider documentation habits, and EHR variability make the task of quality measurement more difficult than may be appreciated. Accurately identifying eligible cases for quality assessment and validly scoring those cases with EHR-extracted data will pose significant challenges but could potentially plummet the cost and therefore expand the use of quality assessment.

Mesh:

Year:  2009        PMID: 19482968     DOI: 10.1177/1062860609336627

Source DB:  PubMed          Journal:  Am J Med Qual        ISSN: 1062-8606            Impact factor:   1.852


  43 in total

1.  Association of Medical Directors of Information Systems consensus on inpatient electronic health record documentation.

Authors:  J Shoolin; L Ozeran; C Hamann; W Bria
Journal:  Appl Clin Inform       Date:  2013-06-26       Impact factor: 2.342

2.  Variation in Screening Abnormality Rates and Follow-Up of Breast, Cervical and Colorectal Cancer Screening within the PROSPR Consortium.

Authors:  Anna N A Tosteson; Elisabeth F Beaber; Jasmin Tiro; Jane Kim; Anne Marie McCarthy; Virginia P Quinn; V Paul Doria-Rose; Cosette M Wheeler; William E Barlow; Mackenzie Bronson; Michael Garcia; Douglas A Corley; Jennifer S Haas; Ethan A Halm; Aruna Kamineni; Carolyn M Rutter; Tor D Tosteson; Amy Trentham-Dietz; Donald L Weaver
Journal:  J Gen Intern Med       Date:  2016-04       Impact factor: 5.128

3.  Analysis of medication and indication occurrences in clinical notes.

Authors:  Sunghwan Sohn; Hongfang Liu
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

4.  Learning to identify treatment relations in clinical text.

Authors:  Cosmin A Bejan; Joshua C Denny
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

5.  Assessing the role of a medication-indication resource in the treatment relation extraction from clinical text.

Authors:  Cosmin Adrian Bejan; Wei-Qi Wei; Joshua C Denny
Journal:  J Am Med Inform Assoc       Date:  2014-10-21       Impact factor: 4.497

6.  Specifications of Clinical Quality Measures and Value Set Vocabularies Shift Over Time: A Study of Change through Implementation Differences.

Authors:  Raja A Cholan; Nicole G Weiskopf; Douglas L Rhoton; Nicholas V Colin; Rachel L Ross; Melanie N Marzullo; Bhavaya Sachdeva; David A Dorr
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

7.  A clinically guided approach for improving performance measurement for hypertension.

Authors:  Michael A Steinman; Sei J Lee; Carolyn A Peterson; Kathy Z Fung; Mary K Goldstein
Journal:  Med Care       Date:  2012-05       Impact factor: 2.983

8.  Using computer-extracted data from electronic health records to measure the quality of adolescent well-care.

Authors:  William Gardner; Suzanne Morton; Sepheen C Byron; Aldo Tinoco; Benjamin D Canan; Karen Leonhart; Vivian Kong; Sarah Hudson Scholle
Journal:  Health Serv Res       Date:  2014-01-29       Impact factor: 3.402

9.  The Use of Evidence-Based, Problem-Oriented Templates as a Clinical Decision Support in an Inpatient Electronic Health Record System.

Authors:  Raj Mehta; Nila S Radhakrishnan; Carrie D Warring; Ankur Jain; Jorge Fuentes; Angela Dolganiuc; Laura S Lourdes; John Busigin; Robert R Leverence
Journal:  Appl Clin Inform       Date:  2016-08-17       Impact factor: 2.342

10.  Primary Care Practices' Abilities And Challenges In Using Electronic Health Record Data For Quality Improvement.

Authors:  Deborah J Cohen; David A Dorr; Kyle Knierim; C Annette DuBard; Jennifer R Hemler; Jennifer D Hall; Miguel Marino; Leif I Solberg; K John McConnell; Len M Nichols; Donald E Nease; Samuel T Edwards; Winfred Y Wu; Hang Pham-Singer; Abel N Kho; Robert L Phillips; Luke V Rasmussen; F Daniel Duffy; Bijal A Balasubramanian
Journal:  Health Aff (Millwood)       Date:  2018-04       Impact factor: 6.301

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