Literature DB >> 27941392

A new era of quality measurement in rheumatology: electronic clinical quality measures and national registries.

Chris Tonner1, Gabriela Schmajuk, Jinoos Yazdany.   

Abstract

PURPOSE OF REVIEW: This article reviews the evolution of quality measurement in rheumatology, highlighting new health-information technology infrastructure and standards that are enabling unprecedented innovation in this field. RECENT
FINDINGS: Spurred by landmark legislation that ties physician payment to value, the widespread use of electronic health records, and standards such as the Quality Data Model, quality measurement in rheumatology is rapidly evolving. Rather than relying on retrospective assessments of care gathered through administrative claims or manual chart abstraction, new electronic clinical quality measures (eCQMs) allow automated data capture from electronic health records. At the same time, qualified clinical data registries, like the American College of Rheumatology's Rheumatology Informatics System for Effectiveness registry, are enabling large-scale implementation of eCQMs across national electronic health record networks with real-time performance feedback to clinicians. Although successful examples of eCQM development and implementation in rheumatology and other fields exist, there also remain challenges, such as lack of health system data interoperability and problems with measure accuracy.
SUMMARY: Quality measurement and improvement is increasingly an essential component of rheumatology practice. Advances in health information technology are likely to continue to make implementation of eCQMs easier and measurement more clinically meaningful and accurate in coming years.

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Mesh:

Year:  2017        PMID: 27941392      PMCID: PMC5538369          DOI: 10.1097/BOR.0000000000000364

Source DB:  PubMed          Journal:  Curr Opin Rheumatol        ISSN: 1040-8711            Impact factor:   5.006


  32 in total

1.  Validating electronic cancer quality measures at Veterans Health Administration.

Authors:  Jeremy B Shelton; Ted A Skolarus; Diana Ordin; Jennifer Malin; AnnaLiza Antonio; Joan Ryoo; Christopher S Saigal
Journal:  Am J Manag Care       Date:  2014       Impact factor: 2.229

2.  Completeness, accuracy, and computability of National Quality Forum-specified eMeasures.

Authors:  Andy Amster; Joseph Jentzsch; Ham Pasupuleti; K G Subramanian
Journal:  J Am Med Inform Assoc       Date:  2014-10-17       Impact factor: 4.497

3.  Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network.

Authors:  Katherine M Newton; Peggy L Peissig; Abel Ngo Kho; Suzette J Bielinski; Richard L Berg; Vidhu Choudhary; Melissa Basford; Christopher G Chute; Iftikhar J Kullo; Rongling Li; Jennifer A Pacheco; Luke V Rasmussen; Leslie Spangler; Joshua C Denny
Journal:  J Am Med Inform Assoc       Date:  2013-03-26       Impact factor: 4.497

4.  Physician beliefs about the impact of meaningful use of the EHR: a cross-sectional study.

Authors:  S Emani; D Y Ting; M Healey; S R Lipsitz; A S Karson; J S Einbinder; L Leinen; V Suric; D W Bates
Journal:  Appl Clin Inform       Date:  2014-08-27       Impact factor: 2.342

5.  Physicians' explanations for apparent gaps in the quality of rheumatology care: results from the US Medicare Physician Quality Reporting System.

Authors:  Jeffrey R Curtis; Pradeep Sharma; Tarun Arora; Aseem Bharat; Itara Barnes; Michael A Morrisey; Meredith Kilgore; Kenneth G Saag; Nicole C Wright; Huifen G Yun; Elizabeth Delzell
Journal:  Arthritis Care Res (Hoboken)       Date:  2013-02       Impact factor: 4.794

6.  The feasibility and accuracy of evaluating lipid management performance metrics using an electronic health record.

Authors:  Christopher P Danford; Ann Marie Navar-Boggan; Judy Stafford; Catherine McCarver; Eric D Peterson; Tracy Y Wang
Journal:  Am Heart J       Date:  2013-09-17       Impact factor: 4.749

7.  Measuring quality in arthritis care: methods for developing the Arthritis Foundation's quality indicator set.

Authors:  Catherine H MacLean; Kenneth G Saag; Daniel H Solomon; Sally C Morton; Sarah Sampsel; John H Klippel
Journal:  Arthritis Rheum       Date:  2004-04-15

8.  Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium.

Authors:  Jyotishman Pathak; Kent R Bailey; Calvin E Beebe; Steven Bethard; David C Carrell; Pei J Chen; Dmitriy Dligach; Cory M Endle; Lacey A Hart; Peter J Haug; Stanley M Huff; Vinod C Kaggal; Dingcheng Li; Hongfang Liu; Kyle Marchant; James Masanz; Timothy Miller; Thomas A Oniki; Martha Palmer; Kevin J Peterson; Susan Rea; Guergana K Savova; Craig R Stancl; Sunghwan Sohn; Harold R Solbrig; Dale B Suesse; Cui Tao; David P Taylor; Les Westberg; Stephen Wu; Ning Zhuo; Christopher G Chute
Journal:  J Am Med Inform Assoc       Date:  2013-11-04       Impact factor: 4.497

Review 9.  Patterns of disease-modifying antirheumatic drug use in rheumatoid arthritis patients after 2002: a systematic review.

Authors:  Gabriela Schmajuk; Daniel H Solomon; Jinoos Yazdany
Journal:  Arthritis Care Res (Hoboken)       Date:  2013-12       Impact factor: 4.794

10.  e-Measures: insight into the challenges and opportunities of automating publicly reported quality measures.

Authors:  Terhilda Garrido; Sudheen Kumar; John Lekas; Mark Lindberg; Dhanyaja Kadiyala; Alan Whippy; Barbara Crawford; Jed Weissberg
Journal:  J Am Med Inform Assoc       Date:  2013-07-05       Impact factor: 4.497

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  4 in total

Review 1.  Digital health technologies: opportunities and challenges in rheumatology.

Authors:  Daniel H Solomon; Robert S Rudin
Journal:  Nat Rev Rheumatol       Date:  2020-07-24       Impact factor: 20.543

2.  Performance of a rule-based semi-automated method to optimize chart abstraction for surveillance imaging among patients treated for non-small cell lung cancer.

Authors:  Catherine Byrd; Ureka Ajawara; Ryan Laundry; John Radin; Prasha Bhandari; Ann Leung; Summer Han; Stephen M Asch; Steven Zeliadt; Alex H S Harris; Leah Backhus
Journal:  BMC Med Inform Decis Mak       Date:  2022-06-03       Impact factor: 3.298

3.  Extraction of Rheumatoid Arthritis Disease Activity Measures From Electronic Health Records Using Automated Processing Algorithms.

Authors:  Grant W Cannon; Jorge Rojas; Andreas Reimold; Ted R Mikuls; Debra Bergman; Brian C Sauer
Journal:  ACR Open Rheumatol       Date:  2019-10-30

Review 4.  Unmet need in rheumatology: reports from the Targeted Therapies meeting 2019.

Authors:  Kevin L Winthrop; Michael E Weinblatt; Joan Bathon; Gerd R Burmester; Philip J Mease; Leslie Crofford; Vivian Bykerk; Maxime Dougados; James Todd Rosenbaum; Xavier Mariette; Joachim Sieper; Fritz Melchers; Bruce N Cronstein; Ferry C Breedveld; Joachim Kalden; Josef S Smolen; Daniel Furst
Journal:  Ann Rheum Dis       Date:  2019-10-29       Impact factor: 19.103

  4 in total

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