Literature DB >> 19333976

A rheumatology-specific informatics-based application with a disease activity calculator.

Deborah S Collier1, Jonathan Kay, Greg Estey, Dominic Surrao, Henry C Chueh, Richard W Grant.   

Abstract

OBJECTIVE: To design a rheumatology-specific tool with a disease activity calculator integrated into the electronic medical records (EMRs) at our institution and assess physicians' attitudes toward the use of this tool.
METHODS: The Rheumatology OnCall (ROC) application culls rheumatology-pertinent data from our institution's laboratory, microbiology, pathology, radiology, and pharmacy information systems. Attending rheumatologists and rheumatology fellows accessed the ROC and disease activity calculator during outpatient visits at the time of the clinical encounter.
RESULTS: During the 12-week study period, 15 physicians used the ROC application and the disease activity calculator during 474 and 429 outpatient clinic visits, respectively. In weekly survey responses, physicians reported that use of the ROC interface improved patient care in 140 (78%) of 179 visits, and that the Disease Activity Score in 28 joints (DAS28) results at the time of the visit would not have changed patient management in 157 (88%) of these, although seeing a trend in DAS28 was useful in 149 (96%) of 156 visits. At the study's conclusion, most physicians reported that the ROC application was useful (11 of 12 physicians) and that seeing a trend in DAS28 improved daily patient care (12 of 13 physicians).
CONCLUSION: The ROC application is useful in daily rheumatologic care, and the disease activity calculator facilitates management of patients with rheumatoid arthritis. However, widespread acceptance and use of such tools depend upon the general acceptance of and access to EMRs in the clinical setting. The utility of the disease activity calculator may be limited by the lack of available acute-phase reactant results at the time of the clinical encounter.

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Year:  2009        PMID: 19333976     DOI: 10.1002/art.24345

Source DB:  PubMed          Journal:  Arthritis Rheum        ISSN: 0004-3591


  8 in total

Review 1.  Intelligent use and clinical benefits of electronic health records in rheumatoid arthritis.

Authors:  Robert J Carroll; Anne E Eyler; Joshua C Denny
Journal:  Expert Rev Clin Immunol       Date:  2015-02-08       Impact factor: 4.473

2.  Rheumatoid arthritis quality measures and radiographic progression.

Authors:  Sonali P Desai; Chih-Chin Liu; Heather Tory; Tabatha Norton; Michelle Frits; Siri Lillegraven; Michael Weinblatt; Jonathan Coblyn; Jinoos Yazdany; Nancy Shadick; Daniel H Solomon
Journal:  Semin Arthritis Rheum       Date:  2014-01-25       Impact factor: 5.532

3.  Three Quality Improvement Initiatives and Performance of Rheumatoid Arthritis Disease Activity Measures in Electronic Health Records: Results From an Interrupted Time Series Study.

Authors:  Julie Gandrup; Jing Li; Zara Izadi; Milena Gianfrancesco; Torkell Ellingsen; Jinoos Yazdany; Gabriela Schmajuk
Journal:  Arthritis Care Res (Hoboken)       Date:  2020-01-09       Impact factor: 4.794

Review 4.  Quality measurement and improvement in rheumatology: rheumatoid arthritis as a case study.

Authors:  Sonali P Desai; Jinoos Yazdany
Journal:  Arthritis Rheum       Date:  2011-12

Review 5.  Using Health Information Technology to Support Use of Patient-Reported Outcomes in Rheumatology.

Authors:  Julie Gandrup; Jinoos Yazdany
Journal:  Rheum Dis Clin North Am       Date:  2019-05       Impact factor: 2.670

Review 6.  Leveraging human genetics to develop future therapeutic strategies in rheumatoid arthritis.

Authors:  Robert M Plenge; Soumya Raychaudhuri
Journal:  Rheum Dis Clin North Am       Date:  2010-05       Impact factor: 2.670

7.  Clinical correlations with Porphyromonas gingivalis antibody responses in patients with early rheumatoid arthritis.

Authors:  Sheila L Arvikar; Deborah S Collier; Mark C Fisher; Sebastian Unizony; George L Cohen; Gail McHugh; Toshihisa Kawai; Klemen Strle; Allen C Steere
Journal:  Arthritis Res Ther       Date:  2013       Impact factor: 5.156

8.  The Relationship Between Electronic Health Record System and Performance on Quality Measures in the American College of Rheumatology's Rheumatology Informatics System for Effectiveness (RISE) Registry: Observational Study.

Authors:  Nevin Hammam; Zara Izadi; Jing Li; Michael Evans; Julia Kay; Stephen Shiboski; Gabriela Schmajuk; Jinoos Yazdany
Journal:  JMIR Med Inform       Date:  2021-11-12
  8 in total

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