OBJECTIVE: Electronic health records (EHRs) are not optimized for chronic disease management. To improve the quality of care for patients with rheumatic disease, we developed electronic data capture, aggregation, display, and documentation software. METHODS: The software integrated and reassembled information from the patient (via a touchscreen questionnaire), nurse, physician, and EHR into a series of actionable views. Core functions included trends over time, rheumatology-related demographics, and documentation for patient and provider. Quality measures collected included patient-reported outcomes, disease activity, and function. The software was tested and implemented in 3 rheumatology departments, and integrated into routine care delivery. Post-implementation evaluation measured adoption, efficiency, productivity, and patient perception. RESULTS: Over 2 years, 6,725 patients completed 19,786 touchscreen questionnaires. The software was adopted for use by 86% of patients and rheumatologists. Chart review and documentation time trended downward, and productivity increased by 26%. Patient satisfaction, activation, and adherence remained unchanged, although pre-implementation values were high. A strong correlation was seen between use of the software and disease control (weighted Pearson's correlation coefficient 0.5927, P = 0.0095), and a relative increase in patients with low disease activity of 3% per quarter was noted. CONCLUSION: We describe innovative software that aggregates, stores, and displays information vital to improving the quality of care for patients with chronic rheumatic disease. The software was well-adopted by patients and providers. Post-implementation, significant improvements in quality of care, efficiency of care, and productivity were demonstrated.
OBJECTIVE: Electronic health records (EHRs) are not optimized for chronic disease management. To improve the quality of care for patients with rheumatic disease, we developed electronic data capture, aggregation, display, and documentation software. METHODS: The software integrated and reassembled information from the patient (via a touchscreen questionnaire), nurse, physician, and EHR into a series of actionable views. Core functions included trends over time, rheumatology-related demographics, and documentation for patient and provider. Quality measures collected included patient-reported outcomes, disease activity, and function. The software was tested and implemented in 3 rheumatology departments, and integrated into routine care delivery. Post-implementation evaluation measured adoption, efficiency, productivity, and patient perception. RESULTS: Over 2 years, 6,725 patients completed 19,786 touchscreen questionnaires. The software was adopted for use by 86% of patients and rheumatologists. Chart review and documentation time trended downward, and productivity increased by 26%. Patient satisfaction, activation, and adherence remained unchanged, although pre-implementation values were high. A strong correlation was seen between use of the software and disease control (weighted Pearson's correlation coefficient 0.5927, P = 0.0095), and a relative increase in patients with low disease activity of 3% per quarter was noted. CONCLUSION: We describe innovative software that aggregates, stores, and displays information vital to improving the quality of care for patients with chronic rheumatic disease. The software was well-adopted by patients and providers. Post-implementation, significant improvements in quality of care, efficiency of care, and productivity were demonstrated.
Authors: Jeffrey R Curtis; Lang Chen; Maria I Danila; Kenneth G Saag; Kathy L Parham; John J Cush Journal: J Rheumatol Date: 2017-11-15 Impact factor: 4.666
Authors: Jutta G Richter; Gamal Chehab; Catarina Schwartz; Elisabeth Ricken; Monika Tomczak; Hasan Acar; Henrike Gappa; Carlos A Velasco; Peter Rosengren; Armanas Povilionis; Matthias Schneider; Jesper Thestrup Journal: Arthritis Res Ther Date: 2021-05-27 Impact factor: 5.156