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, rheumatologyrelated 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.
Inter-individual and intra-individual occurrences of urgency and UI symptoms are highly variable in the general population. Use of established predictors to select individuals with less variability in symptoms may help to reduce placebo rates in clinical trials.
Objective. While questionnaires have been developed to capture patient-reported outcomes (PROs) in rheumatology practice, these instruments are not widely used. We developed a touchscreen interface designed to provide reliable and efficient data collection. Using the touchscreen to obtain PROs, we compared 2 different workflow models implemented separately in 2 rheumatology clinics. Methods. The Plan-Do-Study-Act methodology was used in 2 cycles of workflow redesign. Cycle 1 relied on off-the-shelf questionnaire builder software, and cycle 2 relied on a custom programmed software solution. Results. During cycle 1, clinic 1 (private practice model, resource replete, simple flow) demonstrated a high completion rate at the start, averaging between 74% and 92% for the first 12 weeks. Clinic 2 (academic model, resource deficient, complex flow) did not achieve a consistent completion rate above 60%. The revised cycle 2 implementation protocol incorporated a 15-minute "nurse visit," an instant messaging system, and a streamlined authentication process, all of which contributed to substantial improvement in touchscreen questionnaire completion rates of ϳ80% that were sustained without the need for any additional clinic staff support. Conclusion. Process redesign techniques and touchscreen technology were used to develop a highly successful, efficient, and effective process for the routine collection of PROs in a busy, complex, and resource-depleted academic practice and in typical private practice. The successful implementation required both a touchscreen questionnaire, human behavioral redesign, and other technical solutions.
BackgroundGenomic medicine is emerging into clinical care. Communication of genetic laboratory results to patients and providers is hampered by the complex technical nature of the laboratory reports. This can lead to confusion and misinterpretation of the results resulting in inappropriate care. Patients usually do not receive a copy of the report leading to further opportunities for miscommunication. To address these problems, interpretive reports were created using input from the intended end users, patients and providers. This paper describes the technical development and deployment of the first patient-facing genomic test report (PGR) within an electronic health record (EHR) ecosystem using a locally developed standards-based web-application interface.MethodsA patient-facing genomic test report with a companion provider report was configured for implementation within the EHR using a locally developed software platform, COMPASS™. COMPASS™ is designed to manage secure data exchange, as well as patient and provider access to patient reported data capture and clinical display tools. COMPASS™ is built using a Software as a Service (SaaS) approach which exposes an API that apps can interact with.ResultsAn authoring tool was developed that allowed creation of patient-specific PGRs and the accompanying provider reports. These were converted to a format that allowed them to be presented in the patient portal and EHR respectively using the existing COMPASS™ interface thus allowing patients, caregivers and providers access to individual reports designed for the intended end user.ConclusionsThe PGR as developed was shown to enhance patient and provider communication around genomic results. It is built on current standards but is designed to support integration with other tools and be compatible with emerging opportunities such as SMART on FHIR. This approach could be used to support genomic return of results as the tool is scalable and generalizable.
Scalable ways to quantify clinical encounter workflow elements may provide the means to develop more efficient approaches to care and improve the patient experience.
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