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Turning Feed-forward and Feedback Processes on Patient-reported Data into Intelligent Action and Informed
Brant J Oliver1,2,3,4, Eugene C Nelson4,5, Carolyn L Kerrigan6,7,8
1Department of Community and Family Medicine, the Dartmouth Institute for Health Policy and Clinical Practice, Lebanon.
Medical Care
|April 16, 2019
Summary
Collecting patient-reported outcomes (PROs) informs clinical care and improves health systems. Mature PRO systems offer decision support and predict outcomes, enhancing patient care and population health management.
Area of Science:
- Health Informatics
- Clinical Decision Support
- Patient-Reported Outcomes
Background:
- Patient-reported outcomes (PROs) offer valuable patient perspectives for clinical decision-making.
- Aggregated PRO data can inform population-level analytics for quality improvement and predictive modeling.
Purpose of the Study:
- To demonstrate system-level features for effective PRO interpretation and utilization.
- To illustrate the developmental progression of PRO information systems from simple to mature applications.
Main Methods:
- Analysis of three case studies showcasing different PRO system maturities and features.
- Examination of feed-forward and feedback information flows, score interpretation aids, and registry-enabled systems.
Main Results:
- PRO systems can be implemented at various levels of complexity, from informing individual patient care to supporting population health management.
- Mature PRO systems provide decision support, predict outcomes, and facilitate learning health care.
- Successful PRO integration requires robust IT infrastructure, workflow alignment, and a supportive practice culture.
Conclusions:
- Feed-forward and feedback PRO systems enhance clinician and patient engagement, improving system performance and population health.
- Future PRO systems hold promise for integrating patient preferences for shared decision-making and precision health.
- The development of PRO systems progresses towards advanced capabilities like prediction and decision support.
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