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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

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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.

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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.