Translating clinical and patient-reported data to tailored shared decision reports with predictive analytics for knee and hip arthritis.

ABSTRACT:

Introduction

New informatics tools can transform evidence-based information to individualized predictive reports to serve shared decisions in clinic. We developed a web-based system to collect patient-reported outcomes (PROs) and medical risk factors and to compare responses to national registry data. The system generates predicted outcomes for individual patients and a report for use in clinic to support decisions. We present the report development, presentation, and early experience implementing this PRO-based, shared decision report for knee and hip arthritis patients seeking orthopedic evaluation.

Methods

Iterative patient and clinician interviews defined report content and visual display. The web-system supports: (a) collection of PROs and risk data at home or in office

SUBMITTER: Franklin PD 

PROVIDER: S-EPMC8528740 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature