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Patient Experience Recommender System for Persuasive Communication Tailoring
Investigator (PI): Houston, Thomas K
Performing Organization (PO): (Current): University of Massachusetts, Medical School, Department of Population and Quantitative Health Sciences, Division of Health Informatics and Implementation Science / (508) 856-8999
Supporting Agency (SA): Patient-Centered Outcomes Research Institute (PCORI)
Initial Year: 2012
Final Year: 2015
Record Source/Award ID: PCORI/1IP2PI000582
Funding: Total Award Amount: $640,752
Award Type: Grant
Award Information: PCORI: More information and project results (when completed)
Abstract: To maximize patient perspective and effectively support lifestyle choices, we will develop the "Patient Experience Recommender System for Persuasive Communication Tailoring" (PERSPeCT). PERSPeCT is an adaptive computer system that will assess a patient's individual perspective, understand the patient's preferences for health messages, and provide personalized, persuasive health communication relevant to the individual patient. To improve the effectiveness of computer tailored health communication, we will adapt recommender systems frameworks that are widely used by innovative businesses outside of health care. This project is designed around three specific aims. We propose to 1) collect data for the PERSPeCT machine learning recommender system; 2) design, implement, train, and validate the PERSPeCT system; and then 3) conduct a pilot randomized trial comparing the impact of PERSPeCT versus a traditional rule-based system. In order to provide detailed predictions and best represent individual perspectives and preferences, recommender systems make use of data from multiple complimentary sources. Our initial concept of PERSPeCT includes information about the patients, user feedback (implicit and explicit), and information about the messages themselves. Relevance: PERSPeCT addresses areas of interest for PCORI, namely 1) identifying, testing, and/or evaluating methods that can be used to assess the patient perspective when researching behaviors, lifestyles, and choices within the patient's control; and 2) developing, refining, testing, and/or evaluating patient-centered approaches, including decision support tools. The successful completion of the PERSPeCT study will move the field of computer-tailored health communications forward and open the door to a variety of exciting future directions of direct relevance to the PCORI program.
MeSH Terms:
  • Algorithms
  • Artificial Intelligence
  • Choice Behavior
  • Communication
  • Decision Support Systems, Clinical
  • Health Communication
  • Humans
  • Life Style
  • * Patient Participation
  • * Patient Satisfaction
  • Patient-Centered Care
  • Pilot Projects
  • Professional-Patient Relations
  • Randomized Controlled Trials as Topic
  • Software
Country: United States
State: Massachusetts
Zip Code: 01605
UI: 20133153
CTgovId: NCT02200432
Project Status: Completed
Record History: ('Project extended to 2015, 8/3/15',)