Juckett, David | Digital Healthcare Research

Phenotype Modeling and Outcome Mapping for Pain Management Decision Support

Description

This project explored whether the use of data from pain management practices can be used to develop more robust evidence-based approaches to chronic pain management.

Grant Number

R21 HS022335

Principal Investigator(s)

Juckett, David

Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling.

Citation

Juckett DA, Davis FN, Gostine M, et al. Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling. BMC Med Inform Decis Mak 2015;15:41. PMID: 26017305.

Principal Investigator

Juckett, David

Project Name

Phenotype Modeling and Outcome Mapping for Pain Management Decision Support

Discordant patient pain level reporting between questionnaires and physician encounters of the same day.

Citation

Juckett DA, Davis FN, Gostine M, et al. Discordant patient pain level reporting between questionnaires and physician encounters of the same day. AMIA Annu Symp Proc 2017 Feb 10;2016:667-76. PMID: 28269863.

Principal Investigator

Juckett, David

Project Name

Phenotype Modeling and Outcome Mapping for Pain Management Decision Support

Phenotype Modeling and Outcome Mapping for Pain Management Decision Support - Final Report

Citation

Juckett D. Phenotype Modeling and Outcome Mapping for Pain Management Decision Support - Final Report. (Prepared by Michigan State University under Grant No. R21 HS022335). Rockville, MD: Agency for Healthcare Research and Quality, 2017.

Principal Investigator

Juckett, David

Project Name

Phenotype Modeling and Outcome Mapping for Pain Management Decision Support