Bioinformatics and Genomics

Empowering Cancer Patients Through Innovations in Information Technology-Based Reporting of Precision Medicine - Final Report

Citation
Gray S. Empowering Cancer Patients Through Innovations in Information Technology-Based Reporting of Precision Medicine - Final Report. (Prepared by Beckman Research Institute - City of Hope under Grant No. R21 HS024984). Rockville, MD: Agency for Healthcare Research and Quality, 2019.
Principal Investigator
Gray, Stacy W.
Project Name
Empowering Cancer Patients Through Innovations in Information Technology-Based Reporting of Precision Medicine

Annual Conference on Health Information Technology & Analytics (CHITA)

Description

The 2018-2020 annual Conference on Health IT & Analytics connected a wide range of academic disciplines, Federal agencies, policymakers, funders, practitioners, patient advocates, and industry professionals to develop a health information technology and analytics (HIT+A) research agenda and materials that were widely disseminated to identify trends and knowledge gaps in HIT+A.

Grant Number
R13 HS025673
Principal Investigator(s)
Agarwal, Ritu

Using workflow modeling to identify areas to improve genetic test processes in the University of Maryland Translational Pharmacogenomics Project.

Citation
Cutting EM, Overby CL, Banchero M, et al. Using workflow modeling to identify areas to improve genetic test processes in the University of Maryland Translational Pharmacogenomics Project. AMIA Annu Symp Proc 2015 Nov 5;2015:466-74. PMID: 26958179.
Principal Investigator
Overby, Casey L.
Project Name
Electronic Health Record-linked Decision Support for Communicating Genomic Data

Predictors of early discontinuation of pegylated interferon for reasons other than lack of efficacy in United States Veterans with chronic hepatitis C.

Citation
LaFleur J, Hoop R, Korner E, et al. Predictors of early discontinuation of pegylated interferon for reasons other than lack of efficacy in United States Veterans with chronic hepatitis C. Gastroenterol Nurs 2015 Nov-Dec;38(6):417-28. PMID: 26626031.
Principal Investigator
Lafleur, Joanne
Project Name
Knowledge Engineering for Decision Support in Osteoporosis