Veteran | Digital Healthcare Research

A Longitudinal Machine Learning Approach Providing Clinicians Timely Detection to Prevent Military Suicide

Description

This research will develop and validate a clinician-facing longitudinal risk-prediction tool using self-reported data from US military service members and veterans, to assist clinicians in screening, evaluation, and timely intervention in suicide ideation and suicide attempts.

Grant Number

R03 HS029557

Principal Investigator(s)

Chiu, Chung-Yi

Gao, Xiaotian

Ambulatory clinic exam room design with respect to computing devices: A laboratory simulation study.

Citation

Weiler DT, Satterly T, Rehman SU, et al. Ambulatory clinic exam room design with respect to computing devices: A laboratory simulation study. IISE Transactions on Occupational Ergonomics and Human Factors 2018; DOI: 10.1080/24725838.2018.1456988.

Principal Investigator

Saleem, Jason J.

Project Name

Ambulatory Clinic Exam Room Design With Respect to Computing Devices to Enhance Patient Centeredness

Ambulatory Clinic Exam Room Design With Respect to Computing Devices to Enhance Patient Centeredness - Final Report

Citation

Saleem, J. Ambulatory Clinic Exam Room Design With Respect to Computing Devices to Enhance Patient Centeredness - Final Report. (Prepared by the University of Louisville under Grant No. R03 HS024488). Rockville, MD: Agency for Healthcare Research and Quality, 2018.

Principal Investigator

Saleem, Jason J.

Project Name

Ambulatory Clinic Exam Room Design With Respect to Computing Devices to Enhance Patient Centeredness

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

Quantifying Electronic Medical Record Usability to Improve Clinical Workflow - Final Report

Citation

Agha Z. Quantifying Electronic Medical Record Usability to Improve Clinical Workflow - Final Report. (Prepared by the Veterans Medical Research Foundation under Grant No. R01 HS021290). Rockville, MD: Agency for Healthcare Research and Quality, 2017.

Principal Investigator

Agha, Zia

Project Name

Quantifying Electronic Medical Record Usability to Improve Clinical Workflow

Knowledge Engineering for Decision Support in Osteoporosis - Final Report

Citation

LaFleur J. Knowledge Engineering for Decision Support in Osteoporosis - Final Report. (Prepared by the University of Utah College of Pharmacy under Grant No. K08 HS018582). Rockville, MD: Agency for Healthcare Research and Quality, 2015.

Principal Investigator

Lafleur, Joanne

Project Name

Knowledge Engineering for Decision Support in Osteoporosis

Electronic trigger-based intervention to reduce delays in diagnostic evaluation for cancer: a cluster randomized controlled trial.

Citation

Murphy DR, Wu L, Thomas EJ, et al. Electronic trigger-based intervention to reduce delays in diagnostic evaluation for cancer: a cluster randomized controlled trial. J Clin Oncol 2015;33(31):3560–7. PMID: 26304875.

Principal Investigator

Singh, Hardeep

Project Name

Using Electronic Data to Improve Care of Patients With Known or Suspected Cancer

Comparing fracture absolute risk assessment (FARA) tools: an osteoporosis clinical informatics tool to improve identification and care of men at high risk of first fracture.

Citation

LaFleur J, Steenhoek CL, Horne J, et al. Comparing fracture absolute risk assessment (FARA) tools: an osteoporosis clinical informatics tool to improve identification and care of men at high risk of first fracture. Ann Pharmacother 2015;49(5):506–14. PMID: 25712443.

Principal Investigator

Lafleur, Joanne

Project Name

Knowledge Engineering for Decision Support in Osteoporosis

Fracture rates and bone density among postmenopausal veteran and non-veteran women from the Women’s Health Initiative.

Citation

LaFleur J, Rillamas-Sun E, Colón-Emeric CS, et al. Fracture rates and bone density among postmenopausal veteran and non-veteran women from the Women’s Health Initiative. Gerontologist 2016 Feb;56 Suppl 1:S78–90. PMID: 26768394.

Principal Investigator

Lafleur, Joanne

Project Name

Knowledge Engineering for Decision Support in Osteoporosis

Analysis of osteoporosis treatment patterns with bisphosphonates and outcomes among postmenopausal veterans.

Citation

LaFleur J, DuVall SL, Willson T, et al. Analysis of osteoporosis treatment patterns with bisphosphonates and outcomes among postmenopausal veterans. Bone 2015;78:174–85. PMID: 25896952.

Principal Investigator

Lafleur, Joanne

Project Name

Knowledge Engineering for Decision Support in Osteoporosis