Osteoporosis | Digital Healthcare Research

Identification of Patients with Low Life Expectancy - Final Report

Citation

Turchin A. Identification of Patients with Low Life Expectancy - Final Report. (Prepared by Cincinnati Children's Hospital Medical Center under Grant No. R21 HS024977). Rockville, MD: Agency for Healthcare Research and Quality, 2019.

Principal Investigator

Turchin, Alexander

Project Name

Identification of Patients with Low Life Expectancy

Description

This research combined the artificial intelligence technology technique Dynamic Logic with natural language processing to create a model to predict risk of death over the next 12 months and found it was better than benchmark statistical and machine learning algorithms.

Grant Number

R01 HS024090

Principal Investigator(s)

Turchin, Alexander

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

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

Factors associated with screening or treatment initiation among male United States veterans at risk for osteoporosis fracture.

Citation

Nelson RE, Nebeker JR, Sauer BC, et al. Factors associated with screening or treatment initiation among male United States veterans at risk for osteoporosis fracture. Bone 2012;50(4):983-8.

Principal Investigator

Lafleur, Joanne

Project Name

Knowledge Engineering for Decision Support in Osteoporosis

An Interactive Preventive Health Record (IPHR) to Promote Patient-Centered Care

Description

The Interactive Preventive Health Record is a personal health record that was created and tested to make preventive information actionable for patients.

Grant Number

R18 HS017046

Principal Investigator(s)

Krist, Alexander H.

Knowledge Engineering for Decision Support in Osteoporosis

Description

This project developed a Veterans Affairs-optimized fracture absolute risk assessment rule for identifying males at highest risk of osteoporotic fracture.

Grant Number

K08 HS018582

Principal Investigator(s)

Lafleur, Joanne