Nurse | Digital Healthcare Research

Using Large Language Models to Identify Social Determinants of Health to Enhance Healthcare Services and Equity

Description

This research explores using natural language processing and generative AI to capture and structure social determinants of health from patient narratives, aiming to improve data completeness and quality, enhance clinical decision support, and reduce the manual burden on clinical staff in routine care.

Grant Number

R21 HS029991

Principal Investigator(s)

Goss, Foster R.

Zhou, Li

Clinician perceptions on the use of free-text communication orders.

Citation

Kandaswamy S, Pruitt Z, Kazi S, Marquard J, Owens S, Hoffman DJ, Ratwani RM, Hettinger AZ. Clinician perceptions on the use of free-text communication orders. Appl Clin Inform. 2021 May;12(3):484-494. doi: 10.1055/s-0041-1731002. Epub 2021 Jun 2. PMID: 34077971; PMCID: PMC8172259.

Principal Investigator

Ratwani, Raj M.

Hettinger, Aaron Zachary

Project Name

Improving Patient Safety and Clinician Cognitive Support Through eMAR Redesign

Improving Identification And Coordination Of Mobility Interventions In The ICU Using Clinical Decision Support

Description

The study will develop and test a vendor-compatible clinical decision support system to support intensive care unit nurses and physical therapists at the point of care in the timely identification of patients suitable for activity interventions and the creation of personalized activity plans.

Grant Number

R21 HS029959

Principal Investigator(s)

Krupp, Anna

Dunn Lopez, Karen

Improving Patient Safety and Clinician Cognitive Support Through eMAR Redesign – Final Report

Citation

Ratwani R., Hettinger A. Improving Patient Safety and Clinician Cognitive Support Through eMAR Redesign – Final Report. (Prepared by MedStar Health Research Institute under Grant No. R01 HS025136). Rockville, MD: Agency for Healthcare Research and Quality, 2024.

Principal Investigator

Ratwani, Raj M.

Hettinger, Aaron Zachary

Project Name

Improving Patient Safety and Clinician Cognitive Support Through eMAR Redesign

Implementation of Electronic Health Screening in Primary Care to Improve STI Testing - Final Report

Citation

Ahmad F. Implementation of Electronic Health Screening in Primary Care to Improve STI Testing – Final Report. (Prepared by Washington University under Grant No. R18 HS026704). Rockville, MD: Agency for Healthcare Research and Quality, 2023.

Principal Investigator

Ahmad, Fahd A.

Project Name

Implementation of Electronic Health Screening in Primary Care to Improve STI Testing

IMProving Outcomes Related to Patients Through Advanced Nursing Technology (IMPORTANT) – Final Report

Citation

Sun C. IMProving Outcomes Related to Patients Through Advanced Nursing Technology (IMPORTANT) – Final Report. (Prepared by Hunter College under Grant No. R03 HS027006). Rockville, MD: Agency for Healthcare Research and Quality, 2023.

Principal Investigator

Sun, Carolyn J.

Project Name

IMProving Outcomes Related to Patients Through Advanced Nursing Technology (IMPORTANT)

Barriers to seasonal influenza vaccine uptake in a pediatric inpatient healthcare setting after implementation of clinical decision support.

Citation

Kandaswamy S, Masterson E, Blanco R, Shah P, Lantis P, Iyer S, Shane A, Jernigan S, Orenstein E. Barriers to seasonal influenza vaccine uptake in a pediatric inpatient healthcare setting after implementation of clinical decision support. Stud Health Technol Inform. 2022 Jun 6;290:452-456. doi: 10.3233/SHTI220116. PMID: 35673055.

Principal Investigator

Orenstein, Evan William

Project Name

Improving Influenza Vaccine Uptake in Acute Care Settings

Ambulatory care coordination data gathering and use.

Citation

Geary CR, Hook M, Popejoy L, Smith E, Pasek L, Heermann Langford L, Hewner S. Ambulatory care coordination data gathering and use. Comput Inform Nurs. 2024 Jan 1;42(1):63-70. doi: 10.1097/CIN.0000000000001069. PMID: 37748014.

Principal Investigator

Hewner, Sharon

Project Name

Implementing Personalized Cross-Sector Transitional Care Management to Promote Care Continuity, Reduce Low-Value Utilization, and Reduce the Burden of Treatment for High-Need, High-Cost Patients

"Our job is to be so temporary": Designing digital tools that meet the needs of care managers and their patients with mental health concerns.

Citation

Kornfield R, Lattie EG, Nicholas J, Knapp AA, Mohr DC, Reddy M. "Our job is to be so temporary": Designing digital tools that meet the needs of care managers and their patients with mental health concerns. Proc ACM Hum Comput Interact. 2023 Oct;7(CSCW2):302. doi: 10.1145/3610093. Epub 2023 Oct 4. PMID: 38094872; PMCID: PMC10718568.

Principal Investigator

Lattie, Emily Gardiner

Project Name

Implementation of Digital Mental Health Tools in Ambulatory Care Coordination

Improving Safety and Quality of Emergency Care Using Machine Learning-Based Clinical Decision Support at Triage

Description

This research will design, implement, and evaluate an emergency department triage machine learning algorithm, with an emphasis on predicted patient acuity and complexity, and incorporate it into a clinician-facing clinical decision support tool to promote safer, higher quality, and more equitable care.

Grant Number

R01 HS029179

Principal Investigator(s)

Sax, Dana