Clinical Staff/Clinician

Dynamic reaction picklist for improving allergy reaction documentation: A usability study.

Citation
Wang L., Park H., Vallamkonda S., Seger DL., Blackley SV., Garabedian PM., Goss F., Blumenthal KG., Bates DW., Murphy S, Zhou L. Dynamic reaction picklist for improving allergy reaction documentation: A usability study. Int J of Med Inform. 2023 Feb;170:104939. doi.org/10.1016/j.ijmedinf.2022.104939.Epub 2022 Dec 5. PMID:36529027; PMCID: PMC10167939.
Principal Investigator
Zhou, Li
Project Name
Improving Allergy Documentation and Clinical Decision Support in the Electronic Health Record

Advancing patient-centered clinical decision support in today's health care ecosystem: key themes from the Clinical Decision Support Innovation Collaborative's 2023 Annual Meeting.

Citation
Dullabh P, Dhopeshwarkar R, Cope E, Gauthreaux N, Zott C, Peterson C, Leaphart D, Hoyt S, Hammer A, Ryan S, Swiger J, Lomotan EA, Desai P; CDSiC Annual Meeting Planning Committee. Advancing patient-centered clinical decision support in today's health care ecosystem: key themes from the Clinical Decision Support Innovation Collaborative's 2023 Annual Meeting. JAMIA Open. 2024 Oct 23;7(4):ooae109. doi: 10.1093/jamiaopen/ooae109. PMID: 39445034; PMCID: PMC11498195.
Principal Investigator
Dullabh, Prashila
Project Name
Clinical Decision Support Innovation Collaborative (CDSiC)

Patient-centered clinical decision support challenges and opportunities identified from workflow execution models.

Citation
Sittig DF, Boxwala A, Wright A, Zott C, Gauthreaux NA, Swiger J, Lomotan EA, Dullabh P. Patient-centered clinical decision support challenges and opportunities identified from workflow execution models. J Am Med Inform Assoc. 2024 Aug 1;31(8):1682-1692. doi: 10.1093/jamia/ocae138. PMID: 38907738; PMCID: PMC11258405.
Principal Investigator
Dullabh, Prashila
Project Name
Clinical Decision Support Innovation Collaborative (CDSiC)

An AI-Directed CDS Tool to Reduce Iron Deficiency Anemia in Pregnancy: A Randomized Controlled Trial (AID-IDA Trial)

Description

This study will develop and establish the efficacy of an actionable predictive model to identify pregnant individuals at high risk for postpartum hemorrhage which can be used in combination with a clinical decision support tool to reduce the risk of hemorrhage-related morbidity and improve maternal health outcomes.

Grant Number
R21 HS030148
Principal Investigator(s)
Clapp, Mark A.

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

Evaluation of an intrahospital telemedicine program for patients admitted with COVID-19: Mixed methods study.

Citation
Legler S, Diehl M, Hilliard B, Olson A, Markowitz R, Tignanelli C, Melton GB, Broccard A, Kirsch J, Usher M. Evaluation of an intrahospital telemedicine program for patients admitted with COVID-19: Mixed methods study. J Med Internet Res. 2021 Apr 29;23(4):e25987. doi: 10.2196/25987. PMID: 33872187; PMCID: PMC8086788.
Principal Investigator
Usher, Michael G.
Project Name
Health Information Exchange Utilization and Inter-Hospital Transfer Outcomes