Current State Assessment

Choosing between patient care needs and accurate data capture: Exploring nurses' experiences of excessive documentation burden.

Citation
Thate J, Lee RY, Mugoya R, Diamond CJ, Daramola T, Yen PY, Rossetti SC. Choosing between patient care needs and accurate data capture: Exploring nurses' experiences of excessive documentation burden. Appl Clin Inform. 2025 Aug;16(4):1231-1243. doi: 10.1055/a-2683-5752. Epub 2025 Oct 1. PMID: 41033350; PMCID: PMC12488241.
Principal Investigator
Rossetti, Sarah Collins
Yen, Po-Yin
Project Name
Essential Nurse Documentation: Studying EHR Burden During COVID-19 (ENDBurden)

Building the evidence-base to reduce electronic health record-related clinician burden.

Citation
Dymek C, Kim B, Melton GB, Payne TH, Singh H, Hsiao CJ. Building the evidence-base to reduce electronic health record-related clinician burden. J Am Med Inform Assoc. 2021 Apr 23;28(5):1057-1061. doi: 10.1093/jamia/ocaa238. PMID: 33340326; PMCID: PMC8068419.
Principal Investigator
Melton-Meaux, Genevieve
Project Name
Discovery and Visualization of New Information from Clinical Reports in the Electronic Health Record

Building the evidence-base to reduce electronic health record-related clinician burden.

Citation
Dymek C, Kim B, Melton GB, Payne TH, Singh H, Hsiao CJ. Building the evidence-base to reduce electronic health record-related clinician burden. J Am Med Inform Assoc. 2021 Apr 23;28(5):1057-1061. doi: 10.1093/jamia/ocaa238. PMID: 33340326; PMCID: PMC8068419.
Principal Investigator
Goss, Foster R.
Project Name
Natural Language Processing To Identify and Rank Clinically Relevant Information for EHRs in the Emergency Department

Secondary analysis of Fluids and Catheters Treatment Trial (FACTT) data reveal poor clinical outcomes in acute respiratory distress syndrome patients with diabetes.

Citation
Alanazi AH, Almuntashiri S, Sikora A, Zhang D, Somanath PR. Secondary analysis of Fluids and Catheters Treatment Trial (FACTT) data reveal poor clinical outcomes in acute respiratory distress syndrome patients with diabetes. Respir Med. 2024 Mar;223:107540. doi: 10.1016/j.rmed.2024.107540. Epub 2024 Jan 28. PMID: 38290602; PMCID: PMC10985622.
Principal Investigator
Sikora, Andrea
Project Name
Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction