Predictive Modeling

A randomized controlled trial of artificial intelligence-based analytics for clinical deterioration.

Citation
Keim-Malpass J, Ratcliffe SJ, Clark MT, Krahn KN, Monfredi OJ, Hamil S, Yousefvand G, Jones MK, Nelson A, Moorman LP, Moorman JR, Bourque JM. A randomized controlled trial of artificial intelligence-based analytics for clinical deterioration. Sci Rep. 2026 Feb 5;16(1):7345. doi: 10.1038/s41598-026-39051-z. PMID: 41644641; PMCID: PMC12923516.
Principal Investigator
Keim-Malpass, Jessica
Bourque, Jamieson MacDonald
Project Name
Predictive Monitoring: IMPact of Real-Time Predictive Monitoring in Acute Care Cardiology Trial (PM-IMPACCT)

Machine learning-based prediction of prolonged duration of mechanical ventilation using medication data.

Citation
Murray B, Zhao B, Chen Z, Smith SE, Kong Y, Shen Y, Li S, Chen X, Sikora A; MRC‐ICU Investigator Team. Machine learning-based prediction of prolonged duration of mechanical ventilation using medication data. Pharmacotherapy. 2026 Feb;46(2):e70090. doi: 10.1002/phar.70090. Epub 2026 Jan 6. PMID: 41495589.
Principal Investigator
Sikora, Andrea
Project Name
Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction

Machine learning-based prediction of prolonged duration of mechanical ventilation using medication data.

Citation
Murray B, Zhao B, Chen Z, Smith SE, Kong Y, Shen Y, Li S, Chen X, Sikora A; MRC‐ICU Investigator Team. Machine learning-based prediction of prolonged duration of mechanical ventilation using medication data. Pharmacotherapy. 2026 Feb;46(2):e70090. doi: 10.1002/phar.70090. Epub 2026 Jan 6. PMID: 41495589.
Principal Investigator
Sikora, Andrea
Project Name
Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction

An artificial intelligence-based framework for predicting emergency department overcrowding: Development and evaluation study.

Citation
Vural O, Ozaydin B, Aram KY, Booth J, Lindsey BF, Ahmed A. An artificial intelligence-based framework for predicting emergency department overcrowding: Development and evaluation study. JMIR Med Inform. 2025 Sep 17;13:e73960. doi: 10.2196/73960. PMID: 40961493; PMCID: PMC12489414.
Principal Investigator
Ahmed, Abdulaziz
Ozaydin, Bunyamin
Project Name
Building and Implementing a Predictive Decision Support System Based on a Proactive Full Capacity Protocol to Mitigate Emergency Department Overcrowding Problems

Shared decision making using digital twins in knee osteoarthritis care: A randomized clinical trial of an AI-enabled decision aid versus education alone on decision quality, physical function, and user experience.

Citation
Jayakumar P, Rathouz PJ, Lin E, Trutner Z, Uhler LM, Andrawis J, Koenig KM, Tsevat J, Bozic KJ. Shared decision making using digital twins in knee osteoarthritis care: A randomized clinical trial of an AI-enabled decision aid versus education alone on decision quality, physical function, and user experience. EClinicalMedicine. 2025 Oct 4;89:103545. doi: 10.1016/j.eclinm.2025.103545. PMID: 41112505; PMCID: PMC12528923.
Principal Investigator
Bozic, Kevin John
Tsevat, Joel
Project Name
Incorporating Patient-Reported Outcomes into Shared Decision Making with Patients with Osteoarthritis of the Knee

Prediction of pharmacist medication interventions using medication regimen complexity.

Citation
Zhao B, Shen Y, Devlin JW, Murphy DJ, Smith SE, Murray B, Rowe S, Sikora A. Prediction of pharmacist medication interventions using medication regimen complexity. JAMIA Open. 2025 Nov 3;8(6):ooaf138. doi: 10.1093/jamiaopen/ooaf138. PMID: 41190317; PMCID: PMC12582545.
Principal Investigator
Sikora, Andrea
Project Name
Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction

Prediction of pharmacist medication interventions using medication regimen complexity.

Citation
Zhao B, Shen Y, Devlin JW, Murphy DJ, Smith SE, Murray B, Rowe S, Sikora A. Prediction of pharmacist medication interventions using medication regimen complexity. JAMIA Open. 2025 Nov 3;8(6):ooaf138. doi: 10.1093/jamiaopen/ooaf138. PMID: 41190317; PMCID: PMC12582545.
Principal Investigator
Sikora, Andrea
Project Name
Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction

PharmacyGPT: Exploration of artificial intelligence for medication management in the intensive care unit.

Citation
Liu Z, Xu S, Wu Z, Murray B, F Barreto E, Li S, Liu W, Li X, Liu T, Sikora A. PharmacyGPT: Exploration of artificial intelligence for medication management in the intensive care unit. BMC Med Inform Decis Mak. 2025 Oct 28;25(1):398. doi: 10.1186/s12911-025-03230-1. PMID: 41152866; PMCID: PMC12570815.
Principal Investigator
Sikora, Andrea
Project Name
Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction

PharmacyGPT: Exploration of artificial intelligence for medication management in the intensive care unit.

Citation
Liu Z, Xu S, Wu Z, Murray B, F Barreto E, Li S, Liu W, Li X, Liu T, Sikora A. PharmacyGPT: Exploration of artificial intelligence for medication management in the intensive care unit. BMC Med Inform Decis Mak. 2025 Oct 28;25(1):398. doi: 10.1186/s12911-025-03230-1. PMID: 41152866; PMCID: PMC12570815.
Principal Investigator
Sikora, Andrea
Project Name
Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction

An artificial intelligence-based framework for predicting emergency department overcrowding: Development and evaluation study.

Citation
Vural O, Ozaydin B, Aram KY, Booth J, Lindsey BF, Ahmed A. An artificial intelligence-based framework for predicting emergency department overcrowding: Development and evaluation study. JMIR Med Inform. 2025 Sep 17;13:e73960. doi: 10.2196/73960. PMID: 40961493; PMCID: PMC12489414.
Principal Investigator
Ahmed, Abdulaziz
Ozaydin, Bunyamin
Project Name
Building and Implementing a Predictive Decision Support System Based on a Proactive Full Capacity Protocol to Mitigate Emergency Department Overcrowding Problems