Quantitative

Implementation of lung cancer screening in primary care and pulmonary clinics: Pragmatic clinical trial of electronic health record-integrated everyday shared decision making tool and clinician-facing prompts.

Citation
Kukhareva PV, Li H, Caverly TJ, Del Fiol G, Fagerlin A, Butler JM, Hess R, Zhang Y, Taft T, Flynn MC, Reddy C, Martin DK, Rodriguez-Loya S, Warner PB, Kawamoto K. Implementation of lung cancer screening in primary care and pulmonary clinics: Pragmatic clinical trial of electronic health record-integrated everyday shared decision making tool and clinician-facing prompts. Chest. 2023 May 2:S0012-3692(23)00641-4. doi: 10.1016/j.chest.2023.04.040. Epub ahead of print. PMID: 37142092.
Principal Investigator
Kawamoto, Kensaku
Project Name
Scalable Decision Support and Shared Decision Making for Lung Cancer Screening

Effectiveness of a digital health intervention leveraging reinforcement learning: Results from the Diabetes and Mental Health Adaptive Notification Tracking and Evaluation (DIAMANTE) randomized clinical trial.

Citation
Aguilera A, Arévalo Avalos M, Xu J, Chakraborty B, Figueroa C, Garcia F, Rosales K, Hernandez-Ramos R, Karr C, Williams J, Ochoa-Frongia L, Sarkar U, Yom-Tov E, Lyles C. Effectiveness of a Digital Health Intervention Leveraging Reinforcement Learning: Results From the Diabetes and Mental Health Adaptive Notification Tracking and Evaluation (DIAMANTE) Randomized Clinical Trial. J Med Internet Res. 2024 Oct 8;26:e60834. doi: 10.2196/60834. PMID: 39378080; PMCID: PMC11496924.
Principal Investigator
Aguilera, Adrian
Project Name
Improving Diabetes and Depression Self-Management Via Adaptive Mobile Messaging

Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients.

Citation
Sikora A, Jeong H, Yu M, Chen X, Murray B, Kamaleswaran R. Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients. Sci Rep. 2023 Sep 20;13(1):15562. doi: 10.1038/s41598-023-42657-2. PMID: 37730817; PMCID: PMC10511715.
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 incorporating medication data.

Citation
Sikora A, Zhao B, Kong Y, Murray B, Shen Y. Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data. medRxiv [Preprint]. 2023 Sep 18:2023.09.18.23295724. doi: 10.1101/2023.09.18.23295724. PMID: 37790491; PMCID: PMC10543219.
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 incorporating medication data.

Citation
Sikora A, Zhao B, Kong Y, Murray B, Shen Y. Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data. medRxiv [Preprint]. 2023 Sep 18:2023.09.18.23295724. doi: 10.1101/2023.09.18.23295724. PMID: 37790491; PMCID: PMC10543219.
Principal Investigator
Sikora, Andrea
Project Name
Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction

Comparison of diagnostic and triage accuracy of Ada Health and WebMD symptom checkers, ChatGPT, and physicians for patients in an emergency department: Clinical data analysis study.

Citation
Fraser H, Crossland D, Bacher I, Ranney M, Madsen T, Hilliard R. Comparison of diagnostic and triage accuracy of Ada Health and WebMD symptom checkers, ChatGPT, and physicians for patients in an emergency department: Clinical data analysis study. JMIR Mhealth Uhealth. 2023 Oct 3;11:e49995. doi: 10.2196/49995. PMID: 37788063; PMCID: PMC10582809.
Principal Investigator
Fraser, Hamish S.F.
Project Name
Evaluating Diagnostic Decision Support Systems for Patients Requiring Urgent Primary or Emergency Care or with Stroke

Long short-term memory model identifies ARDS and in-hospital mortality in both non-COVID-19 and COVID-19 cohort.

Citation
Chen JT, Mehrizi R, Aasman B, Gong MN, Mirhaji P. Long short-term memory model identifies ARDS and in-hospital mortality in both non-COVID-19 and COVID-19 cohort. BMJ Health Care Inform. 2023 Sep;30(1):e100782. doi: 10.1136/bmjhci-2023-100782. PMID: 37709302; PMCID: PMC10503386.
Principal Investigator
Gong, Michelle
Project Name
TREAT ECARDS: Translating Evidence into Action: Electronic Clinical Decision Support in Acute Respiratory Distress Syndrome

Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled trial.

Citation
Wissel BD, Greiner HM, Glauser TA, Mangano FT, Holland-Bouley KD, Zhang N, Szczesniak RD, Santel D, Pestian JP, Dexheimer JW. Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled trial. Epilepsia. 2023 Jul;64(7):1791-1799. doi: 10.1111/epi.17629. Epub 2023 May 27. PMID: 37102995; PMCID: PMC10524622.
Principal Investigator
Dexheimer, Judith W.
Project Name
Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients

Patient-reported outcome measures within a national multispecialty surgical quality improvement program.

Citation
Temple LKF, Pusic AL, Liu JB, Melucci AD, Collins CE, Kazaure HS, Brajcich BC, Fordham MJ, Lapsley JC, Ko CY. Patient-reported outcome measures within a national multispecialty surgical quality improvement program. JAMA Surg. 2024 Sep 1;159(9):1030-1039. doi: 10.1001/jamasurg.2024.1757. PMID: 38922601; PMCID: PMC11209186.
Principal Investigator
Ko, Clifford
Project Name
Scaling and Spreading Electronic Capture of Patient-Reported Outcomes Leveraging a National Surgical Quality Improvement Program