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Comparison of an artificial intelligence-enabled patient decision aid vs educational material on decision quality, shared decision-making, patient experience, and functional outcomes in adults with knee osteoarthritis: A randomized clinical trial.

Citation
Jayakumar P, Moore MG, Furlough KA, Uhler LM, Andrawis JP, Koenig KM, Aksan N, Rathouz PJ, Bozic KJ. Comparison of an artificial intelligence-enabled patient decision aid vs educational material on decision quality, shared decision-making, patient experience, and functional outcomes in adults with knee osteoarthritis: A randomized clinical trial. JAMA Netw Open. 2021 Feb 1;4(2):e2037107. doi: 10.1001/jamanetworkopen.2020.37107. PMID: 33599773; PMCID: PMC7893500.
Principal Investigator
Bozic, Kevin John
Tsevat, Joel
Project Name
Incorporating Patient-Reported Outcomes into Shared Decision Making with Patients with Osteoarthritis of the Knee

CancelRx: a health IT tool to reduce medication discrepancies in the outpatient setting.

Citation
Watterson TL, Stone JA, Brown R, Xiong KZ, Schiefelbein A, Ramly E, Kleinschmidt P, Semanik M, Craddock L, Pitts S, Woodroof T, Chui MA. CancelRx: a health IT tool to reduce medication discrepancies in the outpatient setting. J Am Med Inform Assoc. 2021 Jul 14;28(7):1526-1533. doi: 10.1093/jamia/ocab038. PMID: 33835183.
Principal Investigator
Chui, Michelle Anne
Project Name
CancelRx: A Health IT Tool to Decrease Medication Discrepancies in the Outpatient Setting

Early identification of epilepsy surgery candidates: A multicenter, machine learning study.

Citation
Wissel BD, Greiner HM, Glauser TA, Pestian JP, Kemme AJ, Santel D, Ficker DM, Mangano FT, Szczesniak RD, Dexheimer JW. Early identification of epilepsy surgery candidates: A multicenter, machine learning study. Acta Neurol Scand. 2021 Jul;144(1):41-50. doi: 10.1111/ane.13418. Epub 2021 Mar 26. PMID: 33769560; PMCID: PMC8178229.
Principal Investigator
Dexheimer, Judith W.
Project Name
Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients

Evaluation of electronic health record-integrated digital health tools to engage hospitalized patients in discharge preparation.

Citation
Anuj K Dalal, Nicholas Piniella, Theresa E Fuller, Denise Pong, Michael Pardo, Nathaniel Bessa, Catherine Yoon, Stuart Lipsitz, Jeffrey L Schnipper. Evaluation of electronic health record-integrated digital health tools to engage hospitalized patients in discharge preparation. Journal of the American Medical Informatics Association, Volume 28, Issue 4, April 2021, Pages 704–712, https://doi.org/10.1093/jamia/ocaa321
Principal Investigator
Dalal, Anuj K.
Project Name
Interactive Patient-Centered Discharge Toolkit To Promote Self-Management During Transitions

Use of machine learning to develop and evaluate models using preoperative and intraoperative data to identify risks of postoperative complications.

Citation
Xue B, Li D, Lu C, King CR, Wildes T, Avidan MS, Kannampallil T, Abraham J. Use of machine learning to develop and evaluate models using preoperative and intraoperative data to identify risks of postoperative complications. JAMA Netw Open. 2021 Mar 1;4(3):e212240. doi: 10.1001/jamanetworkopen.2021.2240. PMID: 33783520; PMCID: PMC8010590.
Principal Investigator
Avidan, Michael
Project Name
Anesthesiology Control Tower: Feedback Alerts to Supplement Treatment (ACTFAST)

Unsupervised clinical relevancy ranking of structured medical records to retrieve condition-specific information in the emergency department.

Citation
Korach ZT, Gradwohl S, Messinger A, Bookman K, Cohen K, Zhou L, Goss F. Unsupervised clinical relevancy ranking of structured medical records to retrieve condition-specific information in the emergency department. Int J Med Inform. 2021 May;149:104410. doi: 10.1016/j.ijmedinf.2021.104410. Epub 2021 Feb 5. PMID: 33621793.
Principal Investigator
Goss, Foster R.
Project Name
Natural Language Processing To Identify and Rank Clinically Relevant Information for EHRs in the Emergency Department

Inaccuracies in electronic health records smoking data and a potential approach to address resulting underestimation in determining lung cancer screening eligibility.

Citation
Kukhareva PV, Caverly TJ, Li H, Katki HA, Cheung LC, Reese TJ, Del Fiol G, Hess R, Wetter DW, Zhang Y, Taft TY, Flynn MC, Kawamoto K. Inaccuracies in electronic health records smoking data and a potential approach to address resulting underestimation in determining lung cancer screening eligibility. J Am Med Inform Assoc. 2022 Feb 15:ocac020. doi: 10.1093/jamia/ocac020. Epub ahead of print. PMID: 35167675.
Principal Investigator
Kawamoto, Kensaku
Project Name
Scalable Decision Support and Shared Decisionmaking for Lung Cancer Screening

A low literacy, multimedia health information technology intervention to enhance patient-centered cancer care in safety net settings increased cancer knowledge in a randomized controlled trial.

Citation
Peipert JD, Lad T, Khosla PG, Garcia SF, Hahn EA. A low literacy, multimedia health information technology intervention to enhance patient-centered cancer care in Safety Net settings increased cancer knowledge in a randomized controlled trial. Cancer Control. 2021 Jan-Dec;28:10732748211036783. doi: 10.1177/10732748211036783. PMID: 34565193; PMCID: PMC8481731.
Principal Investigator
Hahn, Elizabeth
Project Name
Implementing a Low-Literacy, Multimedia Information Technology System to Enhance Patient-Centered Cancer Care

Vancomycin hypersensitivity reactions documented in electronic health records.

Citation
Alvarez-Arango S, Yerneni S, Tang O, Zhou L, Mancini CM, Blackley SV, Keet CA, Blumenthal KG. Vancomycin hypersensitivity reactions documented in electronic health records. J Allergy Clin Immunol Pract. 2021 Feb;9(2):906-912. doi: 10.1016/j.jaip.2020.09.027. Epub 2020 Oct 1. PMID: 33011300; PMCID: PMC7870516.
Principal Investigator
Zhou, Li
Project Name
Improving Allergy Documentation and Clinical Decision Support in the Electronic Health Record