Artificial Intelligence
A factored generalized additive model for clinical decision support in the operating room.
Citation:
Cui Z, Fritz BA, King CR, Avidan MS, Chen Y. A factored generalized additive model for clinical decision support in the operating room. AMIA Annu Symp Proc. 2020 Mar 4;2019:343-52. PMID 32308827.
Principal Investigator:
Anesthesiology Control Tower: Feedback Alerts to Supplement Treatment (ACTFAST) - Final Report
Citation:
Avidan M. Anesthesiology Control Tower: Feedback Alerts to Supplement Treatment (ACTFAST) - Final Report. (Prepared by the University of Utah under Grant No. R21 HS024581). Rockville, MD: Agency for Healthcare Research and Quality, 2020.
Principal Investigator:
Identification of Patients with Low Life Expectancy - Final Report
Citation:
Turchin A. Identification of Patients with Low Life Expectancy - Final Report. (Prepared by Cincinnati Children's Hospital Medical Center under Grant No. R21 HS024977). Rockville, MD: Agency for Healthcare Research and Quality, 2019.
Principal Investigator:
Project Name:
Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery.
Citation:
Liu L, Ni Y, Zhang N, Nick Pratap J. Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery. Int J Med Inform. 2019 Sep;129:234-241. doi:
10.1016/j.ijmedinf.2019.06.007. Epub 2019 Jun 8. PMID: 31445261.
Principal Investigator:
Project Name:
vizHOME: A Context-Based Health Information Needs Assessment Strategy - Final Report
Citation:
Ponto K. vizHOME: A Context-Based Health Information Needs Assessment Strategy - Final Report. (Prepared by the University of Wisconsin - Madison under Grant No. R01 HS022548). Rockville, MD: Agency for Healthcare Research and Quality, 2019.
Principal Investigator:
Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation - Final Report
Citation:
Pratap J. Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation - Final Report. (Prepared by Cincinnati Children's Hospital Medical Center under Grant No. R21 HS024983). Rockville, MD: Agency for Healthcare Research and Quality, 2019.
Principal Investigator:
Project Name:
Real-time Assessment of Dialogue in Motivational Interviewing Training (ReadMI)
Description:
This research will enhance and test a tool which uses natural language processing to provide a real-time assessment of dialog during motivational interviewing training.
Principal Investigator:
Project Dates:
August 1, 2019 to July 31, 2021
Semi-Automated Identification of Biomedical Literature
Description:
This research will develop and evaluate a semi-automatic approach to conducting literature searches for systematic reviews.
Principal Investigator:
Project Dates:
September 30, 2019 to September 29, 2020
A clinician survey of using speech recognition for clinical documentation in the electronic health record.
Citation:
Goss FR, Blackley SV, Ortega CA, Kowalski LT, Landman AB, Lin CT, Meteer M, Bakes S, Gradwohl SC, Bates DW, Zhou L. A clinician survey of using speech recognition for clinical documentation in the electronic health record. Int J Med Inform. 2019 Jul 31;130:103938. doi: 10.1016/j.ijmedinf.2019.07.017. [Epub aheadof print]. PMID: 31442847.
Principal Investigator:
NLP to Improve Accuracy and Quality of Dictated Medical Documents - Final Report
Citation:
Zhou L. NLP to Improve Accuracy and Quality of Dictated Medical Documents - Final Report. (Prepared by Brigham and Women's Hospital under Grant No. R01 HS024264). Rockville, MD: Agency for Healthcare Research and Quality, 2019.
Principal Investigator: