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Clinical Decision Support System
Clinical Decision Support System
Avoiding "toxic knowledge": the importance of framing personalized risk information in clinical decision-making.
Citation:
Kostick KM, Blumenthal-Barby JS. Avoiding "toxic knowledge": the importance of framing personalized risk information in clinical decision-making. Per Med. 2021 Mar;18(2):91-95. doi: 10.2217/pme-2020-0174. Epub 2021 Feb 22. PMID: 33616460.
Principal Investigator:
Information needs and requirements for decision support in primary care: an analysis of chronic pain care.
Citation:
Harle CA, Apathy NC, Cook RL, Danielson EC, DiIulio J, Downs SM, Hurley RW, Mamlin BW, Militello LG, Anders S. Information needs and requirements for decision support in primary care: an analysis of chronic pain care. AMIA Annu Symp Proc. 2018 Dec 5;2018:527-534. PMID: 30815093.
Principal Investigator:
Decision-centered design of patient information visualizations to support chronic pain care.
Citation:
Harle CA, DiIulio J, Downs SM, Danielson EC, Anders S, Cook RL, Hurley RW, Mamlin BW, Militello LG. Decision-centered design of patient information visualizations to support chronic pain care. Appl Clin Inform. 2019 Aug;10(4):719-728. doi: 10.1055/s-0039-1696668. Epub 2019 Sep 25. PMID: 31556075.
Principal Investigator:
Models of collaboration and dissemination for nursing informatics innovations in the 21st century.
Citation:
Wang J, Gephart SM, Mallow J, Bakken S. Models of collaboration and dissemination for nursing informatics innovations in the 21st century. Nurs Outlook. 2019 Jul-Aug;67(4):419-432. doi: 10.1016/j.outlook.2019.02.003. Epub 2019 Feb 11. PMID: 30876686.
Principal Investigator:
Project Name:
Risk of bleeding with exposure to warfarin and nonsteroidal anti-inflammatory drugs: a systematic review and meta-analysis.
Citation:
Villa Zapata L, Hansten PD, Panic J, Horn JR, Boyce RD, Gephart S, Subbian V, Romero A, Malone DC. Risk of bleeding with exposure to warfarin and nonsteroidal anti-inflammatory drugs: a systematic review and meta-analysis. Thromb Haemost. 2020 Jul;120(7):1066-1074. doi: 10.1055/s-0040-1710592. Epub 2020 May 26. PMID: 32455439.
Principal Investigator:
Cognitive Engineering for Complex Decisionmaking & Problem Solving in Acute Care - Final Report
Citation:
Hettinger A. Cognitive Engineering for Complex Decisionmaking & Problem Solving in Acute Care - Final Report. (Prepared by MedStar Health Research Institute under Grant No. R01 HS022542). Rockville, MD: Agency for Healthcare Research and Quality, 2020.
Principal Investigator:
Evaluating and Enhancing Health Information Technology for COVID-19 Response Workflow in a Specialized COVID-19 Hospital in a Medically Underserved Community
Description:
This research will study how a safety-net hospital responds to a pandemic, specifically COVID-19, to identify how information needs are met and how decisions are made and communicated to other individuals internal and external to the institution.
Project Dates:
January 1, 2021 to December 31, 2022
Implementing USPSTF Recommendations for Breast Cancer Screening and Prevention by Integrating Clinical Decision Support Tools with the Electronic Health Record
Description:
This study will integrate a previously piloted risk tool and clinical decision aid, MammoScreen, with an EHR to provide personalized decision support for both patients and clinicians to improve quality of care for women who are at increased risk for breast cancer.
Principal Investigator:
Project Dates:
September 30, 2020 to August 31, 2025
Transforming Kidney Care in the Emergency Department Using Artificial Intelligence-Driven Clinical Decision Support
Description:
This research will develop and evaluate an artificial intelligence-driven clinical decision support system to detect and manage acute kidney injury in the emergency department.
Project Dates:
September 30, 2020 to July 31, 2021
A Multi-Site Trial to Test Benefits of Adding a Personalized Risk Calculator to an Online Decision Aid for Left Ventricular Assist Device
Description:
This research will implement a personalized and electronically integrated shared clinical decision support system for left ventricular assist devices in patients with advanced heart failure.
Principal Investigator:
Project Dates:
September 30, 2020 to July 31, 2025
