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https://www.healthit.gov/topic/safety/clinical-decision-support
Clinical decision support (CDS) can significantly impact improvements in quality, safety, efficiency, and effectiveness of health care. The Office of the National Coordinator for Health IT (ONC) supports efforts to develop, adopt, implement, and evaluate the use of CDS to improve health care decision making.
https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/Appropriate-Use-Criteria-Program/CDSM
Background. A Clinical Decision Support Mechanism (CDSM) is an interactive, electronic tool for use by clinicians that communicates appropriate use criteria (AUC) information to the user and assists them in making the most appropriate treatment decision for a patient’s specific clinical condition.
https://www.ahrq.gov/cpi/about/otherwebsites/clinical-decision-support/index.html
Jun 01, 2019 · Clinical decision support provides timely information, usually at the point of care, to help inform decisions about a patient's care. Clinical decision support can effectively improve patient outcomes and lead to higher-quality health care.
https://www.healthcarefirst.com/blog/clinical-decision-support-tools/
Clinical decision support tools are found in EHR software that when applied effectively, can enhance patient care quality and outcomes, improve efficiency, and help to ensure regulatory compliance. Through clinical decision support tools, patient specific data and evidence-based guidance are presented to clinicians at appropriate times throughout the care planning process, guiding and ...
https://www.acr.org/Clinical-Resources/Clinical-Decision-Support
The Protecting Access to Medicare Act (PAMA) now requires referring providers to consult appropriate use criteria (AUC) via a CMS-qualified clinical decision support mechanism (qCDSM) prior to ordering CT, MR, Nuclear Medicine and PET exams for Medicare patients. 2020 is a one-year “Educational ...
https://www.cms.gov/regulations-and-guidance/legislation/EHRincentiveprograms/downloads/clinicaldecisionsupport_tipsheet-.pdf
CLINICAL DECISION SUPPORT: More Than Just ‘Alerts’ Tipsheet . INTERMEDIATE. Background . Clinical decision support, or CDS, is a key functionality of health information technology. When CDS is applied effectively, it increases quality of care, enhances health outcomes, helps to avoid errors and adverse events, improves eficiency,
https://digital.ahrq.gov/ahrq-funded-projects/development-clinical-decision-support-tool-facilitating-naturalistic-decision
Apr 01, 2017 · Existing clinical decision support (CDS) tools for optimizing blood culture utilization rely on analytic approaches to determine the pretest probability of bloodstream infections and fail to address the naturalistic and intuitive nature of clinical decisionmaking, resulting in low adoption by providers.
https://www.hopkinsmedicine.org/armstrong_institute/centers/human_factors_engineering/projects/clinical_decision_support_tool.html
Development of a Clinical Decision Support Tool for Facilitating Naturalistic Decision-Making and Improving Blood Culture Utilization Sepsis is a life-threatening complication of blood stream infections that affects 8 percent of infants in pediatric intensive care units (PICUs) and is responsible for 25 percent of PICU mortality.
https://www.healthit.gov/sites/default/files/clinical-decision-support-0913.pdf
Integrating Clinical Decision Support Tools into Ambulatory Care Workflows for Improved Outcomes and Patient Safety Page 6 of 22 Available Clinical Decision Support Tools In its 2012 landmark Improving Outcomes with Clinical Decision Support: An Implementer’s Guide, a Healthcare Information and Management Systems Society (HIMSS)
https://healthit.ahrq.gov/sites/default/files/docs/publication/action-cp-cds-training.pdf
using a new clinical decision support (CDS) tool to facilitate care planning for patients who are at risk falls and fall related injuries. This work is part of an “ACTION” Project, a research study funded by the Agency for Health Care Research and Quality (AHRQ). Estimated time for course completion is 12 minutes.
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