Ehr Decision Support Tools

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Clinical Decision Support HealthIT.gov

    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.

Understanding the Basics of Clinical Decision Support Systems

    https://healthitanalytics.com/features/understanding-the-basics-of-clinical-decision-support-systems
    Dec 12, 2017 · Understanding the Basics of Clinical Decision Support Systems ... CDS tools are often integrated into the electronic health record (EHR) to streamline workflows and take advantage of existing data sets, although many organizations are still facing significant challenges when it comes to creating intuitive, user-friendly, and effective protocols ...

Clinical Decision Support: Using the CDS Tools in EHR ...

    https://medcitynews.com/2013/11/clinical-decision-support-using-cds-tools-ehr-technology/
    Nov 04, 2013 · EHR technology uses CDS tools to accomplish complex tasks that involve removing medical errors and increasing accuracy of the decision’s need to …

Clinical Decision Support: More Than Just ‘Alerts ...

    https://www.cms.gov/regulations-and-guidance/legislation/EHRincentiveprograms/downloads/clinicaldecisionsupport_tipsheet-.pdf
    EHR. 02. 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,

Next-gen clinical decision support tools: Analytics and ...

    https://www.healthcareitnews.com/news/next-gen-clinical-decision-support-tools-analytics-and-health-data-ehr-workflow
    Jul 16, 2018 · These tools will transform the skill levels of human clinicians, diagnostic decision-making, prescription drug support, integrate clinical decision support into EHR workflows, clinical goals and priorities, and trust in the accuracy and reliability of the underlying data, Brown added.



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