Different Vendors Of Clinical Decision Support Systems

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10 Innovative Clinical Decision Support Programs ...

    https://www.informationweek.com/healthcare/clinical-information-systems/10-innovative-clinical-decision-support-programs/d/d-id/1101834
    Dec 14, 2011 · KLAS Enterprises has identified five elements of clinical decision support: order sets, multi-parameter alerting, nursing care plans, reference content, and drug information databases. Different vendors take different approaches to their CDS products, but they have one thing in common: a deep clinical knowledge base that helps promote patient safety.

New study identifies top 11 clinical decision support vendors

    https://www.healthcareitnews.com/news/new-study-identifies-top-11-clinical-decision-support-vendors
    The top 11 clinical decision support tech vendors in use today are: Cerner (25 percent), EPSi/Allscripts (14 percent), Epic (11 percent), Stanson Health (6 percent), Nuance (5 percent), Premier (5 percent), Truven/IBM (4 percent), Elsevier (4 percent), Zynx Health (3 percent),...

Clinical Decision Support HealthIT.gov

    https://www.healthit.gov/topic/safety/clinical-decision-support
    What is Clinical Decision Support (CDS)? Clinical decision support (CDS) provides clinicians, staff, patients or other individuals with knowledge and person-specific information, intelligently filtered or presented at appropriate times, to enhance health and health care. CDS encompasses a variety of tools to enhance decision-making in the clinical workflow.

Comparison of Computer-based Clinical Decision Support ...

    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3631936/
    Aug 03, 2011 · Clinical decision support (CDS) systems are manual or computer-based information systems that assist in clinical decision-making. Broadly, clinical decision support “provides clinicians, staff, patients, or other individuals with knowledge and person-specific information, intelligently filtered or presented at appropriate times, to enhance health and health care” [ 3 ].Cited by: 7

Clinical Decision Support Systems: State of the Art

    https://digital.ahrq.gov/sites/default/files/docs/page/09-0069-EF_1.pdf
    Types of Clinical Decision Support Early CDS systems were derived from expert systems research, with the developers striving to program the computer with rules that would allow it to “think” like an expert clinician …

What is a Clinical Decision Support System (CDSS ...

    https://www.techopedia.com/definition/13780/clinical-decision-support-system-cdss
    Vendors offer these products in different ways, as many comprehensive EMR/EHR systems incorporate elements of clinical decision support. In some ways, clinical decision support systems may be seen as contributing to better patient outcomes, for example, in identifying improper diagnoses or other issues in a clinical workflow.

Clinical Decision Support: What It Is and Its Uses ...

    https://www.practicefusion.com/blog/ehrs-and-clinical-decision-support/
    Feb 11, 2011 · Clinical Decision Support is a broad conceptual category that includes many different ways in which best-practice recommendations can be implemented at the point of care. It is helpful to distinguish between in-line CDS and review-oriented CDS , as the kinds of support appropriate in each setting is different.

Understanding the Basics of Clinical Decision Support Systems

    https://healthitanalytics.com/features/understanding-the-basics-of-clinical-decision-support-systems
    Dec 12, 2017 · Ultimately, CMS says, clinical decision support can include any health IT system, workflow, or process intended to deliver: the right information (evidence-based guidance, response to clinical need) to the right people (entire care team – including …

Health Information: Information Systems Flashcards Quizlet

    https://quizlet.com/23310474/health-information-information-systems-flash-cards/
    This information can be used by decision support systems to assist physicians in the diagnosis and treatment of patients. comparative This information consists of data sets that have the same attributes but are from different sources and are evaluated or compared against each other.



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