Searching for Decision Support And Cdc information? Find all needed info by using official links provided below.
https://www.cdc.gov/dhdsp/pubs/guides/best-practices/clinical-decision-support.htm
Clinical decision support systems (CDSS) are computer-based programs that analyze data within EHRs to provide prompts and reminders to assist health care providers in implementing evidence-based clinical guidelines at the point of care.Applied to cardiovascular disease (CVD) prevention, this Domain 3 strategy can be used to facilitate care in various ways—for example, by reminding providers ...
https://www.cdc.gov/vaccines/programs/iis/cdsi.html
Jun 07, 2019 · Immunization clinical decision support (CDS), more commonly referred to as evaluation and forecasting, is an automated process that determines the recommended immunizations needed for a patient and delivers these recommendations to the healthcare …
https://wwwn.cdc.gov/CHIdatabase/items/cvd-prevention-and-control-clinical-decision-support-systems-cdss
Jan 22, 2020 · Clinical Decision Support Systems are computer-based information systems designed to assist healthcare providers in implementing clinical guidelines at the point of care. CDSS use patient data to provide tailored patient assessments and evidence-based treatment recommendations for healthcare providers to consider.
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://wwwnc.cdc.gov/eid/article/23/1/15-1787_article
Health officials lack field-implementable tools for forecasting the effects that a large-scale release of Bacillus anthracis spores would have on public health and hospitals. We created a modeling tool (combining inhalational anthrax caseload projections based on initial case reports, effects of variable postexposure prophylaxis campaigns, and healthcare facility surge capacity requirements ...
https://cds.ahrq.gov/cdsconnect/artifact/refugee-health-decision-support
Development of the Refugee Health Decision Support Module was funded by Centers for Excellence in Refugee Health grant 5 NU50CK000459-02 (MN) from the U.S. Centers for Disease Control and Prevention. ... While this artifact to build an Epic SmartSet is the work of partners funded by the US Centers for Disease Control and Prevention (CDC), this ...
https://wwwnc.cdc.gov/eid/article/10/1/03-0243_article
We evaluated the usefulness of detection systems and diagnostic decision support systems for bioterrorism response. We performed a systematic review by searching relevant databases (e.g., MEDLINE) and Web sites for reports of detection systems and diagnostic decision support systems that could be used during bioterrorism responses. We reviewed over 24,000 citations and identified 55 …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5072461/
Oct 19, 2016 · This article focuses on the requirements and current developments in clinical decision support technologies for immunizations (CDSi) in both the public health and clinical communities, with an emphasis on shareable solutions. The requirements of the Electronic ...Cited by: 1
https://healthitanalytics.com/features/understanding-the-basics-of-clinical-decision-support-systems
Dec 12, 2017 · December 12, 2017 - Clinical decision support systems are quickly becoming essential tools for healthcare providers as the volume of available data increases alongside their responsibility to deliver value-based care.. Reducing clinical variation and duplicative testing, ensuring patient safety, and avoiding complications that may result in expensive hospital readmissions are top priorities ...
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3733759/
Discussion. The CDC Informatics R&D Team gained many insights from this mobile app initiative. Although the clinical decision support algorithms were very well-defined and designed, in the process of implementing them in a structured mobile application, areas of improvement were quickly brought to light, and the algorithms were subsequently modified.Cited by: 5
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