PPT-“The Death Worm”: A SMART-on-FHIR, Clinical Decision Support Tool for Mortality Reporting

Author : mitsue-stanley | Published Date : 2018-11-06

Paula Braun EntrepreneurinResidence CDCs National Center for Health Statistics ITdotHealth SMART Decisions Panel on Getting Data and Services to the Point of Care

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“The Death Worm”: A SMART-on-FHIR, Clinical Decision Support Tool for Mortality Reporting: Transcript


Paula Braun EntrepreneurinResidence CDCs National Center for Health Statistics ITdotHealth SMART Decisions Panel on Getting Data and Services to the Point of Care at Harvard Medical School. Joseph Lurio, M.D., F.A.A.F.P.. Chief Medical Information Officer. Institute for . Family . Health. Objectives Of Talk. Understand rationale behind decision support in era of electronic medical . records and “Meaningful. on . FHIR. Apps for Health. Josh Mandel (Boston Children’s Hospital). Ricky Bloomfield (Duke Medicine). Kevin . Shekleton. (Cerner). John . Voith. (. athenahealth. ). April 14, 2015. DISCLAIMER: The views and opinions expressed in this presentation are those of the author and do not necessarily represent official policy or position of HIMSS.. Connect-A-Thon 11 Implementation Experience. S&I Framework Clinical Quality Initiatives. Health . eDecisions. Focused on Sharing and Evaluating decision support artifacts. Resulted in. Knowledge Artifact Specification. Associate Professor Heidi Muenchberger. Michelle Crozier. Centre for Community Science. Griffith Health Institute, Griffith University. Introduction . Industry Partnership. Research Aims. A word about words. Travis Dawson. Michael Facemire. Charles Broadwater. Genesis. 2. The Need. Much of what IV&V does involves tracing (or evaluating developer traces) of one artifact element to another, e.g.. Higher-level requirements (parents) to lower-level, dependent requirements (children). Robert Worden. rpworden@me.com. Outline. FHIR and CDA. Building FHIR Servers and Clients. Mapping Application Databases to FHIR. FHIR Server . Demo. FHIR Client for Multiple Servers. FHIR and Data . Matching. This slide set, provided by Elizabeth J . Conrey. , PhD, RD, is an example of how the content from the Infant Mortality Toolkit can be translated for training public health . practitioners. The slides are a subset from the course titled: The Epidemiology of Maternal and Infant Health for State and Local Practitioners, given at the Ohio State University Summer Program in Population . Andrew Cooper. Julen . Garcia-Ibanez. Ciaran Gilbert. Stuart . Mack. Xabier . Miquelez. de . Mendiluce. 29/04/2014. A Methodology for a Decision Support Tool for a Tidal Stream Device. 1. A Methodology for a Decision Support Tool for a Tidal Stream Device. 1 Insert Date and Event Here Useful to Usable (U2U): Corn Split Nitrogen Application Decision Support Tool Linda S. Prokopy Associate Professor, FNR Hans Schmitz Gibson County Extension Melissa Widhalm Out of Hospital Cardiac Arrest. Exclusions. Non elective death on ITU/CICU. Out of Hospital Cardiac Arrest. Exclusions. Non elective death on ITU/CICU. Out of Hospital Cardiac Arrest. Exclusions. Non elective death on ITU/CICU. BCCDC Non - Pediculosis Pubis (Pubic Lice) BCCDC Clinical Prevention Services R eproductive Health Decision Support Tool – Non - certified Practice 1 Pediculosis Pubis (Public Lice) 2020 Clinical Lessons Learned & Future Directions. Human Genome Sequencing Center. Baylor College of Medicine . eMERGE Centralized Sequencing & Genotyping (CSG) Facility . Mullai Murugan, M.S.. Director of Software Engineering. Guidelines. 1. Improving quality and bending the cost curve by better integrating radiologists and their knowledge into healthcare delivery.. Bibb Allen, Jr., MD, FACR. Vice . Chair, ACR Board of . Chancellors. Pallav. . S. hekhar. Asstt. . Professor. Veterinary Medicine. . UNIT-6. Bunostomiasis or Hook Worm Disease. This disease is characterized by emaciation, progressive anemia, constipation followed by diarrhea and death in young animals..

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