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MD24 Application of Health Information Exchange (HIE) in Clinical Practice

MD24 Application of Health Information Exchange (HIE) in Clinical Practice Maricopa Community College. Key topics. Why HIE? Terminology MD24 House Call HIE System Our roadmap on future development with AzHEC (Arizona State HIE) The Stack behind HIE Q&A. Why HIE?.

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MD24 Application of Health Information Exchange (HIE) in Clinical Practice

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  1. MD24 Application of Health Information Exchange (HIE) in Clinical Practice Maricopa Community College

  2. Key topics • Why HIE? • Terminology • MD24 House Call HIE System • Our roadmap on future development with AzHEC (Arizona State HIE) • The Stack behind HIE • Q&A

  3. Why HIE? Our Mission Statement: • To bring the best medical care and value to patients through innovation and a highly qualified network of providers in the most cost-effective way • “PATIENT'S VALUES FIRST” HIE Benefits: • Improve healthcare delivery and information gathering • Real-time integration between different EHR, EMR for an instantaneous patient care and improve patient’s safety • Support providers/caregivers with tools to provide patient with the best quality care

  4. Terminology • HIE: Health Information Exchange • HL7: Used in United States as a standard messaging protocol to transfer electronic data between different healthcare systems • ADT Alert: Admit-Discharge-Transfer Alert in HL7 format • ORU: Observation Results in HL7 format for lab results, imaging study reports, EKG, patient’s conditions, etc. • TCM: Transitional Care Management • CCM: Chronic Care Management

  5. MD24 House Call HIE System

  6. MD24 HIE Roadmap • HIE integration internally between our Telemedicine, Smart Lab, and EHR for our patients • Apply to our partners and vendors • Plan to growth together with state HIE (Colorado expansion) • Machine Learning Risk-Level Algorithms based on ICD-10, SNOMED, and patient’s conditions

  7. ‹#› The Stack • HIE Project • PHP backend to get HL7 data from sftp site (AzHEC provides) • PHP parsing the HL7 data on Linux data warehouse • Call API from data warehouse to analyze in Intermediate database then display on BOX(Back-office system for automatic care plan (or other system) • Optional (use Mirth Tools) to setup channel and pull data back • Machine Learning Risk Eval • Host on H2O - http://www.h2o.ai/h2o/ Machine learning will use R/Python • More Data means better outcome

  8. MD24 House Call Current

  9. HIT Or HIM EHR Big Data Mining In-house data Patient CRM ADT Tasks Managed by Gantt Chart Automation Workflow ADT Alert Mining Start a Workflow External resource Referral from partners Tasks Self-Managed By Calendar Tasks Tracking by Timer EHR PVD Care Workgroup Partner resource Sales / Internal Referral Care Coordination Management System (BOX) ‹#›

  10. QUESTIONS? Please reach out to us directly if you have any question Julie Bui (jbui@md24housecall.com) Chi Nguyen (cnguyen@md24housecall.com) Bobby Nguyen (bobbynguyen@md24housecall.com)

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