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BEACH Update Population and Public Health Public Health Tiger Team Dr. James Killeen UC San Diego Dept. of Emergency Medicine Beacon Education, Analytic.

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Presentation on theme: "BEACH Update Population and Public Health Public Health Tiger Team Dr. James Killeen UC San Diego Dept. of Emergency Medicine Beacon Education, Analytic."— Presentation transcript:

1 BEACH Update Population and Public Health Public Health Tiger Team Dr. James Killeen UC San Diego Dept. of Emergency Medicine Beacon Education, Analytic and Coordination Hub

2 SD Beacon Objectives Build Regional HIE Infrastructure Integrate Health IT into Care Delivery –Improve care coordination among providers –Engage patients and families Quality: Cardiovascular disease –Acute care: EKG transmission from EMS to Hospitals for acute Myocardial Infarctions Reduce Time to Catheterization and False Positive Rates –Chronic care: Reduce 30 day re-admissions Public Health Enhancements & Meaningful Use –Immunizations –Syndrome Surveillance –Electronic Lab Reporting Cost Efficiency –Reduce repeat ED visits, hospital admissions & Redundant Tests 2

3 Beacon Innovations Regional and inter-state EMS Hub Services Situation Awareness Population health data and analytics Public health data, visualization and analytics Meaningful Use public health reporting certification and compliance support Embedded Medical Devices Tele-medicine and Tele Lab Environmental Data

4 CDC Community A VA/DOD State/Local Government Community B ClinicsEMS County PH SD VA/DOD SSA

5 Evolving from the BEACON to the BEACH B eacon Leveraging information and best practices across all Beacon Communities while also E ducation Including and informing communities that were not participants in the grant program by A nalytic Using analytical tools to create situational awareness C oordination Creating a forum in an aligned manner for the exchange of data and information using H ub The UCSD Emergency Medicine Department as the common center of activity

6 Public Health Data Starts Locally Raw Data is reported to PH – PHI, De-identified and Aggregate PH Applications and Informatics Analyze Information is Generated and Shared Info Data Raw Data Public Health

7 Population Health utilizes PH Analysis PH Shared Info is Source data – De-Identified and Aggregated New data sources – EMS, Behavioral Health Includes Healthcare, Research and Businesses Generated new Information that is Shared Info Data Raw Data Public Health Population Health Info Data New Data

8 Community Health Pop Shared Info is Source data –Aggregated New data can be added Includes Entire Community, State and Federal Generated new Information that is Shared Info Data Raw Data Public Health Population Health Community Health Info Data Info Data New Data

9 Current Focus Population and Public Health Maximizing data to public health Support existing applications and systems Enable rich analytics, visualization and reporting Consistent interfaces for interoperability Info Data Raw Data Public Health Population Health Info Data New Data

10 Population and Public Health Hub Population and Public Health Hub HIE Interface (optional) HIE Interface (optional) Hospital Provider Network Provider Network FQHC, DOD & VA FQHC, DOD & VA Individual Practice Clinical Laboratory Clinical Laboratory Cancer Case Electronic Lab Reporting Electronic Lab Reporting Childhood Lead Childhood Lead SDIR Imperial CAIR RIDE Other States SD webvCMR CDPH CalREDIE CDC BioSense HMS EpiCenter Collaborate.org JH ESSENCE Others Immunization Syndrome Surveillance Syndrome Surveillance Regional Reg RASSCLE ACKs, Feedback & Data Provenance Health System Public Health

11 Health Partner IZ PHCR ELR POU Dx SS Support Existing Systems Immunization Registry PH Cases Surveillance PH Case Management and Investigation EMR/EHR LIS

12 Health Indicators Demographics Health Partners IZ PHCR ELR POU Dx SS Hub Simplifies the Process Immunization Registry PH Cases Surveillance EMR/EHR LIS

13 Now  Applying the Data 1.Upcoming back-to-school and fall vaccination campaigns 2.Asthma 3.Diabetes 1.Upcoming back-to-school and fall vaccination campaigns 2.Asthma 3.Diabetes Immunizations Seasons POU Dx Economic Case Reporting Pharmacies Care Facilities Transportation Syndromes Schools Populations BMI Lab Results Elderly Care Regions Air Quality

14 Thousands die every year Vaccination campaigns are a tool –Both influenza and pneumonia Challenges –How effective are we? –Can we be more effective? If we can collect and analyze data faster… –Campaigns can be targeted and adjusted –Surveillance can be a by-product of routine care Seasonal Influenza

15 Surveillance – Influenza-Like Illness Encounter Assessment School Nurse Screening Test Urgent Care Rapid Diagnostic Emergency Department Diagnostic & Typing Public Health Laboratory Typing & Subtyping VaccinationsEncountersTest Results Real-Time Situation Awareness Goal Compress time to knowledge to mitigate overall impact and cost

16 Population and Public Health Hub Population and Public Health Hub Population and Public Health Hub Syndrome Surv ELR Rapid Diagnostics Case Reporting Exposure Monitoring Public Health (Protected Health Information) Public Health (Protected Health Information) Community (Aggregate) Community (Aggregate) Regional & Healthcare (De- & Un- Identified) Regional & Healthcare (De- & Un- Identified) ACKs, Feedback & Data Provenance Immunizations Environmental Data Cloud & Desktop Toolkits Policy / Governance Business Rules

17 Platform Deployment Priorities –Support existing application- specific data flows –Establish new flows to support analytics and other needs –Provide information back to stakeholders in a timely manner Rules –Interoperability by design –Reduce dependence on HL7 –Open standards –Open interfaces Agile in the Extreme 2-6 cycles Discovery –2-6 hours concept –2-6 days proto Dynamic –2-6 days concept –2-6 weeks proto Map to existing design patterns and enhance services

18 Service Bus High Level Architecture Security Provenance Governance New Applications Analysis, Visualization, Reporting Data In Router Data Out Router Pre Process Engine Data Access Layers Post Process Engine Legacy Apps Coding, Look up Ext Data Staging Data App Data Marts Data Whse

19 Syndrome Surveillance Example Validation Router BioSense PP Collaborate PP Sequence Filter Enrich AppData Data Whse

20 Case Reporting – Pertussis Patient Router Watchdog: LabOrder Enrich: Care Detail Enrich: Pat Detail Enrich: IZ Lookup Notify: PH Case Exposure Monitor HEAT Data EHR ICD-9 33.X Trigger EHR or SDC Validation IZ Data Create: Pot Case

21 QUESTIONS? Dr. James Killeen jkilleen@ucsd.edu

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