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Real-Time Clinical Analytics

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Publicado el

Hadoop Summit 2015

Publicado en: Tecnología
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Real-Time Clinical Analytics

  1. 1. Real-Time Clinical Analytics Paul Boal & Adam Doyle
  2. 2. Paul Boal Director – Data Management Adam Doyle Lead Developer
  3. 3. Mercy is the 5th largest Catholic health system in the U.S. serving in 140 communities over a multi-state footprint through several touch points including outreach ministries and virtual care. 35 Acute Care Hospitals 700 Clinic and Outpatient Facilities 2,100 Mercy Clinic Physicians 4,231 Acute Licensed Beds 40,000 Co-workers 22,486 Births 158,768 Acute Inpatient Discharges 150,595 Surgeries (In/Outpatient) 650,702 Emergency Visits 8,361,683 Outpatient Visits $4.48 billion Operating Revenue
  4. 4. We do Hadoop
  5. 5. Why?
  6. 6. What’s wrong with you? Well…processing…processing…
  7. 7. Architecture
  8. 8. Electronic Medical Record Traditional Reporting Database Real-Time Data Stream Nightly Batch Copy bit of magic more magic no special magic here…
  9. 9. RDBMS Sync Utility CLARITY,oracle,etluser, MDW,oracle,dwuser,abchd EPSI,sqlserver,finuser, EPSI MDW CLARITY patient,pat_id,2015-01- pat_enc,pat_enc_csn,201 order_med,order_med_id,
  11. 11. Merging Batch and Real-Time CREATE EXTERNAL TABLE ... STORED BY ‘Hbase’ ... CREATE TABLE ... ORCFILE ... CREATE VIEW COALESCE(rt, batch) FROM rt FULL OUTER JOIN batch ON...
  12. 12. What it Does for Us
  13. 13. Looks like the same reporting database… smells a lot better! • Use existing skills (SQL) • Reuse data model expertise • Large batch jobs run faster • Large analytics run faster • Near real-time updates
  14. 14. Use Cases & Future
  15. 15. Free text search on lab results Inventory data archival Medical documentation improvement EMR audit trail archival and reporting o Text extraction and analytics o Device data o Real-time alerting o New Integrated Patient Database
  16. 16. Questions?