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Partnership Seven Guney, Program Manager NSLHD Health Informatics - PowerPoint PPT Presentation

MIYA PRECISION ACUTE CORONARY SYNDROME (ACS) & SURGICAL CARE RISK STRATIFICATION PLATFORM NSLHD, The Sydney Uni & Alcidion Partnership Seven Guney, Program Manager NSLHD Health Informatics & Analytics Program Source: Draft NSLHD


  1. MIYA PRECISION ACUTE CORONARY SYNDROME (ACS) & SURGICAL CARE RISK STRATIFICATION PLATFORM NSLHD, The Sydney Uni & Alcidion Partnership Seven Guney, Program Manager NSLHD Health Informatics & Analytics Program

  2. Source: Draft NSLHD Strategic Plan 2017-2022 https://www.nslhd.health.nsw.gov.au/AboutUs/StrategicPlan/Documen ts/Strategic%20Plan%20Draft%20.pdf

  3. Focus Right Infrastructure • Improve quality and safe care • Improve the patient experience of care • Improve health outcomes Access to • Improve clinical, business and CDS Real time organisational practice AI-NLP & ML eMR Data Operational Dashboard

  4. Project Scope Data in FHIR format CDS Operational Dashboards • Cardiology Risk Stratification • Surgical Care Risk Stratification • Hospital Acquired Complications • VTE • Arrhythmia • Medication Complications • Hospital Acquired Infections

  5. Targeted patient cohorts Patient level Patient Level • Demographic info • Allergies Demographics, Providers • Alert Allergies, Alerts • Chronic problems Chest Pain Chronic Conditions Keyword Search Cardiac pathway Histories – Family, Social, Past Medical Troponin ECG evidence Procedures Visit Level- Patient Journey Medical Imaging Encounter level SNOMED-CT, ICD10 Admission, Transfer, Discharge Pathology Orders & Results Radiology Orders & Results Waitlist Diagnosis , SNOMED CT & ICD10 Having a surgery Vital signs via BTF & iView Will have a surgery Medication Perioperative surgical care Clinical Doc (Clinical Notes, Scanned Doc) Discharge process

  6. Infrastructure – Miya/FHIR Cerner to FHIR Mapping Generated by AI & CDS in Miya Precision • Patient, Practitioner • DetectedIssues (Clinical risks via CDS) • Organisation, Location • Communications, Notifications (via CDS) • Appointments, Procedure • Concept identification within • Encounter, Episode of Care ClinicalImpressions (via NLP) • Observation, DiagnositicReport • CDS Observations (via CDS) • ClinicalImpression (Clinical notes) • Tasks, ServiceRequests (via CDS) • Flag, AllergyIntolerance • ‘Tags’ of patient cohorts (via CDS) • MedicationRequest, MedicationAdministration • Tasks, ServiceRequests (Referrals)

  7. Operational Dashboards (Example Configuration) Tags, Location Timers Detected Observations, Diagnostic Observations, Tasks from Cerner CDS Issue Cerner Reports Concepts Pathway CDS Cerner, ESB NLP CDS Patient Cerner/IPM Tasks Medication CDS Cerner

  8. AI support – NLP

  9. Next Step • Enhance the integration layer to use ‘Miya Real time’ for real time events • Include other patient cohorts • Provide enhanced notifications to Medical Officers via mobile devices • Explore different models of integrating decision support into the clinical workflow • Leverage the Miya standards based FHIR interoperability platform to support other external algorithms such as the CSIRO readmission prediction model • Leverage FHIR to support innovation from multiple vendors

  10. Acknowledgement • NSCCLHD ICT Unit • NSLHD Performance & Business Intelligence Unit • Alcidion • Centre of Translational Data Science Team, The University of Sydney

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