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

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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


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ACUTE CORONARY SYNDROME (ACS) & SURGICAL CARE RISK STRATIFICATION PLATFORM Seven Guney, Program Manager NSLHD Health Informatics & Analytics Program MIYA PRECISION

NSLHD, The Sydney Uni & Alcidion Partnership

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

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Right Infrastructure CDS AI-NLP & ML Operational Dashboard Access to Real time eMR Data

  • Improve quality and safe care
  • Improve the patient experience of care
  • Improve health outcomes
  • Improve clinical, business and
  • rganisational practice

Focus

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Project Scope

Operational Dashboards

  • Cardiology Risk Stratification
  • Surgical Care Risk Stratification
  • Hospital Acquired Complications
  • VTE
  • Arrhythmia
  • Medication Complications
  • Hospital Acquired Infections

Data in FHIR format CDS

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Targeted patient cohorts

Patient level

  • Demographic info
  • Allergies
  • Alert
  • Chronic problems

Encounter level Waitlist Having a surgery Will have a surgery Chest Pain Keyword Search Cardiac pathway Troponin ECG evidence Procedures Medical Imaging SNOMED-CT, ICD10

Patient Level

Demographics, Providers Allergies, Alerts Chronic Conditions Histories – Family, Social, Past Medical

Visit Level- Patient Journey

Admission, Transfer, Discharge Pathology Orders & Results Radiology Orders & Results Diagnosis , SNOMED CT & ICD10 Vital signs via BTF & iView Medication Perioperative surgical care Clinical Doc (Clinical Notes, Scanned Doc) Discharge process

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Infrastructure – Miya/FHIR

  • Patient, Practitioner
  • Organisation, Location
  • Appointments, Procedure
  • Encounter, Episode of Care
  • Observation, DiagnositicReport
  • ClinicalImpression (Clinical notes)
  • Flag, AllergyIntolerance
  • MedicationRequest, MedicationAdministration
  • Tasks, ServiceRequests (Referrals)
  • DetectedIssues (Clinical risks via CDS)
  • Communications, Notifications (via CDS)
  • Concept identification within

ClinicalImpressions (via NLP)

  • CDS Observations (via CDS)
  • Tasks, ServiceRequests (via CDS)
  • ‘Tags’ of patient cohorts (via CDS)

Cerner to FHIR Mapping Generated by AI & CDS in Miya Precision

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Operational Dashboards (Example Configuration)

Location Cerner Patient Cerner/IPM Timers CDS Tasks CDS Tags, Detected Issue CDS Medication Cerner Observations, Cerner Diagnostic Reports Cerner, ESB Observations, Concepts NLP Tasks from Pathway CDS

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AI support – NLP

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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
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Acknowledgement

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