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Clinical Informatics:
Lessons from the U.S.
Wen Dombrowski, MD, MBA
@HealthcareWen #HIC16
Clinical Informatics
Nurse
PhysicianPharmacist
Physio Psychologist
Allied
Health
Who’s here?
interdisciplinary &
work with nonclinicians @HealthcareWen #HIC16
Clinical Informatics
Healthcare I.T. is more than engineering
Value proposition – clinicians understand:
diseases, assessment, treatment, & clinical
workflow
patients & families – the human stories
@HealthcareWen #HIC16
Why involve clinicians early?
Lessons learned from…
@HealthcareWen #HIC16
Usability & Workflow
Many U.S. clinicians frustrated with EHR’s
Time-consuming data entry
Data not meaningful nor accessible
Not technology per se, but design
Happiest users when organizations…
Invest TIME to design UI’s & workflows
Involve CLINICIANS to select, design, implement
@HealthcareWen #HIC16
Understand what clinicians &
patients need  adapt tech
User Experience (UX): how person feels
when interacting with software or task
Usability: easy to use
Workflow: sequence of processes/steps
User-Centered Design: ask users, watch
users, see from their perspective
Psychology & Behavior @HealthcareWen #HIC16
Gov can hinder or catalyze
Policy, regulations
Funding, incentives
Convening
Example: U.S. 2009 HITECH Act (“Meaningful Use”)
$$Billions for hospitals & doctors to implement EHR
Pros: vision for digital communication & analytics
Cons: reality… @HealthcareWen #HIC16
Interop & Data Architecture
U.S. gov did not require interoperability
Hundreds of competing EHR’s developed
disparate systems  data silos
Costly workarounds: integration engines,
API’s, data warehouses, HIE’s @HealthcareWen #HIC16
Interop & Data Architecture
Need strategic foresight of end goals
while setting up systems
Interop is foundational prerequisite to all
data-dependent initiatives/activities:
Clinicians know what info useful
 Patient Care
 Quality Measurement
 Analytics
 Population Health
 Decision Support
 Research
@HealthcareWen #HIC16
Interop & Clinical Mapping:
Not easy to create Diabetes Report because…
Haemoglobin (Hb) ≠ Heamoglobin A1C (HbA1c)
and...
@HealthcareWen #HIC16
 Patient Care
 Quality Measurement
 Analytics
 Population Health
 Decision Support
 Research
Interop & Clinical Mapping:
Example of pitfalls when Non-clinicians set up
Clinical Information Systems
Automating thousands of errors
@HealthcareWen #HIC16
Health & Care beyond
hospitals and doctor’s offices
Home & Community-based care
Care coordination & communication tools
Telehealth remote monitoring
Telemedicine virtual visits
Online triage & Home diagnostics
Patient-generated data
Logistics & BPM platforms
@HealthcareWen #HIC16
Vendor Relations
Involve clinical + tech experts when evaluating
Understand your org’s needs  make checklist
Beware of sales pitch B.S.
Due diligence
Total cost of ownership
Contract obligations & pay contingent
Learning collaboratives
Incubate startups @HealthcareWen #HIC16
Clinical Informatics Roles
Executive Leadership: CMIO, CNIO, CHIO
Practitioner: Hands on, planning, implementing, managing
Researcher: Academia, EBM, safety & efficacy, theory
Translational science & disseminating best practices
Entrepreneurship (startups) or Industry (vendors)
Workforce development (courses & practicum)
Executive buy-in & dedicated time to do job
Organizational culture change (see http://bit.ly/dhinnovationdna )
@HealthcareWen #HIC16
Clinical Informatics Value
Healthcare I.T. is more than engineering
Clinicians understand:
diseases, assessment, treatment, & clinical
workflow
patients & families – the human stories
@HealthcareWen #HIC16

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Clinical Informatics: some lessons learned

  • 1. Clinical Informatics: Lessons from the U.S. Wen Dombrowski, MD, MBA @HealthcareWen #HIC16
  • 2. Clinical Informatics Nurse PhysicianPharmacist Physio Psychologist Allied Health Who’s here? interdisciplinary & work with nonclinicians @HealthcareWen #HIC16
  • 3. Clinical Informatics Healthcare I.T. is more than engineering Value proposition – clinicians understand: diseases, assessment, treatment, & clinical workflow patients & families – the human stories @HealthcareWen #HIC16
  • 4. Why involve clinicians early? Lessons learned from… @HealthcareWen #HIC16
  • 5. Usability & Workflow Many U.S. clinicians frustrated with EHR’s Time-consuming data entry Data not meaningful nor accessible Not technology per se, but design Happiest users when organizations… Invest TIME to design UI’s & workflows Involve CLINICIANS to select, design, implement @HealthcareWen #HIC16
  • 6. Understand what clinicians & patients need  adapt tech User Experience (UX): how person feels when interacting with software or task Usability: easy to use Workflow: sequence of processes/steps User-Centered Design: ask users, watch users, see from their perspective Psychology & Behavior @HealthcareWen #HIC16
  • 7. Gov can hinder or catalyze Policy, regulations Funding, incentives Convening Example: U.S. 2009 HITECH Act (“Meaningful Use”) $$Billions for hospitals & doctors to implement EHR Pros: vision for digital communication & analytics Cons: reality… @HealthcareWen #HIC16
  • 8. Interop & Data Architecture U.S. gov did not require interoperability Hundreds of competing EHR’s developed disparate systems  data silos Costly workarounds: integration engines, API’s, data warehouses, HIE’s @HealthcareWen #HIC16
  • 9. Interop & Data Architecture Need strategic foresight of end goals while setting up systems Interop is foundational prerequisite to all data-dependent initiatives/activities: Clinicians know what info useful  Patient Care  Quality Measurement  Analytics  Population Health  Decision Support  Research @HealthcareWen #HIC16
  • 10. Interop & Clinical Mapping: Not easy to create Diabetes Report because… Haemoglobin (Hb) ≠ Heamoglobin A1C (HbA1c) and... @HealthcareWen #HIC16  Patient Care  Quality Measurement  Analytics  Population Health  Decision Support  Research
  • 11. Interop & Clinical Mapping: Example of pitfalls when Non-clinicians set up Clinical Information Systems Automating thousands of errors @HealthcareWen #HIC16
  • 12. Health & Care beyond hospitals and doctor’s offices Home & Community-based care Care coordination & communication tools Telehealth remote monitoring Telemedicine virtual visits Online triage & Home diagnostics Patient-generated data Logistics & BPM platforms @HealthcareWen #HIC16
  • 13. Vendor Relations Involve clinical + tech experts when evaluating Understand your org’s needs  make checklist Beware of sales pitch B.S. Due diligence Total cost of ownership Contract obligations & pay contingent Learning collaboratives Incubate startups @HealthcareWen #HIC16
  • 14. Clinical Informatics Roles Executive Leadership: CMIO, CNIO, CHIO Practitioner: Hands on, planning, implementing, managing Researcher: Academia, EBM, safety & efficacy, theory Translational science & disseminating best practices Entrepreneurship (startups) or Industry (vendors) Workforce development (courses & practicum) Executive buy-in & dedicated time to do job Organizational culture change (see http://bit.ly/dhinnovationdna ) @HealthcareWen #HIC16
  • 15. Clinical Informatics Value Healthcare I.T. is more than engineering Clinicians understand: diseases, assessment, treatment, & clinical workflow patients & families – the human stories @HealthcareWen #HIC16