It was an honor to be invited to present the Clinical Informatics keynote at the Health Informatics Society of Australia's #HIC16 conference on July 25, 2016.
Here is an outline of the topics that I spoke about in greater depth with audience of Clinicians & IT execs.
(In a separate presentation I spoke of the importance of engaging Patients in healthcare design, patient generated data, self-care, crowdsourcing, etc)
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