Successfully reported this slideshow.
Your SlideShare is downloading. ×
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Upcoming SlideShare
Analyzing trends final
Analyzing trends final
Loading in …3
×

Check these out next

1 of 28 Ad

Healthcare Tomorrow 2018

Download to read offline

What are the social and technological trends driving the transition in healthcare from reactive disease-care, to proactive health optimisation?
How will this affect your work?
A presentation delivered to healthcare leaders in Sydney, Melbourne, Adelaide and Brisbane in 2018

What are the social and technological trends driving the transition in healthcare from reactive disease-care, to proactive health optimisation?
How will this affect your work?
A presentation delivered to healthcare leaders in Sydney, Melbourne, Adelaide and Brisbane in 2018

Advertisement
Advertisement

More Related Content

Similar to Healthcare Tomorrow 2018 (20)

Advertisement

Recently uploaded (20)

Advertisement

Healthcare Tomorrow 2018

  1. 1. The Healthcare of Tomorrow Douglas Fahlbusch Perioperative Healthcare Consulting, 2018 MIGA Key Opinion Leaders Dinners
  2. 2. The Past …
  3. 3. The Present …
  4. 4. The Future …
  5. 5. Healthcare today DiseaseCare. What are the drivers? Cover Credit: DENNIS CHALKIN, 1991
  6. 6. Healthcare Costs
  7. 7. Societal Demands
  8. 8. Reductionist thinking
  9. 9. Burnout Epidemic
  10. 10. * *
  11. 11. Future Tools
  12. 12. Machine Learning Today
  13. 13. Machine Learning => Intelligence What the ?? Tomorrow
  14. 14. Connectednes s http://smallbizclub.com/technology/hardware/employ-internet-things-business/
  15. 15. Wearable Sensors Wellness Apps Digital Exhaust /indiancountrymedianetwork.com/culture/health-wellness/diabetes-research-strikes-gold-with-a-graphene- //www.linkedin.com/pulse/20140818165857-16808-wearable-sensors-are-the-future-of-personalized-medi
  16. 16. Supply Chain
  17. 17. Genomics
  18. 18. Telehealth & AR/ VR https://www.silverchain.org.au/innovation/what-is-emmr/
  19. 19. Future Trends “Those who have knowledge, don't predict. Those who predict, don't have knowledge.” Lao Tzu C4 BC
  20. 20. Centre of Health
  21. 21. Predictive Analytics/ AI
  22. 22. AI. Ethics. https://youtu.be/ejczMs6b1Q4?t=11
  23. 23. Healthcare Roles
  24. 24. Clinical-Admin Collaborative
  25. 25. The Future …
  26. 26. Douglas Fahlbusch www.douglasfahlbusch.com drfahlbusch@perioperative.com.au admin@perioperative.com.au www.perioperative.com.au Perioperative Healthcare Consulting

Editor's Notes

  • “Prediction is very difficult, especially if it's about the future.” Niels Bohr 1885-1962
  • Doctors & Hospitals
    Healthcare 1000’s yrs
    Prof Mx 100
  • Public v Private
    Admin v Clinical
    Sub-speciality v sub-speciality

    Me anaesthesia 15 yrs, doctor 25
  • Cultural/ behavioural obstruction to updating accepted practice
  • Look at the past to see the future
    Scarce resources
    Rewards volume
    DiseaseCare
  • Aus 9% GDP, US 18% …
    150B pa AUS, 20% waste – $30B p.a.
  • Definition of Insanity – doing the same thing and expecting different results
  • Dr Google: Pts arrive with lists of questions

    Google surgeons - pick the one with the 'best website'

    I’ve been a patient – cancer – healthcare is difficult to navigate – what is it like for ‘normal’ patients
  • Me -> GDM, GAICD
    Realisation that:
    - What we do only affects 20% of outcomes!
    - There are a whole lot of factors we could manipulate, but we don’t know how to
    Frustration with just in time admissions – poor data
  • eg: CHF relapse - not taking night diuretic bc ‘inconvenient’
  • Formed PHC to investigate/ tackle:
    Funding
    Societal demands
    Technology changes
    Non-clinical determinants of health
    Burnout epidemic
  • Hunter-gather 1000’s years
    Agricultural 100’s
    Industrial generations
    Tech decades
  • Hunter-gather 1000’s years
    Agricultural 100’s
    Industrial generations
    Tech decades
  • Public ‘v’ private
  • Detect at stage 0 - ‘Digital exhaust’ – my cancer
  • Engaged, empowered, efficient
    staff know surgeon x wants zz, so hides it .. meanwhile not available to others, or restocked
  • ‘antibiotics’ & immunisation for cancer
    Biome
    RNA transcription – altered expression based on environmental influences

    CRISPR: gene editing
    CAR-T: Immune reprogramming
    SCNT: cellular reprogramming
  • Engaged, empowered, efficient
  • Proactive continuous HealthCare vs Reactive Episodic Disease Care
    Assist transition from here to there: Strategy/ Governance Ethics, Data + Clinical Admin Collaboration
  • Chris O’Brien Lifehouse - steps & sleep
    Predictive – diagnosis MI, COAD

    – cancer recovery – steps & sleep
    Family education
    readmissions: patient portal
  • Connectedness of existing data; data warehouse
    Triage for surgeon referrals … ED …
    Trust: Robust, Secure, transparent
    Employment increases worldwide
    Solve JIT admissions - data prior
  • Trust: Robust, Secure, transparent
  • Engaged, empowered, efficient. Blurring public/ private lines
    Students:
    learning it as they go (from other industries)
    Need frameworks, not recipes

    App helping staff, patients, doctors
  • Aetna 22.2 million medical members, 13.4 million dental members, 13.8 million pharmacy services members
    ~ 1.2 million health care professionals, .> 690,000 primary care doctors and specialists, > Over 5,700 hospitals
    Bought by CVS Health: Pharmacy - More than 246,000 colleagues across all 50 states, Washington, D.C., Puerto Rico and Brazil
  • Engaged, empowered, efficient
  • Exponential learning
    Data, Analytics, Therapeutic
    HC outside traditional/ non-clinical determinants of health
    Leverage domain knowledge from business and clinical teams
    Based around data & patients, not bricks and mortar (or public, or private)

×