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
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)