2025: 20% doctor included? an exercise in technology speculation & musings vinod khosla

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Presentation transcript:

2025: 20% doctor included? an exercise in technology speculation & musings vinod khosla

10% to 20% of cases: delayed, missed, and incorrect diagnosis graber, et al., jama,

40,000+ patients in u.s. icus may die with a misdiagnosis annually winters, et al., bmj quality & safety,

50% of MDs are below-average math 4

human doctors cognitive limitations cognitive biases 5

a study of one hundred cases of diagnostic error involving internists found… graber, et al., jama, 20056

…system-related factors contributed to the diagnostic error in 65% of the cases and cognitive factors in 74%... graber, et al., jama, 20057

…premature closure was the single most common cause graber, et al., jama, 20058

the value of second opinions cleveland clinic doctors’ review of initial diagnosis

the American College of Cardiology and the American Heart Association made 7,196 recommendations leading to 53 practice guidelines on 22 topics… …48% have level C evidence (the worst kind)… …11% have level A evidence (the best kind)… …and only 19% of recommendations in class I guidelines had level A evidence 10tricoci, et al., jama, 2009

surgeons were given detailed diagnoses & asked if patients should get surgery … half said yes … the other half said no … when asked again two years later, 40% of the docs gave a different answer eddy, et al., jama,

fifty-eight experts’ estimates of the chance of an outcome of an important procedure 0% 0.2% 0.5% 1% 1% 1% 1.5% 1.5% 2% 3% 3% 4% 5% 5% 5% 5% 5% 5% 5% 6% 6% 6% 8% 10% 10% 10% 10% 13% 13% 15% 15% 18% 20% 20% 20% 25% 25% 25% 30% 30% 40% 50% 50% 50% 62% 70% 73% 75 75% 75% 75% 80% 80% 80% 80% 80% 80% 100% what does a consensus of a group whose perceptions might vary from 0% to 100% even mean? eddy, et al., jama,

wide ranges of uncertainty eddy, et al., jama, seventeen experts’ estimates of the effect of screening on colon cancer deaths 0%25%50%75%100% proportion of colon cancer deaths prevented = one expert’s response

conventional wisdom and the “tradition of medicine” matthews & wilson, new scientist, should fever be reduced in critically ill patients? “there were seven deaths in people getting standard treatment and only one in those allowed to have fever” “the team felt compelled to call a halt, feeling it would be unethical to allow any more patients to get standard treatment”

nearly half of all american adults have difficulty understanding and acting upon health information institute of medicine of the national academies,

there is good reason to challenge the assumption that every individual practitioner's decision is necessarily correct eddy, et al., jama,

for most study designs and settings, it is more likely for a research claim to be false than true ioannidis, plos med,

entrepreneurs will ask the naïve questions that uncover hidden assumptions… …and move us to the grey zone of “speculations” 18

in the future, patients will have the data & analysis to become the CEO of your own health peter diamandis 19

80% of what MDs do can be replaced (with better care than the average MD)… …but not every MD function will be replaced 20

the “human” element of care can be provided by the most “humane” humans (and MDs can be humane) 21

machines are better at integrative medicine… …across “all symptoms”, demeanor, patient history, phone activity, 1000s of data points, genomics, population management guidelines, … …and machines won’t have to win every time… …they’ll just be better overall 22

Lifecom CHAMP in acute care I …distributed care with medical assistants were 91% accurate without labs, imaging, or exams II …“safe triage” with 75% physician bypass rate for acute care encounters 23

isabel II matched expert diagnoses 91-95% of the time 24

dr. algorithm v0 25

the transition will start with “toddler MDs” and digital first-aid kits 26

27 Cellscope: ENT+ derm images… Adamant: breath analysis Eyenetra: auto-optometrist Ginger.io: mental health Alivecor: frequent EKG+ analysis Quanttus: physiological metrics (HR, BP, SV, CO, RR, T, …) Medgle: graph of medicine Healthtap, Crowdmed: crowdsourced answers Kyron: practice based evidence Jawbone, Misfit: wellness wearables

don’t wait days to take your daughter to the hospital… …check her ear infection as soon as it hurts 28 *a khosla ventures investment CellScope

don’t go to the hospital and get connected to a bunch of electrodes… …take your own ecg for less than a buck… …and know you have heart disease before you have an attack! 29 *a khosla ventures investment AliveCor

don’t go to the optometrist… …get measured for glasses at home 30 *a khosla ventures investment EyeNetra

don’t guess what’s going on inside your body… …get vital intelligence 31 *a khosla ventures investment Quanttus

don’t wait for an asthma attack… …know when it’s coming 32 *a khosla ventures investment Adamant

forget kappas of 0.2 in the DSM-5… …get reliable, consistent diagnoses 33 *a khosla ventures investment Ginger.io

graph the world of medicine… …and see where you fit 34 *a khosla ventures investment Medgle

evidence-based medicine isn’t enough… …think practice-based evidence 35 *a khosla ventures investment Kyron … use data-mining to learn ethnicity-specific drug interactions (e.g. statins work differently in Indians)

thousands of physicians… …no waiting room 36 *a khosla ventures investment HealthTap

healthcare service stations & digital first aid kits 37

keep people out of the doctor’s office… …with point innovations in cardiology, dermatology, optometry, psychiatry, internal medicine, … 38

innocuous point innovations… 39 …will evolve into a wave and explode into a tsunami

dr. algorithm v0 v1 – 2015 v2 – 2017 v3 – 2019 v4 – 2021 v5 – 2023 v6 – 2025 … 40

we’ll start with clumsy point innovations like alivecor, cellscope, adamant, ginger.io, neurotrek, consumer physics, jawbone, misfit, … …“insighted” by machine learning… …leading us to discover things we never knew were right in front of us 41

the best MDs will train systems over 10 years… …systems will symbiotically provide “bionic assist” and “AMPLIFY” MDs 42

dr. house+++ will be the trainer for dr. algorithm …no manners required! …but manners learned! 43

findings thanks to data using statins for in-hospital stroke patients reduced the death rate by 40%! kaiser permanente44

45 the practice of medicine the science of medicine

I will be wrong on the specifics but directionally right 46

the shift to “computerization” has already happened in other areas… …airline pilots, stock trading, car driving 47

there aren’t enough rural doctors in india and few have access to jama journals, mris, … …the world of medicine is under-resourced globally 48

20% doctor included? vinod khosla