Healthcare grift was claimed to be the motive for gunning down the CEO of the largest health-payments corporation, UnitedHealthcare.
The USA is stuck in a second Great Inflation or Great Depression, this time driven significantly by the inflated prices of crony-socialist healthcare.
People are suffering and dying from epidemic mRNA vaccine-caused clotting and compromised-immunity diseases.
Healthcare prices are high. Healthcare benefits feel incommensurately small.
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Clinicians should step up and make this stop.
Healthcare Production Is a Process, and Processes Can Be Improved
With healthcare processes, like with all processes, producers develop the processes to seize an opportunity more quickly than competitors can. Initial process development yields usable results, and at that point a process largely gets frozen in place.
As the process generates more resources over time, producers and hangers-on expand to use these resources to pay for self-imposed clinical trial extravagance, marketing, lobbying, regulations, media, lawsuits, derivative processes and products, and more, far exceeding what’s needed for the core process. The core engine of prosperity ends up pulling along a lot of riders.
Much can be gained by starting from scratch to still add the same value and to also capture opportunities the existing process misses, while leaving out everything that’s not essential.
Future Clinicians Will Share Outcomes and Learn in Real Time
Clinicians’ current practice uses small data, slowly.
Pharma funders choose unrepresentative groups of patients, conduct costly small trials of safety, conduct more-costly still-small trials of dosing, conduct still-more-costly still-small trials to satisfy funder-chosen clinically less-than-definitive efficacy targets, freeze the results, publish, and market.
For the trialed uses, clinicians follow the trialed protocols like cookbook recipes. For off-label uses, clinicians start with the same doses, discover outcomes, and with considerable difficulty, share them. As a whole, currently, healthcare innovations are discovered at great cost and only after built-in substantial multiyear delays, and after all that are even then often also passed along markedly slowly.
Current practice using small data is depicted, in a stylized overview, on the accompanying figure’s left side. Future practice using big data is depicted on the figure’s right side.
Figure. Clinical small data vs. big data
Clinicians’ future practice will use big data, instantly.
A clinician will start with a profile of what’s already known about his customer’s genetics, health history, and lifestyle. He will add his current observations. He will then query to find out, for customers who match his customer either closely or closely enough, what outcomes all other clinicians have seen using their own best practices, from as far back as has been recorded to as recently as has been added.
He will consider what interventions will be his best practice for his customer right now—maybe trying a lower dose that might lessen side effects, maybe trying a higher dose that might increase efficacy. He will add these interventions to his customer’s profile.
Later, if he learns anything more about this intervention’s safety or efficacy, he will add this information to that profile.
Unlike in current practice, in future practice all releasable information that’s known about all customers will be collected, shared, pooled, interpreted, and used to guide the next interventions by the next clinicians everywhere.
The resulting model of customers’ responses won’t be biased by only collecting information about unrepresentative groups of customers and adequate dosing regimens. Instead, the model of all the world’s customers will be all the world’s customers. Also, dosing regimens will be as closely tailored as producers make available to support.
Ultimately the best model of the real world is the real world itself.
Future Clinicians Will Be Empowered by Open Software
To perform such decentralized, finely-tailored practice, clinicians will use tools that seamlessly help them capture information about customers, visualize the patterns of what practices for various subpopulations have been the safest and most effective, capture their practice recommendations, and capture their followup observations.
Crowd-sourced open software has attracted immensely-talented contributors—as a particularly-applicable case in point, producing the workhorse Python software language and libraries.
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In any given domain, the key enabling information is knowledge of the domain itself. Covid responses showed that the current government- and pharma-dominated small-data processes are a weakness. But at the same time, the covid responses’ immediacy, breadth, and depth displayed that healthcare has attracted and developed an immense base of highly-intelligent, highly-trained talent. These people simply lack a system that supports their learning and sharing.
A once-in-a-civilization opportunity to improve human survival and quality of life will attract contributors and will lead them to develop tools that are highly supportive and life-improving.
The world’s-grandest challenge will attract the world’s-best contributors.
Clinicians’ Time to Reach Their Potential Is Now
Healthcare is now in the forefront of governance.
Across history, freedom has repeatedly been increased when tyrants have been interposed against by lesser magistrates.
King Saul’s guards refused the king’s order to kill the priests at Nob. Syrian Governor Petronius refused Emperor Caligula’s order to install an image of the emperor in the Jewish temple. English nobles resisted King John. Scottish earls and nobles resisted English King Edward II. Saxony Prince Frederick the Wise blocked Emperor Charles V from killing or imprisoning Martin Luther. Magdeburg, Germany pastors resisted Emperor Charles V. John Knox and Scottish nobles resisted the Roman Catholic Church. American politicians and militia resisted King George III. Romanian Minister of Defense Vasile Milea refused leader Nicolae Ceausescu’s order to shoot demonstrators.
Clinicians have taken up a highest calling: to help people to health. Now, they learn that to do that, they also must stand against governments and cronies.
Clinicians will.
The legacy of covid will ultimately be that the initial responses revealed the weaknesses of government and crony control of medicine, but that the subsequent responses brought clinicians back to leading healthcare innovation in the emerging age of big data, improving health for everybody.
