The Human Healthcare Stack, a Humbly Proposed Solution


It is generally acknowledged that the periodic exam is the shaky foundation upon which Modern Medicine has been built. Such health assessments are ineffective, in large part because the majority of fatal diseases don't manifest themselves until the patient is exhibiting symptoms. They are also at their least treatable at this time. Because the checkup's roots are in the early days of medicine when doctors lacked noninvasive clarity and had limited understanding of the conditions they were treating, inefficiency is ingrained in the practice.


Now in 2018, many people are still perplexed. Why haven’t curable diseases been virtually removed as a contribution to general mortality? Despite our obvious advancements in capabilities, there is a glaring lack of incentive in the current healthcare systems. Why do we compromise when it comes to our health when there are thousands of variables tracking things like the adverts we are likely to click on? These issues only become apparent when you look at them on a larger scale, with underserved sections of people being shockingly frequently subjected to massive public health issues like epidemics due to sporadic data reporting and a lack of usage of technology in other areas.


Although the known unknowns in human biology are always growing and it is actually a hierarchical system that is dynamic and emergent, we're happy to take a few photographs of a single variable over a long period. It seems absurd.


As a result of data network effects, it should be possible to create a multi-layered, preventative healthcare system that is tailored to the individual and continues to become more affordable and effective over time. By suggesting this, I am in no way claiming to be a visionary or to have the answer to these pressing issues. In truth, many bright people, including academics, businesspeople, and healthcare experts, have given this kind of explanation.





A Framework with Multiple Levels for Preventive Health


The implementation of interfaces between all of the dispersed providers, tools, data kinds, and patient groupings is not the primary focus of this system. Although this is undoubtedly a challenging subject, it appears that many bright people are focused on it. Although it is a basic bottleneck for most of the recommended activities that will follow, I believe that this problem can and will be solved over the next few years.


1: Public health forecasting and macrotrend prediction


The burden of disease on the planet is incredibly expensive for humanity. More than $15 billion is spent annually on the direct costs of treating malaria alone. With forecasting-based prevention, we can avoid millions of deaths, save enormous sums of money, and increase productivity.


2:Person-to-Person Preventive Care


The most well-known and well-known method is probably developing individual preventative health systems that track your well-being after combining your clinical health data, i.e. Building a longitudinal observation system and enhancing our general health would benefit greatly from the use of electronic medical records, genetic and lab reports, and your everyday data, such as fitness, sleep, and food. Several teams are working on this or a problem upstream from it, but little seems to be being accomplished.


3: Inpatient evaluation and therapy


There is a lot that has previously been done in this arena, but more can be enhanced with the first two tiers of the structure in place. Inpatient therapy will essentially resemble stage 2, and because of the data network effects created by the two previous statements, the diagnosis will directly improve.


Several organizations are working on utilizing expressive arts, virtual reality, and other technology to great benefit in alternative preventative medicines, which is an intriguing field to investigate.

4: Time-sensitive therapeutic genetic circuit bioengineering.


Bioengineering is advancing tremendously, with some groups developing computational environments that let you create and choose the best possible genetic circuits. Dr. Peter Girguis, one of my Harvard University professors, once described to me the potential of biologically integrated therapies for preventative healthcare, in which timed or sensor-specific genetic circuits release a certain chemical that addresses a given ailment or pathological pathway.