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As AI advances medical care is going to be a recipient of the accuracy, quality, access to care and innovations it brings.
Currently we have data bases of diagnosis, pharmacology, pathology and physiology that are current and appropriate to use within AI. Secondarily, we have immense data results as to projected statically outcomes based on presenting patient elements and status of present health.
he DOD (department of defense) has for several years offered protocols for various medical diagnostics. The trend will continue expand with examples being that of electronic prescriptions.
Lets remember that there was no pharmacist on the series star trek and the later episodes had only a hologram for a prescriber. Seeing the current and past advances in AI, we currently can offer preliminary exams electronically now - temp, weight, CBC's, BP, pulmonary functions, calculates the BMI, reports the CBC, and lipid profiles. Identifies vitamin deficiencies, prescribes diet, exercise. queries the patient as to social habits, tobacco use, drinking with saliva testing for virial disease. The common blood analysis is no longer performed by hand, but fully automated with printouts to alert the reader to out of bound ranges.
These often are managed by a technician; the physician currently provides the interpretive elements of the visit and then codes for billing. The billing has advanced rapidly with electronic venues as will as payment timeliness.
My vision is that within 20 year, a kiosk will be available for the patient to step into for all primary level 1 & 2 wellness exams. Secondly, due to the very complex pharmacology that is being deployed now with strong guidance due to phenotype and genotype focus with gene related disease; we now are seeing a lack of human ability for the mass of information to be assimilated and used properly. AI is fit for this. As the specificity grows in disease treatment with pharmaceuticals the prescriber will just refer the patient to the manufacturer for a hybrid workup. The gene therapies now emerging will require tools, technique beyond todays medical capacity.
There will be retained some special prescribers who will need to be absolutely top of the class for outlier patients. However, inclusion of AI in healthcare will advance rather quickly due to confines in cost of care. The patient that is not engaged in AI care will have poor outcomes overall.
AI also brings the thoughts of "big brother" the doom of robots and other concerns. Clearly the accumulation of data on our persons, then will lead to patient costs as a funding means, penalties and compliance with patient performance if outside of parameters and segration of longevity of life.
THe digital life is here. No fear, do play!