3 ms·
Much easier said than done. There are several startups out there attempting to achieve something like that. The issue isn't in the technical difficulty, but the
by nicolashahn 9y ago
Much easier said than done. There are several startups out there attempting to achieve something like that. The issue isn't in the technical difficulty, but the bureaucracy and red tape involved in getting the patient data, getting enough illness/symptom data to make diagnoses possible (which is a lot), proving to the hospital that it's worth the effort to adopt the platform, and making a solution agnostic enough to extrapolate to enough hospitals to turn a profit.
- mychael 9y agoAgree 100%. I never claimed it would be easy, just that software could help.
- beagle3 9y agoThe issue is also the technical difficulty. There is huge variance and the number of variables to consider is also great. A computer/database is a better tool for the job, of course, but the balancing act between false negative and false positives is extremely hard. See, e.g. the (very) simplified case of base rate fallacy[0] ; There is an inherent information problem in doing diagnosis, that a large database and fast search do not address. [0] https://en.wikipedia.org/wiki/Base_rate_fallacy#Example_1:_Drunk_drivers https://en.wikipedia.org/wiki/Base_rate_fallacy#Example_1:_D...