Health Care Data Wars: Stretching the Regulations on Information Blocking and The New Burdens of AI

Health Care Data Wars: Stretching the Regulations on Information Blocking and The New Burdens of AI

One of the key goals of health care reform, going back to HIPAA in 1996 and particularly the HITECH act of 2009, is to allow the free flow of patient data in a secure and privacy-preserving way. Health care reformers pushed for these bills, knowing that billions of dollars were being wasted while patients were languishing because each health care provider failed to share data with others.Most barriers to data sharing were built into technology and institutions. APIs such as promoted by Amazon.com in retail were simply missing in health care. Documents between different organizations were incompatible, even if the organizations claimed to comply to standards such as HL7. Patients were reduced to taking a cart to the doctor’s office and loading it with paper copies of their records (or more recently, with a CD), often after payment of an outrageous copying fee.

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It’s axiomatic that modern analytics benefit from enormous amounts of data. The entire Internet has proven inadequate for the current iterations of popular generative AI programs such as ChatGPT (especially since a growing percentage of material on the Internet is AI-generated, which means that the AI models are now eating their own offal).When the term “big data” first appeared some 20 years ago, it was described as a set of V’s, including volume and velocity. Not only do real-time analytics benefit from large volumes of data; they want to obtain up-to-date data at a high velocity.


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