Artificial intelligence is poised to change the way healthcare information is stored and processed. With Amazon, Microsoft, Google, and other tech companies turning their eye to healthcare, how will new information be presented? One Forbes contributor thinks that the future looks like a Spotify menu of AI healthcare options.
“As the cloud storage wars have entered health care, a question has emerged: Beyond security and the improved economics of cloud storage versus physical storage, what will drive revenue for cloud vendors?” asks Forbes contributor Brigham Hyde. By using a model like popular music streaming service Spotify, AI developers could democratize the systems used by physicians.
“Artists who submit content to Spotify or iTunes are inherently compensated based on the number of times users listen to their music (and based on other factors such as location, type of subscription, etc.). If the audience deems that it's a quality song, then compensation flows back to the creator of the content,” Hyde writes. Using a similar model for healthcare developers means more opportunity.
“For AI model developers in healthcare, this could mean that, whether you are a grad student or a multinational company, your model could have a marketplace by which you’ll succeed if your accuracy and utility actually drive a financial component of the data economy in healthcare. Further, this puts healthcare providers and payers in the position of ‘voting’ for AI models that actually positively impact their business and patient outcomes.
Imagine an oncologist with a ‘playlist’ of AI models they might utilize for a subset of patients, trained in regard to new data and transparently judged based on performance. This type of model puts the physician and administrator in a critical role of judging utility based on output and performance.”
By combining real-world data, AI, and the approval of both doctors and payers, this could change the way healthcare information and records are organized – and maybe help save lives. The model could offer improved quality care, decreased physician workload, and possibly better outcomes for patients.
“AI technology is ready to prove itself in health care. There is half a decade of testing, experimentation and advances. New studies on AI in clinical use, such as the recent evidence published at ASCO showing pre-trained modules can successfully predict chemotherapy-induced neutropenia and make cancer treatment safer are emerging every day.
With cloud vendors and the future emergence of a Spotify-style model marketplace, it is possible for AI to finally become mainstream. To help physicians and patients every day with life-and-death decision making that moves health care forward.”
For the rest of this story, visit Forbes.