Source: Deep Learning on Medium
How AI is Transforming Health Care
Artificial Intelligence (AI) enabled Colin Hill to determine which blood cancer patients could get the most from a bone marrow transplant. Hill Runs, GNS Healthcare, found genetic signatures in some multiple myeloma patients, suggesting they should benefit from transplantation. For others, a risky, painful, and costly approach will probably only provide false hope.
Did you know :
90% of USA hospitals that have switched to digital medical records; more than 1/2 Americans now have their health information in the electronic health system
Hospitals and doctors’ offices collect reams of data on their patients — everything from hypertension to mobility measures, to genome sequencing.
Today, most of that data is sitting on a computer somewhere and not helping anyone. As computers become better at using AI to find patterns in large amounts of data, recording, storing, and analyzing information becomes cheaper and more comfortable.
“I think AI has already touched the average patient or prospective patient in health care,” said Chris Coburn, chief innovation officer of Boston-based Hospital and Physicians Network Partners Healthcare System.
AI has already helped medical managers and schedulers make better use of billing and providers’ time — though this can cause many doctors (and patients) crazy, because of the labor of work and typing time rather than communicating with the patient.
AI is a little further from reality when it comes to patient care, but “I can’t easily name a field [of the healthcare] that is not actively involved in AI,” says Coburn, referring to pathology and radiology. Spine surgery, heart surgery, and dermatology.
The stories of Might and Hill predate the coming transformation that will enable the full potential of AI in medicine, they and other experts say. Such digital technology has been changing other industries for decades — cellphone traffic apps or GPS applications for travel, measuring weather, wind, and wave action to develop the most fuel-efficient shipping routes across the oceans. Although the need for patient privacy and other factors has slowed, AI will eventually make a real entry into medical care.
Supporters say that AI promises earlier cancer diagnoses and shorter timelines to develop and test new. Natural language processing should allow doctors to differentiate themselves from their keyboards. Wearable sensors and data analysis provide a rich perspective on the health of patients as they unfold over time.
Do you know:
Two hours: Amount of time doctors spend with electronic health systems and desk work for every 1 hour they spend with patients.
Concerns About Digital Care
Preventing Medical Errors
$11.1 Billion: Amount invested in digital health start-ups in the first three quarters of 2018.