It's Time To Train the HIT Machines

Christine Kerr

By Christine Kern, contributing writer

Is EHR Tracking For Your Healthcare IT Clients Ethical?

Accenture Healthcare IT Vision 2015 reveals five key trends in HIT.

Digital is having a dramatic impact on the healthcare industry today, revealed in five key trends, according to the Accenture Healthcare IT Vision 2015 report. Based on a survey of 601 doctors, 1,000 consumers, and 101 healthcare executives, the survey highlights these emerging tech trends that will impact the industry over the next three to five years.

Among the findings of the report is the fact that healthcare execs will have to begin focusing as much time and energy on training machines as they do on training people. A majority of those surveyed responded that the industry needs to begin prioritizing resources on training machines – using algorithms, intelligent software, and machine learning, for example – over the next three years. And most concurred that provider organizations, which are inundated by clinical data, will also need to manage intelligent machines in addition to human resources in order to handle the load.

“As the digital revolution gains momentum, doctors and clinicians will use machines to augment human labor, personalize care and manage more complex tasks,” Kaveh Safavi, who leads Accenture’s health business, said in the statement. “The digital revolution is also creating a data goldmine that can spark medical breakthroughs and improve individualized treatment plans.”

Turning to intelligent machines could also help assimilate health data originating from disparate sources such as diagnostic tests, internet-connected devices, genomics, and medical records. The study found that 441 percent of health execs reported that that their data volume has increased more than 50 percent over last year. This data explosion is driving the emergence of “smart” software that uses data analytics to return better healthcare.

Among those surveyed, 59 percent said they use rule-based algorithms; 52 percent use machine learning, 49 percent use intelligent agents, and 45 percent use predictive analytics to infuse intelligence into systems.

And 73 percent report that they have already seen positive ROI from their investment in technologies such as wearables that create and utilize patient-generated data.

“We’re entering an era of personalized healthcare where patients expect to have a meaningful and convenient individual health experience, both virtually and in-person,” Safavi said. “The advent of real-time patient data, smarter technologies and individualized services will help health providers break from their traditional business models and provide outcome-focused services for individuals.”

Source: It's Time To Train the HIT Machines

Via: Google Alert for ML

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