{"id":3611,"date":"2020-11-12T01:00:08","date_gmt":"2020-11-12T01:00:08","guid":{"rendered":"https:\/\/techclot.com\/index.php\/2020\/11\/12\/va-turns-to-machine-learning-to-automate-prescription-workflows\/"},"modified":"2020-11-12T01:00:08","modified_gmt":"2020-11-12T01:00:08","slug":"va-turns-to-machine-learning-to-automate-prescription-workflows","status":"publish","type":"post","link":"https:\/\/techclot.com\/index.php\/2020\/11\/12\/va-turns-to-machine-learning-to-automate-prescription-workflows\/","title":{"rendered":"VA Turns to Machine Learning to Automate Prescription Workflows"},"content":{"rendered":"

VA Turns to Machine Learning to Automate Prescription Workflows<\/a><\/p>\n

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Clinical pharmacists within the Veterans Affairs Department are applying machine learning techniques to automate administrative workflows around prescriptions and pharmacy benefits. <\/p>\n

In doing so, they\u2019re learning firsthand how emerging technology-based solutions can help free up their time, so that more attention can be given directly to patients, according to the Executive Director of the Veterans Health Administration\u2019s Innovation Ecosystem, Dr. Ryan Vega.<\/p>\n

\u201cYou always hear this concern, that [artificial intelligence], or machine learning, or these new technologies are going to replace physicians, and I think it’s quite the opposite,\u201d Vega said during a government symposium hosted<\/a> by Red Hat Tuesday. \u201cI think it’s actually going to help providers get back to the bedside\u2014spending more time with patients.\u201d <\/p>\n

Vega, who is also a practicing physician, explained that when veterans go in to be treated, they\u2019ll often leave with a prescription for medication\u2014\u201clet’s say an antihypertensive medicine for blood pressure,\u201d he offered. The patient will then head to a pharmacy to pick their remedies up, and at that point, they\u2019ll either pay a copay, not pay at all, or use outside insurance.<\/p>\n

\u201cAll of that is adjudicated by clinical pharmacists, right?\u201d Vega said. \u201cWe sort of make this perception that it’s so complex that we need somebody who really understands the classification of the medications, are they antihypertensives, that this patient actually has hypertension, that it wasn’t incorrectly prescribed, and so forth\u2014instead of recognizing that this is just relationships.\u201d<\/p>\n

So, some clinical pharmacists who made that connection started to develop machine learning-driven approaches to do that specific work. <\/p>\n

Vega didn\u2019t go into deep technical detail regarding the new machine learning solution during the discussion on intelligent data-as-a-service (or iDaaS) in government health care, but he repeatedly emphasized the impact it had on the VA\u2019s workforce. <\/p>\n

\u201cWhat the result was, was not only freeing up these clinical pharmacists from these administrative tasks, but actually allowing these clinical pharmacists [to be] able to spend more time with patients at the bedside\u2014so seeing our patients in clinics, or actually provide more care and service to patients in the hospital setting,\u201d he said. <\/p>\n

Looking ahead to the promise iDaaS holds for the future, Vega articulated his belief that additive manufacturing within the walls of hospitals will eventually revolutionize how health officials\u2019 think about medical supply chains, as well as the overall medical design approaches they pursue.<\/p>\n

\u201cTo contextualize this, just imagine that if you need a hip replacement, or a knee replacement, that it’s manufactured for you\u2014and we don’t order it, we actually design it for you,\u201d he said. <\/p>\n

This sort of transformation in health care delivery is already starting to unfold in medical systems across the country, Vega noted, adding that VA is beginning to convert imaging scans such as MRIs into physical objects for pre-surgical planning through its new wave of manufacturing. The agency recently launched a new partnership<\/a> to roll out medical device manufacturing facilities\u2014inside its hospitals\u2014to steer the production of health-related devices and instruments.<\/p>\n

\u201cThe new internet of things around 3D printing, and manufacturing and design, I think is going to be an explosion of innovation research,\u201d Vega said.\n\n<\/svg><\/p>\n<\/p>\n

Published at Wed, 11 Nov 2020 20:50:54 +0000<\/p>\n

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Published at Wed, 11 Nov 2020 19:52:30 +0000<\/p>\n","protected":false},"excerpt":{"rendered":"

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