AI News, National Artificial Intelligence Institute (NAII) artificial intelligence

US Department of Veterans Affairs Prioritizes AI Research and Development to Help Veterans

The VA plans to leverage its integrated health care system and the

database with the goal of researching how genes, lifestyle and military exposures

initiatives for developing novel informatics methods and approaches

advance the use of standards to enable and improve patients’ ability to share

“VA has a unique opportunity to be a leader in artificial intelligence,” said VA secretary, Robert Wilkie.

“VA’s artificial intelligence institute will usher in new capabilities and opportunities that will improve health outcomes for our nation’s heroes.”

2019: The Year Data Analytics and AI Made a Huge, Wavelike Breakthrough in U.S. Healthcare

There’s no question that federal reimbursement change, driven by the looming cost cliff (the Medicare actuaries are predicting that total annual U.S. healthcare system expenditures will explode from their current total of $3.6 trillion to $5.963 trillion, by 2027—a 60-percent increase over eight years.

So if 2019 was dominated at the policy level by discussions (and sometimes arguments) over how best to use reimbursement mechanisms to prod healthcare providers forward into two-sided risk and other payment mechanisms, the level of awareness of what it will take to help achieve that shift, also rose considerably this year.

The Indianapolis-based Anthem has been focusing on the highest-utilizing plan members in the health plan’s western region, to a level at which, as Antonio Linares, M.D., regional vice president and medical director for Anthem National Accounts, told me, “Our analytics process can identify the 3 percent of their panel membership that are responsible for 29 percent of the panel’s healthcare costs.” Ø  Meanwhile, Matthew Pirritano, Ph.D., director of population health analytics and quality improvement at L.A.

we have outpatient care managers and care management teams that try to anticipate high risk of hospitalization or readmission.” The word “predictive” is a key one here, with the leaders of many of the more advanced patient care organizations plunging headlong into the leveraging of predictive analytics, in order to do what needs to be done: achieve true clinical transformation.

Among numerous sessions today that involved AI was a session held at 3 PM local time, and entitled ‘Informatics (Artificial Intelligence: Triage, Screening, Quality).’ While the title of that session didn’t fully convey its content, much was shared by its first two presenters that was enlightening for radiologists and other radiology-related professionals, around controlled studies assessing the effectiveness of AI in specific clinical practice situations.” The case studies presented during that educational session involved one major area in radiological practice in which AI is being applied—that of the development of AI-derived algorithms that can trigger alerts to advise radiologists that certain diagnostic studies require urgent attention;

As part of that strategy, ACR AI-LAB™ will provide radiologists with tools to develop AI algorithms at their own facilities, using their own data, to meet their own clinical needs.’” And as Mike Tilkin, the ACR’s CIO and executive vice president, told me about the initiative, “We recognized that we needed to get radiologists more engaged in AI, recognizing that some people were total novices, some had a moderate level of understanding, some were more advanced.

“ And he quoted Kevin Pawl, senior director of patient access at Boston Children’s, as stating that “As we have grown over the years, our cost, volume and the variety of tasks that families are trying to accomplish over the phone have expanded, and even if we had all the physical space that we would like to have, is hiring fleets of people to man call centers the right decision?

The new NAII,” Leventhal noted, “is incorporating input from veterans and its partners across federal agencies, industry, nonprofits and academia, to prioritize and realize artificial intelligence (AI) research and development that is meaningful to veterans and the public, according to VA officials.  The institute is a joint initiative by the Office of Research and Development and the Office of the Secretary's Center for Strategic Partnerships in VA, and will design and collaborate on large-scale AI R&D initiatives, national AI policy, and partnerships across agencies, industries, and academia, officials noted.

VA executives pointed out that the department ‘is the largest integrated healthcare system in the country, has the largest genomic knowledge base in the world linked to healthcare information, and trains the largest number of nurses and doctors in the United States.’” And, the VA officials added, “Nearly three-quarters of all U.S. doctors receive training in VA.

Surveying the leaders of 57 organizations reporting KLAS-validated use cases across 11 categories, KLAS validated a total of more than 90 use cases in the following segments: population health, clinical decision support, clinical research, patient engagement, clinical education, value-based reimbursement, revenue cycle, financial health, waste/cost/fraud avoidance, employee experience and bed/patient and staffing management.

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