HHS 5-Year Health Data Strategy Prioritizes 'Responsible' AI – BankInfoSecurity.com
Artificial Intelligence & Machine Learning , Next-Generation Technologies & Secure Development
The Biden administration is heavily counting on “responsibly” leveraging AI as part of a strategy that aims to harness data to enhance the health and wellness of Americans. That includes ambitions to drastically improve cancer care and reduce cancer deaths, among other top goals.
See Also: Generative AI Survey Result Analysis: Google Cloud
The five-year data strategy from the U.S. Department of Health and Human Services supports the Biden Cancer Moonshot initiative – which aims to cut the cancer death rate of Americans in half over the next 25 years. The moonshot initiative was first launched while Biden was vice president during the Obama administration (see: 21st Century Cures Act Awaits President’s Signature).
Another critical top goal is improving HHS’ preparedness and incident response for situations ranging from severe respiratory illnesses to natural disasters.
Overall, HHS said its data strategy is built around five top data priorities to improve departmentwide data capabilities and infrastructure.
Other priorities are cultivating data talent within HHS, fostering data sharing, integrating administrative data into program operations and using data to establish “a whole-person and whole-family view” of wellness and health needs of Americans.
“By harnessing the power of information and leveraging recent technological advancements, we’re better equipped to meet the evolving needs of the people and communities we serve,” said Andrea Palm, HHS deputy secretary.
The department has already embraced AI for uses such as research and discovery in pharmaceuticals, medical care delivery and public health, but “2023 represents a historically unique moment, calling for leadership in AI,” the strategy said. A convergence of factors, including growth in cloud computing infrastructures, new technologies and pandemic investment has accelerated the path to widespread adoption, HHS said.
“AI offers the opportunity to rapidly advance scientific discovery, such as the creation of novel vaccines and therapeutics through new chemical formulations or expedited clinical trials by identifying right populations and running synthetic trials on pre-existing compounds,” HHS wrote.
AI in healthcare also has the potential to dramatically drive efficiencies, especially in administrative processes, and improve clinical decision support, among other benefits.
“However, AI also presents significant risks – including discrimination, bias, fraud, disinformation, cybersecurity, biosecurity, privacy, and inappropriate uses – that must be thoughtfully addressed to ensure that we are able to reap the benefits of these new technologies and not stifle innovation, while also protecting our core values,” HHS wrote.
The document pledges to establish an AI Task Force responsible for creating policies and frameworks on responsible use of AI in the health sector and tap HHS funding to advance responsible use of AI.
Separately this week, HHS’ Office of the National Coordinator for Health IT emphasized AI in a final rule related to health data interoperability and the agency’s latest iteration of its health IT certification program.
HHS ONC said the new health IT regulations establish “first of its kind transparency requirements” for AI and other predictive algorithms that are part of certified health IT.
On Thursday the White House announced that two dozen healthcare organizations pledged to deploy AI responsibly in a bid to improve health outcomes for Americans while protecting their security and shielding patients against bias (see: White House Obtains Safe AI Pledges From 28 Healthcare Firms).
Many healthcare industry experts are also carefully but optimistically anticipating how the evolving use of AI in medicine can advance clinical discoveries, care and outcomes for patients, as well as streamline administrative processes.
“There is a lot of low-hanging fruit” that medical institutions can currently tap for applying AI to make improvements on both the clinical and administrative sides, said Nawar Shara, director of the health research institute at MedStar, a large healthcare provider in the Washington, D.C. area, during an AI conference this week hosted by the World Bank and Georgetown University (see: Addressing Privacy and Data-Sharing Hurdles in Healthcare AI).
Executive Editor, HealthcareInfoSecurity, ISMG
McGee is executive editor of Information Security Media Group’s HealthcareInfoSecurity.com media site. She has about 30 years of IT journalism experience, with a focus on healthcare information technology issues for more than 15 years. Before joining ISMG in 2012, she was a reporter at InformationWeek magazine and news site and played a lead role in the launch of InformationWeek’s healthcare IT media site.
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The Biden administration is heavily counting on “responsibly” leveraging AI as part of a strategy that aims to harness data to enhance the health and wellness of Americans. That includes ambitions to drastically improve cancer care and reduce cancer deaths, among other top goals.
See Also: Generative AI Survey Result Analysis: Google Cloud
The five-year data strategy from the U.S. Department of Health and Human Services supports the Biden Cancer Moonshot initiative – which aims to cut the cancer death rate of Americans in half over the next 25 years. The moonshot initiative was first launched while Biden was vice president during the Obama administration (see: 21st Century Cures Act Awaits President’s Signature).
Another critical top goal is improving HHS’ preparedness and incident response for situations ranging from severe respiratory illnesses to natural disasters.
Overall, HHS said its data strategy is built around five top data priorities to improve departmentwide data capabilities and infrastructure.
Other priorities are cultivating data talent within HHS, fostering data sharing, integrating administrative data into program operations and using data to establish “a whole-person and whole-family view” of wellness and health needs of Americans.
“By harnessing the power of information and leveraging recent technological advancements, we’re better equipped to meet the evolving needs of the people and communities we serve,” said Andrea Palm, HHS deputy secretary.
The department has already embraced AI for uses such as research and discovery in pharmaceuticals, medical care delivery and public health, but “2023 represents a historically unique moment, calling for leadership in AI,” the strategy said. A convergence of factors, including growth in cloud computing infrastructures, new technologies and pandemic investment has accelerated the path to widespread adoption, HHS said.
“AI offers the opportunity to rapidly advance scientific discovery, such as the creation of novel vaccines and therapeutics through new chemical formulations or expedited clinical trials by identifying right populations and running synthetic trials on pre-existing compounds,” HHS wrote.
AI in healthcare also has the potential to dramatically drive efficiencies, especially in administrative processes, and improve clinical decision support, among other benefits.
“However, AI also presents significant risks – including discrimination, bias, fraud, disinformation, cybersecurity, biosecurity, privacy, and inappropriate uses – that must be thoughtfully addressed to ensure that we are able to reap the benefits of these new technologies and not stifle innovation, while also protecting our core values,” HHS wrote.
The document pledges to establish an AI Task Force responsible for creating policies and frameworks on responsible use of AI in the health sector and tap HHS funding to advance responsible use of AI.
Separately this week, HHS’ Office of the National Coordinator for Health IT emphasized AI in a final rule related to health data interoperability and the agency’s latest iteration of its health IT certification program.
HHS ONC said the new health IT regulations establish “first of its kind transparency requirements” for AI and other predictive algorithms that are part of certified health IT.
On Thursday the White House announced that two dozen healthcare organizations pledged to deploy AI responsibly in a bid to improve health outcomes for Americans while protecting their security and shielding patients against bias (see: White House Obtains Safe AI Pledges From 28 Healthcare Firms).
Many healthcare industry experts are also carefully but optimistically anticipating how the evolving use of AI in medicine can advance clinical discoveries, care and outcomes for patients, as well as streamline administrative processes.
“There is a lot of low-hanging fruit” that medical institutions can currently tap for applying AI to make improvements on both the clinical and administrative sides, said Nawar Shara, director of the health research institute at MedStar, a large healthcare provider in the Washington, D.C. area, during an AI conference this week hosted by the World Bank and Georgetown University (see: Addressing Privacy and Data-Sharing Hurdles in Healthcare AI).
Executive Editor, HealthcareInfoSecurity, ISMG
McGee is executive editor of Information Security Media Group’s HealthcareInfoSecurity.com media site. She has about 30 years of IT journalism experience, with a focus on healthcare information technology issues for more than 15 years. Before joining ISMG in 2012, she was a reporter at InformationWeek magazine and news site and played a lead role in the launch of InformationWeek’s healthcare IT media site.
Covering topics in risk management, compliance, fraud, and information security.
By submitting this form you agree to our Privacy & GDPR Statement
whitepaper
whitepaper
whitepaper
whitepaper
whitepaper
Blockchain & Cryptocurrency
Critical Infrastructure Security
Governance & Risk Management
Artificial Intelligence & Machine Learning
Artificial Intelligence & Machine Learning
Continue »
90 minutes · Premium OnDemand
Overview
From heightened risks to increased regulations, senior leaders at all levels are pressured to improve their organizations’ risk management capabilities. But no one is showing them how – until now.
Learn the fundamentals of developing a risk management program from the man who wrote the book on the topic: Ron Ross, computer scientist for the National Institute of Standards and Technology. In an exclusive presentation, Ross, lead author of NIST Special Publication 800-37 – the bible of risk assessment and management – will share his unique insights on how to:
Sr. Computer Scientist & Information Security Researcher, National Institute of Standards and Technology (NIST)
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HHS 5-Year Health Data Strategy Prioritizes 'Responsible' AI
HHS 5-Year Health Data Strategy Prioritizes 'Responsible' AI
Just to prove you are a human, please solve the equation:
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This article was autogenerated from a news feed from CDO TIMES selected high quality news and research sources. There was no editorial review conducted beyond that by CDO TIMES staff. Need help with any of the topics in our articles? Schedule your free CDO TIMES Tech Navigator call today to stay ahead of the curve and gain insider advantages to propel your business!
