Rising healthcare costs in the U.S. threaten people’s access to treatment and services while reducing their ability to afford other necessities. Over the last decade, state policymakers across the political spectrum have responded to this urgent problem by passing legislation, setting up new government offices, and adding regulations to control healthcare spending.
One critical element of states’ maturing strategies for addressing healthcare costs is high quality, timely, and accessible data.
In the latest episode of Mathematica’s On the Evidence podcast, Jim Lloyd of the New Jersey Department of Health, Rachel Block of the Milbank Memorial Fund, and Julie Sonier of Mathematica discuss why rising healthcare costs present a complex and urgent issue, how states are responding, and the role of data in supporting solutions that address healthcare cost growth.
“We have this healthcare system with much higher costs than other countries around the world, but we also have less access,” Lloyd explains. “There's an opportunity to be able to identify those costs that are contributing to quality, identify those costs that aren't, and then increase access and increase quality, potentially without increasing costs.”
A blog summarizing the episode, with quotes from the guests and additional resources for further learning are available at https://mathematica.org/blogs/turning-data-into-solutions-for-reducing-healthcare-cost-growth-in-states
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Rising healthcare costs in the U.S. threaten people’s access to treatment and services while reducing their ability to afford other necessities. Over the last decade, state policymakers across the political spectrum have responded to this urgent problem by passing legislation, setting up new government offices, and adding regulations to control healthcare spending.
One critical element of states’ maturing strategies for addressing healthcare costs is high quality, timely, and accessible data.
In the latest episode of Mathematica’s On the Evidence podcast, Jim Lloyd of the New Jersey Department of Health, Rachel Block of the Milbank Memorial Fund, and Julie Sonier of Mathematica discuss why rising healthcare costs present a complex and urgent issue, how states are responding, and the role of data in supporting solutions that address healthcare cost growth.
“We have this healthcare system with much higher costs than other countries around the world, but we also have less access,” Lloyd explains. “There's an opportunity to be able to identify those costs that are contributing to quality, identify those costs that aren't, and then increase access and increase quality, potentially without increasing costs.”
A blog summarizing the episode, with quotes from the guests and additional resources for further learning are available at https://mathematica.org/blogs/turning-data-into-solutions-for-reducing-healthcare-cost-growth-in-states
128 | How Better Data Interoperability Can Improve Care Delivered To Patients
On the Evidence
48 minutes 25 seconds
1 year ago
128 | How Better Data Interoperability Can Improve Care Delivered To Patients
The latest episode of Mathematica’s On the Evidence podcast focuses on the potential for health data interoperability to improve people’s health and well-being. Improved data interoperability is part of a broader push in the public and private sectors to use digital technology to make greater volumes of data available faster, at lower cost, and in higher-quality formats. These advances would make data easier to access, especially when needed to prevent or address urgent problems. In health care, the digital transformation in data could keep people healthier by improving the speed and quality of care patients receive.
The episode features a discussion that originally aired as a webinar hosted by Mathematica’s Health Data Innovation Lab, which examined strategies and tools for achieving greater data interoperability. During the webinar, Mathematica’s Steve Linthicum moderated a conversation between Dr. Abel Kho of the Institute for Artificial Intelligence in Medicine at Northwestern University, Steven Gruner of HealthWare Systems, and Nicholai Mitchko of InterSystems.
A full transcript of the episode is available at https://www.mathematica.org/blogs/how-health-data-interoperability-can-improve-patient-care
Learn more about Mathematica’s Health Data Innovation Lab: https://www.mathematica.org/sites/health-data-innovation-lab
Watch the previous webinar hosted by Mathematica’s Health Data Innovation Lab on data governance: https://www.mathematica.org/blogs/event-takeaways-using-data-governance-to-improve-health-outcomes
Watch the previous webinar hosted by Mathematica’s Health Data Innovation Lab on artificial intelligence: https://www.mathematica.org/news/health-ai-event-recap-its-all-about-the-data
On the Evidence
Rising healthcare costs in the U.S. threaten people’s access to treatment and services while reducing their ability to afford other necessities. Over the last decade, state policymakers across the political spectrum have responded to this urgent problem by passing legislation, setting up new government offices, and adding regulations to control healthcare spending.
One critical element of states’ maturing strategies for addressing healthcare costs is high quality, timely, and accessible data.
In the latest episode of Mathematica’s On the Evidence podcast, Jim Lloyd of the New Jersey Department of Health, Rachel Block of the Milbank Memorial Fund, and Julie Sonier of Mathematica discuss why rising healthcare costs present a complex and urgent issue, how states are responding, and the role of data in supporting solutions that address healthcare cost growth.
“We have this healthcare system with much higher costs than other countries around the world, but we also have less access,” Lloyd explains. “There's an opportunity to be able to identify those costs that are contributing to quality, identify those costs that aren't, and then increase access and increase quality, potentially without increasing costs.”
A blog summarizing the episode, with quotes from the guests and additional resources for further learning are available at https://mathematica.org/blogs/turning-data-into-solutions-for-reducing-healthcare-cost-growth-in-states
