Senate Finance Committee hears testimony on health IT, quality of care, medical liability laws in preparation for major health system overhaul efforts next year

NewsGuard 100/100 Score

Lawmakers should not overstate the ability of health care information technology, quality improvement efforts and medical liability reform to reduce health care costs, Paul Ginsburg, president of the Center for Studying Health System Change, testified on Tuesday at a Senate Finance Committee hearing, CQ HealthBeat reports.

During the hearing, Ginsburg said that such proposals "have merit because they have the potential to improve the quality of care" but added that "it's questionable whether the ... impact on costs will be commensurate with the magnitude of the cost problem."

Elizabeth McGlynn, associate director of RAND Health, said that lawmakers should address the issue of health care quality, which she said varies nationwide, separate from the issue of costs. Felicia Fields, group vice president of Human Resource and Corporate Services for Ford Motor, said that lawmakers should seek to address the main causes of increased health care costs and that such an effort would help make health insurance more affordable. "Simply subsidizing excessive health care spending does not offer a long-term solution to our health care problems," and "it may exacerbate them," she said.

The hearing marked the second in a series that the committee plans to hold in preparation for a debate on health care reform legislation next year. Committee Chair Max Baucus (D-Mont.) said, "I hope and intend that we can seize the opportunity to achieve what previous Congresses and presidents were unable to do," adding, "We must find a way for all Americans to have access to affordable, high-quality health care" (Carey, CQ HealthBeat, 6/3).


Kaiser Health NewsThis article was reprinted from khn.org with permission from the Henry J. Kaiser Family Foundation. Kaiser Health News, an editorially independent news service, is a program of the Kaiser Family Foundation, a nonpartisan health care policy research organization unaffiliated with Kaiser Permanente.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
New machine learning model achieves breakthrough in heart disease prediction with over 95% accuracy