News | April 25, 2007

Government Report: HHS Has No Way to Measure Collective Progress

April 26, 2007 - Rep. Bennie G. Thompson, (D-MS), Chairman of the Committee on Homeland Security, Ed Markey (D-MA) and other Members of the House and Senate released a report conducted by the Government Accountability Office (GAO) on Federal efforts to improve the state of the nation's public health and hospital emergency preparedness programs.

The GAO found that the Department of Health and Human Services (HHS) currently has no standards to "compare data across recipients to measure collective progress, compare progress across recipients' programs or provide consistent feedback to recipients."

While HHS acknowledges that work needs to be done to improve the grant process and plans to provide a snapshot of the progress recipients have made in building emergency readiness capacity by the end of 2007, there is little progress and the 2007 deadline remains tentative.

Chairman Thompson issued the following statement regarding the findings:

"This is an incredible indictment of the emergency preparedness programs that HHS administers. In the event of a catastrophe, most people will flood the public health system. This report indicates that currently we have no way of knowing which hospital is up to the task. It is critical to our security that our health systems have the tools they need to respond to any and all emergencies including bioterrorist events, natural disasters or an influenza pandemic. HHS is playing Russian Roulette with the health of the nation. When tragedy strikes people need to be able to rely on their government. We all deserve better."

For more information contact Dena Graziano or Todd Levett at (202) 225-9978.

Related Content

Atrium Health Debuts Amazon Alexa Skill to Help Patients Access Medical Care
News | Artificial Intelligence | April 18, 2019
Atrium Health patients will now be able to use Amazon’s electronic voice system Alexa to not only locate the nearest...
Oxipit Introduces Multilingual Support for ChestEye AI Imaging Suite
News | Artificial Intelligence | April 16, 2019
The CE-certified ChestEye artificial intelligence (AI) imaging suite by Oxipit is now available in seven European...
iCAD Appoints Stacey Stevens as President
News | Radiology Business | April 16, 2019
iCAD Inc. recently announced that Stacey Stevens has been named president. As president, Stevens will have expanded...
Radiology Publishes Roadmap for AI in Medical Imaging
News | Artificial Intelligence | April 16, 2019
In August 2018, a workshop was held at the National Institutes of Health (NIH) in Bethesda, Md., to explore the future...
Cambridge University Hospitals NHS Foundation Trust Implements Change Healthcare Enterprise Imaging
News | Enterprise Imaging | April 15, 2019
Change Healthcare successfully implemented its Radiology PACS (picture archiving and communication system), Image...
Sponsored Content | Videos | Information Technology | April 15, 2019
Vital Images has developed a strategy that allows its customers to capture revenues that are otherwise missed while b
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient.