System News
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Articles for the keywords: Health
18 May 2017 AI Works Better With Human Intelligence, Too [63477]
Information Week, May 18th 2017

"In healthcare, machine learning may yield fast, accurate insights. But humans are still better able to detect ridiculous anomalies and discover problems that machines have not yet learned to detect.

Artificial intelligence applied to the right tasks can reveal insights that wouldn't otherwise be surfaced, and do it faster thn manual human efforts. But there are still some tasks that humans perform better than machines. Eric Williams, VP of Data Science & Analytics at Omada Health provided a view into how his digital therapeutics company is combining AI with human intelligence to help pre-diabetic patients lose weight..."
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18 May 2017 Healthcare service provider EMIS Health deploys HPE Synergy to deliver applications quicker for the NHS [63546]
HPE, May 18th 2017

Composable infrastructure helps EMIS-hosted infrastructure teams provide new services rapidly do software developers

Connected healthcare technology is changing the way that medical care is delivered in the UK. The rate of change is increasing all of the time and physicians' needs are constantly changing. EMIS Health, the UK's leading provider of innovative healthcare technologies, must be poised to quickly act on these changes in order to deliver potentially life-saving healthcare services to physicians and their patients.
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17 May 2017 IBM and Rensselaer Team To Research Chronic Diseases With Cognitive Computing [63559]
IBM, May 17th 2017

IBM and Rensselaer Polytechnic Institute announced the creation of the new Center for Health Empowerment by Analytics, Learning, and Semantics (HEALS). Located on the Rensselaer campus, the HEALS center is a five-year collaborative research effort aimed at researching how the application of advanced cognitive computing capabilities can help people to understand and improve their own health conditions.

"This collaboration between Rensselaer and IBM, which combines our significant research strengths in cognitive computing, could generate insights which will aid clinicians with more effective treatments for individual patients and overall efficiencies in the health care system," said Shirley Ann Jackson, president of Rensselaer. "In this expansion of our long-standing research partnership with IBM, I am pleased that HEALS will advance preventive health care."
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16 May 2017 6 Security Measures You've Put Off Too Long [63470]
InfoWorld, May 16th 2017

"At last count, more than 200,000 victims in 150 countries have been hit with the weaponized WannaCry ransomware worm. In the United Kingdom, the National Health Service was hit hard by the worm, potentially threatening patients' lives.

Haven't we had enough? It's time to stop pretending that lukewarm, poorly executed security measures are really doing something about the problem. Good computer security solutions exist that will absolutely diminish cybercrime. We just have to recognize and apply them..."
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16 May 2017 IBM Watson Health and MAP Health Management Partner to Curb Incidence of Substance Abuse Relapse in the United States [63564]
IBM, May 16th 2017

MAP Health Management and IBM Watson Health announced a partnership that aims to address the pervasive problem of relapse among Americans suffering from Substance Use Disorder, a chronic disease. MAP will integrate Watson cognitive technologies into the MAP Recovery Network Platform to enhance the platform's existing capabilities around patient risk models. In doing so, it is anticipated that behavioral health and substance abuse treatment providers that use the MAP platform will be better able to predict and prevent incidence of relapse nationwide.

Addiction and substance abuse claim more than 125,0001 lives per year in the United States and result in economic costs of up to 7002 billion annually. More than 22.5 million Americans need help with a Substance Use Disorder and only 2.6 million Americans are receiving treatment3. Currently, many treatment programs do not provide sufficient support following acute treatment and lack a standardized means to collect data on long-term treatment program results4. MAP is helping to fill that gap, and believes that using near real-time data and technology will enable them to better understand which patients are at greatest risk of relapse.
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