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Category: Data Analytics


Data Analytics, Information Management, Innovation, Med Tech

7 ways AI could make an impact on medical care

July 17, 2019

Via: Health Data Management

Artificial intelligence soon will start having an immense impact on the medical field, according to a report from the Medical Group Management Association, which represents the nation’s group practices. AI can identify complex issues and read through large data sets. […]


Data Analytics, Information Management

AI presents host of ethical challenges for healthcare

June 27, 2019

Via: Health Data Management

While artificial intelligence has tremendous potential for revolutionizing healthcare delivery, there are many possible pitfalls and ill-intended uses of this powerful technology. That’s the contention of Georgia Tourassi, director of the Health Data Sciences Institute at the Department of Energy’s […]


Data Analytics, Information Management

12 ways AI will revolutionize healthcare in the next year

May 13, 2019

Via: Health Data Management

Expectations are high for the impact that artificial intelligence can play in healthcare, but most experts admit that the industry is still early in the process of researching one-off uses for AI in healthcare settings. Still, many predict that many […]


Data Analytics, Information Management

Analytics touted as solution for achieving value-based care

May 6, 2019

Via: Health Data Management

Three healthcare organizations and a consultancy have teamed to offer a platform designed to help providers better understand how they are performing against their care delivery and cost goals. The Analytics for Risk Contracting (ARC) software, which leverages proprietary algorithms […]


Data Analytics, Information Management

5 Reasons Why Doctors Should Learn Data Science

May 1, 2019

Via: Forbes

Data science and artificial intelligence are no longer buzz words in the biomedical research community. Physicians and other caregivers are increasingly being encouraged by hospitals and health insurance companies to utilize low-resolution dense biometric data captured using wearable medical devices. […]


Data Analytics, EHR & EMR, Information Management

Study: Data standardization improves patient matching

April 26, 2019

Via: Health Data Management

Standardizing address information and last names could help to link patient health records by as much as 8 percent in the United States. Such relatively simple standardization efforts could result in more than 2 billion additional records matched to patients, […]


Data Analytics, Information Management, Regulatory

Prospects rise for regulation in insurance analytics

April 18, 2019

Via: Health Data Management

(Bloomberg Opinion) — A backlash against big tech has sent lawmakers all over the world scrambling for ways to restrain the influence of computers over daily life. Now, Congressional Democrats are offering up an Algorithmic Accountability Act of 2019, an […]


Data Analytics, Information Management

12 healthcare areas where AI will result in near-term breakthroughs

April 15, 2019

Via: Health Data Management

Faculty members of Partners HealthCare have ranked artificial intelligence-enabled technologies that will have the greatest impact on medicine in the next 12 months. The Boston-based health system announced the 2019 “Disruptive Dozen” AI technologies last week during a panel session […]


Data Analytics, Information Management

Families In Washington to Protect Themselves From Measles Outbreak

March 11, 2019

Via: HITECH Answers

The 21st Century Cures Act emphasizes that citizens need access to their healthcare data to empower them to make better decisions about their health and healthcare. The proposed rules recently published by the Centers for Medicare and Medicaid Services (CMS) […]


Data Analytics, Information Management

Lack of AI regulatory, clinical standards pose potential risks

February 22, 2019

Via: Health Data Management

While artificial intelligence promises to create actionable insights for clinicians to make better care decisions for patients, the regulations and standards for evaluating AI-based algorithms are lacking. That’s the contention of Ravi Parikh, MD, a fellow in hematology and oncology […]


Data Analytics, Information Management

More employers consider integrated healthcare benefits

February 21, 2019

Via: Health Data Management

A growing trend among employers is integrating workers’ healthcare benefits, in an effort to achieve better health outcomes. Such integration also enables insurers to better use claims data and analytics to individualize care, improve patient experience and lower overall healthcare […]


Data Analytics, Information Management

Tech companies see health data as a huge opportunity, but people don’t trust them

February 13, 2019

Via: CNBC

The average American would rather share their health data with pharmaceutical companies, health insurers and the government than with tech companies like Amazon and Facebook. That’s according to the latest results of a new survey of 4,000 diverse participants from […]


Data Analytics, Information Management

7 Healthcare Predictions Based On Data From 5 Million Forbes Readers

February 11, 2019

Via: Forbes

In July 2013, I signed on to become a Forbes contributor, wanting to teach doctors, politicians and anyone with an internet connection how to fix healthcare. After 170 articles, which have been read over 5 million times, I’ve learned at […]


Data Analytics, Information Management

Using artificial intelligence to adjust chemotherapy dosages

February 4, 2019

Via: The Medical News

Using artificial intelligence as a tool to help prescribe treatment Using electronic patients’ data from Stanford University Hospital, the team of researchers was able to identify those who required a lower dose than the standard one for certain drugs, even […]


Data Analytics, Information Management, Innovation, Med Tech

Machine learning helps to identify early signs of Alzheimer’s

January 30, 2019

Via: Health Data Management

Researchers at the University of Southern California have discovered “hidden” indicators of Alzheimer’s in medical data that could result in earlier diagnosis of the disease and better prognosis for patients. Using machine learning, USC researchers identified potential blood-based markers of […]