One of the biggest obstacles to data interoperability is the slow and piecemeal progress of healthcare organizations (HCOs) towards digitalization. While the benefits of digitalization are clear; improved efficiency, reliability of data, and enhanced communication, just to name a few; the critical (and most challenging) piece of the puzzle, is being able to share critical patient data between systems in a way that makes it easily accessible - while still retaining the security of sensitive
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Health IT & Digital Health-Opinion | Op-Eds | Guest Columns | Analysis, Insights - HIT Consultant
National Health IT Week: Embracing Non-Clinical Data Insights for Improved Patient Care
There’s a crispness in the air that marks fall’s arrival. But autumn’s appearance isn’t the only thing on calendars across the U.S. this week: September 23-27 marks National Health IT Week. The 2019 theme focuses on supporting healthy communities, and what better way to support communities than to learn more about the people in them?
Decision-makers who analyze healthcare data have a habit of focusing on numbers, pouring over pages of claims and diagnostic codes. Yet disease diagnoses are often
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AI in Healthcare Is Exciting, However, It Is No Reason to Overpay For It
Eventually, many conversations about artificial intelligence (AI) include HAL.
An acronym for Heuristically programmed ALgorithmic computer, HAL played a prominent and disconcerting role in Stanley Kubrick’s mind-bending 1968 film 2001: A Space Odyssey. In the film, sentient computer HAL learns that the humans suspect it of being in error and will disconnect it should that error be confirmed. Of course, HAL is having none of that, and terror ensues.
So influential was
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4 Ways to Improve Mental Health Through Digital Health
Mental health care is undoubtedly one of the most pressing challenges that our national health system faces. Years of insufficient payment, infrastructure erosion, provider deficits, and stigma have created a fragmented patchwork of weak, under-coordinated and under-reimbursed treatment capabilities. Meanwhile, communities face an expanding crisis:
- 44.7 million American adults – including 10 million adults covered by Medicaid – experienced a mental health illness as of 2016, a number that is
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3 Ways AI and Machine Learning Are Reshaping Medical Records
Since at least 2012, the world of medical records in both the public and private sectors remains dominated by a push toward interoperable data, and more broadly useful health data. Like everything else in American healthcare, the effort has been only moderately successful despite a price tag in the billions. In a modern digital world, where technologies in so many industries are bringing better insights and next generation efficiency – driven by cloud computing, big data, AI and machine learning
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Ensuring A Healthy Approach to Big Data In The Life Sciences Industry
The old adage “knowledge is power” may seem cliched, but it definitely still rings true in the life sciences industry. In fact, maybe more so than in any other industry, healthcare insights are being driven by a vast array of critically important data from scientific research, clinical trials, and patient profiling. Teams are continually asked to identify, prioritize and develop promising therapies which are not only safe but innovative, effective and based on the latest research.
To achieve
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Why Medicare Advantage Will Lead the Way on Healthcare Consumerism
For years, the healthcare industry has been abuzz with the concept of “consumerism” and the potential implications to insurance companies, providers and patients. Stakeholders from across the industry have opined on what it means create a healthcare system more focused on consumers, often with little impact to actual consumer experience or outcomes.
One spot of genuinely consumer-centric innovation and execution is in the Medicare Advantage (MA) space, where select health plans can offer
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4 Steps Healthcare Organizations Need to Take to Automate Their Data
According to IDC, all the data that’s being created and captured in healthcare is projected to grow by 36 percent (CAGR)—more than any other industry.
While managing growing volumes of data is a common challenge for many organizations across all sectors, healthcare is uniquely set apart by the sheer number of new data sources that’s being made available—with new sources being added all the time. This is driven in large part by advancements in telemedicine, personalized or precision medicine, as
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Why the Healthcare CIO Holds the Greatest Potential for Change
Consumers expect every brand interaction they have, whether at the doctor’s office or with their health insurer, to mirror the ones they have with companies like Amazon and Google: personalized, connected, and convenient. The healthcare industry, however, isn’t nearly ready to deliver on these connected experiences — not while data remains siloed across departments and organizations.
The need for interoperability — getting discrete systems and software applications to connect, exchange, and
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4 Areas Where Big Data is Transforming Healthcare Right Now
Leveraging technology in the right ways can make or break the future of healthcare. One of the ways that healthcare will become more efficient, more affordable, and save more lives is through the use of big data.
What is Big Data?
Big data refers to a large amount of information being digitized, consolidated, standardized, analyzed and modeled. In healthcare, big data uses specific statistics from a population or an individual to research new advancements, reduce costs, and even cure or prevent
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