Healthcare Analytics, Population Health Management, Healthcare Big Data

IT Analytics Interviews

Rucker: Without APIs, Artificial Intelligence Will Fail in Healthcare

by Jennifer Bresnick

As the healthcare industry looks just over the horizon to a busy, eventful, and competitive 2019, artificial intelligence tools are likely to take on an increasingly important role across the care continuum. Payers, providers, and health IT...

Blockchain Offers Promising Path to Better Provider Directory Data

by Jennifer Bresnick

As the volume of big data continues to increase exponentially and the pressure to reduce wasteful spending intensifies, healthcare organizations are broadening their search for secure and seamless data management strategies. More and more f...“We’re participating with the Alliance because the opportunity to share information securely and appropriately across the healthcare continuum is extremely important,” said Gerry Lewis, Senior Vice President and Chief Info...

Predicting Pressure Injuries with Machine Learning, EHR Data

by Jessica Kent

Fueled by EHR data, machine learning tools have shown potential in improving several areas of care delivery, including sepsis prediction, chronic disease management, and cancer detection. As providers increasingly experience financial press...“Pressure injuries are incredibly costly. AHRQ estimates that a single hospital-acquired pressure injury costs between $20,000 and $151,000 to treat,” Jenny Alderden, PhD, APRN, CCRN, CCNS, Assistant Professor at Boise State Uni...

Socioeconomic Data Will Play Key Role in Population Health for Minorities

by Jessica Kent

As the healthcare industry continues its slow and steady shift to holistic care, more organizations are beginning to understand that they must integrate socioeconomic data into their analytics and population health management initiatives. T...Failing to access this information, as well as other data about community-level challenges, can prevent providers from delivering meaningful care to minority patients, Amy M. Andrade, MS, assistant vice president of research at Meharry Medi...

Are Pending ONC Health Data Blocking Rules More or Less a Moot Point?

by Jennifer Bresnick

Any day now, the Office of the National Coordinator (ONC) will announce its proposed rule to combat the threat of data blocking – also known as information blocking – in accordance with Congressional directives within the 21st C...It’s a tall order for the regulatory agency, especially since officials more or less admitted in their bombshell 2015 report that anecdotes and hard-to-prove accusations comprised much of its evidence that information blocking even ex...

Learning Health Systems, Big Data Key to Improving Outcomes

by Jessica Kent

Healthcare organizations looking to quickly translate research into best practices for clinical care should focus on transforming themselves into learning health systems that rely heavily on insights from big data analytics, says Peter Embi...“The goal of the learning health system is to deliver better outcomes at lower costs, and to do that in a way that helps us improve the care we provide,” Embi told HealthITAnalytics.com. “With the advent of EHRs and health...

FHIR Takes Off as ONC Teases Upcoming Data Blocking Definitions

by Jennifer Bresnick

Healthcare organizations that have been looking for a way to spark widespread, seamless health data exchange may have finally found their fuel in FHIR. Adoption of the Fast Healthcare Interoperability Resources has spread like…well, ...Eighty-seven percent of hospitals and 69 percent of clinicians have adopted EHR and other health IT tools from vendors that incorporate FHIR into some aspect of their offerings, said Steven Posnack, MS, MHS, Director of the Office of Standa...“FHIR has become very popular very quickly,” he said. “In healthcare, you only get one chance to get it right, sometimes.  That’s even more true when you have so much attention and hype around a new technology.&...The ONC report also called out EHR vendors for requiring high data exchange fees and using convoluted contracting terms that created walled gardens and data siloes, leaving providers ill-equipped to participate in the burgeoning value-...The pending proposals around data blocking, health IT certification, and other Cures Act issues will be part of that ongoing effort, said Posnack, and all industry stakeholders are strongly encouraged to participate in the process of crafti...

Using Big Data, Machine Learning to Reduce Chronic Disease Spending

by Jessica Kent

Diabetes and heart disease are two of the most costly and prevalent chronic conditions impacting patients in the US, leading the healthcare industry to spend billions every year to treat and manage these disorders. As care delivery continue...“There is a lot of information about every one of us, in EHRs, in smart phones, in smart watches, and in other tracking devices,” Iaonnis Paschalidis, Professor of Engineering and Director of the Center for Information and Syste...

At Montefiore, Artificial Intelligence Becomes Key to Patient Care

by Jennifer Bresnick

Artificial intelligence (AI) is the newest must-have technology for healthcare organizations seeking to get ahead of costly and clinically dangerous patient care issues while also gaining a competitive edge over their peers. Interest from p...“Our strategy at Montefiore is to build a data-driven and evidence-based health system – essentially a learning healthcare system – that can understand its own population thoroughly, understand and improve its practices, a...Jennifer Esposito, General Manager of the Health and Life Sciences division of Intel’s Sales and Marketing Group, agrees that the right configuration of system memory and processing power is a core requirement for PALM’s success...

Providers Embrace Predictive Analytics for Clinical, Financial Benefits

by Jessica Kent

Predictive analytics have the potential to enhance care delivery, improve patient outcomes, and reduce care costs, enticing more healthcare executives to explore the implementation of data-driven tools.   According to a recent survey f...“Most executives are very interested in using predictive analytics tools to increase cost saving, improve patient satisfaction, and satisfy their staffing and workforce needs,” Lillian Dittrick, Fellow of the Society of Actuarie...

Schooling Docs in Population Health Requires Data, Aligned Incentives

by Jennifer Bresnick

One of the proudest moments in a physician’s life is when he or she crosses the stage to shake hands with faculty and receive the coveted MD degree.  The embossed leatherette folio represents the culmination of years of hard work...Dr. David B. Nash, Dean of the Jefferson College of Population Health, is a leading voice in the conversation about how to train providers to practice in a data-driven world while moving the industry further down the road of value-based car...

How CVS Specialty Pharmacy Manages Patients with Digital Engagement

by Jennifer Bresnick

Complex diseases, both chronic and acute, often require significant investments in time and money from the four P’s of healthcare – patients, providers, payers, and pharmacists – to manage in a cost-effective and coordinat...“Traditionally, the patient engagement component of specialty pharmacy has consisted of monthly or bi-monthly calls to remind consumers about refills and the like,” Singh explained to HealthITAnalytics.com. “But now that e...

US Digital Service Revamps CMS, QPP User Experience from the Inside Out

by Jennifer Bresnick

The notorious inefficiency of the federal government has long been a common complaint for citizens, businesses, and other entities attempting to acquire information, apply for programs, or receive acknowledgement for some achievement. Healt...Since the advent of the EHR Incentive Programs, participating healthcare providers have ramped up their interactions with CMS, especially in the digital environment.  CMS has made a concerted effort to shift reporting requirements to o...The API, released towards the end of 2016, plays a key role in submitting and interacting with QPP data.  Providers can submit their performance data electronically and receive real-time feedback on the information, including prelimina...“I know there’s a lot of debate about the value of claims data, but I truly believe claims can be unbelievably powerful if you combine them with the right analytics technology,” said Sartin.  “We have data on ab...

Can Big Data Solve the Health Insurance Transparency Problem?

by Jennifer Bresnick

Along with housing, food, and transportation, healthcare is one of the biggest monthly expenses for American families – and the specter of an unexpectedly high bill for a major illness or surgery haunts the tens of millions of individ...Unfortunately, neither payers nor healthcare providers are known for being particularly forthcoming about their pricing structures.  Chargemaster rates are typically jealously guarded secrets, and pricing negotiations are usually ...

Clinical Decision Support from Dana-Farber Powers Cancer Care

by Jessica Kent

Experts at Dana-Farber Cancer Institute are partnering with Royal Philips to provide improved clinical decision support for cancer care. The incredibly complex nature of cancer, coupled with its many available treatment options, has long ma...However, treating cancer is becoming increasingly difficult as oncologists must consider new data sources and information in order to find appropriate treatments for patients, says Dr. David Jackman, Medical Director for Clinical Pathways a...

Machine Learning, EHR Big Data Analytics Predict Sepsis

by Jessica Kent

Researchers at Carnegie Mellon University’s (CMU) Heinz College are applying a machine learning algorithm to big data in the electronic health record (EHR) to more accurately predict sepsis, one of the most dangerous and insidious hos...“Anybody can get sepsis from a multitude of infections, at different sites, and with different comorbid profiles.” Traditionally, providers identify high-risk sepsis patients by evaluating symptoms and medical histories. However...

Nurses Play a Critical Role in EHR Optimization, Data Governance

by Jennifer Bresnick

Most healthcare organizations have now celebrated at least a handful of anniversaries with their electronic health records, and are now coming to the realization that implementation was only the start of a long and often difficult optimizat...“Implementation is just the beginning,” she told HealthITAnalytics.com.  “It’s a journey that evolves over time as you become more sophisticated users of the system.  How you govern that journey is key for ...

Natural Language Processing, Voice Tools Offer Solutions to EHR Woes

by Jennifer Bresnick

Artificial intelligence and machine learning are relatively new additions to the tools and applications that now power a large portion of the healthcare industry, but some providers have been using aspects of these strategies for much longe...For many healthcare providers, including those practicing at Pennsylvania-based WellSpan Health, natural language processing tools can be a game changing option for interacting with the electronic health record. “Voice recognition can...

Predictive Analytics, Care Management Combine for Value-Based Care

by Jennifer Bresnick

Healthcare organizations shifting away from fee-for-service, encounter-based care models often find themselves adding traditionally non-billable services to their care management repertoires in an effort to get ahead of chronic diseases and...The challenge gets even more complicated when certain segments of the provider’s population are subject to risk-based arrangements and others are not.  Providers are moving slowly and carefully into the value-based environment, a...Congestive heart failure patients have seen similarly positive results.  Carelink helped bring about an 11.8 percent increase in CHF patients discharged to the home environment and a 13.9 percent reduction in unplanned 90-day readmissi...

Machine Learning Can Quiet “Building Crescendo” of EHR Dissatisfaction

by Jennifer Bresnick

The notion that electronic health records are difficult to work with and cumbersome to use has become a worryingly common theme across the healthcare industry.  Providers working in organizations of all sizes, settings, and specialties...“We now have a platform that is virtually all digital, and it is generating all sorts of valuable information for us that can be analyzed and leveraged in multiple ways,” said Black to HealthITAnalytics.com.  “Un...

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