Healthcare Analytics, Population Health Management, Healthcare Big Data

IT Analytics Interviews

Collaboration, Clinical Input Drive Analytics Innovation at UCHealth

by Jennifer Bresnick

As the healthcare industry comes to grips with the scale of disruption it will be facing over the next few years, a handful of forward-thinking organizations are aiming to lead the change instead of being swept along in its wake. UCHealth, ...“We’re fairly certain that if we identify a pain point in healthcare, we’re not the only ones who are experiencing it,” said Zane, who is the Chief Innovation Officer at UCHealth and a practicing emergency medicine p...

New Project Puts an Actuarial Eye on Big Data, Healthcare Costs

by Jessica Kent

Healthcare costs in the US are on the rise, with the industry spending billions each year to combat chronic disease, manage administrative tasks, and advance medical treatments. Although organizations have increasingly sought to improve car...Last year, the organizations gathered a group of key stakeholders, including hospital administrators, employee benefits experts, and healthcare economists, for the inaugural event of Initiative 18/11. “In March 2018, we brought togeth...

NorthShore to Add Genomic Data to Primary Care for 10K Patients

by Jennifer Bresnick

Illinois-based NorthShore University HealthSystem is partnering with Color to bring genomic data into the decision-making process for primary care. The DNA10K initiative will engage more than 10,000 patients to integrate genomic testing res...The company, which has focused its core competencies on cancer genes, is also participating in the NIH All of Us research program as the co-leader of one of three Program Genome Centers to support the nationwide effort to improve precision ...

Cerner Offers New Clinical Decision Support Toolkit for Opioid Safety

by Jennifer Bresnick

In 2016, just under 50,000 people died of an opioid-related overdose. Illegal substances such as heroin and fentanyl have taken an increasingly heavy toll on public health since the middle of the decade. But the National Institutes of Healt...But when prescription pain killers are called for, providers are in need of data-driven tools and predictive analytics that can guide their decision making, alert them to potential risks, and foster meaningful discussions about care with pa...

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...

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