Healthcare Analytics, Population Health Management, Healthcare Big Data

IT Analytics Interviews

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...

Verma: CMS Will “Use Every Lever” for Promoting Interoperability, Data Access

by Jennifer Bresnick

The Centers for Medicare and Medicaid Services (CMS) is doubling down on its commitment to health data interoperability and ensuring that patients have comprehensive access to their own health data, said CMS Administrator Seema Verma in an ...“We’re ready to go the last mile when it comes to interoperability,” said Verma. “There has been a lot of work done in terms of making sure providers are using electronic health records, and that’s great.&rdquo...

Value-Based Care Requires Clear Analytics Goals, Scalable Health IT

by NextGen Healthcare

As the principles of value-based care become increasingly important for success in the healthcare delivery environment, provider organizations are facing some tough choices around how much financial risk they are prepared to take. A commitm...

How NPs, PAs Add Value to Population Health Management Teams

by Jennifer Bresnick

Nurse practitioners (NPs) and physician assistants (PAs) can offer vital support to organizations undergoing their value-based care transitions, especially as providers start to develop population health management teams.  With an expa...NPs differ slightly from their PA colleagues in that the educational program is based in a nursing model, Knestrick added, which lends itself well to the primary care environment. “Coming from a nursing model, holistic care, preventio...

Data Analytics, Agile Implementation Speed Healthcare Quality Improvement

by Jennifer Bresnick

The healthcare industry has been through numerous trials in recent years, from the financial and technical alterations brought by the Affordable Care Act and the HITECH Act to the rise of consumerism and the advent of the digital age. While...Coupled with the very real challenges of big data analytics and the financial pressures of population health management and value-based care, healthcare organizations are in dire need of new strategies to help them manage patients more effe...“It takes an average of seventeen years to implement only about 15 percent of evidence-based solutions in the healthcare industry,” Boustani noted.  “Seventeen years is far too long when you have patients’ lives in your hands.” “If you thin...Working in the safety-net environment can be a challenge, but it is also a prime opportunity to explore just how robust and durable a new strategy can be. “If you can make something like this happen in the safety-net world, you can probably...

Medical Imaging is Healthcare’s Artificial Intelligence Bellwether

by Jennifer Bresnick

The healthcare industry has innumerable opportunities to leverage artificial intelligence and machine learning in pursuit of more accurate, proactive, and comprehensive patient care.  From reducing administrative burdens to supporting ...“There are so many moving pieces when it comes to artificial intelligence,” said Keith Dreyer, DO, PhD, Chief Data Science Officer and Corporate Director of Enterprise Medical Imaging at Partners Healthcare.  “Imaging...“Our capabilities are growing exponentially, but so are our needs.  We’re moving from 2D data to 3D data in some cases, and everyone is using larger and more complex datasets.  One of the grand challenges is creating t...

AHA Precision Medicine Platform Offers Up Data for Machine Learning

by Jessica Kent

Precision medicine driven by machine learning offers the promise of tailored, individualized treatment, improved patient outcomes, and better overall population health. However, the promise of precision medicine is often overshadowed by the...AHA is partnering with the Duke Clinical Research Institute (DCRI) to develop and test machine learning methods on AHA’s cloud-based Precision Medicine Platform, which allows researchers from all over the world to collaborate and acce...

Real-Time Scheduling Data Helps BIDCO Manage Population Health

by Jennifer Bresnick

At Beth Israel Deaconess Care Organization (BIDCO), coordinating care and managing population health for the patients of more than 2500 affiliated providers comes with a number of organizational and technical challenges. More than 40 differ...In order to deliver coordinated, high-quality care across a relatively fragmented health IT landscape, BIDCO is leaning heavily on its analytics skills and big data assets, says Chief Information Officer Bill Gillis. Centralizing the data p...

The 7 Step Plan to Success with Big Data Analytics in Healthcare

by Jennifer Bresnick

The healthcare industry may be going through a seemingly endless period of flux, but there are a few unchanging truths about big data analytics that can help guide executive leaders through troubled times. Planning, preparation, and a firm ...The integrated delivery system, which includes eight hospitals in New Mexico, also serves about half a million Medicaid, commercial, and Medicare Advantage beneficiaries through its health plans. Integrating delivery and reimbursement at su...

Partners Sets the Tone for Artificial Intelligence in Healthcare

by Jennifer Bresnick

Despite the fact that the healthcare industry hit its EHR saturation point some time ago, providers and vendors are still eagerly engaged in dialogue about the utilization and continued optimization of health IT tools. But the topics of deb...

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