Perhaps the biggest change is still coming, as the industry shifts from fee-based models to value-based care, with reimbursement tied to quality metrics. To stay competitive, providers will need advanced analytics that can acquire, analyze, and make the most of that data.
With value-based care, healthcare providers want to find the patients at highest risk of hospital-acquired infections, falls, readmissions, and other issues, and put the most resources into helping those people and preventing those problems. The industry can’t provide that level of high-touch care to everyone, and stratifying patients helps hospitals decide where to focus the most resources.
Platforms that can support artificial intelligence, machine learning, and advanced big data solutions are the critical foundations that will help providers achieve this. With the right system, providers can lower costs and improve efficiency while improving patient care and preventing crises before they happen.
“The real benefit of predictive analytics is reaching the point where we can deliver the right care to the right patient at the right time and in the right place,” said Jennifer Esposito, Intel’s general manager for worldwide health and life sciences.
“A vast amount of untapped data exists in many different silos across healthcare, not to mention other data—from the home, the environment, fitness data, wealth data, et cetera—that can be combined with EMR data to really change the game,” said Esposito. “If we can unleash that data and create new insights, we stand a chance to improve care and enhance the patient and caregiver experience, and ultimately to benefit the entire population.”
Esposito’s team helps healthcare providers implement a variety of technology-driven solutions for healthcare, including predictive clinical analytics, and she’s seen what keeps organizations on track—and what can derail them. She outlines what providers need to consider when preparing for the paradigm shift to data-driven care.
"Before you start with any technology implementation, you first want to pull a multidisciplinary team together and determine the most beneficial use cases."
"I think form factor really does matter, and it’s imperative that we continue to work on enhancing the design of computing devices in a hospital, so that these are devices [people] want to use."
"We want as much data sharing as possible across health systems, and to help them get as much secondary use as possible out of their data for the populations that they serve."