Zynx Health debuts machine learning system, talks outcomes at HIMSS19

By Anonymous

Zynx Health has debuted at HIMSS19 a new clinical decision support system that is designed to help provider organizations answer questions important to them about the right care and the right charges.

The system leverages the vendor’s machine learning engine to offer an interactive retrospective analysis of order utilization, matched up against the evidence-based interventions proven to affect quality outcomes, said Jim Connolly, senior vice president of product development and technology at Zynx Health.

Physician engagement

“Additionally, it promotes physician engagement by helping them operate at the top of their licenses with individualized messaging about the latest evidence relevant to their practice,” he added. “Lastly, it ensures that the care provided is accurately reflected in the Charge Description Master and on the patients’ claims.”

This system is trending toward more specific, actionable, data-driven clinical decision support to improve patient care, Connolly said. The foundation of the system is the Zynx content, evidence-based clinical decision support.

“For hospital leaders, our solution provides visibility into the evidence-based orders that are being used, delivers actionable insights to hospital leaders about which providers are adhering to the standard of care, and engages clinicians in a meaningful way with targeted messages that guide patient care,” he explained.

“It further identifies revenue opportunities resulting from overutilization or underutilization of care and also aligns the charges captured to the care provided.”

Trends at HIMSS19

This week at HIMSS19, Zynx Health will be focusing on a variety of themes and trends, including preventing unwarranted care variation and the desire to improve patient outcomes.

“This is understandable since clinical variation and lack of adherence to an organization’s standard of care is shown to negatively impact patient outcomes while creating inefficiency in downstream systems,” Connolly said. “Poor patient outcomes have been shown to impact a hospital’s reputation, revenue and reimbursement.”

Trends in health IT such as analytics and clinical optimization are being driven by the shift from a pay-for-procedure to pay-for-performance landscape within an environment where the lack of system interoperability remains problematic, Connolly added.

Zynx Health debuts machine learning system, talks outcomes at HIMSS19

"It’s vital that healthcare staff are empowered to make decisions based on the best clinical evidence available."

Jim Connolly, Zynx Health

“As such, it’s vital that healthcare staff are empowered to make decisions based on the best clinical evidence available, that hospital leaders have timely visibility into the specific and recurring patterns where deviations occur, and that organizations have confidence that the care being provided is also appropriately reflected on the Charge Description Master and patients’ claims,” he said. “The organization’s bottom line depends on it. CIOs are painfully aware of this.”

Talking with CIOs

Zynx Health executives will be talking with a lot of healthcare CIOs at HIMSS19. And they have advice top share with them.

“CIOs need to invest in solutions that will synthesize analytics in a clinically meaningful way so they can empower the rest of the organization to do what is best for their patients,” Connolly advised. “Are your patients consistently receiving care based on best practices? Are there instances of care under-utilization or overutilization? Do patient claims accurately reflect the care provided and services rendered? What solution are you using to ensure that these variables are being properly managed?”

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