When revenue cycle partners wait to be asked, or rely on “tell us what you need” as a default, they miss critical opportunities to deliver meaningful performance, support their client organizations, and ultimately serve patients better. In today’s healthcare environment, partnership requires anticipation, not reaction.
Adonis raised a $40 million Series C funding round to help hospitals use AI to tackle denied and underpaid claims. Its platform automates manual revenue cycle tasks and provides real-time insights, which allows staff to focus on higher-value work. Customers include Mount Sinai Health System, Baptist Health South Florida, AdventHealth and ApolloMD.
By reducing administrative burden and redesigning workflows around human needs, it creates space for what matters most: connection between clinicians and patients.
As we see companies release more solutions targeting the revenue cycle, it’s time to distinguish excitement from impact.
Data is not optional; it is essential to financial stability and strategic growth. The organizations that thrive will be those that use data to lead, not follow.
Some hospitals are turning to AI to help manage declining revenue and financial pressure, but one expert says success depends on more than just buying new tech. Prashant Karamchandani of Chartis urges health systems to pair AI adoption with foundational work like change management, continuous improvement and operating model redesign.
As healthcare leaders look for the low-hanging fruit for AI and automation investments in the revenue cycle, there are three things that should be considered to achieve maximum impact on labor effectiveness.
MedCity News was at the Vive conference and spoke with executives who shared their insights for the healthcare industry.
Whether trying to see more patients, retain more staff, expand the organization’s technology stack or bring more dollars in the door, it’s not uncommon for professionals to want to maximize their resources amidst a market influx.
As our industry continues its path toward value-based care, evolving payer models, and increasingly stringent regulations, revenue cycle processes will become even more complex. Providers can prepare by following these steps.
We know from everyday purchasing of goods and services that you have to combine what you’re getting with what you’re paying for that good or service. But how does this basic consumer supplier concept play out in US healthcare?
Hospitals are facing increasingly burdensome policies from commercial insurers, leading to problems with cash flow and patient safety. Hospital executives think federal regulators need to enact stricter policies that require payers to operate on faster timelines, as well as provide more transparency into their reasons for denying claims.
Small practices play a critical role in healthcare delivery, but they cannot continue to absorb ever-increasing administrative demands without consequences.
In an age where consumers have more options than ever about where to receive their care, improving the financial experience through embedded finance can give providers an advantage in an increasingly competitive marketplace.
While hospitals have contingency plans for events like power outages and extreme weather — backup generators, secondary chillers, and fiber for internet coverage — they can typically neglect vulnerabilities in the revenue cycle. Here are five proactive measures for hospitals and revenue cycle management/clearing house partners.
SmarterDx — an AI startup that provides clinical review and quality audits for medical claims — closed a $50 million Series B funding round, bringing its total funding to date to $71 million.
A health system's failure to offer patients with digital payment options could lead to slower collection times, create a disjointed patient financial experience, and result in decreased patient satisfaction and loyalty. At HIMSS23, Atrium Health's vice president of revenue cycle management shared how his system integrated payment into its digital front door and gave pointers to hospitals looking to do the same.
An intelligent authorization platform relies on AI and machine learning to extract patient-specific data from a number of sources including the EHR. This helps health plans better anticipate, manage and optimize member outcomes.