RCM Has an Execution Problem, Not an Effort Problem
Organizations that focus on execution will reduce variability, improve cash flow, and build resilience against ongoing industry pressure. They will also be better positioned to int...
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Organizations that focus on execution will reduce variability, improve cash flow, and build resilience against ongoing industry pressure. They will also be better positioned to int...
In the not-too-far future, as envisioned by Sam Schwager, Co-Founder and CEO at SuperDial, most revenue cycle management (RCM) will be handled by an AI agent at the provider that c...
Artificial Intelligence is such a hot topic that it feels as though it continues to evolve and be applied in new ways and in new areas every single day. And in many ways, this evol...
New and expanded AI-native capabilities include automated insurance selection, AI copay, voice AI, express coding and more.
You don't have to overhaul everything to use AI in RCM. Here's how to get started.
EA Teams Are Spending Too Much Time on the Wrong Things Here's what we hear consistently from EA leaders: their teams are brilliant, strategic people who are stuck doing work that...
AI in Internal Auditing What quality professionals should prepare for in 2026 Mark Hembree Tue, 06/02/2026 - 12:03...
Elevation Point CEO Jim Dickson discusses how financial advisors should approach AI and the necessary steps to successful implementation.
AI hasn’t solved all the problems plaguing healthcare’s revenue cycle — but R1’s Lee Kupferman says that it is getting closer, one gray area at a time. The post What Is AI Getting...
AI and automation can streamline R&D work but cannot replace professional judgment or Circular 230 due diligence.
Air Canada found out the hard way. Here’s why naive RAG hallucinates even when the right document is sitting right there.Continue reading on AI Engineering Simplified »
How financial professionals and institutions can survive AI disruption in 2026 and beyond. AI disrup...
New AI functionality helps revenue cycle teams identify trends, determine root cause, develop AR strategies, and move insurance management work forward with greater speed and focus...
Introduction Spanning from credit decisions, fraud detection, customer service, to risk management, banks and other regulated entities in India have gradually shifted their relianc...
By Kevin Rutter, CEO, AIQ Markets. AI is rapidly becoming part of the buy-side technology stack. But before a portfolio manager can act on a recommendation or a trader can execute...
AI severs confidence from correctness. Finding the areas that require scrutiny is much harder precisely because the output looks excellent everywhere.
AKASA focuses on the revenue cycle and on improving billing so that hospitals are fully paid for their services. Although the company has been doing this for quite a while before g...
By adopting interpretation-driven, clinically intelligent technologies, revenue cycle teams can ensure that every nuance of care is accurately represented. This safeguards revenue...
Operators can switch on Ericsson’s AI models on existing AI-ready hardware In sum – what we know: Ericsson has launched a new software suite it calls “AI in RAN,” a subscription pa...
The AMA adopted new AI policies in a bid to ensure that the technology supports evidence-based medicine, bolsters patient care and serves under a physician’s oversight, instead of...
When artificial intelligence enters the conversation in quality and continuous improvement (CI) circles, reactions tend to fall at two extremes.
Key Takeaways: AI governance in manufacturing is an operational and regulatory imperative. With a rapidly shifting technological and regulatory landscape, manufacturers deploying...
Sami Komulainen, Elisa’s chief operating officer, told RCR that the operator has created a digital twin of its network and deployed agentic AI that operates alongside human enginee...
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