Pete McCanna argues that most health systems are built to fill capacity instead of creating value for patients and is overhauling Baylor Scott & White around “customers” rather than “patients.” He outlines how loyalty-driven, sometimes loss-leading services, AI-powered differentiation, and rewritten healthcare laws fit into a model that prioritizes access, personalization, and long-term trust over short-term profit.

This article profiles eight healthcare services companies using AI across their care stacks to cut costs, speed up treatment, and boost patient engagement. From smarter caregiver scheduling at Honor to AI-driven patient outreach at Cityblock, each example shows measurable improvements in outcomes, efficiency, or retention. The piece argues that service-focused models with embedded AI have a durable edge over pure software plays.

This article highlights the legal risks of Pharmacy Benefit Manager (PBM) contracts for employers due to new fiduciary duties. It introduces RootTrust, a platform that analyzes these contracts, providing clarity and compliance to protect companies from financial and legal pitfalls.

The article discusses the importance of data activation in enhancing the performance of large language models (LLMs), particularly in the healthcare sector. It highlights recent advancements in transforming structured medical data into usable formats for LLMs, emphasizing the need for effective reasoning methods to fully leverage the potential of healthcare data.

Many users are unaware that conversations with consumer AI about health issues lack legal protections, unlike communications with licensed healthcare providers. This article highlights the risks of disclosing personal health information to AI, which can be subpoenaed in legal situations, exposing users to potential misuse of their private data. It emphasizes the importance of understanding what privileges are lost when opting for AI assistance over traditional healthcare communications.

Multimodal vector databases like ApertureDB are revolutionizing how industries manage and verify data, particularly in healthcare advertising. By integrating various data types and employing AI tools, these databases enhance compliance by detecting omissions in marketing content, ensuring that critical information is accurately conveyed to patients.

The article discusses the challenges and stagnation in healthcare AI, highlighting that the industry is significantly behind other sectors despite advancements in technology. It also emphasizes the need for transparency and innovation in healthcare, mentioning ongoing investigations into unethical practices by certain organizations.