MedCity: AI must simplify care navigation
- MedCity News published a May 2026 commentary arguing healthcare AI should focus less on adding intelligence and more on reducing patient navigation burdens. - Mike Barton wrote that AI could become healthcare’s “front door,” but warned millions of patients still face fragmented, inaccessible pathways across care. - The MedCity article is available on the outlet’s May 2026 AI coverage pages, alongside related pieces on workflow automation and patient access.
MedCity News’ argument is straightforward: healthcare does not only need AI that helps clinicians think faster; it needs AI that helps patients get through the system. The piece says the biggest unmet opportunity is not another diagnostic layer but simpler movement across doctors, pharmacies, insurers and approvals. That framing puts administrative friction — not just clinical decision support — at the center of the next phase of healthcare AI. MedCity’s broader May coverage shows that emphasis is not isolated to one article. A May 24 MedCity commentary by Mike Barton said large technology companies are positioning AI as a new “front door to care,” while warning that access barriers remain when tools are not built around real patient needs. Barton wrote that conversational interfaces can reduce barriers only if accessibility is treated as a core design requirement. (medcitynews.com) ### Why does care navigation matter more than another AI demo? U.S. healthcare already has no shortage of handoffs. Patients often move from primary care to specialists, then to labs, imaging centers, pharmacies and insurers, with each step carrying its own forms, portals and approval rules. MedCity’s argument is that AI has more practical value when it removes those breaks in the journey than when it simply adds another layer of analysis on top of them. (medcitynews.com) A 2024 MedCity contributor article cited patients spending an average of eight hours a month managing healthcare and waiting 26 days to see a new doctor in many large cities. Those figures were used there to illustrate how scheduling, payment and coordination delays shape the patient experience before treatment even begins. (medcitynews.com) ### Which bottlenecks are the clearest targets for AI? Prior authorization is one of the clearest examples. A November 2025 MedCity article on patient access said manual prior-authorization processes continue to weigh heavily across the healthcare system, creating delays and confusion for patients while straining staff. That article also pointed to the CMS Interoperability and Prior Authorization Rule and state-level pressure for faster decisions as reasons providers are reworking access programs. (medcitynews.com) Medication management is another target. In a March 2026 MedCity video article, DrFirst executive Valerie Mondelli said medication management and adherence are often overlooked parts of the care experience, and described efforts to make pharmacy interactions less daunting for patients. Artera President Tom McIntyre, in the same report, pointed to scheduling and e-prescribing workflows as early uses for agentic AI. (medcitynews.com) ### What does this say about the next phase of healthcare AI? MedCity’s recent coverage suggests the field is moving from chat-style assistance toward workflow execution. A March 2026 article on Epic’s “agent factory” said health systems are beginning to build AI agents that can orchestrate workflows across the electronic health record. Another March article said the next leap would come from systems that act on information, not just summarize it. (medcitynews.com) That matters because navigation problems are usually operational. A patient does not experience the system as a series of model benchmarks; the patient experiences it as whether an appointment gets booked, a refill gets processed, or an authorization gets cleared. MedCity’s argument is that AI adoption will be more meaningful when those steps become faster and easier to complete. (medcitynews.com) ### Who could be left out if this is built badly? More than 70 million U.S. adults live with a disability, according to CDC figures cited by Barton in MedCity on May 24. Barton wrote that digital tools can become another closed door when they do not work with screen readers, keyboard input or other assistive technology, and said 28.7% of U.S. adults live with a disability. (medcitynews.com) That warning broadens the navigation debate. If AI becomes the front end for scheduling, triage and benefits questions, then accessibility and integration are not side issues; they determine whether simplification reaches patients at all. MedCity’s recent pieces point to the same test across use cases: whether the technology reduces steps for patients and staff in the real care pathway. (medcitynews.com)