Summary: The Doctor Who Cannot Help You

Catherine Nguyen is 61, an internist in Akron, Ohio, and she has 1,640 patients. She has been practicing for 29 years. She is good at her job in the ways that matter: she listens, she remembers, she catches things. She is also drowning. Before her first patient arrives at 8:15 on a Wednesday morning, she has already spent forty minutes on prior authorizations. She has two full-time employees whose entire job is arguing with insurance companies about whether the care she has already determined her patients need will be covered. Their combined salary is $94,000 a year. This is the cost of getting permission to practice medicine.

The preface to Series 02 reframes who the reader is looking at when she looks at her physician. Not someone on the other side of a transaction. Someone inside the same systems, consumed by the same institutional machinery, sitting at the same kitchen table with the same unreviewed contracts and uncompared insurance plans.

The article traces Catherine through four of the specific situations that Series 02 will address. When Loretta Simmons sits across from Catherine with five medications and a question about whether she is paying the right price, Catherine knows the answer is probably no. She knows patient assistance programs exist for Loretta’s Januvia. She knows Cost Plus carries the rosuvastatin at a fraction of the pharmacy price. She knows these things in passing, incompletely, without the time or infrastructure to act on the knowledge. Her electronic health record does not surface patient assistance programs. Her 15-minute appointment slot does not accommodate a conversation about navigating manufacturer enrollment forms. Medicare does not have a billing code for “helped patient find a cheaper source for her medication.” So Catherine prescribes the medication, hands Loretta the prescription, and hopes the pharmacist will mention something.

When Catherine orders an MRI for Raymond Kozlowski’s knee, the referral defaults to the hospital system that employs her. She knows the independent imaging center nine miles away offers the same scan on the same class of machine for a fraction of the hospital’s price. She knows this because a patient told her and she looked it up. She does not refer patients there. The hospital system’s referral workflow routes patients to affiliated facilities by default, leaving the affiliated facility requires administrative friction she does not have time for, and a physician whose referral patterns consistently route revenue away from her employer is a physician whose employment relationship may eventually be questioned. Nobody has threatened Catherine. The incentive structure is quieter than that, and more effective.

The billing errors on Clarence’s $14,000 appendectomy trace back to Catherine’s documentation, not because she was careless but because the translation from clinical notes to CPT codes happens in a different department, after the fact, by people who were not in the room. She does not see the billing codes generated from her notes. She does not know Clarence was charged for a six-hour recovery room stay when her surgical notes documented three. She is the origin point of the information that becomes the bill, and she has no visibility into what happens to it after she closes the chart.

The prior authorization numbers are documented from the 2024 AMA survey: an average of 39 prior authorization requests per physician per week, 13 hours of staff time, 89% of physicians reporting burnout contribution, nearly one in four reporting a prior authorization delay that led to a serious adverse event for a patient. Catherine’s $94,000 in annual prior authorization staffing costs is the salary of a nurse practitioner who could be seeing patients, or a care coordinator who could be calling Loretta about her Januvia and reviewing Clarence’s billing codes before they become charges.

The preface closes with the argument it has been building toward. The series that follows addresses twelve categories of financial transaction where agent technology can represent the reader’s interests. Every one of those transactions has a physician on the other side who is also being consumed by the same institutional systems. The reader who understands this will read the series differently. Not as a story about patients versus institutions, with the physician somewhere in the middle holding a clipboard. As a story about two people at the same table, facing the same systems, needing the same tools.

Catherine is 61. She has 1,640 patients. She catches drug interactions. She goes home to a kitchen table with its own pile of unreviewed contracts and uncompared insurance plans. She needs the AI too.

Read the full article on BlueMirror.life.