The conviction of an ADHD startup founder for over-prescribing Adderall illustrates the danger of optimizing healthcare for conversions. It proves that a doctor's assessment and incentive for quality care is a critical patient safety feature, not a bug to be removed by tech.
The new Medicare 'Access' code for AI in chronic care is priced too low to be profitable if humans are kept in the loop. This clever incentive design forces providers to adopt genuine AI-driven leverage rather than simply relabeling human effort, a first for healthcare technology.
As AI handles complex diagnoses and treatment data, the doctor's primary role will shift to the 'biopsychosocial' aspects of care—navigating family dynamics, patient psychology, and social support for life-and-death decisions that AI cannot replicate.
Making high-stakes products (finance, health) easy and engaging risks encouraging overuse or uninformed decisions. The solution isn't restricting access but embedding education into the user journey to empower informed choices without being paternalistic.
To ensure reliability in healthcare, ZocDoc doesn't give LLMs free rein. It wraps them in a hybrid system where traditional, deterministic code orchestrates the AI's tasks, sets firm boundaries, and knows when to hand off to a human, preventing the 'praying for the best' approach common with direct LLM use.
Elliot Cohen posits that the healthcare system is broken because it optimizes for financial relationships, not the patient. He argues the key metric should be Net Promoter Score—how much consumers love the experience. A system that people enjoy engaging with would inherently solve many cost and quality issues.
An effective AI strategy in healthcare is not limited to consumer-facing assistants. A critical focus is building tools to augment the clinicians themselves. An AI 'assistant' for doctors to surface information and guide decisions scales expertise and improves care quality from the inside out.
Kindbody's rapid, venture-backed expansion mirrored a tech startup's trajectory. However, this 'Silicon Valley style' disruption in a sensitive medical field like fertility care ultimately led to significant patient disillusionment, revealing a fundamental clash between a speed-focused business model and the requirements of trust-based medicine.
Despite the telehealth boom, 95% of ZocDoc's appointments for physical medicine are booked for in-person visits. The data suggests that while patients value the *option* of telehealth, they don't actually want it for somatic care, where a physical examination is crucial. The primary use case remains remote mental health services.
The opioid crisis wasn't a broad marketing failure but a hyper-targeted success. Purdue Pharma used data to identify and focus all its resources on the tiny fraction of doctors who were irresponsible prescribers. This asymmetrical strategy of targeting the 'super spreaders' was the key to the epidemic's takeoff.
The core issue preventing a patient-centric system is not a lack of technological capability but a fundamental misalignment of incentives and a deep-seated lack of trust between payers and providers. Until the data exists to change incentives, technological solutions will have limited impact.