Is Bias in Clinical AI Good or Bad? It’s More Complicated Than That
We do not need models that pretend every patient has equal or equitable access to care. We need models capable of recognizing disparities and responding to them.
We do not need models that pretend every patient has equal or equitable access to care. We need models capable of recognizing disparities and responding to them.
The assumption is intuitive and well-intentioned: if patients simply understood the system better, they would use it more effectively. However, for most Medicare patients, that assumption is wrong. The barrier to care isn't knowledge, it's execution.
If we focus only on placement, we will continue to see cycles of progress and regression. If we focus on stability — on what happens after the keys are handed over — we have an opportunity to change those trajectories more permanently.
When paired with clinician-led care, it enables a fundamentally different approach to chronic disease management. These tools are designed to augment care teams by reducing administrative burden and allowing clinicians to focus on higher-value care.
Now is the time to build a system where every pregnant person, regardless of zip code, ethnicity, or insurance status, can access the level of care their pregnancy demands.
Healthcare cannot achieve its goals for quality, equity, and value without breaking down the persistent barriers that keep critical information siloed across sectors.
Programs that combine personal outreach with smart use of technology close more care gaps, improve quality measures, build member loyalty and improve retention.
There is no question the pressures are heavy, but there is also an opportunity for organizations to rethink how they deliver care, how they support the people they serve, and how they invest limited resources.
Just as health plans have learned to identify and intervene early with chronic conditions like diabetes or heart disease, they can and should do the same for housing and other health-related social needs.
We can and must do better to make sure our smart new tools actually do see the individual – by making them as transparent, unbiased, and compassionate as the caregivers we would want for our own families.
The shortfalls that accompany this technology gap touch everything from continuity of care and outcomes to the patient experience.
Network inaccuracy isn’t an inconvenience – it’s a public health crisis.
Here are some key insights to help unlock the viability of PDTs to address unmet needs throughout the healthcare ecosystem — for patients and providers alike — and how to take meaningful steps to improve the health experience.