Innovation

Cutting-edge technologies that are revolutionizing patient care and driving better medical outcomes, showcasing innovations that empower patients and reshape healthcare delivery for a healthier future.

TDS in Action

June 15, 2026

SHIP expands Stanford’s teaching mission across Bay Area

From AI to infection control, Stanford Health Care Innovation Project projects showed how young innovators are already reimagining the future of care.
June 04, 2026

Willow Ambulatory Module rollout helps Stanford Health Care streamline high cost drug management

With Epic’s specialty pharmacy tools, SHC aims to speed prior authorizations, closely monitor insurance reimbursement, and keep costly therapies from getting stuck in administrative limbo.
May 22, 2026

From fix-it shop to enterprise partner: the new face of Biomedical Engineering

Traditionally viewed as a repair and maintenance function, Health Care Technology Management has evolved into a strategic enterprise capability that supports clinical operations, digital health infrastructure, cybersecurity, and more.
TDS Projects May 14, 2026

TDS builds the digital backbone for Stanford Medicine’s new proton therapy system

TDS is supporting Stanford Medicine’s efforts to be the first in the world to introduce a therapy that will make advanced targeted radiotherapy more accessible to patients.

Artificial Intelligence in Healthcare

At Stanford Medicine we are committed to our tripartite mission — to educate tomorrow’s leaders; make fundamental scientific discoveries; and transform patient care — using the most cutting-edge technology. Technology & Digital Solutions is committed to harnessing Artificial Intelligence in serving this mission for our researchers, care teams, learners, and staff as we drive medicine forward together.

Stanford Medicine has been recognized as an award-winning leader in health care AI. Our leaders are at the forefront in shaping the national guidelines for responsible AI in healthcare and in guiding the adoption of AI in clinical practice.

Ethical Application of Artificial Intelligence

In healthcare, AI has to be fair, usable, and reliable. Stanford Medicine’s Chief Data Scientist, Dr. Nigam Shah, developed a framework called FURM (Fair, Useful, Reliable Model) to help us decide what and how to implement AI at scale. We’ve adopted this model at Stanford Medicine for all AI initiatives.

RAISE Health, a joint initiative between Stanford Medicine and the Stanford Institute for Human-Centered Artificial Intelligence (HAI) guides the responsible use of AI across biomedical research, education, and patient care throughout our organization.

FURM Framework:

To view FURM framework diagram, visit the Shah lab

FURM stands for Fair, Useful, Reliable Models. FURM Assessments (see stage 1 in the figure) help articulate the potential value of using a classifier or predicter (i.e. a model) to drive a specific clinical or operational workflow. The assessment quantifies whether a specific AI-guided workflow is likely to be sustainable and have enterprise value.

The process is based on 23+ peer-reviewed publications by members of the data science team. The output of the assessment is a report summarizing the eligible patient population, the workflow driven by the model, the anticipated business case, and ethical considerations. The report helps different stakeholders understand the overall impact of a specific model-workflow pair to ensure responsible use of AI at Stanford Healthcare.