Stanford Root

Schedule

Stanford Root

Schedule

BIOE 273

Biodesign for Digital Health (MED 273)

UNITS:3-4
GRADING:Medical Option (Med-Ltr-CR/NC)
LEVEL:Graduate
GER:—

Health care is facing significant cross-industry challenges and opportunities created by a number of factors, including the increasing need for improved access to affordable, high-quality care; growing demand from consumers for greater control of their health and health data; the shift in focus from sick care to prevention and health optimization; aging demographics and the increased burden of chronic conditions; and new emphasis on real-world, measurable health outcomes for individuals and populations. Moreover, the delivery of health information and services is no longer tied to traditional brick and mortar hospitals and clinics: it has increasingly become "mobile," enabled by apps, sensors, wearables. Simultaneously, it has been augmented and often revolutionized by emerging digital and information technologies, as well as by the data that these technologies generate. This multifactorial transformation presents opportunities for innovation across the entire cycle of care, from wellness, to acute and chronic diseases, to care at the end of life. But how does one approach innovation in digital health to address these health care challenges while ensuring the greatest chance of success? At Stanford Biodesign, we believe that innovation is a process that can be learned, practiced, and perfected; and, it starts with an unmet need. In Biodesign for Digital Health, students will learn about digital health and the Biodesign needs-driven innovation process from over BIOE 50 industry experts. Over the course of 10weeks, these speakers will join the teaching team in a dynamic classroom environment that includes lectures, panel discussions, and breakout sessions. These experts represent startups, corporations, venture capital firms, accelerators, research labs, healthcare providers, and more. Student teams will take actual digital and mobile health challenges and learn how to apply Biodesign innovation principles to research and evaluate needs, ideate solutions, and objectively assess them against key criteria for satisfying the needs. Teams take a hands-on approach with the support of need coaches and other mentors. On the final day of class, teams present to a panel of digital health experts and compete for project extension funding. Friday section will be used for team projects and for scheduled workshops. Limited enrollment for this course. Students should submit their application online via: https://forms.gle/9SqCZwHKBXmA3khN6

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

1 Term
Seminar 1Open
ID: 6466
0 / 42 enrolled
DAYS:Wednesday
TIME:3:30 PM – 6:20 PM
LOCATION:Li Ka Shing Center, room 101
INSTRUCTOR:
Aalami, Oliver, Denend, Lyn, de Haaff, Michelle
units

BIOE 273: Biodesign for Digital Health (MED 273)

3-4 units · Medical Option (Med-Ltr-CR/NC)

Health care is facing significant cross-industry challenges and opportunities created by a number of factors, including the increasing need for improved access to affordable, high-quality care; growing demand from consumers for greater control of their health and health data; the shift in focus from sick care to prevention and health optimization; aging demographics and the increased burden of chronic conditions; and new emphasis on real-world, measurable health outcomes for individuals and populations. Moreover, the delivery of health information and services is no longer tied to traditional brick and mortar hospitals and clinics: it has increasingly become "mobile," enabled by apps, sensors, wearables. Simultaneously, it has been augmented and often revolutionized by emerging digital and information technologies, as well as by the data that these technologies generate. This multifactorial transformation presents opportunities for innovation across the entire cycle of care, from wellness, to acute and chronic diseases, to care at the end of life. But how does one approach innovation in digital health to address these health care challenges while ensuring the greatest chance of success? At Stanford Biodesign, we believe that innovation is a process that can be learned, practiced, and perfected; and, it starts with an unmet need. In Biodesign for Digital Health, students will learn about digital health and the Biodesign needs-driven innovation process from over 50 industry experts. Over the course of 10weeks, these speakers will join the teaching team in a dynamic classroom environment that includes lectures, panel discussions, and breakout sessions. These experts represent startups, corporations, venture capital firms, accelerators, research labs, healthcare providers, and more. Student teams will take actual digital and mobile health challenges and learn how to apply Biodesign innovation principles to research and evaluate needs, ideate solutions, and objectively assess them against key criteria for satisfying the needs. Teams take a hands-on approach with the support of need coaches and other mentors. On the final day of class, teams present to a panel of digital health experts and compete for project extension funding. Friday section will be used for team projects and for scheduled workshops. Limited enrollment for this course. Students should submit their application online via: https://forms.gle/9SqCZwHKBXmA3khN6

Offered in Autumn 2026 at Stanford University.

Autumn 2026 sections

  • Seminar — Wednesday 3:30 PM – 6:20 PM — Li Ka Shing Center, room 101 — Aalami, Oliver, Denend, Lyn, de Haaff, Michelle (Graduate)

More BIOE courses

  • BIOE 260: Tissue Engineering (ORTHO 260)
  • BIOE 261: 3D Bioprinting Laboratory
  • BIOE 264: Innovating for Underserved Communities Using Biodesign (MED 264)
  • BIOE 266: Synthetic proteins and genetic circuits (BIO 246, GENE 246)
  • BIOE 267: How to Serve the World (MED 267)
  • BIOE 271: Frugal Science
  • BIOE 274: Micro and Nano Processing Technologies for Medical Electronics (CHEMENG 247, CHEMENG 447)
  • BIOE 277: AI-Assisted Care (CS 337, MED 277, PSYC 278)
  • BIOE 279: Computational Biology: Structure and Organization of Biomolecules and Cells (BIOPHYS 279, BMDS 245, CME 279, CS 279)
  • BIOE 281: Biomechanics of Movement (ME 281)
  • BIOE 282: Introduction to Biomechanics and Mechanobiology (ME 283)
  • BIOE 283: Mechanotransduction in Cells and Tissues (BIOPHYS 244, ME 244)

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