SURF Stanford Medicine

What SURF Stanford Medicine does

SURF Stanford Medicine (Systems Utilization Research For) is an interdisciplinary academic research group within Stanford University's Department of Management Science and Engineering, founded in 2018 and led by Founder and Director David Scheinker. The group comprises mathematicians, engineers, doctors, and students who apply machine learning, mathematical optimization, simulation, and statistical methods to improve healthcare delivery operations. Its research portfolio includes the TIDE Platform for pediatric Type 1 Diabetes management using continuous glucose monitoring and algorithmic patient prioritization, the BRIDGE Project command center for hospital patient flow, COVID-19 regional bed and ventilator demand projection tools, the WAVES open-access pediatric physiological waveforms dataset, and surgical scheduling optimization algorithms. SURF operates through sponsored research collaborations with two anchor clinical partners, Lucile Packard Children's Hospital Stanford and Stanford Health Care, supplemented by integrations with Tidepool for diabetes dashboard deployment and Garmin for wearable activity data. The organization does not sell commercial products; funding flows through Stanford institutional support and external research grants, and outputs are disseminated via peer-reviewed publication (over 100 papers since 2020), the MS&E 263 and MS&E 463 academic courses, and open-source datasets. Its leadership includes named Stanford faculty across management science, electrical engineering, pediatrics, and cardiology, positioning it as a clinical-academic engineering lab rather than a commercial vendor.

Name

SURF Stanford Medicine

Legal name

SURF Stanford Medicine (Systems Utilization Research For)

Website

https://surf.stanford.edu

Company type

Private

Founded year

2018

Operating status

Operating

Headcount range

1–10 employees

Short description

SURF Stanford Medicine is an interdisciplinary Stanford University research group that applies machine learning, optimization, and simulation to improve healthcare delivery operations, serving Lucile Packard Children's Hospital and Stanford Health Care through sponsored academic collaborations rather than commercial products.

Ownership category

akta.pro rank

Product category

Healthcare Operations Research

NAICS

Research and Development in the Physical, Engineering, and Life Sciences (54171), Other Scientific and Technical Consulting Services (54169), Computer Systems Design and Related Services (5415)

SIC

Services-Health Services (8000), Services-Prepackaged Software (7372)

akta.pro primary industry

SaMD – Monitoring, Triage & Risk Stratification Software (HLACANAE)

akta.pro secondary industries

SaMD – Imaging & Signal Analysis (AI/ML) (HLACANAG), Healthcare & Wellness Personalization (HDAAAGAI)

Keywords

• Healthcare operations research
• Clinical predictive analytics
• Hospital optimization algorithms
• Population health management
• Academic medical research

Headquarters

HQ city

Stanford

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure, Others

Revenue model

1. Research Grants and Academic Funding: Academic research group funded through Stanford University institutional support and external research grants. Projects are conducted in partnership with healthcare organizations as collaborative research rather than commercial engagements.
2. Sponsored Research Projects: Healthcare organizations and hospitals sponsor research projects through a formal proposal process. Sponsors include Lucile Packard Children's Hospital and Stanford Health Care divisions.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels5 records

Core offering

SURF Stanford Medicine is an interdisciplinary academic research group that applies machine learning, mathematical optimization, simulation, and statistical/probabilistic methods to improve healthcare delivery and hospital operations. Its work is delivered through sponsored research projects with healthcare organizations (notably Lucile Packard Children's Hospital and Stanford Health Care), producing analytics platforms (e.g., TIDE), interactive planning tools (COVID-19 Resource Calculator), and open-access datasets (WAVES), along with academic courses.

Product overview

SURF Stanford Medicine is an interdisciplinary academic research group operating within Stanford University's Department of Management Science and Engineering. The organization does not offer commercial products but conducts healthcare operations research using machine learning, mathematical optimization, simulation, and statistical methods. Key research outputs include the TIDE Platform for diabetes management, COVID-19 Resource Calculator for hospital capacity planning, WAVES physiological dataset for research, and the BRIDGE Project command center for hospital operations. The TIDE platform integrates with Tidepool and Garmin wearable devices to deliver personalized Type 1 Diabetes care through CGM data analysis and algorithm-enabled patient prioritization.

Differentiator

Problem solved

Functional benefit

Brands

• TIDE: Technology-Enabled Insulin Management for Type 1 Diabetes care using continuous glucose monitoring and algorithm-enabled patient prioritization

Products and services

• TIDE Platform Technology-Enabled Insulin Management platform that uses continuous glucose monitoring data and algorithmic patient prioritization to enable population-level glucose management at pediatric endocrinology clinics. Integrates with Tidepool and Garmin wearables for comprehensive patient monitoring.
• COVID-19 Resource Calculator Interactive model projecting COVID-19-related hospital bed and ventilator demand for regional hospital capacity planning, developed in partnership with Stanford Medicine-Engineering.
• WAVES Dataset Open-access pediatric physiological waveforms dataset from Lucile Packard Children's Hospital for clinical event prediction and patient trend analysis; published in Nature Scientific Data.
• BRIDGE Project Command Center Hospital command center system utilizing data to improve patient flow, clinical access, and operational decision-making across Lucile Packard Children's Hospital.
• MS&E 263 Healthcare Operations Management Winter-quarter Stanford academic course taught by David Scheinker, focused on using analytical tools to support efficient healthcare delivery.
• MS&E 463 Healthcare Systems Design Spring-quarter Stanford academic course in which students work on projects to analyze and design healthcare delivery, in partnership with Lucile Packard Children's Hospital.

Quantifiable outcome

• Mean hemoglobin levels decreased from 7.34 g/dL to 7.02 g/dL post-BPA implementation for blood transfusion optimization
• +2 more outcomes

Named customers2 records

Segments3 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration3 records

AI capability9 records

Feature5 records

Partnerships

Four partnerships are on record, tiered core and notable.

• Lucile Packard Children's Hospital StanfordcoreStrategic or Co-development PartnerPrimary clinical partner for pediatric healthcare operations research. Students work on projects under supervision of course instructors and hospital partners. Research areas include pediatric cardiology, diabetes management, NICU operations, and surgical optimization.
• Stanford Health CarecoreStrategic or Co-development PartnerAcademic medical center partner for cardiovascular care research, telemedicine studies, and hospital capacity planning. Collaborates on projects analyzing patient flow and clinical operations across adult and pediatric facilities.
• TidepoolnotableTechnology or IntegrationPartnership to integrate TIDE program principles into Tidepool's diabetes management dashboard, addressing technical challenges of device integration and supporting wider implementation of diabetes care algorithms.
• GarminnotableTechnology or IntegrationIntegration partnership to incorporate Garmin physical activity data (heart rate, activity type) into Type 1 Diabetes management workflows and the TIDE Dashboard for comprehensive patient monitoring.

Scale indicators4 records

Recent moves5 records

Expansion highlights5 records

Broad incumbents

• Optum (UnitedHealth Group): Optum is the largest health services and innovation arm of UnitedHealth Group, providing analytics, care management, and population health software across the healthcare ecosystem. Comparable to SURF in targeting healthcare operations and population health optimization, but at massive commercial scale with broad product portfolio.
• Google Health (Google Research Healthcare): Google Health applies AI and ML to clinical prediction, EHR analytics, and consumer health tools. Comparable to SURF in applying ML/AI to clinical signals, physiological data, and healthcare operations, though with vastly greater engineering scale and product reach.
• Epic Systems: Epic Systems is the dominant EHR vendor for large US academic medical centers and supplies the clinical data infrastructure SURF's projects integrate with. Comparable as the underlying platform SURF researchers build upon for predictive and operational analytics.

Emerging players

• Tidepool: Tidepool is a nonprofit diabetes data management platform that integrates CGM, insulin pump, and blood glucose meter data for people with diabetes. Directly comparable to SURF's TIDE platform because of the active integration partnership and overlapping focus on algorithmic population-level diabetes management.

Direct peers

• Health Catalyst: Health Catalyst provides data and analytics platforms for healthcare systems to improve operational, clinical, and financial performance. It is directly comparable to SURF in applying analytics and ML to hospital operations improvement, though at commercial scale rather than as academic research.
• LeanTaas: LeanTaas applies AI and ML to optimize hospital operations including surgical scheduling, OR utilization, and patient flow. It is directly comparable to SURF's surgical scheduling optimization work and BRIDGE command center for hospital capacity planning.
• Regenstrief Institute: Regenstrief Institute is an informatics and health services research organization affiliated with Indiana University focused on EHR data, clinical decision support, and health information exchange. Comparable to SURF in conducting applied healthcare informatics research with real-world hospital data access.
• Mayo Clinic Platform: Mayo Clinic Platform is an academic medical center initiative applying AI and advanced analytics to clinical and operational challenges across Mayo's health system. Closely comparable to SURF as an academic medical AI/ML research entity with embedded clinical data access and physician-engineer collaboration.
• Arcadia: Arcadia is a healthcare data analytics platform focused on population health management and value-based care for providers and payers. Comparable to SURF in using EHR and clinical data to drive population-level health insights similar to the TIDE platform's population diabetes management approach.
• Computational Health Informatics Program (CHIP), Harvard/Boston Children's: CHIP is an academic pediatric health informatics research program affiliated with Boston Children's Hospital and Harvard Medical School. Comparable to SURF in applying ML and computational methods to pediatric clinical data and hospital operations within an academic children's hospital setting.

Market position

Competitive moat4 records

Key risks5 records

Key highlights6 records

Customer concentration

• Xx.com/SURFStanfordMed
• YouTubeyoutube.com/playlist?list=PLvVOGIn5D4sZh6RqA-OXkuUvUspYYZV7r
• LinkedInlinkedin.com/company/surf-stanford-medicine

Revenue estimate

Valuation estimate

Number of profiles

Profiles8 records

Funding overview

Funding rounds

Investors

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M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about SURF Stanford Medicine