About

Decision infrastructure for healthcare — built from published decision science and production engineering.

Hospitals have software for data, prediction, and workflow. For the strategic decisions a board signs — which service lines to grow, partner, or exit; whether to acquire or partner with a practice — the criteria, the evidence, the dissent, and the reopen conditions still tend to live in separate artifacts. Doogooda turns that fragmented lifecycle into one versioned Decision Record, delivered with expert support and produced by the same decision model every time.

The company today

Doogooda Inc. is a Delaware corporation based in Madison, Wisconsin.

A first commercial engagement is in delivery (2026). Two decision classes are in market: service-line strategy and physician-practice integration, each sold as one fixed-scope decision at a time.

The method, before the company

The decision science behind the record was published in Management Science (2022) and ran live inside Moorfields Eye Hospital (NHS).

It grew out of research at Massachusetts General Hospital and an AHRQ-funded (R36) Medicare claims program.

Programs and press

Selected into Creative Destruction Lab Wisconsin (Health & Wellness), Harvard Launch Lab X, and gBETA Madison (gener8tor / WEDC Accelerate Wisconsin). Selection is not validation; customers are.

Covered by Wisconsin Health News, WisBusiness, and In Business Madison.

The team

Lina Song

Lina Song

CEO & Founder

  • Harvard PhD (Health Policy & Decision Science)
  • Trained in the program founded by Milton Weinstein (founder of cost-effectiveness analysis)
  • PhD committee: Soroush Saghafian (chair), Joseph Newhouse (health economics), Mary Beth Landrum (biostatistics), Richard Zeckhauser (decision theory)
  • Principal Investigator, AHRQ R36 grant — Medicare claims research
  • Taught machine learning at Harvard | MS Statistics (Yale) | BS Applied Math (Caltech)
  • Former tenure-track faculty at UCL School of Management · Faculty Fellow, Cornell Institute for Healthy Futures
  • Research and live implementation: Moorfields Eye Hospital (NHS) · Massachusetts General Hospital
  • POMS Best Paper Award (1st place) · AcademyHealth Best Methods Award · Published in Management Science
CTO

CTO

  • Full-stack CTO · 10+ years shipping production systems at 50M+ user scale
  • Led platform reliability and infrastructure for one of Asia's largest consumer tech companies
  • DevOps/SRE · Cloud architecture · Security & compliance · AI/ML
  • At Doogooda: builds the engine that turns a decision-specific data package into a secure, replayable, versioned Decision Record
  • Name and full profile shared on request

One built the decision science. The other builds the systems that run it.

Research-grade methodology. Production-grade engineering.