Michael Baiocchi

Stanford University

Papers

2

Total Citations

10

H-Index

2

About

Michael Baiocchi is a leading researcher in health services and behavioral intervention methodology, with a focus on scalable digital therapeutics and surgical outcomes. His work bridges rigorous causal inference with real-world clinical applications, particularly in substance use disorders (SUDs) and minimally invasive surgery. Baiocchi’s major contributions include pioneering the use of relational agents—such as the Woebot chatbot—for treating SUDs, as demonstrated in his 2023 protocol for a randomized controlled trial that compares this digital intervention to a psychoeducational comparator. This work addresses the urgent need for population-based, scalable solutions for SUDs, which affect millions globally. In surgical research, Baiocchi has applied propensity-matched analyses to compare postoperative outcomes and costs of laparoscopic versus robotic distal pancreatectomy, providing critical evidence for clinical decision-making. His most-cited papers (6 and 4 citations, respectively) reflect his impact in advancing both behavioral health technology and surgical care. Baiocchi’s interdisciplinary approach—combining biostatistics, health economics, and digital therapeutics—positions him as a key figure in translating methodological rigor into practical, scalable health interventions.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A relational agent for treating substance use in adults: Protocol for a randomized controlled trial with a psychoeducational comparator
6 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Stanford University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago