Research
Published research, our own whitepaper, and the requirements shaping Shifaya
Shifaya is being built on published clinical evidence and an actual hospital procurement specification - not assumptions. Here is what we're building on.
Shifaya whitepaper
Shifaya Clinical Intelligence
Our full product thinking in one document: the problem, the technology, the principles and the pathway from ambient documentation to longitudinal clinical intelligence.
Cited sources
01
Olson KD, Meeker D, Troup M, et al. “Use of Ambient AI Scribes to Reduce Administrative Burden and Professional Burnout.” JAMA Network Open, 2025.Multicentre quality-improvement study examining clinician burden and professional experience following ambient AI scribe adoption.
02
Shah SJ, Crowell T, Jeong Y, et al. JAMA Network Open, 2025.Research examining physician experience with ambient AI scribing, including workload, work-life integration, documentation burden and patient engagement.
03
Stanford Medicine. “Ambient artificial intelligence technology to assist Stanford Medicine clinicians with taking notes.” Stanford University School of Medicine, 2024.Case study on introducing ambient documentation technology into routine clinical environments.
04
Wang H, Yang R, Hong C. “An evaluation framework for ambient digital scribing tools in clinical applications.” npj Digital Medicine, 2025.Proposed evaluation framework for ambient scribing tools.
05
npj Digital Medicine, 2025.
Research on clinical and governance risks associated with ambient AI scribes, including accuracy, omissions, clinical validation and implementation oversight.
06
Gładysz M, et al. “AI-Assisted Medical Documentation in a Multilingual Swiss Hospital: A Proof-of-Concept Study.” 2026.Proof-of-concept study comparing conventional dictation, speech recognition, AI-assisted documentation and ambient AI documentation.
07
Stanford Medicine Healthcare AI Applied Research Team.Research programme examining ambient AI scribe utilisation, documentation time, usability and clinician experience.
These studies describe ambient AI documentation broadly, not Shifaya-specific results.