Insights & Updates
Perspectives on perioperative care, hospital efficiency, and healthcare technology from the Atidia team.
Why Perioperative Care Is the Biggest Untapped Opportunity in Hospital Efficiency
Perioperative services account for up to 60% of hospital revenue, yet most hospitals still run them on paper, instinct, and overstretched nursing teams. Here's why that's about to change.
Causal Machine Learning in Surgery: From Theory to Practice
Three groundbreaking studies showing how Causal Machine Learning could transform surgical care through better prediction, prevention, and planning.
Causal ML in Healthcare: Beyond Prediction to Prevention
Every day, surgical departments face critical decisions that impact patient lives. Discover how Causal Machine Learning transforms healthcare decision-making beyond traditional AI.
Examples of Open Health Data
Fantastic examples of relatively open healthcare datasets, representing important progress toward publicly accessible health data.
The Pressing Need for Large-Scale Public Health Data
Sharing big health datasets could spark innovation in AI, leading to breakthroughs and better care, while protecting patient privacy.
Personalised Patient Questionnaires With LLM Agentic Workflows
Surgical questionnaires can adapt to each patient, emphasizing relevant inquiries while reducing time and effort through agentic AI workflows that streamline clinical information gathering.
Surgical Risk Prediction with Machine Learning
Atidia's research in collaboration with Austin Health: the development of Machine Learning models for surgical risk prediction. This work highlights the potential of EHR data to improve patient outcomes and operational efficiency.
Using LLMs to Summarise Trends in Clinical Test Reports
Using Large Language Models (LLMs) to summarise trends in clinical test reports. This project presented interesting challenges and generated insights that could be valuable for others working in this area.