Healthcare operations, clinical AI, health data and MedTech regulation — from the Northhaven research desk.
Learn practical methods to assess completeness and consistency of synthetic surgical schedule data before training procurement AI, ensuring reliable outcomes.
Learn how to detect and correct data drift in remote pulse oximetry AI, keeping SpO2 accuracy reliable as sensors age and patient populations evolve.
Learn how small changes to hospital software can cause a high‑risk reclassification under the EU AI Act Annex III and what teams should do to stay compliant.
Learn practical methods for materials managers to evaluate and reduce re‑identification risk when using synthetic surgical schedule data.
Learn how clinical engineers test and validate post operative acute kidney injury AI prediction models against live electronic health record data.
Learn a step‑by‑step process to set up AI agents that flag missing OR supplies before surgery starts, reducing delays and manual checks.
Step‑by‑step guide for ASC materials managers to reconcile new GPO contracts with current preference cards while keeping scheduled cases on track.
Learn how to use historical schedule and case duration data to forecast daily OR block fill rates in an ambulatory surgery center and improve planning.
Learn how to optimize HL7 v3 CDA XML parsing speeds in ambulatory surgery centers without dropping clinical payloads or missing supply data.
Follow this step-by-step guide to align edge AI cardiac monitors with EU MDR Annex IX technical file and conformity assessment requirements.
The autonomous procurement operating system for ambulatory surgical centers — built by Northhaven.