# AI-HTM.com

> Advocacy and education for Healthcare Technology Management (HTM) professionals navigating AI adoption.

AI-HTM.com is a community platform for biomedical equipment technicians (BMETs), clinical engineers, and HTM leaders. The site focuses on how artificial intelligence, workflow automation, and data quality are transforming the management of medical equipment in hospitals and healthcare facilities.

## Key Pages

- [Home](https://ai-htm.com/): AAMI eXchange 2026 session hub — "Fueling AI: Transforming HTM Through Workflow Design", presented by Fluke Biomedical. Panelists from Cynch, Web TMA, Accruent, and FHA/Nuvolo.
- [AI in HTM](https://ai-htm.com/ai-in-htm): Comprehensive Q&A resource covering AI adoption in HTM across five topic areas: general AI transformation, workflow design and data quality, CMMS integration, preparing for AI-driven change, and ethical considerations.
- [About HTM](https://ai-htm.com/about): Introduction to the Healthcare Technology Management discipline — roles, responsibilities, and the importance of HTM in patient safety.
- [Community Contributions](https://ai-htm.com/contributions): Articles and insights submitted by HTM professionals.

## Core Topics Covered

- How AI will reshape HTM over the next 5–10 years
- Predictive maintenance for medical equipment (infusion pumps, ventilators, imaging systems)
- Data quality and CMMS optimization strategies
- Workflow design for AI readiness
- Integration between workflow automation tools (e.g. OneQA) and CMMS platforms
- Key performance indicators (KPIs) for AI-driven HTM programs
- Ethical considerations in AI-assisted equipment management
- Resources for small and resource-constrained hospitals

## Session Information

**Session:** Fueling AI: Transforming HTM Through Workflow Design
**Event:** AAMI eXchange 2026, Denver, CO
**Date:** Friday, May 29, 2:00 pm – 4:00 pm
**Track:** AI & the HTM Evolution
**Presenters:** Jamie Spragis CBET and Kevin Ward BME (Fluke Biomedical)
**Panelists:** Dan Sallis (Cynch), Rich Sable (Web TMA), Joseph Shih (Accruent), Thomas Deleon (FHA/Nuvolo)

## License

This work is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).
https://creativecommons.org/licenses/by/4.0/