Healthcare IT

The post recommends mapping every AI touchpoint in credentialing and screening workflows, adding plain-language context to records, requiring human review for high-score files, maintaining governance logs, training staff in clear documentation, and testing processes quarterly. It emphasizes that AI should support decisions, not make final decisions.

The post says organizations often rely on sales demos and feature checklists that hide real workflow limitations. It recommends scripted workflow tests using de-identified patient scenarios, timed demonstrations, and specialty-specific tasks to prove the system can handle the practice's actual daily work.

The post recommends negotiating clauses for data ownership, standard-format data extraction without extra vendor fees, uptime guarantees with penalties, implementation timeline penalties, and included training hours. It warns that vendors refusing these terms may not be confident in their product quality or implementation support.