Ask these vendor SLA questions
Healthcare vendor due‑diligence should include hard promises—guaranteed SLAs, phone support for urgent incidents, and written escalation paths for clinical-data errors—advice flagged in recent social posts. Getting these specifics in contract language avoids clinical and revenue-cycle delays when incidents occur. (x.com/theoh/status/2036443400568778874)
Vendor due‑diligence playbooks now list measurable availability and recovery metrics — explicitly naming uptime percentage, recovery time objective (RTO), and recovery point objective (RPO) as contract terms to validate vendor continuity capabilities. (info.mitratech.com) Major cloud healthcare SLAs commonly guarantee a Monthly Uptime Percentage of 99.9% (three nines); Google Cloud’s Cloud Healthcare API SLA explicitly sets 99.9% as its service-level objective. (cloud.google.com) A 99.9% uptime target translates to roughly 43.8 minutes of allowable downtime per month, while 99.99% reduces that to about 4.4 minutes per month — figures vendors and contracts use to calculate tolerable outage windows. (isdown.app) Incident‑severity SLAs in healthcare procurement typically require a P1 (critical) initial human response within 15 minutes and a resolution window of about 1–4 hours, with P2 (high) first responses often contractually capped at one hour. (digacore.com) Escalation matrices in vendor contracts are being written to include 24/7 named on‑call contacts, a guaranteed phone line for critical incidents, and automated timers that escalate to executive‑level contacts if a defined response window lapses. (learn.daydream.ai) Contract remedies now commonly combine service credits, explicit termination‑for‑cause triggers after repeated SLA breaches, and carve‑outs to liability caps for data‑integrity failures, while legal commentators warn against accepting service credits as the sole remedy. (contractcodex.com) The operational stakes are documented: the February 21, 2024 ransomware attack on Change Healthcare disrupted clearinghouse services that processed an estimated ~40% of U.S. claims and later expanded into an incident affecting roughly 190 million records, triggering widespread revenue‑cycle interruptions. (r1rcm.com)
