Etiometry vs Sickbay
One of these is a risk model platform and the other is what risk models run on, and confusing them is the most common mistake in this category. Sickbay captures and serves high resolution physiologic data from bedside devices, which is the hard engineering problem underneath every deterioration algorithm in the intensive care unit, and it is deliberately vendor neutral so the hospital can change algorithms without changing the plumbing. Etiometry does its own aggregation and then clears four physiologic risk indices on top of it, with the best security disclosure and the deepest interoperability documentation in this category. The decision is architectural rather than clinical. If you expect to run models from several vendors over the next decade, buy the layer and keep it open. If you want cleared indices working next quarter, Etiometry is the shorter path and the more coupled one.
- It is not a risk model, it is the vendor neutral data layer that risk models run on, which makes it a different kind of purchase: infrastructure that outlives any particular algorithm.
- High resolution physiologic data capture is the harder engineering problem in this category, and it is the input every deterioration model in the unit depends on.
- Buying the layer separately means the hospital is not locked into one vendor's model, and can replace the algorithm without replacing the plumbing.
- Four separately cleared physiologic risk indices with population specific indications, which is the deepest regulatory footprint in this category, sitting on top of its own data aggregation.
- The best security disclosure in this category by a wide margin, including SOC 2 Type II with the type specified, alongside the deepest interoperability disclosure in the index.
- The published evidence base is investigator led rather than vendor run, and the company publishes the limits of each index per population rather than asserting general coverage.
Side by Side
| Axis | E Etiometry |
S Sickbay |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model and Technology Transparency | ||
| Clinical and Operational Evidence | ||
| AI Safety and PHI Stewardship | ||
| HIPAA and BAA Posture | ||
| Security Certifications and Trust Center | ||
| FDA and Regulatory Status | ||
| AI Governance and Bias Disclosure | ||
| EHR and Interoperability Depth | ||
| Deployment Model and Data Residency | ||
| Commercial Transparency | ||
| Setting and Specialty Coverage |
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Inpatient Deterioration & Risk Monitoring page.
These records sit at overlapping layers and a hospital may end up with both, so the question to settle first is who owns the physiologic data layer and whether a future model from a different vendor can run on it. Etiometry aggregates data and clears its own indices on top, which is deeper but more coupled; Sickbay is deliberately the layer beneath. Neither publishes pricing or a unit of pricing such as per monitored bed.
Etiometry's HIPAA compliance is asserted without a published business associate posture, and its subgroup performance disclosure is absent, which is the one large unaddressed exposure alongside otherwise strong technical transparency.