emtelligent vs MedScrub (2026)
Both give builders a layer between clinical text and the rest of their system. emtelligent, based in Vancouver, sells a Medical Language Engine that turns clinical text and scanned documents into structured data mapped to clinical ontologies. It records whether each finding is present, absent or hedged, whom it concerns and when, and it runs in emtelligent's cloud, in the customer's environment or in a private cloud. MedScrub removes the patient from records before any model sees them. A proxy strips all eighteen HIPAA identifiers, sends the de identified content to the model the customer chooses, and restores identity in the answer. If your failure mode is clinical text that never becomes coded data, start with emtelligent. If it is identifiable data reaching an outside model, start with MedScrub.
- The engine names its tasks, including entity linking, polarity and uncertainty, experiencer, measurement and temporality, relations, and medication and follow up detection.
- Document Manager splits and digitizes bundled PDFs and forms, and Clinical Workflow adds concept search, criteria matching, ICD-10 and SNOMED lookup and summaries with each element linked to its source.
- The company says the engine is HITRUST certified and that customer data is not used for training unless the customer opts in.
- De identification happens before the model and identity returns after it, with all eighteen HIPAA identifiers stripped by a reversible proxy.
- The customer chooses the model, from GPT-4, Claude, Gemini and Mistral to local models under Ollama, and the proxy is available as an HTTP API and an MCP server.
- Self hosting, local models and a customer owned data repository let the whole path run without patient content leaving the customer's infrastructure.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. emtelligent and MedScrub are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Fact | emtelligent | MedScrub |
|---|---|---|
| Primary category | Clinical Summarization & Chart Review | Clinical Summarization & Chart Review |
| Headquarters | Vancouver, British Columbia, Canada | Not recorded |
| Website | emtelligent.com | medscrub.ai |
Side by Side
Select any grade to read the note behind it.
Each vendor in one paragraph
Written to be quoted whole. Each paragraph opens the AI Health Index profile of the vendor: what the product is, who buys it and what it does.
emtelligent, based in Vancouver, British Columbia, sells a Medical Language Engine that turns unstructured clinical text and scanned documents into structured data mapped to clinical ontologies. The engine names the tasks it performs: entity linking, polarity and uncertainty (whether a finding is present, absent or hedged), experiencer (the patient or a family member), measurement and temporality, relations, and medication and follow-up detection.
Source: AI Health Index, September 2026
MedScrub strips the patient out of the records first, sends the de identified content to whichever model the customer chooses, and re identifies the answer on the way back. All eighteen HIPAA identifiers are removed by a proxy before data reaches any model, the substitution is reversible, and the company reports 78 percent token cost savings as a side effect of the compression involved.
Source: AI Health Index, September 2026
Questions buyers ask
How do emtelligent and MedScrub work with the EHR?
For emtelligent, the company cites full support for CCD-A, FHIR and HL7, APIs and SDKs with a public JSON output specification, ICD-10 and SNOMED mapping, and says Clinical Workflow integrates with multiple EHR systems and that structured output can be fed back into EHRs. No EHR vendor, marketplace listing or named deployment is identified.
With MedScrub, the product pulls conditions, laboratory results, vitals, medications and imaging from the EHR and syncs them into a customer owned clinical data repository, and FHIR accuracy is referenced, which implies standards based exchange. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 30, 2026. No vendor pays for placement.
How do emtelligent and MedScrub handle patient data?
In emtelligent's case, the company says client source documents are not used in its training data, and that customer inputs and outputs are not available to other customers and not used to train or improve its products unless the customer opts into data sharing. It also offers deployment inside the customer's own environment, where records need not leave the customer.
For MedScrub, all eighteen HIPAA identifiers are removed before content reaches any model, so a consumer or frontier model never receives identifiable data. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 30, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Clinical Summarization & Chart Review page.
MedScrub's details are unverified, and it publishes no price, business associate terms or figure for how reliably its proxy finds identifiers. emtelligent publishes three pricing tiers built on a fixed license fee with volume buy ups, without figures, and no business associate terms. Its home page figure of 99 percent benchmark accuracy carries no source, and its case studies name no clients.