JSON twin: https://www.healthaidb.com/software/thetarho-datadoc.json
ThetaRho
https://www.thetarho.ai/product
DataDoc is an AI-enabled, EHR‑embedded natural language interface that lets clinicians query and retrieve patient data across internal and external records within the EHR.
DataDoc is a chat-style, embedded application for electronic health records that uses large language models with grounding to surface medications, labs, notes, CCDAs and patient-generated data; it highlights data elements that are traceable to source records and supports searches across internal and external patient datasets to reduce clinician cognitive load and administrative burden.
yes
2023
P1650
2025-09-07
proprietary/commercial
Contact vendor for pricing, demo and deployment options; enterprise sales model (no public prices listed).
enterprise_quote
product
1.0
{
"company_name": "ThetaRho",
"company_url": "https://www.thetarho.ai/",
"company_offices": [
"United States"
],
"company_founding": "2023",
"product_url": "https://www.thetarho.ai/product",
"categories": [
"clinical",
"administrative",
"patient-facing",
"AI assistant",
"EHR integration",
"data interoperability"
],
"market_segment": [
"enterprise",
"smb"
],
"links": [
"https://www.thetarho.ai/",
"https://www.thetarho.ai/product",
"https://www.thetarho.ai/about-us",
"https://www.thetarho.ai/partners",
"https://www.thetarho.ai/contact",
"https://www.thetarho.ai/hs-fs/hubfs/45591607/DataDoc_datasheet.pdf",
"https://www.thetarho.ai/hs-fs/hubfs/45591607/DataDock_onepage-1.pdf",
"https://www.linkedin.com/company/thetarho",
"https://pitchbook.com/profiles/company/548348-77"
],
"summary": "DataDoc is an AI-enabled, EHR‑embedded natural language interface that lets clinicians query and retrieve patient data across internal and external records within the EHR.",
"description": "DataDoc is a chat-style, embedded application for electronic health records that uses large language models with grounding to surface medications, labs, notes, CCDAs and patient-generated data; it highlights data elements that are traceable to source records and supports searches across internal and external patient datasets to reduce clinician cognitive load and administrative burden.",
"target_users": [
"physicians",
"clinicians",
"nurses",
"medical assistants",
"health system administrators",
"IT teams",
"care coordinators"
],
"specialties": [
"primary care",
"ambulatory/outpatient",
"internal medicine",
"family medicine",
"specialty clinics (via EHR integration)"
],
"regions_available": [
"United States"
],
"languages_supported": [
"English"
],
"pricing_model": "enterprise_quote",
"pricing_details": "Contact vendor for pricing, demo and deployment options; enterprise sales model (no public prices listed).",
"license": "proprietary/commercial",
"deployment_model": [
"SaaS",
"embedded_in_EHR"
],
"os_platforms": [
"Web",
"EHR-embedded (desktop)"
],
"features": [
"Natural language query across patient record",
"EHR-embedded chat window for clinicians",
"Grounded LLM responses with traceability highlights",
"Search across internal and external clinical documents (CCDA)",
"Patient timeline view",
"Aggregation of patient-generated data",
"Context-aware clinical summaries",
"Visual cues for grounded vs ungrounded assertions",
"Provider-focused workflows to surface key meds/labs/notes"
],
"optional_modules": [
"Enterprise interoperability connectors",
"Custom model fine-tuning / domain adaptation",
"Advanced analytics / cohort discovery"
],
"integrations": [
"athenahealth (marketplace)",
"CommonWell Health Alliance",
"TriZetto",
"Ellkay",
"Major EHR vendors (integration roadmap / claims support)"
],
"data_standards": [
"CCDA",
"FHIR",
"HL7 v2"
],
"api_available": "yes",
"system_requirements": "",
"compliance": [
"HIPAA",
"SOC 2"
],
"certifications": [],
"security_features": [
"Encryption at rest and in transit",
"Role-based access control (RBAC)",
"SSO / SAML support",
"Audit logs"
],
"privacy_features": [
"Business Associate Agreement (BAA) available",
"Consent / data access controls",
"Patient data de-identification / anonymization options"
],
"data_residency": "",
"customers": [],
"user_reviews": [
"As an office manager, I use DataDoc to help me find the information the doctor needs before he sees patients. I type what I need into the search bar and it finds the data.",
"DataDoc saves me a lot of time prepping for patients. It helps by searching through the records to find the information I need about everything that matters for the visit."
],
"ratings": [
"athenahealth Marketplace — 4.7 (2 ratings, 5 stars)"
],
"support_channels": [
"contact form",
"email"
],
"training_options": [
"documentation",
"demo/request a demo",
"live_online (web demo/webinar)"
],
"release_year": "",
"integration_partners": [
"athenahealth",
"CommonWell Health Alliance",
"TriZetto (Cognizant)",
"Ellkay",
"University of Pittsburgh Medical Center (collaborator)",
"University of Trento (academic collaborator)",
"University at Buffalo (SUNY) (academic collaborator)"
],
"id": "P1650",
"slug": "thetarho-datadoc",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/thetarho-datadoc.json"
}
}