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Hubble AI
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Hubble AI Verified Tool

Hubble AI is a healthcare records layer for retrieving patient-authorized data across EHRs and payers and returning traceable, normalized records. Organizations must confirm patient authorization, HIPAA responsibilities, field provenance, identity matching, audit trails, security, and human review before clinical or coverage use.

Last Update: August 20, 2026

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Tool Information

Hubble AI is a healthcare records layer for retrieving patient-authorized data across EHRs and payers and returning traceable, normalized records. Organizations must confirm patient authorization, HIPAA responsibilities, field provenance, identity matching, audit trails, security, and human review before clinical or coverage use.

Begin with authorized, non-sensitive inputs and a limited test. Configure available privacy, quality, access, export, disclosure, and spending controls; compare results with original sources and real requirements; correct errors; and keep a responsible person in control before publication, deployment, outreach, or consequential changes.

Business pricing is provided on request. Record volume, systems, workflows, integrations, compliance, support, and contract terms affect cost; the former $30 monthly figure is no longer applicable.

AI output may be inaccurate, generic, biased, incomplete, unsafe, stale, or misleading. Review privacy, retention, model training, copyright, consent, security, automatic renewal, refunds, and commercial rights, and require qualified human review for healthcare, HR, research, advertising, or other high-impact work.

F.A.Q (3)

Hubble AI is a healthcare records layer for retrieving patient-authorized data across EHRs and payers and returning traceable, normalized records. Organizations must confirm patient authorization, HIPAA responsibilities, field provenance, identity matching, audit trails, security, and human review before clinical or coverage use.

Begin with authorized, non-sensitive inputs and a limited test. Configure available privacy, quality, access, export, disclosure, and spending controls; compare results with original sources and real requirements; correct errors; and keep a responsible person in control before publication, deployment, outreach, or consequential changes.

Verified pricing: Custom pricing. Business pricing is provided on request. Record volume, systems, workflows, integrations, compliance, support, and contract terms affect cost; the former $30 monthly figure is no longer applicable.

Pros and Cons

Pros

  • Hubble retrieves medical records across EHRs; payers; and health-information exchanges
  • Voice and browser agents reach providers that API-only services miss
  • Fax; portal; and legacy records are converted into structured fields
  • A patient completes one authorization for a broader record pull
  • Each returned value carries its source system for traceability
  • Hubble normalizes records from several formats into one shape
  • Gap checks aim to make assembled histories more complete
  • The service reports production reach across more than seventy thousand providers
  • Direct integrations include major systems such as Epic and athenahealth
  • Payer access can add coverage and claims information
  • Every retrieval call is logged for audit review
  • The company states that the platform is HIPAA compliant
  • Patient-mediated access can provide a history on the first day of care
  • Structured records support underwriting; litigation; trials; and consumer-health workflows
  • Coverage improves as retrieval experience accumulates for each provider
  • Integration is positioned as days of work rather than months of manual setup

Cons

  • Medical-record aggregation handles exceptionally sensitive protected health information
  • Patient identity; authorization; and consent must be verified correctly
  • Voice and browser agents can encounter portal changes and provider-specific barriers
  • Faxed and scanned records may contain OCR or classification errors
  • Normalization can hide nuances present in an original clinical document
  • A more complete pull can still miss records held by unreachable providers
  • Organizations must validate that every use fits HIPAA and other applicable laws
  • Legal; insurance; and research uses may require additional consent and disclosure controls
  • Automated retrieval can reproduce incorrect information already stored in source systems
  • Source traceability helps review errors but does not correct them automatically
  • The public site does not list self-service prices
  • Prospective customers must book a demo rather than start a public trial
  • Provider coverage figures do not guarantee success for a specific patient
  • Voice calls and portal access can take longer than direct API retrieval
  • Clients need secure retention; deletion; and access-control policies for returned records
  • Clinical decisions still require qualified review of the original evidence

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