DischargeFollow AI
Global Tech Teams (DBA Mindbowser) · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Hospitals and care providers face significant challenges in ensuring smooth transitions after patient discharge. Manual follow-up calls are time-consuming, inconsistent, and costly—leading to missed recovery signals, higher readmission rates, and overburdened staff.
Mindbowser offers DischargeFollow AI Implementation Services, a professional service engagement that helps healthcare organizations adopt AWS-native AI/ML services to automate post-discharge patient outreach.
Show the rest of the publisher’s description (18 more lines)
**Our team designs and deploys discharge workflows leveraging:**
- Amazon Connect – Automated voice/chat outreach with scheduled follow-ups.
- Amazon Comprehend Medical – Extracts recovery signals, symptoms, and medication adherence from patient responses.
- Amazon HealthLake (FHIR/HL7) – Stores and synchronizes structured recovery insights into your care management systems.
- Amazon SageMaker – Builds predictive models for readmission risk scoring.
- AWS Lambda & API Gateway – Orchestrates integration with EHRs such as Epic and Cerner.
**Engagement Outcomes**
- Automated Outreach – AI-driven calls/chats check on pain levels, mobility, and medication compliance.
- Real-Time Risk Detection – Red flags are escalated to care teams instantly.
- Structured Insights – Summaries and dashboards streamline decision-making.
- EHR Integration – Seamless FHIR-based enrollment and discharge workflow documentation.
- AWS Adoption – HIPAA-compliant, secure, and scalable deployment aligned with AWS Well-Architected best practices.
**Case Study Example**
A regional hospital implemented DischargeFollow AI on AWS, using Amazon Connect and Comprehend Medical to automate 70% of post-discharge calls. Within 90 days, they achieved:
- 38% reduction in readmissions within 30 days.
- 40% reduction in manual follow-up calls.
- Improved staff efficiency and higher patient satisfaction.
By partnering with Mindbowser, providers transform discharge processes into proactive, AWS-enabled care pathways, improving outcomes while modernizing their cloud infrastructure.
Highlights
Highlighted by the publisher on AWS Marketplace.
Automated post-discharge voice/chat outreach — Capture recovery status, symptom trends, and medication compliance without manual effort.
Early risk detection with real-time alerts — AI flags red flags and structures insights for care teams, enabling timely intervention.
Rapid launch + deep customization — 40% prebuilt core with 60% configurable workflows, backed by HIPAA-secure AWS architecture.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

