ThinkStack for healthcare

Keep care moving, from referral to follow-up.

Give intake, care coordination, and revenue-cycle teams the information they need to move each case forward. ThinkStack agents assemble referral packets, prepare authorization evidence, and connect claims to supporting records for specialist review.

Agentic AI in perspective

The opportunity to give time back to care

Published estimates connect AI adoption to lower administrative costs and more capacity across health systems.

Published industry research and examples, not ThinkTrends customer results. Estimates and individual outcomes are not guarantees of future performance.

The connected workflow

Equip your experts with modern data workflows

ThinkTrends governs and monitors agent access to tools through the Model Context Protocol (MCP). Combine retrieval-augmented generation (RAG), multi-agent orchestration, and runtime policies to assemble patient context, reduce administrative handoffs, and accelerate specialist review.

01 · Connect the relevant information
Patient & referral recordsPermitted documents and connected data
Claims & remittancesBilling extracts and payer responses
Policies & care proceduresApproved reference material
Enterprise toolsConfigured MCP servers and APIs
02 · Deliver outputs your specialists can use
Illustrative workflow architecture. Source access depends on the connected tools, permissions, and integrations configured for your environment.

Where to start

Multiple workflows. A shared platform.

Connect agents around your sources, your process, and your review requirements. Explore what a configured workflow could deliver for your team.

01Referral intake & readinessGive intake teams a clear view of what is present and what is missing.
Start with
Referral documents, intake forms, permitted patient records, and a service-specific checklist.
The agent workflow
Extract fields, apply completeness checks, retrieve supporting records through configured tools, and flag uncertain matches.
What your team receives
A structured referral packet with source references and missing-information questions.
Specialist judgment
Intake staff confirm patient identity and completeness; clinicians determine urgency and care needs.
Measure the value
Preparation time, incomplete referrals, and corrections per packet.
02Prior authorization preparationBring the evidence together before your team submits a request.
Start with
Referral details, permitted clinical documentation, and current payer requirements selected by your team.
The agent workflow
Retrieve relevant requirements with RAG, extract supporting facts, and prepare a cited draft with unresolved questions.
What your team receives
An authorization preparation packet for the responsible specialist.
Specialist judgment
Clinicians validate the clinical basis; authorization staff confirm requirements and submit through approved processes.
Measure the value
Assembly time, missing-document rework, and first-review completeness.
03Denial review & appeal preparationHelp revenue-cycle specialists work cases with the supporting evidence at hand.
Start with
Denial notices, remittance data, claim records, and approved appeal guidance.
The agent workflow
Structure denial reasons, reconcile records, retrieve supporting passages, and draft an appeal narrative as reviewable suggestions.
What your team receives
A case brief, evidence checklist, and proposed appeal wording.
Specialist judgment
Billing and clinical specialists verify coding, evidence, and appeal eligibility and approve any submission.
Measure the value
Time per case, reviewer corrections, and appeal preparation backlog.
04Care-transition handoff preparationReduce the time teams spend reconstructing the same patient context.
Start with
Permitted encounter records, discharge documents, referral notes, and handoff templates.
The agent workflow
Retrieve relevant material, organize documented events, and surface missing or conflicting information in a source-linked summary.
What your team receives
A draft handoff summary and follow-up questions for the receiving team.
Specialist judgment
Clinicians verify the summary and determine care plans, medication decisions, and follow-up priorities.
Measure the value
Handoff preparation time, missing-information callbacks, and correction rate.
05Operational capacity & service reportingTurn operational extracts into a clearer view of demand and bottlenecks.
Start with
De-identified scheduling data, service volumes, staffing summaries, and agreed metric definitions.
The agent workflow
Run configured SQL or Python analysis, compare trends, and assemble tables and a management narrative.
What your team receives
A performance brief with reproducible calculations and questions for operational review.
Specialist judgment
Service leaders validate the measures and own staffing, scheduling, and resource decisions.
Measure the value
Reporting hours, reconciliation effort, and time to explain a variance.
06Policy & procedure updatesKeep proposed revisions connected to the guidance that prompted them.
Start with
Approved policies, selected new guidance, and department-specific procedure documents.
The agent workflow
Retrieve relevant passages, compare requirements, and propose cited edits for review.
What your team receives
An impact summary and tracked document suggestions.
Specialist judgment
Clinical governance, privacy, and legal teams interpret requirements and approve revisions.
Measure the value
Assessment time, citation coverage, and revision rounds.

Denial review · workflow example

From a denial notice to an evidence-backed appeal draft

Coordinate extraction, retrieval, and document agents around a claim. Your team receives the relevant facts and proposed wording together, ready to check before submission.

Explore document workflows
  1. 01

    Structure the case

    Extract the denial reason and claim details; flag missing or uncertain fields.

  2. 02

    Gather the evidence

    Retrieve permitted records and the payer guidance selected for this case.

  3. 03

    Prepare the draft

    Assemble a source-linked narrative and supporting-document checklist.

  4. 04

    Review & improve

    Specialists verify the draft. Compare preparation time and correction rates against the baseline.

Connectivity, governance & assurance

Enterprise controls for healthcare.

Give domain experts the reach of connected agents and give review teams a clear view of the controls behind the work.

MCP with managed credentials

Connect tools through registered MCP servers. Reference stored secrets or OAuth connections, and test the handshake before making a tool available.

Explore hosted MCP servers ↗

PHI controls for sensitive workflows

ThinkTrends supports HIPAA-compliant workflows with end-to-end encryption and PHI controls. Configure sensitive-data masking or blocking and review data flows, model access, retention, and BAA requirements for your deployment.

Discuss healthcare data requirements ↗

Evidence for every review

Inspect retrievals, tool calls, and guardrail decisions in execution traces. Use domain rubrics and human-calibrated evaluators to compare outputs when prompts, models, or tools change.

Explore Observability & Tracing ↗

SOC 2 Type II & ISO 9001:2015

ThinkTrends has a SOC 2 Type II report and is ISO 9001:2015 certified for quality management. Discuss the applicable scope and supporting documentation with our team as part of your vendor assessment.

Discuss assurance documentation ↗

What’s possible

Turn revenue-cycle effort into capacity for the next case.

Illustrative savings of up to$120M

for a health system with $6 billion in patient revenue

McKinsey illustrates $60–120 million in savings if a largely agentic back-end revenue cycle lowers cost to collect by one to two percentage points.

Connect the case

Bring the claim, denial reason, and supporting records into one preparation workflow.

Keep expertise on exceptions

Put uncertain facts and consequential choices in front of the responsible specialist.

Measure the full effort

Track preparation, review, rework, and collections outcomes together.

An illustrative industry scenario, not an observed result or a ThinkTrends savings commitment. The estimate depends on health-system scale and the reduction achieved.

McKinsey · January 2026 · Revenue-cycle analysis ↗

Supporting your evaluation

Bring your review team into the conversation

Give clinical governance, privacy, security, and legal teams the detail they need to assess the proposed workflow and its data handling.

Common questions

Frequently Asked Questions

What does ThinkTrends offer for healthcare organizations?

ThinkTrends offers agentic AI for healthcare operations: prior authorization review, referral and fax intake, chart summarization and claims checks. Agents read referrals, faxes, charts and claims, check them against payer policy and your rules, and clinicians and staff review every result.

How is ThinkTrends different from ChatGPT Enterprise or Microsoft Copilot in healthcare?

General-purpose assistants are not connected to your EHR or payer rules. ThinkTrends runs purpose-built agents that read clinical data through FHIR and HL7, cite the chart for every statement, keep a physician in every clinical decision and run in your own environment so patient data never leaves it.

Does a ThinkTrends agent ever deny a prior authorization?

No. Agents find and check the evidence. A request that does not meet criteria always goes to a physician reviewer, who makes the decision.

Does patient data leave our environment?

No. ThinkTrends runs in your cloud or data center, and protected health information stays inside it.

Which healthcare systems does ThinkTrends connect to?

EHRs through FHIR and HL7, fax and document systems, payer portals and your billing system, through governed connectors.

How does ThinkTrends check clinical summaries?

Every sentence links to its source in the chart. A statement without a source is flagged, and the clinician signs the final summary.

Is our data used to train AI models?

No. ThinkTrends uses patient data only to do the work, inside your own environment. Your data is never used to train, tune or evaluate a model.