Maggie AI™

AI Referral Intake Software for Home Health and Post-Acute Care Teams

Maggie AI™ helps home health and post-acute care teams process referral documents with AI-enabled smart processing.

Teams can use Maggie AI™ to extract key patient information, create referral summaries, set personalized intake alerts, and ask patient-specific questions based on the documentation provided.

Built for Healthcare Intake Teams

Maggie AI™ is designed for intake teams that review referral packets, clinical notes, discharge summaries, orders, medications, diagnoses, insurance details, and other patient documentation.

  • Reduce manual referral review

  • Find important patient information faster

  • Create clearer referral summaries

  • Flag organization-defined intake concerns

  • Support faster intake decisions

  • Improve visibility across the intake process

  • Coordinate care with better information upfront

Home health clinician reviewing referral paperwork, representing the manual intake burden Complete Intake helps automate with AI-powered referral review.

Stop Digging Through Referral Packets Manually

Maggie AI™ pulls critical patient information from referral documentation, enabling teams to immediately identify the details that matter most, including:

  • Clinical notes

  • Discharge summaries

  • Diagnoses

  • Medications

  • Orders

  • Insurance details

  • Precautions

  • Wound information

  • Psychiatric concerns

  • Interpreter needs

  • Recommended services

  • Care instructions

  • Clinical notes

  • Discharge summaries

  • Diagnoses

  • Medications

  • Orders

  • Insurance details

  • Precautions

  • Wound information

  • Psychiatric concerns

  • Interpreter needs

  • Recommended services

  • Care instructions

Nurse reviewing referral documents on a laptop for home health intake

What Maggie AI™ Helps You Do

Maggie AI™ supports referral packets that arrive as PDFs, scanned documents, and other document-based intake materials.

It helps organize information into clear referral summaries so teams can review intake details faster.

  • Review PDF referral packets

  • Prepare documents for intake review

  • Review key patient details in one place

  • Reduce repetitive document review

  • Support intake and clinical handoff

  • Improve visibility into referral readiness

  • Process scanned documents with OCR support

  • Organize unstructured referral information

Ask Patient-Specific Questions

Maggie AI™ allows users to ask questions directly against the patient’s referral documentation.

  • Does the patient have wounds?

  • What diagnoses are listed?

  • What medications were prescribed?

  • Are interpreter services needed?

  • Are there psychiatric concerns?

  • Is substance use noted?

  • What services are recommended?

  • What information appears to be missing?

  • What precautions should the team know about?

  • Does the patient have wounds?

  • What diagnoses are listed?

  • What medications were prescribed?

  • Are interpreter services needed?

  • Are there psychiatric concerns?

  • Is substance use noted?

  • What services are recommended?

  • What information appears to be missing?

  • What precautions should the team know about?

AI referral summary showing patient information extracted and ready for review

Part of the Complete Intake Platform

Maggie AI™ supports intelligent referral intake inside Complete Intake.

It works alongside Maggie QA™ for quality assurance and PCH™ for patient communication, helping healthcare teams move from referral review to care coordination in one connected workflow.

AI referral summary showing patient information extracted and ready for review

Frequently Asked Questions

What is Maggie AI™?

Maggie AI™ is the intelligent referral intake service inside Complete Intake. It helps healthcare teams review referral documents, extract key patient information, create summaries, set personalized intake alerts, and ask patient-specific questions based on the documentation provided.

How does Maggie AI™ help with referral intake?

Maggie AI™ helps organize referral information earlier in the workflow so teams can review patient details faster, reduce manual document search, and make clearer intake decisions.

Is Maggie AI™ a general chatbot?

No. Maggie AI™ is designed for patient-specific referral intake. It answers questions based on the patient documentation available in the referral packet, not general internet information.

Can Maggie AI™ process PDFs and scanned referral documents?

Yes. Maggie AI™ supports PDF and OCR processing to help healthcare teams review referral packets, scanned documents, and other document-based intake materials.

What information can Maggie AI™ extract from a referral packet?

Maggie AI™ can help identify information such as diagnoses, medications, orders, precautions, insurance details, care instructions, wound information, interpreter needs, psychiatric concerns, substance use concerns, and recommended services.

Can Maggie AI™ flag important referral details automatically?

Yes. Maggie AI™ can support personalized intake alerts based on organization-defined criteria. For example, if a referral includes depression, substance use, cocaine use, wound concerns, psychiatric history, interpreter needs, or other important details, Maggie AI™ can flag that information so teams do not have to search for it manually.

How is Maggie AI™ different from a document summarizer?

Maggie AI™ does more than summarize documents. It supports referral intake by extracting key information, creating summaries, enabling personalized alerts, supporting patient-specific Q&A, and helping teams move referral decisions forward faster.

Who uses Maggie AI™?

Maggie AI™ is built for healthcare teams that manage referrals, admissions, transitions of care, and clinical intake workflows, including home health, hospice, physician offices, skilled nursing, assisted living, and hospital systems.

Move From Manual Review to Intelligent Referral Intake

Maggie AI™ helps healthcare teams process referral documents, organize patient information earlier, and make intake decisions with more confidence.

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Contact Details

Disclaimer: In very rare cases, Complete Intake and all its modules can make mistakes. It is the responsibility of the user and organization to verify the accuracy of all information.

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