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Nestmed’s documentation processing engine transforms admission referral documents into actionable clinical intelligence. When a patient is referred for home health services, these referral packages often contain hundreds of pages of hospital discharge summaries, physician notes, lab results, and other clinical documents. Nestmed automatically receives, processes, and summarizes this information, ensuring clinicians are fully prepared for their visits.

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Admission Referral Ingestion

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Receiving Referral Documents

When a patient is referred for home health services, the admission package typically includes extensive documentation from the referring hospital or physician. Nestmed receives these documents through multiple channels:

Direct EMR Integration

Automatic retrieval of admission referral documents from hospital systems and EMRs via secure API connections

Manual Upload

Drag-and-drop interface in the Nestmed Admin Dashboard for processing faxed, scanned, or emailed admission referrals

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Processing Admission Documents

Nestmed’s OCR and NLP engines process the wide variety of documents included in admission referral packages:
  • Hospital Discharge Summaries: Comprehensive discharge packets including diagnoses, procedures performed, and discharge instructions
  • Physician Orders for Home Health: Signed orders specifying services needed and frequency
  • History & Physical (H&P): Complete medical history and recent physical examination findings
  • Face Sheets: Patient demographics, insurance information, and emergency contacts
  • Medication Lists: Current medications from hospital discharge or physician office
  • Lab Results: Recent blood work, cultures, and other diagnostic tests
  • Imaging Reports: X-rays, CT scans, MRI results relevant to care
  • Consultation Notes: Specialist recommendations and treatment plans
  • Handwritten Text Recognition: Advanced neural networks trained on medical handwriting
  • Mixed Format Documents: Handles combinations of typed, handwritten, and stamped content
  • Poor Quality Scans: Enhanced processing for faxed or low-resolution documents
  • Multi-Column Layouts: Intelligent parsing of complex medical forms
  • Table Extraction: Structured data from medication tables, vital sign charts

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Intelligent Data Extraction

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Structured Information Mining from Referrals

From the admission referral documents, Nestmed extracts and categorizes critical clinical information that clinicians need:
  • Full name with middle initials and suffixes
  • Date of birth and age calculation
  • Address with apartment/unit details
  • Phone numbers (primary, secondary, emergency)
  • Insurance information with member IDs
  • Primary care physician details
  • Emergency contacts with relationships

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Pre-Visit Preparation

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From Referral Documents to Clinician Intelligence

After processing the admission referral package, Nestmed transforms hundreds of pages of documents into a concise, actionable summary that appears in the mobile app’s Preparation Tab:

Preparation Tab

Summarized Referral Information at Your FingertipsPatient Summary from Referral DocumentsThe Preparation Tab synthesizes all referral documentation into essential information:
  • Administrative Details: Patient demographics and insurance extracted from face sheets
  • Clinical Summary: Key diagnoses, recent hospitalization details, and discharge instructions
  • Orders for Home Care: Specific therapies and frequencies from physician orders
  • Recent Hospitalization: Admission narrative, interventions performed, and discharge plan
  • Medical History: Relevant past medical history and surgical procedures
  • Medication List: Current medications reconciled from discharge summaries
  • Allergies & Alerts: Critical safety information highlighted from all documents