> ## Documentation Index > Fetch the complete documentation index at: https://developers.argosidentity.com/llms.txt > Use this file to discover all available pages before exploring further. # Medical Observation Records Template > Extract structured data from various document types using specialized AI models. The Medical Observation Records template extracts structured data from medical reports, patient records, and clinical observation documents, including patient data, medical findings, diagnosis, and treatment information. ## Template Features Extracts the following information from medical observation documents: * Patient demographics and identification * Medical provider and facility details * Clinical findings and observations * Vital signs and physical examination * Diagnostic tests and results * Assessment and treatment plans * Medical terminology and codes ## Usage Example ```json theme={null} { "fileExtension": "pdf", "docuType": "MedicalObservation", "fileData": "base64-encoded-medical-observation-data" } ``` ## Response Format The template returns structured medical observation data including: ### Patient Information * **Patient Name**: Full name of the patient * **Patient ID**: Unique patient identifier * **Date of Birth**: Patient's birth date * **Gender**: Patient's gender * **Contact Information**: Phone and address ### Medical Provider Details * **Provider Name**: Doctor or healthcare provider name * **Specialty**: Medical specialty or field * **License Number**: Medical license identifier * **Institution**: Hospital or medical facility name ### Observation Details * **Date**: Date of medical observation * **Time**: Time of examination * **Duration**: Length of observation period * **Type**: Type of medical observation ### Clinical Findings * **Chief Complaint**: Primary reason for visit * **Vital Signs**: Blood pressure, heart rate, temperature, oxygen saturation * **Physical Examination**: Detailed physical findings * **Diagnostic Tests**: Tests performed and results * **Medical History**: Relevant patient history ### Assessment and Plan * **Assessment**: Medical diagnosis or impression * **Treatment Plan**: Recommended treatment approach * **Follow-up Instructions**: Next steps and recommendations * **Medications**: Prescribed medications and dosages ## Sample Response ```json theme={null} { "status": "success", "data": { "document": { "patientInfo": { "name": "Michael Brown", "patientId": "P67890", "dateOfBirth": "1978-11-22", "gender": "Male" }, "medicalProvider": { "name": "Dr. Emily Davis", "specialty": "Cardiology", "licenseNumber": "MD-12345", "institution": "Heart Care Medical Center" }, "observationDetails": { "date": "2024-01-20", "time": "14:30", "duration": "45 minutes" }, "clinicalFindings": { "chiefComplaint": "Chest pain and shortness of breath", "vitalSigns": { "bloodPressure": "140/90 mmHg", "heartRate": "85 bpm", "temperature": "98.6°F", "oxygenSaturation": "95%" }, "physicalExamination": "Patient appears anxious, mild diaphoresis, no cyanosis", "diagnosticTests": [ "EKG - Normal sinus rhythm", "Chest X-ray - Clear lung fields", "Troponin levels - Within normal limits" ] }, "assessment": "Atypical chest pain, likely musculoskeletal in origin", "plan": [ "Continue current medications", "Follow up in 1 week", "Return if symptoms worsen" ] }, "confidence": 0.93 } } ``` ## Supported Medical Observation Types * Doctor's Office Visits * Hospital Admission Records * Emergency Room Visits * Specialist Consultations * Pre-operative Evaluations * Post-operative Follow-ups * Physical Examinations * Mental Health Evaluations * Pediatric Check-ups * Geriatric Assessments ## OpenAPI ````yaml POST /v1/textify/analyzer openapi: 3.1.0 info: title: Textify API description: >- The Textify API section enables users to analyze files based on their extension and document type. By providing the base64 encoded data of the file to be analyzed, users can retrieve valuable insights and information. version: 1.0.0 servers: - url: https://textify-api.argosidentity.com description: Production server security: [] paths: /v1/textify/analyzer: post: summary: Analyze Document description: >- Analyze a document based on its extension and document type to extract structured information. operationId: analyzeDocument requestBody: required: true content: application/json: schema: type: object required: - fileExtension - docuType - fileData properties: fileExtension: type: string description: >- The file extension of the document to be analyzed. Must be one of the supported formats. enum: - PDF - TIFF - JPG - PNG docuType: type: string description: >- The type of document to be analyzed. This determines the extraction model and data structure used for analysis. **Supported Document Types:** - **InvoiceMedical**: Medical invoices and bills from healthcare providers, hospitals, clinics, and medical facilities. Extracts patient information, medical services, costs, and billing details. - **BusinessRegistration**: Official business registration documents, corporate certificates, and company formation papers. Extracts business name, registration number, business type, and address information. - **InvoiceGeneral**: Standard commercial invoices from businesses and service providers. Extracts invoice number, customer details, items/services, and payment information. - **MedicalObservation**: Medical reports, patient records, and clinical observation documents. Extracts patient data, medical findings, diagnosis, and treatment information. - **Contract**: Legal contracts, agreements, and binding documents between parties. Extracts contract terms, parties involved, dates, and legal obligations. - **ArrivalNotice**: Shipping and logistics arrival notifications, delivery confirmations. Extracts shipment details, arrival dates, and delivery information. - **BillofLading**: Transportation documents for cargo and freight shipments. Extracts shipping details, cargo information, and transport terms. - **Jobapplication**: Employment applications, resumes, and job-related documents. Extracts applicant information, qualifications, and employment history. - **BalanceCertificate_KR**: Korean bank balance certificates and financial statements. Extracts account information, balance details, and banking data. - **ProofOfAddress**: Address verification documents, utility bills, and residence certificates. Extracts address information and verification details. enum: - InvoiceMedical - BusinessRegistration - InvoiceGeneral - MedicalObservation - Contract - ArrivalNotice - BillofLading - Jobapplication - BalanceCertificate_KR - ProofOfAddress fileData: type: string description: >- The base64 encoded data of the file to be analyzed. The file should be encoded without line breaks or additional formatting. examples: medical-invoice: summary: Medical Invoice Example value: fileExtension: PDF docuType: InvoiceMedical fileData: base64-encoded-file-data business-registration: summary: Business Registration Example value: fileExtension: JPG docuType: BusinessRegistration fileData: base64-encoded-file-data responses: '200': description: Successful analysis content: application/json: schema: type: object properties: status: type: string description: >- The status of the analysis operation. Returns 'success' when the document analysis is completed successfully. example: success data: type: object description: Extracted structured data from the document properties: patientName: type: string description: >- Full name of the patient as extracted from the medical document hospitalName: type: string description: >- Name of the hospital or medical facility where the services were provided totalAmount: type: number description: Total amount of the medical bill in the local currency services: type: array description: List of medical services provided to the patient items: type: object properties: service: type: string description: >- Name or description of the medical service provided amount: type: number description: >- Cost of the individual service in the local currency example: patientName: John Doe hospitalName: City General Hospital totalAmount: 1500 services: - service: Consultation amount: 200 - service: Lab Test amount: 300 confidence: type: number description: >- Confidence score of the extraction, ranging from 0.0 to 1.0. Higher values indicate more reliable extraction results. example: 0.95 example: status: success data: patientName: John Doe hospitalName: City General Hospital totalAmount: 1500 services: - service: Consultation amount: 200 - service: Lab Test amount: 300 confidence: 0.95 examples: medical-invoice-response: summary: Medical Invoice Response description: >- Response for medical invoice analysis with patient details and service breakdown value: status: success data: patientName: John Doe hospitalName: City General Hospital totalAmount: 1500 services: - service: Consultation amount: 200 - service: Lab Test amount: 300 confidence: 0.95 business-registration-response: summary: Business Registration Response description: >- Response for business registration document analysis with company information value: status: success data: businessName: ABC Corporation registrationNumber: '12345678' businessType: Limited Liability Company address: 123 Business St, Seoul, Korea confidence: 0.92 general-invoice-response: summary: General Invoice Response description: >- Response for general invoice analysis with customer and item details value: status: success data: invoiceNumber: INV-2024-001 customerName: Jane Smith totalAmount: 2500 items: - item: Web Development amount: 2000 - item: Consultation amount: 500 confidence: 0.88 '400': description: >- Bad request - The request contains invalid parameters or malformed data content: application/json: schema: type: object properties: error: type: string description: Error code or message describing the specific issue example: Invalid file extension '401': description: Unauthorized - The API key is missing, invalid, or has expired content: application/json: schema: type: object properties: error: type: string description: Authentication error message example: Invalid API key '500': description: >- Internal server error - An unexpected error occurred during document processing content: application/json: schema: type: object properties: error: type: string description: Server error message indicating the processing failure example: Processing failed security: - apiKeyAuth: [] components: securitySchemes: apiKeyAuth: type: apiKey in: header name: x-api-key ````