의료비 청구서
Textify 의료비 영수증 템플릿: 의료비 청구서에서 환자, 진료 항목, 비용 정보를 추출합니다.
의료비 청구서 템플릿
의료비 청구서 템플릿은 의료비 청구서와 영수증에서 환자 정보, 의료 서비스, 비용, 청구 내역 등 구조화 데이터를 추출합니다.템플릿 기능
의료비 청구서에서 다음 정보를 추출합니다.- 환자 정보와 인적 사항
- 의료 기관 정보
- 청구 정보와 지급 조건
- 의료 서비스와 시술
- 보험 보장액과 환자 부담액
- 진단 코드와 의학 용어
사용 예시
응답 형식
이 템플릿은 다음을 포함한 구조화된 의료비 청구서 데이터를 반환합니다.환자 정보
- Patient Name: 환자 성명
- Patient ID: 환자 고유 식별자
- Date of Birth: 환자 생년월일
- Contact Information: 전화번호와 주소
의료 기관 정보
- Provider Name: 병원, 클리닉 또는 의료 시설
- Provider ID: 의료 기관 고유 식별자
- Address: 의료 기관 전체 주소
- Contact Information: 전화번호와 이메일
청구 정보
- Invoice Number: 청구서 고유 식별자
- Service Date: 진료일
- Due Date: 지급 기한
- Total Amount: 총 진료비
- Insurance Coverage: 보험 보장액
- Patient Responsibility: 환자 부담액
의료 서비스
- Service Description: 시행한 의료 시술
- CPT Codes: CPT(Current Procedural Terminology) 코드
- Service Amount: 항목별 비용
- Diagnosis Codes: ICD-10 진단 코드
응답 샘플
지원 의료비 청구서 유형
- 병원 청구서
- 의원 청구서
- 임상 검사 청구서
- 영상 검사 청구서
- 약국 청구서
- 치과 청구서
- 전문의 진료 청구서
- 응급실 청구서
- 외래 시술 청구서
- 의료 장비 대여 청구서
인증
본문
The file extension of the document to be analyzed. Must be one of the supported formats.
PDF, TIFF, JPG, PNG 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.
InvoiceMedical, BusinessRegistration, InvoiceGeneral, MedicalObservation, Contract, ArrivalNotice, BillofLading, Jobapplication, BalanceCertificate_KR, ProofOfAddress The base64 encoded data of the file to be analyzed. The file should be encoded without line breaks or additional formatting.
응답
Successful analysis
The status of the analysis operation. Returns 'success' when the document analysis is completed successfully.
"success"
Extracted structured data from the document
Confidence score of the extraction, ranging from 0.0 to 1.0. Higher values indicate more reliable extraction results.
0.95