OcrV1, Main, Exploration, bibRecord, 000053

Building Structured Personal Health Records from Photographs of Printed Medical Records

Identifieur interne : 000053 ( Main/Exploration ); précédent : 000052; suivant : 000054

Building Structured Personal Health Records from Photographs of Printed Medical Records

Auteurs : Xiang Li [République populaire de Chine] ; Gang Hu [République populaire de Chine] ; Xiaofei Teng [République populaire de Chine] ; Guotong Xie [République populaire de Chine]

Source :

AMIA Annual Symposium Proceedings [ 1942-597X ] ; 2015.

RBID : PMC:4765700

Abstract

Personal health records (PHRs) provide patient-centric healthcare by making health records accessible to patients. In China, it is very difficult for individuals to access electronic health records. Instead, individuals can easily obtain the printed copies of their own medical records, such as prescriptions and lab test reports, from hospitals. In this paper, we propose a practical approach to extract structured data from printed medical records photographed by mobile phones. An optical character recognition (OCR) pipeline is performed to recognize text in a document photo, which addresses the problems of low image quality and content complexity by image pre-processing and multiple OCR engine synthesis. A series of annotation algorithms that support flexible layouts are then used to identify the document type, entities of interest, and entity correlations, from which a structured PHR document is built. The proposed approach was applied to real world medical records to demonstrate the effectiveness and applicability.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765700

PubMed: 26958219
PubMed Central: 4765700

Affiliations:

République populaire de Chine

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Building Structured Personal Health Records from Photographs of Printed Medical Records

Building Structured Personal Health Records from Photographs of Printed Medical Records

Source :

Abstract

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Le document en format XML

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