High performance and adaptive lab report generation in hospital management information systems

Abstract

Medical Reports are amongst the most intensive and diverse processes in a Hospital Management Information System. In this paper, we propose an efficient and end-to-end framework for generating investigation test reports. The framework involves a novel template designer for result entry, an structured format for storing result entry template and data into XML suitable for lab reports and Electronic Medical Records. Lastly we introduce a high throughput two-layer report generation, storage and retrieval utility leveraging GridFS of MongoDB instead of traditional FTP based solutions. The system has been deployed at three multi-speciality hospitals. With extensive experimental evaluations, we show that the proposed framework significantly outperforms traditional methods of generating reports. We also demonstrate empirically that a MongoDB GridFS significantly outperforms FTP on several performance metrics.