| Literature DB >> 29302768 |
Shanshan Li1, Yao Liu1, Yifang Yuan2, Jia Li3, Lan Wei1, Yuelong Wang4, Xiaolu Fei5.
Abstract
Medical images have become increasingly important in clinical practice and medical research, and the need to manage images at the hospital level has become urgent in China. To unify patient identification in examinations from different medical specialties, increase convenient access to medical images under authentication, and make medical images suitable for further artificial intelligence investigations, we implemented an enterprise imaging strategy by adopting an image integration platform as the main tool at Xuanwu Hospital. Workflow re-engineering and business system transformation was also performed to ensure the quality and content of the imaging data. More than 54 million medical images and approximately 1 million medical reports were integrated, and uniform patient identification, images, and report integration were made available to the medical staff and were accessible via a mobile application, which were achieved by implementing the enterprise imaging strategy. However, to integrate all medical images of different specialties at a hospital and ensure that the images and reports are qualified for data mining, some further policy and management measures are still needed.Entities:
Keywords: Clinical needs; Enterprise imaging; Image integration platform; Medical image; Workflow re-engineering
Mesh:
Year: 2018 PMID: 29302768 PMCID: PMC6113152 DOI: 10.1007/s10278-017-0044-9
Source DB: PubMed Journal: J Digit Imaging ISSN: 0897-1889 Impact factor: 4.056