Literature DB >> 29302768

Implementation of Enterprise Imaging Strategy at a Chinese Tertiary Hospital.

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


  7 in total

Review 1.  An integrated organisation-wide data quality management and information governance framework: theoretical underpinnings.

Authors:  Siaw-Teng Liaw; Christopher Pearce; Harshana Liyanage; Gladys S S Liaw; Simon de Lusignan
Journal:  Inform Prim Care       Date:  2014

2.  Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

Authors:  Varun Gulshan; Lily Peng; Marc Coram; Martin C Stumpe; Derek Wu; Arunachalam Narayanaswamy; Subhashini Venugopalan; Kasumi Widner; Tom Madams; Jorge Cuadros; Ramasamy Kim; Rajiv Raman; Philip C Nelson; Jessica L Mega; Dale R Webster
Journal:  JAMA       Date:  2016-12-13       Impact factor: 56.272

3.  Dermatologist-level classification of skin cancer with deep neural networks.

Authors:  Andre Esteva; Brett Kuprel; Roberto A Novoa; Justin Ko; Susan M Swetter; Helen M Blau; Sebastian Thrun
Journal:  Nature       Date:  2017-01-25       Impact factor: 49.962

4.  Predicting malignancy from mammography findings and image-guided core biopsies.

Authors:  Pedro Ferreira; Nuno A Fonseca; Inês Dutra; Ryan Woods; Elizabeth Burnside
Journal:  Int J Data Min Bioinform       Date:  2015       Impact factor: 0.667

Review 5.  Considerations for Exchanging and Sharing Medical Images for Improved Collaboration and Patient Care: HIMSS-SIIM Collaborative White Paper.

Authors:  Amy Vreeland; Kenneth R Persons; Henri Rik Primo; Matthew Bishop; Kimberley M Garriott; Matthew K Doyle; Elliott Silver; Danielle M Brown; Chris Bashall
Journal:  J Digit Imaging       Date:  2016-10       Impact factor: 4.056

Review 6.  Workflow Challenges of Enterprise Imaging: HIMSS-SIIM Collaborative White Paper.

Authors:  Alexander J Towbin; Christopher J Roth; Mark Bronkalla; Dawn Cram
Journal:  J Digit Imaging       Date:  2016-10       Impact factor: 4.056

Review 7.  Technical Challenges of Enterprise Imaging: HIMSS-SIIM Collaborative White Paper.

Authors:  David A Clunie; Don K Dennison; Dawn Cram; Kenneth R Persons; Mark D Bronkalla; Henri Rik Primo
Journal:  J Digit Imaging       Date:  2016-10       Impact factor: 4.056

  7 in total

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