The lack of Interoperable healthcare data presents a major challenge, towards achieving ubiquitous health care. The plethora of diverse medical standards, rather than common standards, is widening the gap of interoperability.While many organizations are working towards a standardized solution, there is a need for an alternate strategy, which can intelligently mediate amongst a variety of medical systems, not complying with any mainstream healthcare standards while utilizing the benefits of several standard merging initiates, to eventually create digital health personas. The existence and efficiency of such a platform is dependent upon the underlying storage and processing engine, which can acquire, manage and retrieve the relevant medical data. Ubiquitous Health Profile (UHPr) is a multi-dimensional data curation platform which was created with medical data interoperability in mind. Here you will find the supplementary material and code for UHPr. This platform is part of the Intelligent Medical Platform (IMP), with details available at http://imprc.cafe24.com/
For comprehensive details of the platform see the following paper:
- Fahad Ahmed Satti, Taqdir Ali, Jamil Hussain, Wajahat Ali Khan, Asad Masood Khattak and Sungyoung Lee, "Ubiquitous Health Profile (UHPr): a big data curation platform for supporting health data interoperability", Computing (SCI, IF:2.044), Doi: https://doi.org/10.1007/s00607-020-00837-2, 2020
Other supporting papers are the following:
- Fahad Ahmed Satti, Wajahat Ali Khan, Taqdir Ali, Jamil Hussain, Hyeong Won Yu, Seoungae Kim and Sungyoung Lee , "Semantic Bridge for Resolving Healthcare Data Interoperability", The 34th International Conference on Information Networking (ICOIN 2020), Barcelona, Spain, Jan, 2020
- Fahad Ahmed Satti, Wajahat Ali Khan, Ganghun Lee, Asad Masood Khattak, Sungyoung Lee, "Resolving Data Interoperability in Ubiquitous Health Profile using semi-structured storage and processing", 34th ACM/SIGAPP Symposium on Applied Computing, pp.762-770, limassol, Cyprus, April 8-12, 2019
p.s. you can request a copy of these paper from research gate.
This researchwas supported by theMSIT (Ministry of Science and ICT),Korea, under the ITRC (Information Technology Research Center) support program(IITP-2017-0-01629) supervised by the IITP (Institute for Information & communications Technology Promotion)”, by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-0-01489) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation) NRF-2016K1A3A7A03951968 and NRF-2019R1A2C2090504. This research work was also supported by Zayed University RIF research fund # R18052.
Many thanks to Uri Kartoun and EMRBots.org for generating and providing a publicly accessible large synthezied dataset (100,000 patients) to test the accuracy of this research work.