NDLI: Effective learning and knowledge discovery using processed medical incident reports

Content Provider	IEEE Xplore Digital Library
Author	Akiyama, M. Yamamoto, S. Fujita, K. Sakata, I. Kajikawa, Y.
Copyright Year	2012
Description	Author affiliation: Policy Alternatives Research Institute, The University of Tokyo, Japan (Akiyama, M.; Yamamoto, S.; Fujita, K.; Sakata, I.; Kajikawa, Y.)
Abstract	Effective management of technology plays an essential role in defining the power of an arena. In many developed countries, such as Japan, healthcare facilities employ advanced information systems to capture daily healthcare records. We have collected thousands of incidence reports from the Japan Council for Quality Health Care, which is managed by the Ministry of Health, Labour and Welfare. The incident reports were electronically stored in written conversation format. We successfully distinguished the incident reports using artificial intelligence technology. Using natural language processers, Japanese vocabularies were systematically structured, captured and classified. As a preliminary, we explored the similarities between reports and the co-occurrence events of related characters among medical incidences. In this study, we took advantage of advanced health informatics approaches and available encrypted datasets to extract hidden knowledge associated with medical error events. The occurrence of medical errors, such as inappropriate oral medicine, may be statistically associated with and can be explained by event scenes. This data-driven research involves the intimate collaboration and technology management of statisticians, computer scientists, and practitioners - a concept known as “Convergence” and attempts to statistically understand the dynamics of medical incidences to enhance clinical patient safety situation awareness.
Starting Page	2337
Ending Page	2346
File Size	767181
Page Count	10
File Format	PDF
ISBN	9781467328531
e-ISBN	9781890843250
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-29
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	PICMET (Portland Intl conf on Manage
Subject Keyword	Drugs Accidents Safety Indexes Technology management Natural language processing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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