000891343 000__ 04760cam\a2200541Ii\4500 000891343 001__ 891343 000891343 005__ 20230306150042.0 000891343 006__ m\\\\\o\\d\\\\\\\\ 000891343 007__ cr\cn\nnnunnun 000891343 008__ 190607t20192019si\\\\\\ob\\\\001\0\eng\d 000891343 019__ $$a1106160504 000891343 020__ $$a9789811358050$$q(electronic book) 000891343 020__ $$a9811358052$$q(electronic book) 000891343 020__ $$z9789811358043 000891343 0247_ $$a10.1007/978-981-13-5 000891343 035__ $$aSP(OCoLC)on1103918889 000891343 035__ $$aSP(OCoLC)1103918889$$z(OCoLC)1106160504 000891343 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dEBLCP$$dN$T$$dUKMGB$$dLQU$$dGW5XE$$dOCLCF 000891343 049__ $$aISEA 000891343 050_4 $$aR729.8 000891343 08204 $$a610$$223 000891343 1001_ $$aAtsuji, Shigeo,$$d1959-$$eauthor. 000891343 24510 $$aResilience management for a sustainable aging society :$$bpreventability of medical accidents using big data /$$cShigeo Atsuji. 000891343 264_1 $$aSingapore :$$bSpringer,$$c[2019] 000891343 264_4 $$c©2019 000891343 300__ $$a1 online resource. 000891343 336__ $$atext$$btxt$$2rdacontent 000891343 337__ $$acomputer$$bc$$2rdamedia 000891343 338__ $$aonline resource$$bcr$$2rdacarrier 000891343 4901_ $$aSpringerBriefs in business 000891343 504__ $$aIncludes bibliographical references and index. 000891343 5050_ $$aIntro; Preface: Resilience Management for Medical Sustainability; Acknowledgements; Contents; About the Author; List of Figures; List of Tables; 1 Resilience Management for Disaster Reduction Against Medical Accidents; 1.1 Introduction; 1.2 International Definition of Medical Accidents and Errors; 1.2.1 Changing Attitudes to Medical Accidents and Difference in Concepts; 1.2.2 Medical Safety Management; 1.3 Data Mining Using the Resource Japan Medical Accident Big Data 2000-16; 1.3.1 Diversification of Medical Accidents and Errors 000891343 5058_ $$a1.3.2 Co-occurrence Relationship of Accident Causative Factors: Mandala of Failure and Network Mapping1.4 IoM Innovation and Medical Accident Prevention; 1.4.1 ICT Medical Innovation and Human Resource Management (HRM); 1.4.2 Compliance and Governance Exemplified in a 'Medical Sustainability'; References; 2 A Case Study of Medical Accidents and Errors for Kaizen; 2.1 Case Study of a 2001 Medical Accident; 2.2 Cover-up of the Medical Accident and Emergence of Internal Allegation; 2.3 Mechanism of Medical Accident Occurrence 000891343 5058_ $$a2.4 Future Issues: Interorganizational Relations and Structural Inertia in Japanese Medicine2.5 Conclusion: Potential for a Global Database Based on Medical Accident Big Data; 3 Evidence: Medical Accidents Drowing from Big-Data 2000-2016; 3.1 Medical Accidents Categories in Japan; 3.2 Medical Accidents and Errors 2012-2016 (in Detail); 4 Supplymentary: Categories in Survey Report on Japanese Medical Accidents; 4.1 Big Data Protocol of Medical Accidents and Errors; 4.2 Abstract Data: Medical Accident and Errors 2000-2011 (Above Shown 2012-2016); 4.3 Medical Accident Classification Criteria 000891343 5058_ $$a4.4 Medical Accidents and Errors 2000-2011 (Abstract)4.5 Edited by Division of Medical Adverse Event Prevention, Japan Council for Quality Health Care Project to Collect Medical Near-Miss/Adverse Event Information, Annual Report 2014; Afterword: Application of Resilience Management for Geopolitic of Far-East Asis Crises; Bibliography; Index. 000891343 506__ $$aAccess limited to authorized users. 000891343 520__ $$aThis book utilizes big data to undertake a cluster analysis of medical accidents. Highlighting shared worldwide accident patterns, it represents a first step toward reducing the incidence of accidents through kaizen innovation driven by information and communications technology. This initiative comes against a background where medical accidents are currently the third largest cause of death after heart attack and cancer, making accident prevention an urgent concern. With the objective of preventing these accidents, which negatively impact numerous different stakeholders, and based on interdisciplinary research, the book examines (1) the application of data mining to identify shared accident patterns; (2) proposals for system improvement and organizational innovation aimed at risk and resilience in crisis management; and (3) the use of a global platform to achieve sustainability in the Internet of Medicine (IoM). 000891343 588__ $$aOnline resource; title from PDF title page (viewed June 10, 2019). 000891343 650_0 $$aMedical errors$$xPrevention. 000891343 650_0 $$aMedical records$$xData processing. 000891343 650_0 $$aInternet in medicine. 000891343 650_0 $$aOlder people$$xHealth and hygiene. 000891343 650_0 $$aHealth services administration. 000891343 830_0 $$aSpringerBriefs in business. 000891343 852__ $$bebk 000891343 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-5805-0$$zOnline Access$$91397441.1 000891343 909CO $$ooai:library.usi.edu:891343$$pGLOBAL_SET 000891343 980__ $$aEBOOK 000891343 980__ $$aBIB 000891343 982__ $$aEbook 000891343 983__ $$aOnline 000891343 994__ $$a92$$bISE