00923nam0-2200313---450-99000827546040332120110418110133.03-925867-75-9000827546FED01000827546(Aleph)000827546FED0100082754620060216d2004----km-y0itay50------baspaDE----a---001yyBaltasar Graciánantropologia y estéticaactas del II coloquio internacional, Berlin, 4-7 de octubre de 2001ed. Sebastian NeumeisterBerlinEdition Tranvía2004336 p.21 cmGracián, BaltasarCongressi2001868.3Neumeister,SebastianITUNINARICAUNIMARCBK990008275460403321868.3 GRAC/S 2FLFBCFLFBCBaltasar Gracián541746UNINA04758nam 22007935 450 991029924590332120200702154702.03-319-16071-010.1007/978-3-319-16071-9(CKB)3710000000375671(EBL)1998201(SSID)ssj0001465278(PQKBManifestationID)11935245(PQKBTitleCode)TC0001465278(PQKBWorkID)11472245(PQKB)10311912(DE-He213)978-3-319-16071-9(MiAaPQ)EBC1998201(PPN)18489431X(EXLCZ)99371000000037567120150312d2015 u| 0engur|n|---|||||txtccrProcess Mining in Healthcare Evaluating and Exploiting Operational Healthcare Processes /by Ronny S. Mans, Wil M. P. van der Aalst, Rob J. B. Vanwersch1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (99 p.)SpringerBriefs in Business Process Management,2197-9618Description based upon print version of record.3-319-16070-2 Includes bibliographical references.1 Introduction -- 2 Healthcare Processes -- 3 Process Mining -- 4 Healthcare Reference Model -- 5 Applications of Process Mining -- 6 Data Quality Issues -- 7 Epilogue.What are the possibilities for process mining in hospitals?  In this book the authors provide an answer to this question by presenting a healthcare reference model that outlines all the different classes of data that are potentially available for process mining in healthcare and the relationships between them. Subsequently, based on this reference model, they explain the application opportunities for process mining in this domain and discuss the various kinds of analyses that can be performed. They focus on organizational healthcare processes rather than medical treatment processes. The combination of event data and process mining techniques allows them to analyze the operational processes within a hospital based on facts, thus providing a solid basis for managing and improving processes within hospitals. To this end, they also explicitly elaborate on data quality issues that are relevant for the data aspects of the healthcare reference model. This book mainly targets advanced professionals involved in areas related to business process management, business intelligence, data mining, and business process redesign for healthcare systems as well as graduate students specializing in healthcare information systems and process analysis.SpringerBriefs in Business Process Management,2197-9618Application softwareManagement information systemsIndustrial managementMedical informaticsHealth services administrationHealth services administrationInformation Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Business Process Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/522020Health Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/H28009Health Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23060Computer Appl. in Administrative Data Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/I2301XHealth Care Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/527030Application software.Management information systems.Industrial management.Medical informatics.Health services administration.Health services administration.Information Systems Applications (incl. Internet).Business Process Management.Health Informatics.Health Informatics.Computer Appl. in Administrative Data Processing.Health Care Management.005.7Mans Ronny Sauthttp://id.loc.gov/vocabulary/relators/aut1061768van der Aalst Wil M. Pauthttp://id.loc.gov/vocabulary/relators/autVanwersch Rob J. Bauthttp://id.loc.gov/vocabulary/relators/autBOOK9910299245903321Process Mining in Healthcare2520020UNINA01072nam2-22003011i-450 99000204525040332120250404110731.000020452520030910d1923----km-y0itay50------barusRUa m001yyEchinodermes (Echinodermata)A. M. DiakonovPetrogradAcademie des Sciences de Russie1923361 p., 2 tv.25 cmDoppio frontespizio in francese e in russo cirillico non traslitterato1.: Echinides (Echinoidea)0010002031802001Faune de la Russie et des pays limitrophes fondée principalement sur les collections du Musée zoologique de l'Académie Imp. des sciences de St.-PétersbourgEchinodermata Echinoidea593.9523itaDiakonov,A.M.360623ITUNINARICAUNIMARCBK990002045250403321B ENT 32901/0429/25FAGBCFAGBCEchinodermes (Echinodermata407138UNINA