LEADER 00867nam0-2200313---450- 001 990009380890403321 005 20110617091351.0 035 $a000938089 035 $aFED01000938089 035 $a(Aleph)000938089FED01 035 $a000938089 100 $a20110617f19801992km-y0itay50------ba 101 0 $aeng 102 $aUS 105 $ay-------001yy 200 1 $aApplied animal reproduction$fH. Joe Bearden, John W. Fuquay 210 $aNew Jersey$cPrentice Hall$d[19?] 215 $av. 610 0 $aAnimali$aRiproduzione 700 1$aBearden,$bHenry Joe$0511508 701 1$aFuquay,$bJohn W.$0318474 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009380890403321 952 $aIVc 331.1$b13995$fDMVSF 952 $aIVc 331.2$b14040$fDMVSF 959 $aDMVSF 996 $aApplied animal reproduction$9763293 997 $aUNINA LEADER 04624nam 2200505 450 001 9910484410003321 005 20210210182411.0 010 $a981-15-3781-X 024 7 $a10.1007/978-981-15-3781-3 035 $a(CKB)4100000011457809 035 $a(DE-He213)978-981-15-3781-3 035 $a(MiAaPQ)EBC6350720 035 $a(PPN)250219034 035 $a(EXLCZ)994100000011457809 100 $a20210210d2021 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aHealth informatics $etranslating information into innovation /$fHironobu Matsushita, editor 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer,$d[2021] 210 4$dİ2021 215 $a1 online resource (XIV, 174 p. 57 illus., 39 illus. in color.) 225 1 $aTranslational Systems Sciences ;$vVolume 24 311 $a981-15-3780-1 327 $aChapter 1. Theoretical Foundations: Informatics and Translational Systems Science -- Chapter 2. Shared Context-in-motion: Translational and Transformational Aspects of Information -- Chapter 3. Triad Translational continuum and Translational Leadership -- Chapter 4. Informatics and Electronic Health Records and Patient Care -- Chapter 5. Inter-Professional Approach to Health Informatics -- Chapter 6. Tele Nursing and Health Informatics -- Chapter 7. Communication Robot in the Care Provision -- Chapter 8. Big Data and Machine Learning: Lessons from Intensive Care Medicine -- Chapter 9. Medicine in the Age of Machine Learning and Artificial Intelligence -- Chapter 10. Data Science to Improve Our Understanding of Health and Disease -- Chapter 11. Big Data and Quality Improvement in Healthcare -- Chapter 12. Application of Machine Learning Methods to Drug Discovery.-Chapter 13. Informatics of Intensive care Patient Database -- Chapter 14. Nursing and Informatics: Fall Prevention Integration by Adjusting for the Risk of Falling with a Propensity Score -- Chapter 15. Nursing and Informatics -- Chapter 16. Academic Support for Effective Drug Development for Drug-resistant Bacteria-effects of Concomitant Drug Use of Clindamycin and Benzoyl Peroxide (BPO) on Propionibacterium acnes. - . 330 $aThis book is the first to approach healthcare informatics from the perspective of innovation. Drawing on the unique pairing of information and innovation, it offers an analysis to help readers rethink information technology, knowledge management, interprofessional collaboration and the generation of wisdom in the context of healthcare. The concept of ?translational? research stems from the medical and health sciences, and features bidirectional and recursive information-generation processes involving bed-to-bench and bench-to-bed approaches. Based partly on this, translational systems science has become a new trend within systems sciences, motivated by the need for practical applications that help people by offering holistic systems solutions for complex ideas. Today, numerous innovations are emerging in diversified clinical practices, and there has been a remarkable convergence of new technologies in disciplines like genome therapy, immunotherapy, iPS cells, imaging diagnosis, personalized medicine, molecular targeted drugs, surgical robots, and remote nursing. Innovation is also occurring in health management fields, including health records, insurance reimbursement methods, quality control, and safety. In these areas, big data and machine learning are accelerating innovation. Behind these innovations are the creation, sharing, bridging, and translation of data, information, knowledge, and wisdom, and as such health informatics is critical in promoting health innovations. The book explores the horizons of health informatics, introducing cutting-edge practical cases and theoretical frameworks, including but not limited to fields such as big data, machine learning, drug discovery, interprofessional collaboration, electronic health records, robotics, telenursing, quality improvement, and safety. 410 0$aTranslational systems sciences ;$vVolume 24. 606 $aMedical informatics 606 $aDecision making 606 $aHealth services administration 615 0$aMedical informatics. 615 0$aDecision making. 615 0$aHealth services administration. 676 $a610.285 702 $aMatsushita$b Hironobu 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484410003321 996 $aHealth Informatics$91777900 997 $aUNINA