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Link de la búsquedaAdvances in Healthcare Informatics and Analytics / Ashish Gupta ; SpringerLink (Online service) ; Vimla L. Patel ; Robert A. Greenes (2016)
Título : Advances in Healthcare Informatics and Analytics Tipo de documento: documento electrónico Autores: Ashish Gupta ; SpringerLink (Online service) ; Vimla L. Patel ; Robert A. Greenes Editorial: Cham : Springer International Publishing Fecha de publicación: 2016 Otro editor: Imprint: Springer Colección: Annals of Information Systems, ISSN 1934-3221 num. 19 Número de páginas: XI, 262 p. 71 illus., 45 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-319-23294-2 Idioma : Inglés (eng) Palabras clave: Business Health care management services administration informatics and Management Care Information Systems Applications (incl. Internet) Informatics Clasificación: 004:658 Informática de gestión. Comercio electrónico. Auditoría informática Resumen: This important new volume presents recent research in healthcare information technology and analytics. Individual chapters look at such issues as the impact of technology failure on electronic prescribing behavior in primary care; attitudes toward electronic health records; a latent growth modeling approach to understanding lifestyle decisions based on patient historical data; designing an integrated surgical care delivery system using axiomatic design and petri net modeling; and failure in a dynamic decision environment, particularly in treating patients with a chronic disease. Other chapters look at such topics as the impact of information technology integration in integrated delivery systems; operations and supply chain control for inventory management in a health system pharmacy; decision-theoretic assistants based on contextual gesture recognition; evaluating emergency response medical information systems; clinical decision support in critical care; virtual worlds in healthcare; and natural language processing for understanding contraceptive use at the VA Nota de contenido: The Impact of Technology Failure on Electronic Prescribing Behavior in Primary Care: A Case Study -- Individuals' Attitudes Towards Electronic Health Records - A Privacy Calculus Perspective -- Understanding Lifestyle Decisions Based on Patient Historical Data: A Latent Growth Modeling Approach -- Designing an Integrated Surgical Care Delivery System using Axiomatic Design and Petri Net Modeling -- Examining Failure in a Dynamic Decision Environment: Strategies for Treating Patients with a Chronic Disease -- An Empirical Investigation of the Impact of Information Technology Integration in Healthcare Integrated Delivery Systems -- Beyond the Use of Robotics: Operations and Supply Chain Control for Effective Inventory Management in a Health System Pharmacy -- Decision-Theoretic Assistants Based on Contextual Gesture Recognition -- Developing a Method to Evaluate Emergency Response Medical Information Systems -- Effective Use of Clinical Decision Support in Critical Care: Using Risk Assessment Framework for Evaluation of a Computerized Weaning Protocol -- Virtual Worlds in Healthcare -- Natural Language Processing for Understanding Contraceptive Use at the VA En línea: http://dx.doi.org/10.1007/978-3-319-23294-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41524 Advances in Healthcare Informatics and Analytics [documento electrónico] / Ashish Gupta ; SpringerLink (Online service) ; Vimla L. Patel ; Robert A. Greenes . - Cham : Springer International Publishing : Imprint: Springer, 2016 . - XI, 262 p. 71 illus., 45 illus. in color : online resource. - (Annals of Information Systems, ISSN 1934-3221; 19) .
ISBN : 978-3-319-23294-2
Idioma : Inglés (eng)
Palabras clave: Business Health care management services administration informatics and Management Care Information Systems Applications (incl. Internet) Informatics Clasificación: 004:658 Informática de gestión. Comercio electrónico. Auditoría informática Resumen: This important new volume presents recent research in healthcare information technology and analytics. Individual chapters look at such issues as the impact of technology failure on electronic prescribing behavior in primary care; attitudes toward electronic health records; a latent growth modeling approach to understanding lifestyle decisions based on patient historical data; designing an integrated surgical care delivery system using axiomatic design and petri net modeling; and failure in a dynamic decision environment, particularly in treating patients with a chronic disease. Other chapters look at such topics as the impact of information technology integration in integrated delivery systems; operations and supply chain control for inventory management in a health system pharmacy; decision-theoretic assistants based on contextual gesture recognition; evaluating emergency response medical information systems; clinical decision support in critical care; virtual worlds in healthcare; and natural language processing for understanding contraceptive use at the VA Nota de contenido: The Impact of Technology Failure on Electronic Prescribing Behavior in Primary Care: A Case Study -- Individuals' Attitudes Towards Electronic Health Records - A Privacy Calculus Perspective -- Understanding Lifestyle Decisions Based on Patient Historical Data: A Latent Growth Modeling Approach -- Designing an Integrated Surgical Care Delivery System using Axiomatic Design and Petri Net Modeling -- Examining Failure in a Dynamic Decision Environment: Strategies for Treating Patients with a Chronic Disease -- An Empirical Investigation of the Impact of Information Technology Integration in Healthcare Integrated Delivery Systems -- Beyond the Use of Robotics: Operations and Supply Chain Control for Effective Inventory Management in a Health System Pharmacy -- Decision-Theoretic Assistants Based on Contextual Gesture Recognition -- Developing a Method to Evaluate Emergency Response Medical Information Systems -- Effective Use of Clinical Decision Support in Critical Care: Using Risk Assessment Framework for Evaluation of a Computerized Weaning Protocol -- Virtual Worlds in Healthcare -- Natural Language Processing for Understanding Contraceptive Use at the VA En línea: http://dx.doi.org/10.1007/978-3-319-23294-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41524 Ejemplares
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Título : Optimization and Data Analysis in Biomedical Informatics Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Panos M. Pardalos ; Thomas F. Coleman ; Petros Xanthopoulos Editorial: New York, NY : Springer New York Fecha de publicación: 2012 Otro editor: Imprint: Springer Colección: Fields Institute Communications, ISSN 1069-5265 num. 63 Número de páginas: VIII, 200 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-4133-5 Idioma : Inglés (eng) Palabras clave: Mathematics Biochemical engineering Health informatics Data mining Mathematical optimization Optimization Mining and Knowledge Discovery Informatics Engineering Clasificación: 51 Matemáticas Resumen: This volume covers some of the topics that are related to the rapidly growing field of biomedical informatics. In June 11–12, 2010 a workshop entitled ‘Optimization and Data Analysis in Biomedical Informatics’ was organized at The Fields Institute. Following this event, invited contributions were gathered based on the talks presented at the workshop, and additional invited chapters were solicited from leading experts. In this publication, the authors share their expertise in the form of state-of-the-art research and review chapters, bringing together researchers from different disciplines and emphasizing the value of mathematical methods in the areas of clinical sciences. This work is targeted to applied mathematicians, computer scientists, industrial engineers, and clinical scientists who are interested in exploring emerging and fascinating interdisciplinary topics of research. It is designed to further stimulate and enhance fruitful collaborations between scientists from different disciplines Nota de contenido: Preface -- Novel Biclustering Methods for Re-Ordering Data Matrices (P.A. DiMaggio Jr., A. Subramani, C.A. Floudas) -- Clustering Time Series Data with Distance Matrices (O. Seref, W.A. Chaovalitwongse) -- Mathematical Models of Supervised Learning and Application to Medical Diagnosis (R. De Asmundis, M.R. Guarracino) -- Predictive Model for Early Detection of Mild Cognitive Impairment and Alzheimer’s Disease (E.K. Lee, T.-L. Wu, F. Goldstein, A. Levey) -- Strategies for Bias Reduction in Estimation of Marginal Means with Data Missing at Random (B. Chen, R.J. Cook) -- Cardiovascular Informatics: A Perspective on Promises and Challenges of IVUS Data Analysis (I.A. Kakadiaris, E.G.M. Ruiz) -- An Introduction to the Analysis of Functional Magnetic Resonance Imaging Data (G. Gazzola, C.-A. Chou, M.K. Jeong, W.A. Chaovalitwongse) -- Sensory Neuroprostheses: From Signal Processing and Coding to Neural Plasticity in the Central Nervous System (F. Panetsos, A. Sanchez-Jimenez, C. Herrera-Rincon) -- EEG Based Biomarker Identification Using Graph-Theoretic Concepts: Case Study in Alcoholism (V. Sakkalis, K. Marias) -- Maximal Connectivity and Constraints in the Human Brain (R.V. Belavkin) En línea: http://dx.doi.org/10.1007/978-1-4614-4133-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32836 Optimization and Data Analysis in Biomedical Informatics [documento electrónico] / SpringerLink (Online service) ; Panos M. Pardalos ; Thomas F. Coleman ; Petros Xanthopoulos . - New York, NY : Springer New York : Imprint: Springer, 2012 . - VIII, 200 p : online resource. - (Fields Institute Communications, ISSN 1069-5265; 63) .
ISBN : 978-1-4614-4133-5
Idioma : Inglés (eng)
Palabras clave: Mathematics Biochemical engineering Health informatics Data mining Mathematical optimization Optimization Mining and Knowledge Discovery Informatics Engineering Clasificación: 51 Matemáticas Resumen: This volume covers some of the topics that are related to the rapidly growing field of biomedical informatics. In June 11–12, 2010 a workshop entitled ‘Optimization and Data Analysis in Biomedical Informatics’ was organized at The Fields Institute. Following this event, invited contributions were gathered based on the talks presented at the workshop, and additional invited chapters were solicited from leading experts. In this publication, the authors share their expertise in the form of state-of-the-art research and review chapters, bringing together researchers from different disciplines and emphasizing the value of mathematical methods in the areas of clinical sciences. This work is targeted to applied mathematicians, computer scientists, industrial engineers, and clinical scientists who are interested in exploring emerging and fascinating interdisciplinary topics of research. It is designed to further stimulate and enhance fruitful collaborations between scientists from different disciplines Nota de contenido: Preface -- Novel Biclustering Methods for Re-Ordering Data Matrices (P.A. DiMaggio Jr., A. Subramani, C.A. Floudas) -- Clustering Time Series Data with Distance Matrices (O. Seref, W.A. Chaovalitwongse) -- Mathematical Models of Supervised Learning and Application to Medical Diagnosis (R. De Asmundis, M.R. Guarracino) -- Predictive Model for Early Detection of Mild Cognitive Impairment and Alzheimer’s Disease (E.K. Lee, T.-L. Wu, F. Goldstein, A. Levey) -- Strategies for Bias Reduction in Estimation of Marginal Means with Data Missing at Random (B. Chen, R.J. Cook) -- Cardiovascular Informatics: A Perspective on Promises and Challenges of IVUS Data Analysis (I.A. Kakadiaris, E.G.M. Ruiz) -- An Introduction to the Analysis of Functional Magnetic Resonance Imaging Data (G. Gazzola, C.-A. Chou, M.K. Jeong, W.A. Chaovalitwongse) -- Sensory Neuroprostheses: From Signal Processing and Coding to Neural Plasticity in the Central Nervous System (F. Panetsos, A. Sanchez-Jimenez, C. Herrera-Rincon) -- EEG Based Biomarker Identification Using Graph-Theoretic Concepts: Case Study in Alcoholism (V. Sakkalis, K. Marias) -- Maximal Connectivity and Constraints in the Human Brain (R.V. Belavkin) En línea: http://dx.doi.org/10.1007/978-1-4614-4133-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32836 Ejemplares
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Título : Data Mining for Biomarker Discovery Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Panos M. Pardalos ; Petros Xanthopoulos ; Michalis Zervakis Editorial: Boston, MA : Springer US Fecha de publicación: 2012 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 65 Número de páginas: XIV, 246 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-2107-8 Idioma : Inglés (eng) Palabras clave: Mathematics Biochemical engineering Health informatics Data mining Operations research Management science Research, Science Mining and Knowledge Discovery Informatics Engineering Clasificación: 51 Matemáticas Resumen: Data Mining for Biomarker Discovery is designed to motivate collaboration and discussion among various disciplines and will be of interest to students and researchers in engineering, computer science, applied mathematics, medicine, and anyone interested in the interdisciplinary application of data mining techniques. Biomarker discovery is an important area of biomedical research that can lead to significant breakthroughs in disease analysis and targeted therapy. Moreover, the discovery and management of new biomarkers is a challenging and attractive problem in the emerging field of biomedical informatics. This volume is a collection of state-of-the-art research from select participants of the “International Conference on Biomedical Data and Knowledge Mining: Towards Biomarker Discovery,” held July 7-9, 2010 in Chania, Greece. Contributions focus on biomarker data integration, information retrieval methods, and statistical machine learning techniques, all presented with new results, models, and algorithms Nota de contenido: Preface -- 1. Data Mining Strategies Applied in Brain Injury Models (S. Mondello, F. Kobeissy, I. Fingers, Z. Zhang, R.L. Hayes, K.K.W. Wang) -- Application of Decomposition Methods in the Filtering of Event Related Potentials (K. Michalopoulos, V. Iordanidou, M. Zervakis) -- 3. EEG Features as Biomarkers for Discrimination of Pre-ictal states (A. Tsimpiris, D. Kugiumtzis) -- 4. Using Relative Power Asymmetry as a Biomarker for Classifying Psychogenic Non-epileptic Seizure and Complex Partial Seizure Patients (J.H. Chien, D.-S. Shiau, J.C. Sackellares, J.J. Halford, K.M. Kelly, P.M. Pardalos) -- 5. Classification of Tree and Network Topology Structures in Medical Images (A. Skoura, V. Megalooikonomou, A. Diamantopolous, G.C. Kagadis, D. Karnabatidis) -- 6. A Framework for Multi-Modal Imagin Biomarker Extraction with Application to Brain MRI (K. Maria, V. Sakkalis, N. Graf) -- 7. A Statistical Diagnostic Decision Support Tool Using Magnetic Resonance Spectroscopy Data (E. Tsolaki, E. Kousi, E. Kapsalaki, I. Dimou, K. Theodorou, G. C. Manikis, C. Kappas, I. Tsougos) -- 8. Data Mining for Cancer Biomarkers with Raman Spectroscopy (M.B.Fenn, V. Pappu) -- 9. Nonlinear Recognition Methods for Oncological Pathologies (G. Patrizi, V. Pietropaolo, A. Carbone, R. De Leone, L. Di Giacomo, V. Losaco, G. Patrizi) -- 10. Studying Connectivity Properties in Human Protein Interation Network in Cancer Pathway (V. Tomaino, A. Arulselvan, P. Veltri, P.M. Pardalos) -- 11. Modeling of Oral Cancer Progression Using Dynamic Bayesian Networks (K.P. Exarchos, G. Rigas, Y. Golestsis, D.I. Fotiadis) -- 12. Neuromuscular Alterations of Upper Airway Muscles in Patients with OSAS Radiological and Histopathological Findings (P. Drakatos, D. Lykouras, F. Sampsonas, K. Karkoulias, K. Spiropoulos) -- 13. Data Mining System Applied to Population Databases for Studies on Lung Cancer (J. Pérez, F. Henriques, R. Santaolaya, O. Fragoso, A. Mexicano) En línea: http://dx.doi.org/10.1007/978-1-4614-2107-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32782 Data Mining for Biomarker Discovery [documento electrónico] / SpringerLink (Online service) ; Panos M. Pardalos ; Petros Xanthopoulos ; Michalis Zervakis . - Boston, MA : Springer US, 2012 . - XIV, 246 p : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 65) .
ISBN : 978-1-4614-2107-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Biochemical engineering Health informatics Data mining Operations research Management science Research, Science Mining and Knowledge Discovery Informatics Engineering Clasificación: 51 Matemáticas Resumen: Data Mining for Biomarker Discovery is designed to motivate collaboration and discussion among various disciplines and will be of interest to students and researchers in engineering, computer science, applied mathematics, medicine, and anyone interested in the interdisciplinary application of data mining techniques. Biomarker discovery is an important area of biomedical research that can lead to significant breakthroughs in disease analysis and targeted therapy. Moreover, the discovery and management of new biomarkers is a challenging and attractive problem in the emerging field of biomedical informatics. This volume is a collection of state-of-the-art research from select participants of the “International Conference on Biomedical Data and Knowledge Mining: Towards Biomarker Discovery,” held July 7-9, 2010 in Chania, Greece. Contributions focus on biomarker data integration, information retrieval methods, and statistical machine learning techniques, all presented with new results, models, and algorithms Nota de contenido: Preface -- 1. Data Mining Strategies Applied in Brain Injury Models (S. Mondello, F. Kobeissy, I. Fingers, Z. Zhang, R.L. Hayes, K.K.W. Wang) -- Application of Decomposition Methods in the Filtering of Event Related Potentials (K. Michalopoulos, V. Iordanidou, M. Zervakis) -- 3. EEG Features as Biomarkers for Discrimination of Pre-ictal states (A. Tsimpiris, D. Kugiumtzis) -- 4. Using Relative Power Asymmetry as a Biomarker for Classifying Psychogenic Non-epileptic Seizure and Complex Partial Seizure Patients (J.H. Chien, D.-S. Shiau, J.C. Sackellares, J.J. Halford, K.M. Kelly, P.M. Pardalos) -- 5. Classification of Tree and Network Topology Structures in Medical Images (A. Skoura, V. Megalooikonomou, A. Diamantopolous, G.C. Kagadis, D. Karnabatidis) -- 6. A Framework for Multi-Modal Imagin Biomarker Extraction with Application to Brain MRI (K. Maria, V. Sakkalis, N. Graf) -- 7. A Statistical Diagnostic Decision Support Tool Using Magnetic Resonance Spectroscopy Data (E. Tsolaki, E. Kousi, E. Kapsalaki, I. Dimou, K. Theodorou, G. C. Manikis, C. Kappas, I. Tsougos) -- 8. Data Mining for Cancer Biomarkers with Raman Spectroscopy (M.B.Fenn, V. Pappu) -- 9. Nonlinear Recognition Methods for Oncological Pathologies (G. Patrizi, V. Pietropaolo, A. Carbone, R. De Leone, L. Di Giacomo, V. Losaco, G. Patrizi) -- 10. Studying Connectivity Properties in Human Protein Interation Network in Cancer Pathway (V. Tomaino, A. Arulselvan, P. Veltri, P.M. Pardalos) -- 11. Modeling of Oral Cancer Progression Using Dynamic Bayesian Networks (K.P. Exarchos, G. Rigas, Y. Golestsis, D.I. Fotiadis) -- 12. Neuromuscular Alterations of Upper Airway Muscles in Patients with OSAS Radiological and Histopathological Findings (P. Drakatos, D. Lykouras, F. Sampsonas, K. Karkoulias, K. Spiropoulos) -- 13. Data Mining System Applied to Population Databases for Studies on Lung Cancer (J. Pérez, F. Henriques, R. Santaolaya, O. Fragoso, A. Mexicano) En línea: http://dx.doi.org/10.1007/978-1-4614-2107-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32782 Ejemplares
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Título : Applying Quantitative Bias Analysis to Epidemiologic Data Tipo de documento: documento electrónico Autores: Timothy L. Lash ; SpringerLink (Online service) ; Matthew P. Fox ; Aliza K. Fink Editorial: New York, NY : Springer New York Fecha de publicación: 2009 Colección: Statistics for Biology and Health, ISSN 1431-8776 Número de páginas: XII, 192 p Il.: online resource ISBN/ISSN/DL: 978-0-387-87959-8 Idioma : Inglés (eng) Palabras clave: Medicine Public health Health informatics Infectious diseases Epidemiology Statistics Social sciences & Informatics for Life Sciences, Medicine, Sciences Methodology of the Diseases Clasificación: 51 Matemáticas Resumen: This text provides the first-ever compilation of bias analysis methods for use with epidemiologic data. It guides the reader through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and classification errors. Subsequent chapters extend these methods to multidimensional bias analysis, probabilistic bias analysis, and multiple bias analysis. The text concludes with a chapter on presentation and interpretation of bias analysis results. Although techniques for bias analysis have been available for decades, these methods are considered difficult to implement. This text not only gathers the methods into one cohesive and organized presentation, it also explains the methods in a consistent fashion and provides customizable spreadsheets to implement the solutions. By downloading the spreadsheets (available at links provided in the text), readers can follow the examples in the text and then modify the spreadsheet to complete their own bias analyses. Readers without experience using quantitative bias analysis will be able to design, implement, and understand bias analyses that address the major threats to the validity of epidemiologic research. More experienced analysts will value the compilation of bias analysis methods and links to software tools that facilitate their projects. Timothy L. Lash is an Associate Professor of Epidemiology and Matthew P. Fox is an Assistant Professor in the Center for International Health and Development, both at the Boston University School of Public Health. Aliza K. Fink is a Project Manager at Macro International in Bethesda, Maryland. Together they have organized and presented many day-long workshops on the methods of quantitative bias analysis. In addition, they have collaborated on many papers that developed methods of quantitative bias analysis or used the methods in the data analysis Nota de contenido: Introduction, Objectives, and an Alternative -- A Guide to Implementing Quantitative Bias Analysis -- Data Sources for Bias Analysis -- Selection Bias -- Unmeasured and Unknown Confounders -- Misclassification -- Multidimensional Bias Analysis -- Probabilistic Bias Analysis -- Multiple Bias Modeling -- Presentation and Inference En línea: http://dx.doi.org/10.1007/978-0-387-87959-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33910 Applying Quantitative Bias Analysis to Epidemiologic Data [documento electrónico] / Timothy L. Lash ; SpringerLink (Online service) ; Matthew P. Fox ; Aliza K. Fink . - New York, NY : Springer New York, 2009 . - XII, 192 p : online resource. - (Statistics for Biology and Health, ISSN 1431-8776) .
ISBN : 978-0-387-87959-8
Idioma : Inglés (eng)
Palabras clave: Medicine Public health Health informatics Infectious diseases Epidemiology Statistics Social sciences & Informatics for Life Sciences, Medicine, Sciences Methodology of the Diseases Clasificación: 51 Matemáticas Resumen: This text provides the first-ever compilation of bias analysis methods for use with epidemiologic data. It guides the reader through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and classification errors. Subsequent chapters extend these methods to multidimensional bias analysis, probabilistic bias analysis, and multiple bias analysis. The text concludes with a chapter on presentation and interpretation of bias analysis results. Although techniques for bias analysis have been available for decades, these methods are considered difficult to implement. This text not only gathers the methods into one cohesive and organized presentation, it also explains the methods in a consistent fashion and provides customizable spreadsheets to implement the solutions. By downloading the spreadsheets (available at links provided in the text), readers can follow the examples in the text and then modify the spreadsheet to complete their own bias analyses. Readers without experience using quantitative bias analysis will be able to design, implement, and understand bias analyses that address the major threats to the validity of epidemiologic research. More experienced analysts will value the compilation of bias analysis methods and links to software tools that facilitate their projects. Timothy L. Lash is an Associate Professor of Epidemiology and Matthew P. Fox is an Assistant Professor in the Center for International Health and Development, both at the Boston University School of Public Health. Aliza K. Fink is a Project Manager at Macro International in Bethesda, Maryland. Together they have organized and presented many day-long workshops on the methods of quantitative bias analysis. In addition, they have collaborated on many papers that developed methods of quantitative bias analysis or used the methods in the data analysis Nota de contenido: Introduction, Objectives, and an Alternative -- A Guide to Implementing Quantitative Bias Analysis -- Data Sources for Bias Analysis -- Selection Bias -- Unmeasured and Unknown Confounders -- Misclassification -- Multidimensional Bias Analysis -- Probabilistic Bias Analysis -- Multiple Bias Modeling -- Presentation and Inference En línea: http://dx.doi.org/10.1007/978-0-387-87959-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33910 Ejemplares
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Título : Boundaryless Hospital : Rethink and Redefine Health Care Management Tipo de documento: documento electrónico Autores: Horst Albach ; SpringerLink (Online service) ; Heribert Meffert ; Andreas Pinkwart ; Ralf Reichwald ; Wilfried von Eiff Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2016 Otro editor: Imprint: Springer Número de páginas: X, 360 p. 76 illus., 51 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-662-49012-9 Idioma : Inglés (eng) Palabras clave: Business Health care management services administration Public health informatics economics Medical and Management Care Economics Informatics Clasificación: 614.2 Organización pública y profesional de la sanidad Resumen: This book discusses current health care challenges and new strategies for innovative solutions in this area from an interdisciplinary perspective of health care management, business economics, and medicine. It presents the idea of a "boundaryless hospital", a conceptual model of a patient-centric, value-based health network that overcomes typical sectorial, organizational, and geographical boundaries and offers greater efficiency and better quality outcomes for patients. Effective health care for a growing and aging population is a major challenge for economies all over the world. New breakthroughs in medical technology and pharmaceuticals as well as digitization provide scope for more efficiency and for a better quality of health care. Novel organization forms and management concepts are key for coping with the increasing cost pressure observed in most health care systems. The contributions in this volume present innovative strategies for developing and implementing the concept of a boundaryless hospital. They highlight experiences from various countries and with different treatments. The book project was initiated and carried out by the Center for Advanced Studies in Management (CASiM), the interdisciplinary research center of HHL Leipzig Graduate School of Management for business administration in the 21st century Nota de contenido: Part I: Challenges and Opportunities of Health Care Management in the 21st Century -- Network Management as a Strategic Option for the Boundaryless Hospital -- Cancer Care: New Value Chains Challenge German Hospital Structures -- Health Care under Market Conditions from an Ethical Point of View -- Part II: Seizing the Opportunities across Countries and Sub-disciplines -- Pathways towards Health Care Systems with a Chronic-care Focus -- The Importance of Time in Developing a Boundaryless Hospital -- Networked Care: IT-Assisted Tools (Wearable Sensors) for Patients at Risk -- Carving Out a Place for New Health Care Occupations -- Personalized Medicine Challenges the Health Care System -- Part III: Meeting the Challenges -- Measuring Performance in Hospitals -- The "Boundaryless Hospital" Through Risk Management Approach: A Case Study of the Accident and Emergency Unit of a Tertiary-care Hospital in Malta -- Leveraging the Value for Health Care Providers Using Clinical Workflow Analytics -- Role and Function of the Emergency Department in a Boundaryless Hospital -- Stakeholder Involvement Transcends Boundaries in University Hospitals -- The Hospital Situation for Diseases Requiring Sophisticated Examinations Using Epilepsy as an Example -- Identifying the Adoption Process for Electronic Health Services -- Infection Prevention Networks and the Role of the Boundaryless Hospital -- Part IV: The Boundaryless Hospital from the Patients' Perspective -- From Community Analysis to Prototype: Creating and Online Matchmaker for Inflammatory Bowel Disease Patients -- Patients' Complaints and Managers' Responses as a Process of Institutional Interaction -- Innovations by and for Patients, and their Place in the Future Health Care System. En línea: http://dx.doi.org/10.1007/978-3-662-49012-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41206 Boundaryless Hospital : Rethink and Redefine Health Care Management [documento electrónico] / Horst Albach ; SpringerLink (Online service) ; Heribert Meffert ; Andreas Pinkwart ; Ralf Reichwald ; Wilfried von Eiff . - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016 . - X, 360 p. 76 illus., 51 illus. in color : online resource.
ISBN : 978-3-662-49012-9
Idioma : Inglés (eng)
Palabras clave: Business Health care management services administration Public health informatics economics Medical and Management Care Economics Informatics Clasificación: 614.2 Organización pública y profesional de la sanidad Resumen: This book discusses current health care challenges and new strategies for innovative solutions in this area from an interdisciplinary perspective of health care management, business economics, and medicine. It presents the idea of a "boundaryless hospital", a conceptual model of a patient-centric, value-based health network that overcomes typical sectorial, organizational, and geographical boundaries and offers greater efficiency and better quality outcomes for patients. Effective health care for a growing and aging population is a major challenge for economies all over the world. New breakthroughs in medical technology and pharmaceuticals as well as digitization provide scope for more efficiency and for a better quality of health care. Novel organization forms and management concepts are key for coping with the increasing cost pressure observed in most health care systems. The contributions in this volume present innovative strategies for developing and implementing the concept of a boundaryless hospital. They highlight experiences from various countries and with different treatments. The book project was initiated and carried out by the Center for Advanced Studies in Management (CASiM), the interdisciplinary research center of HHL Leipzig Graduate School of Management for business administration in the 21st century Nota de contenido: Part I: Challenges and Opportunities of Health Care Management in the 21st Century -- Network Management as a Strategic Option for the Boundaryless Hospital -- Cancer Care: New Value Chains Challenge German Hospital Structures -- Health Care under Market Conditions from an Ethical Point of View -- Part II: Seizing the Opportunities across Countries and Sub-disciplines -- Pathways towards Health Care Systems with a Chronic-care Focus -- The Importance of Time in Developing a Boundaryless Hospital -- Networked Care: IT-Assisted Tools (Wearable Sensors) for Patients at Risk -- Carving Out a Place for New Health Care Occupations -- Personalized Medicine Challenges the Health Care System -- Part III: Meeting the Challenges -- Measuring Performance in Hospitals -- The "Boundaryless Hospital" Through Risk Management Approach: A Case Study of the Accident and Emergency Unit of a Tertiary-care Hospital in Malta -- Leveraging the Value for Health Care Providers Using Clinical Workflow Analytics -- Role and Function of the Emergency Department in a Boundaryless Hospital -- Stakeholder Involvement Transcends Boundaries in University Hospitals -- The Hospital Situation for Diseases Requiring Sophisticated Examinations Using Epilepsy as an Example -- Identifying the Adoption Process for Electronic Health Services -- Infection Prevention Networks and the Role of the Boundaryless Hospital -- Part IV: The Boundaryless Hospital from the Patients' Perspective -- From Community Analysis to Prototype: Creating and Online Matchmaker for Inflammatory Bowel Disease Patients -- Patients' Complaints and Managers' Responses as a Process of Institutional Interaction -- Innovations by and for Patients, and their Place in the Future Health Care System. En línea: http://dx.doi.org/10.1007/978-3-662-49012-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41206 Ejemplares
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