The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform
Eugene C Nelson - One of the best experts on this subject based on the ideXlab platform.
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quality by design a clinical microsystems approach
2010Co-Authors: Eugene C NelsonAbstract:List of Tables, Figures, and Exhibits. Foreword by Donald M. Berwick. Preface. Acknowledgments. Introduction. The Editors. The Contributors. PART ONE: CASES AND PRINCIPLES. 1. Success Characteristics of High-Performing Microsystems: Learning from the Best (Eugene C. Nelson, Paul B. Batalden, Thomas P. Huber, Julie K. Johnson, Marjorie M. Godfrey, Linda A. Headrick,and John H. Wasson). 2. Developing High-Performing Microsystems (Eugene C. Nelson, Paul B. Batalden, William H. Edwards, Marjorie M. Godfrey, and Julie K. Johnson). 3. Leading Microsystems (Paul B. Batalden, Eugene C. Nelson, Julie K. Johnson, Marjorie M. Godfrey, Thomas P. Huber, Linda Kosnik, and Kerri Ashling). 4. Leading Macrosystems and Mesosystems for Microsystem Peak Performance (Paul B. Batalden, Eugene C. Nelson, Paul B. Gardent, and Marjorie M. Godfrey). 5. Developing Professionals and Improving Worklife (Thomas P. Huber, Marjorie M. Godfrey, Eugene C. Nelson, Julie K. Johnson, Christine Campbell, and Paul B. Batalden). 6. Planning Patient-Centered Services (Marjorie M. Godfrey, Eugene C. Nelson, John H. Wasson, Julie K. Johnson, and Paul B. Batalden). 7. Planning Patient-Centered Care (John H. Wasson, Marjorie M. Godfrey, Eugene C. Nelson, Julie K. Johnson, and Paul B. Batalden). 8. Improving Patient Safety (Julie K. Johnson, Paul Barach, Joseph P. Cravero, George T. Blike, Marjorie M. Godfrey, Paul B. Batalden, and Eugene C. Nelson). 9. Creating a Rich Information Environment (Eugene C. Nelson, Paul B. Batalden, Karen Homa, Marjorie M. Godfrey, Christine Campbell, Linda A. Headrick, Thomas P. Huber, Julie K. Johnson, and John H. Wasson). PART TWO: ACTIVATING THE ORGANIZATION AND THE DARTMOUTH MICROSYSTEM IMPROVEMENT CURRICULUM. 10. Overview of Path Forward and Introduction to Part Two. 11. Introduction to Microsystem Thinking. 12. Effective Meeting Skills I. 13. Assessing Your Microsystem with the 5 P's. 14. The Model for Improvement: PDSA!!. 15. Selecting Themes for Improvement. 16. Improvement Global Aim. 17. Process Mapping. 18. Specific Aim. 19. Cause and Effect Diagrams. 20. Effective Meeting Skills II: Brainstorming and Multi-Voting. 21. Change Concepts. 22. Measurement and Monitoring. 23. Action Plans and Gantt Charts. 24. Follow Through on Improvement: Storyboards, Data Walls, and Playbooks. 25. Conclusion: Continuing on the Path to Excellence. Appendix A: Primary Care Workbook. Name Index. Subject Index.
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clinical microsystems part 3 transformation of two hospitals using microsystem mesosystem and macrosystem strategies
The Joint Commission Journal on Quality and Patient Safety, 2008Co-Authors: Marjorie M. Godfrey, Craig N Melin, Stephen E Muething, Paul B Batalden, Eugene C NelsonAbstract:BACKGROUND: Two hospitals-a large, urban academic medical center and a rural, community hospital-have each chosen a similar microsystem-based approach to improvement, customizing the engagement of ...
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clinical microsystems part 1 the building blocks of health systems
The Joint Commission Journal on Quality and Patient Safety, 2008Co-Authors: Marjorie M. Godfrey, Scott A Berry, Albert E Bothe, Karen E Mckinley, Craig N Melin, Paul B Batalden, Eugene C Nelson, Stephen E MuethingAbstract:Article-at-a-Glance Background Wherever, however, and whenever health care is delivered—no matter the setting or population of patients—the body of knowledge on clinical microsystems can guide and support innovation and peak performance. Many health care leaders and staff at all levels of their organizations in many countries have adapted microsystem knowledge to their local settings. Clinical Microsystems: A Panoramic View: How Do Clinical Microsystems Fit Together? As the patient's journey of care seeking and care delivery takes place over time, he or she will move into and out of an assortment of clinical microsystems, such as a family practitioner's office, an emergency department, and an intensive care unit. This assortment of clinical microsystems—combined with the patient's own actions to improve or maintain health—can be viewed as the patient's unique health system. This patient-centric view of a health system is the foundation of second-generation development for clinical microsystems. Lessons from the Field These lessons, which are not comprehensive, can be organized under the familiar commands that are used to start a race: On Your Mark, Get Set, Go! … with a fourth category added—Reflect: Reviewing the Race. These insights are intended as guidance to organizations ready to strategically transform themselves. Conclusion Beginning to master and make use of microsystem principles and methods to attain macrosystem peak performance can help us knit together care in a fragmented health system, eschew archipelago building in favor of nation-building strategies, achieve safe and efficient care with reliable handoffs, and provide the best possible care and attain the best possible health outcomes.
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Microsystems in Health Care
2003Co-Authors: Julie J. Mohr, Marjorie M. Godfrey, Paul B Batalden, Paul Barach, Joseph P. Cravero, George T. Blike, Eugene C NelsonAbstract:As stated at the outset of the Microsystems in Health Care series, the health system is composed of a few basic parts—front-line clinical microsystems, overarching Macrosystems, and patient subpopulations needing care. (Part 1) Microsystems thinking makes several organizational assumptions: 1. Bigger systems (Macrosystems) are made of smaller systems 2. These smaller systems (microsystems) produce quality, safety, and cost outcomes at the front line of care 3. Ultimately the outcomes of the macrosystem can be no better than the microsystems of which it is composed In addition, the microsystem is the logical locus for linkage between vision and delivery and therefore can and should act as the “agent for change” within a macrosystem. If strategically driven and if the performance of each individual microsystem is optimized, the microsystems within a macrosystem can facilitate systematic transformation at all levels of the system. This article describes how the microsystem, as an agent for change, plays a critical and essential role in developing and deploying the macrosystem’s strategic plan.
Lorenz S. Cederbaum - One of the best experts on this subject based on the ideXlab platform.
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Quantum dynamics in Macrosystems with several coupled electronic states: hierarchy of effective Hamiltonians.
The Journal of chemical physics, 2007Co-Authors: Etienne Gindensperger, Lorenz S. CederbaumAbstract:We address the nonadiabatic quantum dynamics of Macrosystems with several coupled electronic states, taking into account the possibility of multistate conical intersections. The general situation of an arbitrary number of states and arbitrary number of nuclear degrees of freedom (modes) is considered. The macrosystem is decomposed into a system part carrying a few, strongly coupled modes and an environment, comprising the vast number of remaining modes. By successively transforming the modes of the environment, a hierarchy of effective Hamiltonians for the environment is constructed. Each effective Hamiltonian depends on a reduced number of effective modes, which carry cumulative effects. By considering the system’s Hamiltonian along with a few members of the hierarchy, it is shown mathematically by a moment analysis that the quantum dynamics of the entire macrosystem can be numerically exactly computed on a given time scale. The time scale wanted defines the number of effective Hamiltonians to be included. The contribution of the environment to the quantum dynamics of the macrosystem translates into a sequential coupling of effective modes. The wave function of the macrosystem is known in the full space of modes, allowing for the evaluation of observables such as the time-dependent individual excitation along modes of interest as well as spectra and electronic-population dynamics.
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Hierarchy of effective modes for the dynamics through conical intersections in Macrosystems
The Journal of chemical physics, 2007Co-Authors: Etienne Gindensperger, Horst Köppel, Lorenz S. CederbaumAbstract:An extension of the effective-mode theory for the short-time dynamics through conical intersections in Macrosystems [L. S. Cederbaum et al., Phys. Rev. Lett. 94, 113003 (2005)] is proposed. The macrosystem, containing a vast number of nuclear degrees of freedom (modes), is decomposed into a system part and an environment part. Only three effective modes are needed—together with the system’s modes—to accurately calculate low resolution spectra and the short-time dynamics of the entire macrosystem. Here, the authors propose an iterative scheme to construct a hierarchy of additional triplets of effective modes. This naturally extends the effective-mode formulation. By taking into account more and more triplets, the dynamics are accurately predicted for longer and longer times, and more resolved spectra can be calculated. Numerical examples are presented, computed using various numbers of additional effective modes.
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Short-time dynamics through conical intersections in Macrosystems. II. Applications
The Journal of chemical physics, 2006Co-Authors: Etienne Gindensperger, Irene Burghardt, Lorenz S. CederbaumAbstract:We present several numerical applications based upon the effective-mode formulation for the short-time dynamics through conical intersections in Macrosystems, as detailed in the preceding paper and first proposed by Cederbaum et al. [Phys. Rev. Lett. 94, 113003 (2005)]. The macrosystem, containing a vast number of nuclear degrees of freedom (modes), is decomposed into a system part and an environment part. Only three effective environmental modes are needed—together with the system’s modes—to accurately calculate the low resolution spectra and the short-time dynamics of the entire macrosystem. For the systems discussed here, results are compared to those of a full quantum wave-packet propagation. Some rules are extracted to provide general tendencies; these rules allow one to understand and predict the dynamical properties in more general situations where the exact quantum dynamics of the macrosystem is out of reach.
Etienne Gindensperger - One of the best experts on this subject based on the ideXlab platform.
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Quantum dynamics in Macrosystems with several coupled electronic states: hierarchy of effective Hamiltonians.
The Journal of chemical physics, 2007Co-Authors: Etienne Gindensperger, Lorenz S. CederbaumAbstract:We address the nonadiabatic quantum dynamics of Macrosystems with several coupled electronic states, taking into account the possibility of multistate conical intersections. The general situation of an arbitrary number of states and arbitrary number of nuclear degrees of freedom (modes) is considered. The macrosystem is decomposed into a system part carrying a few, strongly coupled modes and an environment, comprising the vast number of remaining modes. By successively transforming the modes of the environment, a hierarchy of effective Hamiltonians for the environment is constructed. Each effective Hamiltonian depends on a reduced number of effective modes, which carry cumulative effects. By considering the system’s Hamiltonian along with a few members of the hierarchy, it is shown mathematically by a moment analysis that the quantum dynamics of the entire macrosystem can be numerically exactly computed on a given time scale. The time scale wanted defines the number of effective Hamiltonians to be included. The contribution of the environment to the quantum dynamics of the macrosystem translates into a sequential coupling of effective modes. The wave function of the macrosystem is known in the full space of modes, allowing for the evaluation of observables such as the time-dependent individual excitation along modes of interest as well as spectra and electronic-population dynamics.
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Hierarchy of effective modes for the dynamics through conical intersections in Macrosystems
The Journal of chemical physics, 2007Co-Authors: Etienne Gindensperger, Horst Köppel, Lorenz S. CederbaumAbstract:An extension of the effective-mode theory for the short-time dynamics through conical intersections in Macrosystems [L. S. Cederbaum et al., Phys. Rev. Lett. 94, 113003 (2005)] is proposed. The macrosystem, containing a vast number of nuclear degrees of freedom (modes), is decomposed into a system part and an environment part. Only three effective modes are needed—together with the system’s modes—to accurately calculate low resolution spectra and the short-time dynamics of the entire macrosystem. Here, the authors propose an iterative scheme to construct a hierarchy of additional triplets of effective modes. This naturally extends the effective-mode formulation. By taking into account more and more triplets, the dynamics are accurately predicted for longer and longer times, and more resolved spectra can be calculated. Numerical examples are presented, computed using various numbers of additional effective modes.
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Short-time dynamics through conical intersections in Macrosystems. II. Applications
The Journal of chemical physics, 2006Co-Authors: Etienne Gindensperger, Irene Burghardt, Lorenz S. CederbaumAbstract:We present several numerical applications based upon the effective-mode formulation for the short-time dynamics through conical intersections in Macrosystems, as detailed in the preceding paper and first proposed by Cederbaum et al. [Phys. Rev. Lett. 94, 113003 (2005)]. The macrosystem, containing a vast number of nuclear degrees of freedom (modes), is decomposed into a system part and an environment part. Only three effective environmental modes are needed—together with the system’s modes—to accurately calculate the low resolution spectra and the short-time dynamics of the entire macrosystem. For the systems discussed here, results are compared to those of a full quantum wave-packet propagation. Some rules are extracted to provide general tendencies; these rules allow one to understand and predict the dynamical properties in more general situations where the exact quantum dynamics of the macrosystem is out of reach.
Stephen E Muething - One of the best experts on this subject based on the ideXlab platform.
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clinical microsystems part 3 transformation of two hospitals using microsystem mesosystem and macrosystem strategies
The Joint Commission Journal on Quality and Patient Safety, 2008Co-Authors: Marjorie M. Godfrey, Craig N Melin, Stephen E Muething, Paul B Batalden, Eugene C NelsonAbstract:BACKGROUND: Two hospitals-a large, urban academic medical center and a rural, community hospital-have each chosen a similar microsystem-based approach to improvement, customizing the engagement of ...
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clinical microsystems part 1 the building blocks of health systems
The Joint Commission Journal on Quality and Patient Safety, 2008Co-Authors: Marjorie M. Godfrey, Scott A Berry, Albert E Bothe, Karen E Mckinley, Craig N Melin, Paul B Batalden, Eugene C Nelson, Stephen E MuethingAbstract:Article-at-a-Glance Background Wherever, however, and whenever health care is delivered—no matter the setting or population of patients—the body of knowledge on clinical microsystems can guide and support innovation and peak performance. Many health care leaders and staff at all levels of their organizations in many countries have adapted microsystem knowledge to their local settings. Clinical Microsystems: A Panoramic View: How Do Clinical Microsystems Fit Together? As the patient's journey of care seeking and care delivery takes place over time, he or she will move into and out of an assortment of clinical microsystems, such as a family practitioner's office, an emergency department, and an intensive care unit. This assortment of clinical microsystems—combined with the patient's own actions to improve or maintain health—can be viewed as the patient's unique health system. This patient-centric view of a health system is the foundation of second-generation development for clinical microsystems. Lessons from the Field These lessons, which are not comprehensive, can be organized under the familiar commands that are used to start a race: On Your Mark, Get Set, Go! … with a fourth category added—Reflect: Reviewing the Race. These insights are intended as guidance to organizations ready to strategically transform themselves. Conclusion Beginning to master and make use of microsystem principles and methods to attain macrosystem peak performance can help us knit together care in a fragmented health system, eschew archipelago building in favor of nation-building strategies, achieve safe and efficient care with reliable handoffs, and provide the best possible care and attain the best possible health outcomes.
Craig N Melin - One of the best experts on this subject based on the ideXlab platform.
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clinical microsystems part 3 transformation of two hospitals using microsystem mesosystem and macrosystem strategies
The Joint Commission Journal on Quality and Patient Safety, 2008Co-Authors: Marjorie M. Godfrey, Craig N Melin, Stephen E Muething, Paul B Batalden, Eugene C NelsonAbstract:BACKGROUND: Two hospitals-a large, urban academic medical center and a rural, community hospital-have each chosen a similar microsystem-based approach to improvement, customizing the engagement of ...
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clinical microsystems part 1 the building blocks of health systems
The Joint Commission Journal on Quality and Patient Safety, 2008Co-Authors: Marjorie M. Godfrey, Scott A Berry, Albert E Bothe, Karen E Mckinley, Craig N Melin, Paul B Batalden, Eugene C Nelson, Stephen E MuethingAbstract:Article-at-a-Glance Background Wherever, however, and whenever health care is delivered—no matter the setting or population of patients—the body of knowledge on clinical microsystems can guide and support innovation and peak performance. Many health care leaders and staff at all levels of their organizations in many countries have adapted microsystem knowledge to their local settings. Clinical Microsystems: A Panoramic View: How Do Clinical Microsystems Fit Together? As the patient's journey of care seeking and care delivery takes place over time, he or she will move into and out of an assortment of clinical microsystems, such as a family practitioner's office, an emergency department, and an intensive care unit. This assortment of clinical microsystems—combined with the patient's own actions to improve or maintain health—can be viewed as the patient's unique health system. This patient-centric view of a health system is the foundation of second-generation development for clinical microsystems. Lessons from the Field These lessons, which are not comprehensive, can be organized under the familiar commands that are used to start a race: On Your Mark, Get Set, Go! … with a fourth category added—Reflect: Reviewing the Race. These insights are intended as guidance to organizations ready to strategically transform themselves. Conclusion Beginning to master and make use of microsystem principles and methods to attain macrosystem peak performance can help us knit together care in a fragmented health system, eschew archipelago building in favor of nation-building strategies, achieve safe and efficient care with reliable handoffs, and provide the best possible care and attain the best possible health outcomes.
