Handbook of systems and complexity in health
Complexity (Philosophy) Medical care Delivery of Health Care Nursing sähkökirjat
Springer
2013
EISBN 9781461449980
1: Complexity in health: an introduction.
2: Complexity, uncertainty and mess as the links between science and the humanities in health care.
3: Understanding complex systems.
4: The complex nature of knowledge.
5: Mathematical principles: Tales of tails.
6: Modelling.
7: A methodology for the analysis of medical data.
8: Psychological rhythmicities.
9: Modeling illness and recovery with nonlinear dynamics.
10: Homeostasis: the dynamic self-regulatory process that maintains health and buffers against disease.
11: Fractals in physiology and medicine.
12: Bio-complexity: challenging reductionism.
13: Trying to make sense of health.
14: Picture health.
15: Health: a personal complex-adaptive state.
16: Understanding health by building better bio-medical models.
17: Health: A systems- and complexity-based definition.
18: Complexities of the consultation.
19: Inflammation through a psychoneuroimmunological lens.
20: Diabetes control: insights from complexity science.
21: Complexity and the onset of psychosis.
22: Understanding intimate partner violence through its dynamics.
23: Miltilevel interdependencies and constraints in panic disorder: many triggers, few responses.
24: Nonlinear relations of cardiovascular risk factors to neuopsychological functions and dementia.
25: Pain and complex adaptive system theory.
26: Complexity in movement disorders: a systems approach to intervention.
27: Avoidable hospitalizations in older adults.
28: Continuous multiorgan variability monitoring in critucally ill patients: complexity science at the bedside.
29: An overview of complexity theory: understanding primary care as a complex adaptive system.
30: Real-time analytics and quality of care.
31: Medical sociology and case-based complexity science: a user's guide.
32: The drug prescription process: a network medicine approach.
33: Applications of complex dynamics: an approach to refractory health policy interventions.
34: Designing for health promotion, social innovation, and complexity: the CoNEKTR model for wicked problems.
35: They dynamical behaviours of diseases in Africa.
36: Health transition funds initiatives: implications for health system reform and evaluation.
37: Putting complexity to work: supporting practitioners in health systems.
38: Implementing adaptive health practice: a complexity-based philosophy of health care.
39: Mayo Clinic: making complex healthcare simpler.
40: Embracing uncertainty: complexity-inspired innovations at Billings Clinic.
41: A complexity science perspective of orgainzational behavior in clinical microsystems.
42: Reverse the epidemic tides of unhealthy habits: personal, professional, and leadership challenges.
43: Health professions education: complexity, teaching, and learning.
44: Understanding clinical complexity through conversational learning in medical social networks: implementing user-driven health care.
45: Making sense: from complex systems theories, models, and analytics to adapting actions and practices in health and health care - 46: Modeling the paradox of primary care.
47: Healthcare reform: the need for a complex adaptive systems approach.
48: A complexity science approach to healthcare costs and quality.
49: Opportunities in delivery of preventive services in retail settings.
50: Complexity science in the future of behavioral medicine.
51: Systems medicine: a new model for health care.
This book is an introduction to health care as a complex adaptive system, a system that feeds back on itself. The first section introduces systems and complexity theory from a science, historical, epistemological, and technical perspective, describing the principles and mathematics. Subsequent sections build on the health applications of systems science theory, from human physiology to medical decision making, population health and health services research. The aim of the book is to introduce and expand on important population health issues from a systems and complexity perspective, highlight current research developments and their implications for health care delivery, consider their ethical implications, and to suggest directions for and potential pitfalls in the future.
2: Complexity, uncertainty and mess as the links between science and the humanities in health care.
3: Understanding complex systems.
4: The complex nature of knowledge.
5: Mathematical principles: Tales of tails.
6: Modelling.
7: A methodology for the analysis of medical data.
8: Psychological rhythmicities.
9: Modeling illness and recovery with nonlinear dynamics.
10: Homeostasis: the dynamic self-regulatory process that maintains health and buffers against disease.
11: Fractals in physiology and medicine.
12: Bio-complexity: challenging reductionism.
13: Trying to make sense of health.
14: Picture health.
15: Health: a personal complex-adaptive state.
16: Understanding health by building better bio-medical models.
17: Health: A systems- and complexity-based definition.
18: Complexities of the consultation.
19: Inflammation through a psychoneuroimmunological lens.
20: Diabetes control: insights from complexity science.
21: Complexity and the onset of psychosis.
22: Understanding intimate partner violence through its dynamics.
23: Miltilevel interdependencies and constraints in panic disorder: many triggers, few responses.
24: Nonlinear relations of cardiovascular risk factors to neuopsychological functions and dementia.
25: Pain and complex adaptive system theory.
26: Complexity in movement disorders: a systems approach to intervention.
27: Avoidable hospitalizations in older adults.
28: Continuous multiorgan variability monitoring in critucally ill patients: complexity science at the bedside.
29: An overview of complexity theory: understanding primary care as a complex adaptive system.
30: Real-time analytics and quality of care.
31: Medical sociology and case-based complexity science: a user's guide.
32: The drug prescription process: a network medicine approach.
33: Applications of complex dynamics: an approach to refractory health policy interventions.
34: Designing for health promotion, social innovation, and complexity: the CoNEKTR model for wicked problems.
35: They dynamical behaviours of diseases in Africa.
36: Health transition funds initiatives: implications for health system reform and evaluation.
37: Putting complexity to work: supporting practitioners in health systems.
38: Implementing adaptive health practice: a complexity-based philosophy of health care.
39: Mayo Clinic: making complex healthcare simpler.
40: Embracing uncertainty: complexity-inspired innovations at Billings Clinic.
41: A complexity science perspective of orgainzational behavior in clinical microsystems.
42: Reverse the epidemic tides of unhealthy habits: personal, professional, and leadership challenges.
43: Health professions education: complexity, teaching, and learning.
44: Understanding clinical complexity through conversational learning in medical social networks: implementing user-driven health care.
45: Making sense: from complex systems theories, models, and analytics to adapting actions and practices in health and health care - 46: Modeling the paradox of primary care.
47: Healthcare reform: the need for a complex adaptive systems approach.
48: A complexity science approach to healthcare costs and quality.
49: Opportunities in delivery of preventive services in retail settings.
50: Complexity science in the future of behavioral medicine.
51: Systems medicine: a new model for health care.
This book is an introduction to health care as a complex adaptive system, a system that feeds back on itself. The first section introduces systems and complexity theory from a science, historical, epistemological, and technical perspective, describing the principles and mathematics. Subsequent sections build on the health applications of systems science theory, from human physiology to medical decision making, population health and health services research. The aim of the book is to introduce and expand on important population health issues from a systems and complexity perspective, highlight current research developments and their implications for health care delivery, consider their ethical implications, and to suggest directions for and potential pitfalls in the future.
