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Hea Pol & Pla

Health systems are complex. Failing to take this complexity into account will continue to hinder efforts to achieve better and more equitable health outcomes. Understanding and working with complexity requires a paradigm shift from linear, reductionist approaches to dynamic and holistic approaches that appreciate the multifaceted and interconnected relationships among health system components, as well as the views, interests and power of its different actors and stakeholders (de Savigny and Adam 2009; Sheikh et al. 2011). Systems thinking helps to re-orient our perspectives by expanding our understanding of the characteristics of complex adaptive systems and identifying how this learning may be applied to system problems and the creation of potential solutions. Long used in other disciplines, systems thinking holds great yet largely untapped potential for health systems, particularly in low- and middle-income countries (LMICs) (Senge 1994; Sterman 2006; Shiell et al. 2008; Paina and Peters 2012).

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Handbook of Human Factors and Ergonomics in Health Care and Patient Safety, Second Edition

Handbook of Human Factors and Ergonomics in Health Care and Patient Safety, Second Edition | Healthcare Systems Modeling and Simulation (General) | Scoop.it
The first edition of Handbook of Human Factors and Ergonomics in Health Care and Patient Safety took the medical and ergonomics communities by storm with in-depth coverage of human factors and ergonomics research, concepts, theories, models, methods, and interventions and how they can be applied in health care. Other books focus on particular human factors and ergonomics issues such as human error or design of medical devices or a specific application such as emergency medicine. This book draws on both areas to provide a compendium of human factors and ergonomics issues relevant to health care and patient safety. The second edition takes a more practical approach with coverage of methods, interventions, and applications and a greater range of domains such as medication safety, surgery, anesthesia, and infection prevention. New topics include: work schedules error recovery telemedicine workflow analysis simulation health information technology development and design patient safety management Reflecting developments and advances in the five years since the first edition, the book explores medical technology and telemedicine and puts a special emphasis on the contributions of human factors and ergonomics to the improvement of patient safety and quality of care. In order to take patient safety to the next level, collaboration between human factors professionals and health care providers must occur. This book brings both groups closer to achieving that goal.
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A game-based approach towards facilitating decision making for perishable products: An example of blood supply chain

A game-based approach towards facilitating decision making for perishable products: An example of blood supply chain | Healthcare Systems Modeling and Simulation (General) | Scoop.it
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Technology foresight for medical device development through hybrid simulation: The ProHTA Project

Technology foresight for medical device development through hybrid simulation: The ProHTA Project | Healthcare Systems Modeling and Simulation (General) | Scoop.it
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Health Care Sector to Test Reflexes for Cyber Attack

Health Care Sector to Test Reflexes for Cyber Attack | Healthcare Systems Modeling and Simulation (General) | Scoop.it
HHS and industry will simulate assaults on networks underpinning the medical sector and test their ability to fight back.
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Geraldine Hamilton: Body parts on a chip | Video on TED.com

It's relatively easy to imagine a new medicine, a better cure for some disease. The hard part, though, is testing it, and that can delay promising new cures for years.
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Industrial Systems Engineering Principles in Health Care

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Human Factors and Ergonomics Discussions From Boise, Idaho | The Human Factor Advocate

Bringing Human Factors and Ergonomics Research to the Business World
Healthcare Systems Modeling and Simulation's insight:

Simulation and modeling can be seen in Human Factors.

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Modeling Healthcare from a Systems Perspective

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U of M-industry partnership boosts realism, improves outcomes in medical training

U of M-industry partnership boosts realism, improves outcomes in medical training | Healthcare Systems Modeling and Simulation (General) | Scoop.it
A unique collaboration combining academics and industry leaders is bringing a whole new level of realism to medical training technology.
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Making a Case for Organizational Change in Patient Safety Initiatives - Advances in Patient Safety: From Research to Implementation (Volume 2: Concepts and Methodology) - NCBI Bookshelf

Making a Case for Organizational Change in Patient Safety Initiatives - Advances in Patient Safety: From Research to Implementation (Volume 2: Concepts and Methodology) - NCBI Bookshelf | Healthcare Systems Modeling and Simulation (General) | Scoop.it
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Modeling Methods for Healthcare - Additive Analytics Blog

Modeling Methods for Healthcare - Additive Analytics Blog | Healthcare Systems Modeling and Simulation (General) | Scoop.it
Increasingly, research institutions as well as healthtech companies are using various statistical modeling techniques to solve healthcare problems.
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Int Qual Hea

Abstract

Objective The purpose of this study was to develop and test a simulation method of conducting investigation of the causality of adverse surgical outcomes.

Design Six hundred and thirty-one closed claims of a major medical malpractice insurance company were reviewed. Each case had undergone conventional root cause analysis (RCA). Claims were categorized by comparing the predominant underlying cause documented in the case files. Three cases were selected for simulation.

Setting All records (medical and legal) were analyzed. Simulation scenarios were developed by abstracting data from the records and then developing paper and electronic medical records, choosing appropriate study participants including test subjects and confederates, scripting the simulation and choosing the appropriate simulated environment.

Intervention In a simulation center, each case simulation was run 6–7 times and recorded, with participants debriefed at the conclusion.

Main Outcome Measures Sources of error identified during simulation were compared with those noted in the closed claims. Test subject decision-making was assessed qualitatively.

Results Simulation of adverse outcomes (SAOs) identified more system errors and revealed the way complex decisions were made by test subjects. Compared with conventional RCA, SAO identified root causes less focused on errors by individuals and more on systems-based error.

Conclusions The use of simulation for investigation of adverse surgical outcomes is feasible and identifies causes that may be more amenable to effective systems changes than conventional RCA. The information that SAO provides may facilitate the implementation of corrective measures, decreasing the risk of recurrence and improving patient safety

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Workflow Analysis, Design, Modeling and Simulation for the Multimodality Imaging Therapy Operating System (MITOS) - Springer

Workflow Analysis, Design, Modeling and Simulation for the Multimodality Imaging Therapy Operating System (MITOS) - Springer | Healthcare Systems Modeling and Simulation (General) | Scoop.it
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Discrete event simulation for health... [J Healthc Manag. 2013 Mar-Apr] - PubMed - NCBI

PubMed comprises more than 23 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.
Healthcare Systems Modeling and Simulation's insight:

This is the abstract of an article that was published in the Journal of Healthcare Management, which is a publication of the American College of Healthcare Executives.

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Rescooped by Healthcare Systems Modeling and Simulation from Science of Healthcare Delivery
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More tips for healthcare innovation: Inspiration from other industries - Healthcare IT News (blog)

More tips for healthcare innovation: Inspiration from other industries - Healthcare IT News (blog) | Healthcare Systems Modeling and Simulation (General) | Scoop.it
More tips for healthcare innovation: Inspiration from other industries
Healthcare IT News (blog)
An Innovisit is an organized outreach that sends staff members to visit businesses in other industries.

Via Thomas Faltin, Yue Dong
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Rescooped by Healthcare Systems Modeling and Simulation from Systems and Modeling in Everyday Life
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Building a Better Delivery System: A New Engineering/Health Care Partnership

Building a Better Delivery System:  A New Engineering/Health Care Partnership | Healthcare Systems Modeling and Simulation (General) | Scoop.it
In a joint effort between the National Academy of Engineering and the Institute of Medicine, this books attempts to bridge the knowledge/awareness divide separating health care professionals from their potential partners in systems engineering and...
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Applying Systems Engineering Principles in Improving Health Care Delivery

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Redirect Notice

Healthcare Systems Modeling and Simulation's insight:

This opens to a PDF of the Case Report Reducing Outpatient Waiting Time: A Simulation Modeling Approach by Afsoon Aeenparast 1, 2, *, Seyed Jamaleddin Tabibi 3, Kamran Shahanaghi 4, Mir Bahador Aryanejhad published in the Iranian Red Crescent Medical Journal. 2013 September; 15(9): e7908 (InPress).

DOI: 10.5812/ircmj.7908
Published Online 2013 September 05.

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Can three Northeast Ohio health care heavyweights tame big data? - Cleveland Business News - Northeast Ohio and Cleveland - Crain's Cleveland Business

Can three Northeast Ohio health care heavyweights tame big data? - Cleveland Business News - Northeast Ohio and Cleveland - Crain's Cleveland Business | Healthcare Systems Modeling and Simulation (General) | Scoop.it
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A Framework for Simulation and Modeling in Healthcare and Public Health: James H. Kaufman, Research Manager, Healthcare Information Infrastructure, IBM Research Almaden

A Framework for Simulation and Modeling in Healthcare and Public Health: James H. Kaufman, Research Manager, Healthcare Information Infrastructure, IBM Resea...
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Improving Healthcare with Simulation Workshop Series - SIMUL8

Improving Healthcare with Simulation Workshop Series - SIMUL8 | Healthcare Systems Modeling and Simulation (General) | Scoop.it
This series of one hour online workshops will look at the current issues facing the healthcare community and how they can be tackled using simulation.
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