Simulation Game Presentation Games For Health 2009
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Computer Gaming as a Learning Environment for Health Care Management, Policymaking, and Emergency Preparedness: Presented at 2009 Games for Health
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![Computer Gaming as a Learning Environment for Health Care Management, Policymaking, and Emergency Preparedness Presentation at Games for Health Conference Boston, Massachusetts June 12, 2009 Gary B. Hirsch Consultant, Creator of Learning Environments 7 Highgate Road, Wayland, Massachusetts 01778 USA [email_address] www.GaryBHirsch.com 1-508-653-0161](https://image.slidesharecdn.com/simulationgamepresentationgamesforhealth2009-090619104520-phpapp02/85/Simulation-Game-Presentation-Games-For-Health-2009-1-320.jpg)
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Organization’s success depends on quality of managers’ decisions
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Clarify the estimation of systems thinking
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Examine the difficulties of how a solitary framework (subsystem) end up incorporated into a bigger framework, and the significance for interfaces and coordinated testing.
Portray systems thinking as the psychological procedure of considering
Clarify systems of each sort and the focal point of systems thinking
Improve participants' comprehension of systems so they are better ready to distinguish the systems' influence indicates that lead wanted results.
Welcome the need to work specialized issues
To comprehend the propensities, tools and ideas relating to the reliant structures of dynamic systems.
To present the three unmistakable periods of Systems Thinking:
Understanding the System & Mapping the System
Making a move through Systems
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Overview of System Thinking
Multidisciplinary Discipline Systems Engineering
Systems Methods and Techniques
Applied Systems Thinking
Collaborative System Thinking
Systems Thinking Frameworks and Tools
Hands-On Activities
Call us today at +1-972-665-9786. Learn more about this course audience, objectives, outlines, seminars, pricing , any other information. Visit our website link below.
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https://www.tonex.com/training-courses/multidisciplinary-approaches-systems-thinking/
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The document discusses how the "numbers revolution" is affecting the web and user experience design through increased data collection and analysis. It covers how more data availability and analysis tools are enabling new types of applications for decision support, personalization, prediction and visualization. This is changing how people access and think about information by augmenting human cognition with computer analysis. The document provides many examples of current and emerging applications that utilize these approaches in areas like business, health, sports and media.
Turban dss9e ch01
This document provides an overview of decision support systems and business intelligence. It defines key concepts like decision support frameworks, the types of decisions that systems support, and the evolution of business intelligence tools. The document also explains how decision support systems and business intelligence are related through their architectures and goals of improving access to data and decision making.
The Systems Development Life Cycle Moderate and large firms with uni.pdf
The Systems Development Life Cycle Moderate and large firms with unique information needs
often develop information systems in-house. That is to say that information technology (IT)
professional within the firm design and program the systems. A greater number of smaller
companies and large firms with relatively standardized information needs opt to purchase
information systems from software vendors. Both approaches represent significant financial and
operational risks. a model for reducing this risk through careful planning, execution, control, and
documentation of key activities.
The five phases of this model are:
1) Business Needs and Strategy
Systems Strategy –Assess Strategic Information Needs –Develop a Strategic Systems Plan
–Create an Action Plan
2) Project Initiation –
Systems Analysis –Conceptualization of Alternative Designs –Systems Evaluation and Selection
3.) In-House Systems Development –Construct the System –Deliver the System
4). Commercial Packages –Trends in Commercial Packages –Choosing a Package
5) Maintenance and Support
The participants in systems development can be classified into three broad groups: systems
professionals, end users, and stakeholders. Systems professionals are systems analysts, systems
designers, and programmers. These individuals actually build the system. They gather facts
about problems with the current system, analyze these facts, and formulate a solution to solve the
problems. The product of their efforts is a new system. End users are those for whom the system
is built. Many users exist at all levels in an organization. These include managers, operations
personnel, accountants, and internal auditors. In some organizations, it is difficult to find
someone who is not a user. During systems development, systems professionals work with the
primary users to obtain an understanding of the users’ problems and a clear statement of their
needs. As defined in Chapter 1, stakeholders are individuals either within or outside the
organization who have an interest in the system but are not end users. These include accountants,
internal auditors, external auditors, and the internal steering committee that oversees systems
development.
Cost/Time Analysis:
As stated before, the cost/time analysis is an attempt to calculate to what degree the project and
system will meet the objectives. The SDLC must address two topics in its support of this area:
the scope of the analysis and the algorithm for doing it. Cost/Benefit Scope The benefit side of
the analysis should be expressed in quantitative terms wherever possible. Qualitative or
intangible benefits usually are reflections of poorly analyzed tangible benefits. The SDLC should
support the process of quantifying all benefits. On the costs side, the SDLC must address
development costs, installation costs and ongoing operational costs. In doing these calculations it
should differentiate between capital costs and expense costs. Cost/Benefit Algorithm The method
of calcu.
Decision support system : Concept and application
Here an attempt has been made to consolidate all the aspects of Decision support system .Also how DSS and expert system are different with each other.
MIS 05 Decision Support Systems
The series of presentations contains the information about "Management Information System" subject of SEIT for University of Pune.
Subject Teacher: Tushar B Kute (Sandip Institute of Technology and Research Centre, Nashik)
http://www.tusharkute.com
Shaping Tomorrow - Introduction
Shaping Tomorrow is the world’s first, multi-award winning, and only AI-driven, systems thinking model that delivers strategic foresight and anticipatory thinking in real-time.
Model Based Systems Thinking
This is an adjunct to the current wave of interest in using systems thinking as a means to address sustainability issues.
Cognitive Computing.PDF
This document discusses cognitive computing capabilities and their potential to change how people live and work. It outlines three areas of cognitive capability: engagement, discovery, and decision. Engagement capabilities allow systems to interact naturally with humans through dialogue. Discovery capabilities help systems find new patterns and insights in data. Decision capabilities allow systems to make evidence-based decisions that evolve over time. The document also notes six forces that will influence adoption rates and five dimensions that will impact future cognitive capabilities. It provides an example of how USAA uses cognitive computing to help military members transition to civilian life by answering their questions.
Cognitive future part 1
Three key points:
1. There are three emerging capability areas for cognitive computing: engagement, decision making, and discovery. Engagement systems change human-computer interaction, decision systems make evidence-based decisions, and discovery systems find new insights.
2. Case studies show how cognitive computing is being used by organizations like USAA, WellPoint, and Baylor College of Medicine to improve customer service, clinical decision making, and medical research.
3. The future evolution of cognitive computing will be influenced by six forces: technology advances, societal acceptance, information growth, perceptions, skills availability, and policies. Balancing these forces will impact adoption rates.
Cognitive future part 1
Three key points:
1. There are three emerging capability areas for cognitive computing: engagement, decision making, and discovery. Engagement systems change human-computer interaction, decision systems make evidence-based decisions, and discovery systems find new insights.
2. Case studies show how cognitive computing is being used by organizations like USAA, WellPoint, and Baylor College of Medicine to improve customer service, clinical decision making, and medical research.
3. The future evolution of cognitive computing will be influenced by six forces: technology advances, societal acceptance, information growth, perceptions, skills availability, and policies. Balancing these forces will impact adoption rates.
Recovered file 1
The document discusses various models and approaches for planned organizational change including Lewin's three stage model of change, Kotter's eight stage process for change, and the contracting, data gathering, intervention/action, evaluation, and disengagement stages of the meta model of planned change. It also covers different frameworks for diagnosing organizations including the 7S model, Weisbord six-box model, and analyzing an organization's direction, leadership, structure, culture and human resources.
Chap 14
The document discusses decision support systems (DSS), which are computer-based tools that help decision-makers in organizations solve problems and make decisions. It describes the four stages of decision making - intelligence, design, choice, and implementation. It then explains different types of DSS, including communication-based, data-based, document-based, knowledge-based, and model-based systems. Finally, it discusses benefits of using DSS and group decision support systems.
Organizational Behavior CH 09
This chapter discusses decision making and employee involvement. It outlines the general model of decision making and identifies challenges in problem identification, choosing solutions, and escalating commitment. The chapter also defines different forms and levels of employee involvement, from informal to statutory. It discusses how self-directed work teams, sociotechnical systems theory, and the Vroom-Jago model determine optimal involvement levels. Finally, it addresses overcoming resistance to greater employee involvement through trust and cultural changes.
Tackling issues earlier through smarter use of data
Objectives
To share the ambition and work of The Essex Data Programme
To bring to life with a working model – predicting school readiness in Basildon
What we are doing
The results
To highlight future opportunities and learning to date
Q&A and group discussion
PGodfrey_IS &_DSS_Term_Paper
This document discusses information systems and decision support systems. It provides characteristics and examples of each. Both systems utilize a system development life cycle to accomplish their objectives. An information system collects, processes, stores, and disseminates data to provide information to meet an objective. A decision support system is an organized collection of people, procedures, software, databases, and devices used to help make decisions by offering suggestions to solve problems. Examples of each in healthcare include electronic health records, patient health records, and clinical decision support systems used in nursing.
Bippt
This document discusses decision support systems and business intelligence. It provides learning objectives about understanding decision making in turbulent business environments and the need for computerized support. It describes early frameworks for decision support and the evolution of decision support systems into modern business intelligence approaches. Key concepts covered include structured vs. unstructured decisions, decision support system architectures, and the goals and components of business intelligence systems.
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Simulation Game Presentation Games For Health 2009
- 1. Computer Gaming as a Learning Environment for Health Care Management, Policymaking, and Emergency Preparedness Presentation at Games for Health Conference Boston, Massachusetts June 12, 2009 Gary B. Hirsch Consultant, Creator of Learning Environments 7 Highgate Road, Wayland, Massachusetts 01778 USA [email_address] www.GaryBHirsch.com 1-508-653-0161
- 7. Modular Design…Work with Subsystems or Whole System
- 8. Pre-Configured Strategies Allow for Gradual Introduction
- 9. Role Playing Helps Teach Lessons About Collaboration Roles/System Components Network-Level Strategies
- 10. Each Role Makes Its Own Decisions Subject to Resource Constraints Resource Constraints
- 11. Network Decisions Provide Opportunity for Collaborative Strategies
- 12. Carefully Selected Performance Measures Give Users Balanced View of Their Strategies Decisions Performance Measures
- 13. Users Can Set Goals for Each of the Performance Objectives
- 14. Comparisons of Selected Variables Across Simulations Let Users Identify Consequences of Strategies Performance Measures
- 15. Users Can Then “Drill Down” to Understand Why Strategies Produce the Results That Are Observed System Components Decision Support Performance Measures
- 16. Detailed Information Helps Explain Causes of Behavior and Pinpoint Problems with Strategies
- 17. Having Data in Multiple Formats Supports Different Learning Styles
- 18. Status Reports and Help Screens Improve Ease of Use
- 19. Sensitivity Analyses Let Users Change Assumptions and Appreciate Need for Robust Strategies
- 22. Causal Relationships Underlying HealthBound Game
- 23. Decisions Available to Players of HealthBound Game
- 24. Scorecard View of Results with Insurance Coverage and Quality Improvement
- 25. Detailed Results That Help Explain Unexpected Outcome
- 26. Alternate View of Results: Progress Report
- 29. Overview Screen
- 31. Vaccine Interventions Available to Players
- 37. Dashboard
- 38. Media Monitor
- 39. Resources
- 40. More Examples and Information at: www.GaryBHirsch.com