Conceptual modeling of the healthcare ecosystem

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					Conceptual Modeling of the
  Healthcare Ecosystem

    Eng. Andrei Vasilateanu
                  Overview
•   Challenges faced by healthcare systems
•   New paradigms in healthcare
•   Conceptual modeling and system engineering
•   Digital Healthcare Ecosystem (DHE)
•   Conceptual model of the DHE
       Challenges in healthcare
• Increasing expenses, low quality of medical
  services
                  Causes

Structural changes in the population:
– By 2050
   • number of older people in less developed
     countries is projected to more than quadruple
     (from 374 million in 2000 to 1570 million)
   • proportion of very old people (over 80 years
     old) will constitute 10% of the population in
     Europe as opposed to only 3% today.
results in increasing pressures on the
healthcare system
• Changes in disease prevalence: chronic vs acute
  – Healthcare systems designed to treat acute diseases
  – Today most deaths caused by chronic diseases
    New paradigms in healthcare

• Changing the role of the patient -> first-class
  actor in his healthcare process
• Patient empowerment : educated patient, able
  to make informed decisions
• Continuity of care: informational, management,
  relational continuity
• Team care: multidisciplinary and cross-
  organizational
                   E-health
an emerging field in the intersection of medical
informatics, public health and business, referring to
health services and information delivered or enhanced
through the Internet and related technologies.

In a broader sense, the term characterizes not only a
technical development, but also a state of the mind, a
way of thinking, an attitude, and a commitment for
networked, global thinking to improve Health-care
locally, regionally, and worldwide by using information
and communication technology.
• Large spectrum of computer-based applications

      Basic                        Intermediate                     Advanced




                                                                 Chronic Disease

                                                         Public Health Surveillance

                                                      Electronic Health Records
                                                  Telemedicine

                 Clinical Information Systems

    Hospital Information Systems
   Models in System Engineering
• Model = semantically closed abstraction of a
  subject system
• Model purposes:
  – Visualize and communicate to others a system
  – Specify the structure and behavior of a system
  – Give a template for constructing a system
  – Document the design decisions
      Model Driven Architecture
• Software development process
• Architecture = specification of the components
  and connectors of the system and the constraints
  and rules for the interactions between the
  components
• Defines what models to be used and their
  relationship, creates 3 viewpoints:
  – Computation independent viewpoint
  – Platform independent viewpoint
  – Platform specific viewpoint
                     Digital Ecosystems
• Natural life ecosystem = a biological community of interacting organisms plus
  their physical environment
    – Digital species
    – Digital environment
• New business models in the three sectors of the Digital Ecosystem
  (telecommunications, media and IT industries):
  “Ecosystem players could spend more effort in identifying the next areas of
  welfare creation that can be targeted in all sectors of the economy, thus
  generating additional value for the industry to share in. Sectors such as
  healthcare, logistics, transportation, financial services, education, and retail
  are all likely to present significant opportunities to leading companies within
  the digital ecosystem in the coming years. Indeed, shifting focus away from
  competing within their existing boundaries to solving pressing social and
  business problems in these sectors may afford participants in the TC, ME and
  IT industries opportunities to collaborate and grow their collective and
  individual profit pools.” (Michele Luzi and Jennifer Binder-Le Pape: EMERGING
  “DIGITAL ECOSYSTEM BUSINESS MODELS AT THE CONFLUENCE OF THE IT,
  TELECOM, AND MEDIA AND ENTERTAINMENT INDUSTRIES”, GOVERNORS
  MEETING FOR THE DIGITAL ECOSYSTEM)
• The Digital Ecosystem is the space formed by the convergence of the media,
  telecoms and IT industries. It consists of users, companies, governments and
  civil society, as well as the infrastructure that enables digital interactions.
            Ecosystem Characteristics
• One of the most important features of biosystems is how they are
  able to maintain local order (low entropy) within their system
  boundaries.
• Ecosystems grow and develop in four progressive growth forms
  reflected in: boundary, structure, network, and information
  relationships.
• Digital species:
   –   autonomous, proactive and adaptive entities
   –   Organized in digital communities
   –   Peer to peer interactions through information flows
   –   Existing digital components can be equipped with
       digital organs to function in the DE
• Digital ecosystems are “the dynamic and
  synergetic complex of Digital Communities
  consisting of interconnected, interrelated and
  interdependent Digital Species situated in a
  Digital Environment, that interact as a
  functional unit and are linked together
  through actions, information and transaction
  flows.”
Virtualization of the Business
          Ecosystem
Digital Healthcare Ecosystem
Reflection of the healthcare ecosystem
      Modeling the health state
• Health state = mental representation or
  abstract object
• Reflection in our digital system of the real
  state of the patient
• Tends to minimize the gap between reality
  and representation by accumulation of
  observations
          Layers of abstraction
• Health issue, health condition, health state
Thank you !

				
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posted:12/6/2012
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