Conceptual Modeling of the Healthcare Ecosystem Eng. Andrei Vasilateanu

Conceptual Modeling of the
Healthcare Ecosystem
Eng. Andrei Vasilateanu
Overview
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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 crossorganizational
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:
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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 !