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F.Jahedi MD. MS.(medical IT management)
Shiraz University of Medical Sciences - IT Dept.
Nov.2009 - Shiraz
Knowledge Management Enablers
Knowledge Creation Processes
Structure
•Centralization
•Formalization
People
•T-shape skills
•Externalization
•Combination
Social Perspective
•Socialization
Culture
•Collaboration
•Trust
•Learning
•Internalization
Technical
Perspective
IT
IT support
Induction
Interpretation
Wisdom
Knowledge
Information
Data
Events
RDBMS
RDBMS
RDBMS
RDBMS
is widely employed to :
1. connect people with reusable
codified knowledge
2. and it facilitates conversations
Explicit
Tacit

Socialization
Transformation of tacit knowledge into new tacit knowledge

Internalization
Transformation of explicit knowledge into new tacit
knowledge

Externalization
Transformation of tacit knowledge into new explicit
knowledge

Combination
Transformation of explicit knowledge into new explicit
knowledge
Functionality
searching
categorizing
composing
Technology
search engines
computer languages (XML, RDF)
office suite applications
summarizing
storing
distributing
artificial intelligence
storage media
networks
workflow
groupware
Social computing tools

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web conferencing
collaborative software
content management systems
corporate 'Yellow pages' directories
email lists
Wikis
Blogs

Documentalist

Technologist

Learner & Communicator
Feedback


Point the way for knowledge management
activities
Determine which capabilities should be built
on which level
 Normative Knowledge Goals
 Strategic Knowledge Goals
 Operational Knowledge Goals


Companies should know what knowledge
and expertise exist both inside and outside
their own walls.
Losing track of int. and ext. data,
information, and capabilities leads to:
 Inefficiency
 Uninformed decisions
 Redundant activities.
One way to increase internal
knowledge transparency is :
creating knowledge maps
which support systematic access to
parts of the organizational
knowledge base
Explosive Growth + Simultaneous Fragmentation
of knowledge
Impossible to build up
all the know-how needs for market success
by themselves
 They have to buy critical capabilities
 From knowledge markets
 (using focused acquisition strategies)

Knowledge Held by Other Firms
 Ericsson/Hewlett-Packard joint venture

Stakeholder Knowledge
 Involving customers early in the product-
development process

Experts
 Recruit specialists

Knowledge Products
 New ideas and new knowledge can take effect only if
they are at least somewhat compatible with the old.



All the management activities
To produce new internal or external
knowledge
On both the individual and the collective level

Individual knowledge development :
 Creativity
 Systematic problem solving

Collective knowledge development:
 Ensure that team members have complementary skills
 Each group as a whole has defined realistic goals
▪ Internal think tanks
▪ Learning arenas
▪ Internal centers of competence
▪ Product clinics
Making knowledge available and usable
across the whole organization

Who should know
what, to what level of detail
How can the organization support these
processes of knowledge distribution?


Not everyone needs to
know everything.


Technical knowledge distribution
infrastructures can support efficient
knowledge exchange within organizations

Productive deployment of organizational
knowledge in the production process—in fact
is the purpose of knowledge management.

To avoid the loss of valuable expertise
companies must shape:
 Selecting valuable knowledge for preservation
 Ensuring its suitable storage
 Regularly incorporating it into the knowledge
base


The biggest challenge in the field of
knowledge management
Knowledge and capabilities can rarely be
tracked to a single influencing variable


Cost of measuring knowledge is often seen as
too high or socially unacceptable
Methods of measurement must reflect the
organization’s normative, strategic, and
operational dimensions
Knowledge
Worker’s View
Knowledge
Portal
Knowledge
Worker’s View
Knowledge
Repository
External
Sources
Web
Repository
Email
Repository
Text
Repository
Relational/OO
Database
Domain
Repository

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
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
Taxonomies and Ontology
Data Mining Tools and Techniques
Business Intelligence and Analytics
Communities of Practice
Storytelling / The Power of Narrative
Social Networks (& Social Networking Sites)

KM and Data Mining
 Data mining is the non-trivial process of
identifying valid, novel, potentially useful and
ultimately understandable patterns from data
 Clinicians accomplish these tasks daily in their
care of patients


KM and Text Mining
Semantic Interpretation




Volume of information
Information security
Quality
Ability to access and use information
Policies
Standards
Processes
Electronic Health Records
Clinical
Patient
Management
Decision
Support
Laboratory
Pharmacy
Data
Patient
Health
Care
Promotion
Planning
Radiology
Finance
48
Optimization
(CPOE)
HEALTH
INFORMATION
KNOWLEDGE
MANAGEMENT
SYSTEM
Best
Patient
Evidence
Data
Registration
(Info-Buttons)
Physician
Clinical
Orders
Information
Management
Pathways
Picture
Data
Knowledge
Archiving
Outcome & & Comm.
Generation
Measurement
Translation
System
(PACS)
Resource
Patient
Scheduling
Empowerment
Administration
Inventory
Transformational Knowledge
Translation
Services
Public
Health
Patient Care
Services
Patient
Management
Knowledge
Sharing
Knowledge
Access
Enabling
Services
Technology-Enabled
Knowledge Translation
Personalized Patient
Education & Empowerment
Clinical Decision
Support
Info-Buttons
Patient
Monitoring
Patient Care
Planning
Knowledge Sharing
(Community of Practice)
Patient Safety Alerts &
Reminders
Care Team
Collaboration
Knowledge Annotation &
Indexing
Healthcare Knowledge
Indexing & Storage
Computerizing Healthcare Knowledge
(CPG, Clinical Pathways, Care Plans)
Healthcare Knowledge
Procurement
Risk
Assessment
Social Networking
Analysis
Best Evidence
Retrieval
Policy
Development
Public Health
Interventions
Public Health Surveillance
Bio-medical
Terminologies
Knowledge
Creation
Automated
Outcome Analysis
Semantic
Interoperability
Healthcare Text
Analysis (Mining)
Healthcare Knowledge Modeling
& Representation
Healthcare Knowledge-Centric Services
HKM Service
Types


KM needs four main enablers to become
implentable
Healthcare Information Management needs
KM.