f.jahedi md. ms.(medical it management) shiraz university of medical sciences - it dept. nov.2009 -...
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F.Jahedi MD. MS.(medical IT management)F.Jahedi MD. MS.(medical IT management)Shiraz University of Medical Sciences - IT Dept.Shiraz University of Medical Sciences - IT Dept.Nov.2009 - ShirazNov.2009 - Shiraz
Knowledge Creation Processes
•Socialization
•Externalization
•Combination
•Internalization
Knowledge Management Enablers
Culture
Structure
People
•Collaboration•Trust•Learning
•Centralization•Formalization
•T-shape skills
IT IT support
is widely employed to :is widely employed to :
1.connect people with
reusable codified knowledge
2.and it facilitates
conversations
Socialization Transformation of tacit knowledge into new tacit
knowledge Internalization Transformation of explicit knowledge into new
tacit knowledgeExternalization Transformation of tacit knowledge into new
explicit knowledgeCombination Transformation of explicit knowledge into new
explicit knowledge
web conferencing collaborative software content management systems corporate 'Yellow pages'
directories email lists Wikis Blogs
Social computing tools
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 knowledge mapsmaps
which support systematic access to parts of the organizational knowledge base
Explosive Growth Explosive Growth + Simultaneous Simultaneous FragmentationFragmentation
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 knowwhat, to what level of detailHow 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
External External SourcesSources
Web Web RepositorRepositor
yy
Email Email RepositorRepositor
yy
Text Text RepositorRepositor
yy
Domain Domain RepositorRepositor
yy
Relational/Relational/OO OO
DatabaseDatabase
KnowledKnowledge ge
RepositoRepositoryry
KnowledKnowledge ge
PortalPortal
Knowledge Knowledge Worker’s Worker’s
ViewView
Knowledge Knowledge Worker’s Worker’s
ViewView
Taxonomies and OntologyData Mining Tools and TechniquesBusiness Intelligence and AnalyticsCommunities of PracticeStorytelling / The Power of NarrativeSocial 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 MiningSemantic Interpretation
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Laboratory
Pharmacy
Radiology
Physician
PictureArchiving& Comm.System(PACS)
HEALTH INFORMATION MANAGEMENT
SYSTEM
Electronic Health Records
Finance InventoryAdministration
Data
Information
Data
Data
Patient Management
Patient Registration
Orders Management
(CPOE)
Resource Scheduling
Health Promotion
Outcome Measurement
HEALTH INFORMATION MANAGEMENT
SYSTEM
Clinical Decision Support
Best Evidence
(Info-Buttons)
Clinical Pathways
Optimization
Patient Empowerment
Patient Care Planning
Knowledge Generation & Translation
HEALTH KNOWLEDGE
MANAGEMENT SYSTEM
Policies
Standards
Processes
Knowledge Creation
Knowledge Access
Knowledge Sharing
Patient Management
Public Health
Knowledge Translation
Healthcare Knowledge Procurement
Healthcare Knowledge Modeling & Representation
Computerizing Healthcare Knowledge (CPG, Clinical Pathways, Care Plans)
Healthcare Text Analysis (Mining)
Bio-medical Terminologies
Healthcare Knowledge Indexing & Storage
Semantic Interoperability
Info-Buttons Best Evidence Retrieval
Knowledge Annotation & Indexing
Knowledge Sharing (Community of Practice)
Social Networking Analysis
Care Team Collaboration
Clinical Decision Support
Patient Care Planning
Patient Safety Alerts & Reminders
Personalized Patient Education & Empowerment
Patient Monitoring
Risk Assessment
Public Health Surveillance Public Health Interventions
Technology-Enabled Knowledge Translation
Automated Outcome Analysis
Policy Development
Hea
lth
care
Kn
ow
led
ge-
Cen
tric
Ser
vice
s
HKM Service Types
Transformational Services
Enabling Services
Patient Care
Services