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edi MD. MS.(medical IT management) edi MD. MS.(medical IT management) z University of Medical Sciences - IT Dept. z University of Medical Sciences - IT Dept. 009 - Shiraz 009 - Shiraz

F.Jahedi MD. MS.(medical IT management) Shiraz University of Medical Sciences - IT Dept. Nov.2009 - Shiraz

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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

InterpretationInterpretation

InductionInduction

RDBMS

RDBMS

RDBMS

RDBMS

is widely employed to :is widely employed to :

1.connect people with

reusable codified knowledge

2.and it facilitates

conversations

Codify

i

ng

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

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 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

Volume of information Information securityQualityAbility to access and use information

48

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

KM needs four main enablers to become implentable

Healthcare Information Management needs KM.