Knowledge managementneedsinprescriptionmedicationprocess

Preview:

DESCRIPTION

This project overviews the requirement of prescription medication process, analyzes its processes and dependencies, and designs a intelligent decision support system to overcome some of its issues.

Citation preview

Knowledge Management Needs in Prescription-Medication ProcessAllahyari Nooshin, Das Aby.March 30, 2011 1

Agenda

•The Current Process•Knowledge Identification•Portfolio of Systems•Selected Portfolio•Modeling and Analysis of KM Information Technologies •Role of Ontologies

2

Motivation

3

Motivation (cont.)

4

Problematic Prescription

The Current Process–Flow Diagram

5

The Current Process – Logical DFD at Level Zero

6

The Current Process – Logical DFD at Level One

7

The Current Process – Logical DFD at Level One (cont.)

8

The Current Process – Strategic Dependency Model

9

i* Model10

Possible scenarios to decrease preparation errorsPossible Scenario Advantage Disadvantage

Automated System Decreases human errors.

Cost

E-Bulletin for guidelines Aids pharmacist’s decision

Outdated, Time consuming.

Forums Pharmacist’s can contribute experiences with other pharmacists.

Time consuming, Lack of incentives.

Human-Factor Engineering

Improves efficiency Not periodically updated.

11

But preparation depends on the pharmacist …

12

Knowledge Identification

13

Roles, Responsibilities, and Dependencies

14

Current Knowledge Stores• Pharmacy Local Database• Stores customer customer information, prescription information,

and inventory of drugs. • Physical Prescription • Drug information, dosage.

• Indexing System• Locates drug information, patient history in pharmacy

• Physician’s Database• Physician’s access to patient’s records

15

Knowledge Management Portfolio• Decision Support System (DSS)• Provide expert knowledge to aid pharmacist’s decision.

• Electronic Publishing System • Access to patient information using electronic means.

• Web Portal• Provides access to tools like wikis, form, email, search, and

retrieval tools.• Intranet• Facilitates access to patient past prescription and records across

different pharmacies.

16

Selected Portfolio

• Decision Support System (DSS)

• Electronic-Prescription (EP or E-Prescription)(combines with Electronic Publishing System)

17

Modeling and Analysis of Selected KM Technologies

18

DSS

19

E-Prescription

20

Change in dependencies

21

SD Model before EP

SD Model after EP

22

Interaction of actors and stakeholders with DSS

23

Goal Evaluation for DSS technology

24

Interaction of actors and stakeholders with E-Prescription

25

Goal Evaluation for EP technology

26

Impact of Employed Technology on each other

27

Temporal and Spatial Context

28

Role of ontologies

29

Why Ontologies?

• Unified Healthcare System• Ontologies can explicit conceptualize the semantics of the data • Ontologies can make deductions and reasoning.

30

What do ontologies do?• Ontology application are classified into:• Semantic integration• Search• Decision Support System(DSS).

31

32

Which languages?• RDF• RDF schema• OWL• Rules• KIF• Common Logic• FOL

Powerful logical languages

Conceptual Graph

33

Relationship between diseases, drug, and instructionsFor all (x)

(If disease(x) (exists (y) exists (z) and ( and medicine(y) has_medicine(x,y))

(and instruction(z) has_instruction(x,y,z)))).

34

35

Physician, Pharmacist, and EP RelationshipFor all(x) (iff prescription(x) (exists(y) exists(z) and (and Physician(y) prescribed_by(x,y)) (and pharmacist(z) used-by(x,z)))).

36

Drug prescription error

For all(x) (if Disease(x)

( not exists (y) (and medicine(y) has_medicine(x,y)) (exists(z) exists (w) ( and message(z) physician(w) has_ message(x,w,z)).

37

Benefits of Using our Ontology• It does not have other languages or ontologies constraints • all other semantic web languages are constriction of FOL.

• It is powerful in making deduction and reasoning• It could make inference between different ontologies.

Horrocks et al. (2005), Semantic Web Architecture: Stack or Two Towers?

38

Ontology Structure• Our ontology is using different existing ontologies and using

ontology mapping techniques to connect them to each other. • WSMO (Web Services Modeling Ontology)• DOPE (Drug ontology)• Disease ontology

39

WSMO (Semantic Web)

Romana et al. (2005) , Web Service Modeling Ontology

Questions?

40

Thank You!

41

Recommended