DataMining Presentation

7/31/2019 DataMining Presentation

1/15

D A T A P R O C E S S I N G A N D D A T A W A R E H O U S E U S I N GD A T A M I N I N G C O N C E P T

PRESENTATION TOPIC


2/15

OUR TEAM

1. Kazi Istiaque Ahmed

ID: 08091103002

Intake: 10th

2. Kazi Istiaque Ahmed

ID: 08091103002

Intake: 10th

Department of Computer Science and Engineering


3/15

PAPER DETAILS

TITLEThe relevance of data warehousing and data miningin the field of evidence-based medicine to support

healthcare decision making

BY

Nevena Stolba and A Min Tjoa


4/15

CONTENTS

Summary

Introduction

Application Fields

Case study 1: Generation of evidence-Based guidelines

Case study 2: Controlling of clinical treatment pathways

Case study 3: Use of evidence-based rules at the point of care

Data Warehouse Facilitating Evidence Based Medicine

Related Works

Conclusion

Query


5/15

SUMMARY

Evidence-based medicine is a new direction inmodern healthcare. Its task is to prevent, diagnoseand medicate diseases using medical evidence.

External evidence-based knowledge can not beapplied directly to the patient without adjusting it tothe patients health condition.

Through integration of data warehousing, OLAP

and data mining techniques in the healthcarearea, an easy to use decision support platform,which supports decision making process of caregivers and clinical managers, is built.


6/15


7/15

APPLICATION FIELDS

Relevant data sources for the clinical decision support

systems for evidence-based medicine purposes are:

-Evidence-based guidelines (in form of rules)-Clinical data (patient data, pharmaceutical data,

medical treatments, length of stay)

-Administrative data (staff skills, overtime, nursing care

hours, staff sick leave)

-Financial data (treatment costs, drug costs, staff salaries,

accounting, cost-effectiveness studies)

-Organisational data (room occupation, facilities,

equipment)


8/15

APPLICATION FIELDS (CONT)

The most relevant application fields for datawarehousing in the area of evidence-basedmedicine are utilized to support:

1. The generation process of the evidence-basedguidelines

2. The clinicians at the point of care delivery, bymaking evidence-based rules available

3. The controlling of clinical treatment pathways4. The administrative and management tasks, byproviding evidence-based knowledge as well asdiverse organisational and financial data.


9/15

CASE STUDY 1: GENERATION OF EVIDENCE-

BASED GUIDELINES


10/15

CASE STUDY 2: CONTROLLING OF

CLINICAL TREATMENT PATHWAYS


11/15

CASE STUDY 3: USE OF EVIDENCE-

BASED RULES AT THE POINT OF CARE


12/15

DATA WAREHOUSE FACILITATINGEVIDENCE BASED MEDICINE


13/15

RELATED WORKS


14/15

CONCLUSION


15/15

QUERY??

Documents

DataMining Presentation