PREPARED BY: SUNIL PAUDEL NHU NGUYEN MUATH ABDULRAHMAN IMPLEMENTATION OF CLINICAL DATA WAREHOUSE SYSTEM.

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Presentation transcript:

PREPARED BY: SUNIL PAUDEL NHU NGUYEN MUATH ABDULRAHMAN IMPLEMENTATION OF CLINICAL DATA WAREHOUSE SYSTEM

COMPANY DESCRIPTION – KELSEY- SEYBOLD CLINIC  A large multi-specialty clinic system based on Greater Houston  Kelsey employee more than 370 physician in 50- plus medical specialties  Serves more than 400,000 patients every year  Affiliated with Baylor College of Medicine and UT Houston

CURRENT CONCERN:  Early diagnosis of illness/diseases  Reduce check-up time and consequently reduce administrative cost  Accelerate the process of patient service to increase revenue  Better customer service

WHAT IS THE PLAN?  Implementation of Clinical Data Warehouse System for Clinical decision support.  A Clinical database that consolidate data from a variety of clinical sources to present a unified view of a single patient

Data warehouse with a single well-defined data model into which clinical data are loaded Sources are clinical data management systems, laboratories, Electronic Data Capture System, Interactive Voice Record System etc. WHAT IS CLINICAL DATA WAREHOUSE?

SCOPE: Implementation of Clinical Data Warehouse System for Clinical decision support for Allergies

STRATEGIC GOALS  Early Diagnosis o Report and analyze patient data faster and more efficiently. o Reducing time of check-up o Service to more customers, more revenue and less administrative cost  Predication o Predict Patients behavior and future services o Get clinic ready for future prediction of illness.  Increase Revenue o Faster service, better prediction and better customer service mean more patients o Less cost of treatment due to increase in efficiency of data analysis and reporting

Patient o Patients Name o Patients Age o Patients Illness o Patients Symptoms  Case o Illness o Illness cause o Illness Symptoms o Illness Prevention o Illness Cure o Medications  Time o Day o Month o Quarter o Year  Cost o Doctor cost o Checkup cost o Lab test cost o Administration cost  Region o Name DIMENSIONS:

DIMENSIONS LOCATION =”CLEAR LAKE Case (allergy type) TIME ( SEASON) SeasonalPetFoodDrug allergiesInsect Stings SPRING SUMMER AUTUMN WINTER Fact: o Number of patient o Number of cases ( one patient can have more than 1 history record) o Average/total duration o Average total cost

DIMENSIONS Fact: o Average or total cost LOCATION =”CLEAR LAKE” CASE =”PET” Cost ( type) TIME ( SEASON) Total costCheckup costLabtest cost Admin cost SPRING$$$ $ SUMMER$$$ $ AUTUMN$$$ $ WINTER$$$$

DIMENSIONS Fact: o Average or total cost LOCATION =”CLEAR LAKE” CASE =”PET” CUSTOMER = “ADAM SMITH” Cost ( type) TIME ( SEASON) Total costCheckup costLabtest cost Admin cost SPRING$$$ $ SUMMER$$$ $ AUTUMN$$$ $ WINTER$$$$

BUSINESS FACTS:  Number of Patients  Number of Cases  Diagnosis Duration  Cost of Diagnosis

REPORTS  Patients History Report  Cost of diagnosis report  Disease Prediction Report  Doctor recommendation report

POTENTIAL USES: Ongoing medical review Cross-study analysis Single data storage for visualization/ analysis tools Safety monitoring and signal detection Responding to regulatory queries

ANY QUESTION OR COMMENTS!!