Ready Clinical Intelligence – Deriving Clinical Knowledge From Medical Data Using IT Dr. Suman Bhusan Bhattacharyya MBBS, ADHA, MBA

Data – Knowledge – Intelligence Patient has a blood pressure of 120/80 torr [data] Normal population has been found to have a blood pressure of 120/80 torr [knowledge or information] This patient is normotensive [intelligence]

Most Important Areas of Use Clinical trials –Pharmaceutical –Clinical Evidence based medicine Development of clinical protocols Maintenance of clinical protocols

Clinical Intelligence Requires anonymized patient data Epidemiology studies Uncertainty and probability Evidence based medicine Outcomes analysis Clinical data warehousing Clinical data mining

Methodology Project formulation Observation Data collection Data tabulation Data analysis Results publication Results review Validate entire process

Formal Paper-based Process Formulate Project Tabulat e Data Medical Records Enter Data Publish Results Statistical Analysis

Current Paper-based Intelligence Sources Research Journals Other publications Evidence based medicine

Associated Problems Formalized process Resource hungry –Cost –Time –Personnel Inefficiencies in data analysis Cumbersome information publication

How IT Helps True and accurate capture of data Efficient warehousing of data that may easily be manipulated Opportunity of mining data in a variety of ways Easy backward referral to data that led to the intelligence

Fallacies of IT Inaccurate/improper data capture –Remedy – proper requirements Improper formulation of question –Remedy – clear project objectives Inaccurate data warehousing –Remedy – correct implementation of objectives Incorrect data mining –Remedy – correct project requirements

The IT Process Formulate Project Clinical Data Capture Clinical Documentation Medical Record ETVL Data Warehouse Data Storage Data Mining Results

Comparative Analysis ItemPaperIT Project formulationFormalAd hoc/Formal ObservationManual Data collectionManualManual/Automated Data tabulationManualAutomated Data analysisManualAutomated (Interventional) Results publicationManualAutomated/Manual Results reviewManualAutomated (Interventional) Process validationManualAutomated (Interventional)

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