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HEALTHSCIENCE
Case Study
Data management, analysis and reporting for hemophilia disease management
 
 
Customer
The customer is one of the top medical device & pharmaceutical manufacturing companies. Their focus is on assisting people with some of the most complex conditions — like hemophilia, cancer, immune disorders and kidney disease by applying their expertise in the field in making a meaning difference in their lives.
 
Challenge
The heart of Disease Management(DM) is preventing disease and intervening early with patients who have chronic conditions such as asthma, diabetes or congestive heart failure.DM has become dependent on information technologies and data-management tools.DM programs use databases of enrollee and claim information to track patient populations, intelligent software that assesses patients' risk and stratifies patients according to risk profiles, monitor compliance and sometimes even collect physiological data directly from patients at home. Data management, analysis and report generation has high turnaround time, high labor intensive workflow, high administrative costs and lack of streamlined process leading to dependency on resource skill and lock up.
 
Solution

Leveraging Wipro’s Domain knowledge & expertise in Data cleansing, Data mining and Custom report generation using PL/SQL scripts for the report generation leading to quicker, faster and cheaper analysis of the state of the program and identifying the causes that are adversely impacting the DM program being run.

Some of the key reports that were generated from data collected by Patient Diary tool after Data cleansing and mining are
Patient Compliance reports
Drug Utilization reports
Center performance reports
Patient Drop-out rates from different centers of the program
Patient Satisfaction levels
To determine effect of dose frequency and product on systemic symptoms of patients
To determine effect of dose frequency and product on adverse events
To determine the relationship of dose frequency, systemic symptoms and wellbeing for patients
To identify if there is a connection between patient wellbeing and the level of dose and frequency of treatment of patients
To understand the distribution of actual treatments by prescribed treatment schedule
 
Benefits
Lower Turn around time for customized reports
Automation of labor intensive workflow
Knowledge Management helped better understanding of the system to the various stake holders and easy access to information
Resource availability for key focus areas by avoiding resource lock up
Increase in Productivity
 
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  CASE STUDIES
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Re-engineering an inpatient pharmacy application for healthcare IT company
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