A well-recognized issue within the pharmaceutical industry
How we can help you to optimize your data quality
Do you recognize these issues with regard to your data:
- Data from an HCP is spread over different systems
- No one system with up-to-date and accurate HCP records
- Record of an HCP differs from system to system
- New data not matched with an existing record
Our data quality improvement process consists of 4 steps:
1. Data quality assessment
Your data from different sources should be provided to us according to a defined set up. Based on a quick scan we will determine the quality of your data and present conclusions and next steps.
2. Action plan
In this phase we will define the business rules based on your requirements and the quality of the data. We will present timelines and the proposed budget involved.
3. Data cleaning
Now we will upload your data and our algorithm will compare records from different databases and applications. The results are deduplication of records, merging of records and/or relevant data and the creation of so-called golden records.
4. MedUnite
Algorithm which can be integrated into your IT infrastructure in which HCP data sources are connected and records are automatically matched and merged.
Initial results achieved in
a few weeks:
- Deduplication: significant (35%) reduction of HCP records
- Consent status: 15% of those records with correct opt-in/opt-out status
- Golden records: 10% turned into complete HCP records
- HCP data consistency in different systems: no more manual merging of data
Improved HCP
data quality
in a short period of time
