A leading healthcare organization was required to manage 1000+ datasets containing drug names in various formats. One significant challenge in dealing with drug names in multiple formats is that it often leads to data management errors and inefficiencies.
The organization required a powerful yet cost-effective solution to identify and correct misspelled words, expand abbreviations, standardize drug names, and map the standardized drug names to an industry-standard drug database for accurate and reliable data management.
We had to deal with several data attributes and apply various validation rules. We also had to map the data to an industry-standard database, check and update the data, and enhance the data's confidence score.
We used our automated data quality solutions and three significant stages to quickly accomplish accurate drug identification and improve data quality.
1. Data Cleaning:
Identified and corrected spelling mistakes in drug names by applying Natural Language Processing, thereby reducing the risk of misinterpretation and errors.
Developed a custom algorithm to expand abbreviations commonly found in drug names to enhance data clarity and reduce ambiguity.
2. Data Normalization:
Standardized and formatted drug names through an integrated standardization process, helping the organization enhance patient safety.
Ensured consistency in the representation of pharmaceutical data by reducing errors caused by variations in naming conventions, abbreviations, or misspellings.
3. Data Mapping:
Leveraged automated data mapping techniques to map and standardize drug names to an industry-standard drug database.
Employed a human-in-the-loop approach and automated data validation rules to ensure high data accuracy.
We helped them to achieve over 99% accuracy in mapping drug names to the industry-standard drug database. We ensured that the client's data aligned with industry norms, reducing the risk of medication errors. The standardized and accurately mapped data improved the overall data quality, positively influencing the client's data-driven decision-making and reporting processes.
99%
dataaccuracy
1000+
data points
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© 2024 Xtract.io Technology Solutions Pvt Ltd | All Rights Reserved | A Mobius Venture.
© 2024 Xtract.io Technology Solutions Pvt Ltd | All Rights Reserved | A Mobius Venture.