Standardization of medical terminology is crucial in data transfer in the area of healthcare organizations and in boosting the profits of information technology in medicine and pharmacology. This approach can enhance knowledge about diseases and appropriate treatments, reinforce comprehension and implementation of the efficiency of our health care systems, create quality metrics and aid businesses in meeting the needs of their customers.
The task was to process unstructured data in the form of medical notes for constructing data tables.
We converted unstructured medical notes, making them structured, and integrate them into standardized clinical data tables. So, this had enabled our customers to use previously ambiguous data in studies, allowing to find previously hidden factors, which may have the critical impact.
Our team uses conventional method of unstandardized data processing. It includes:
Big Data Science
ETL
MapReduce
Hadoop
Relational Data Bases
SQL Server
Redshift
Cloud Computing
DevOps
AWS EC2
AWS S3
Hi, we are Sciforce - a company where the integration of various branches of science builds up a powerful force to create robust software solutions. Working at the intersection of Computer Science with other technical, natural and humanitarian sciences let us go beyond traditional IT services and become both technical and scientific forces to our customers.