At Logicon, we utilize advanced algorithms for data standardization and mobilization, transforming diverse datasets into standardized formats. This approach facilitates easier data analysis and movement across multiple healthcare systems.
Reduction in Data Transfer Time
Reduction in Errors
Projects completed
Saved in maintenance
According to the World Economic Forum, 97% of hospital data goes unused because of outdated systems. We revamp outdated healthcare legacy systems, aligning systems with current standards and technological advancements.
80% of a data scientist’s time is spent cleaning and organizing data. Through rigorous data cleaning and integration, we unify patient data into a single, accurate view. This enhances clinical decision-making and care coordination.
64% of health data users i.e. Clinical Labs lack the knowledge necessary to standardize data quickly resulting in inefficiencies, errors, and delays. Our interoperability services connect disparate systems, boosting data accuracy and business performance.
Implementation of standards such as HL7 (Health Level 7) and FHIR (Fast Healthcare Interoperability Resources) for the electronic exchange of health information.
Converting data from different formats and sources into a standardized format using mapping tools by converting units of measurement, normalizing terminology, and ensuring consistent formats.
Identifying and correcting errors, duplicates, and inconsistencies in the data to ensure the accuracy and reliability of the standardized data.
Establishing policies and procedures such as HIPAA for data management, including data standardization protocols, to ensure data quality and compliance with regulations.
Facilitate the sharing of health information across different healthcare organizations by establishing agreements and protocols for the secure exchange of health information among participating entities.
Use real-time dashboards and analytics tools to provide healthcare providers with actionable insights from mobilized data and leverage predictive analytics to anticipate patient needs.
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