Meet Data Harmonise Ltd. Simplify the process of harmonising health data by providing automated solutions using standardised common data models, enabling a deeper understanding of healthcare for everyone.The TeamSolmaz Eradat Oskoui About UsAfter earning my PhD in Applied Mathematics in 2014, I have held various roles in data analysis and data engineering across the IT, Banking, and Healthcare sectors. Recognising the potential of data standardisation to enhance interoperability and drive insights for improving healthcare, I founded Data Harmonise Ltd in early 2024. In my spare time, I love exploring the outdoors through running and long distance walking. Cooking is another passion of mine and I volunteer for a charity in Edinburgh by offering cooking classes with a Scottish - Iranian twist. ProblemHealthcare data often differs significantly in structure and terminology across organisations, hindering the efficient discovery, access, linkage, and quality of data at local, national, and international levels. Standardising health data using the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) offers a potential solution for achieving interoperability. SolutionAutomating health data standardisation to enable organisations and researchers to create better quality datasets faster and accelerate the generation of reliable healthcare evidence for better patient outcomes. MarketCurrently, 97% of healthcare data remains underutilised due to fragmented approaches in structuring and standardising terminology, hindering its full potential. With the global healthcare market projected to grow at a compound annual rate of 26% between 2022 and 2027, there is a significant opportunity to standardise data. This will create strong data infrastructures, critical for technological advancements like AI, to generate reliable insights from health data for everyone. ContactSolmaz Eradat Oskoui LinkedIn This article was published on 2024-11-04
