MediSapiens Partners with RemoteA to Develop AI for Structuring Information from Unstructured Medical Notes
Helsinki, Finland: MediSapiens, a leading developer and provider of genomic, biomedical and health data solutions, has partnered with RemoteA, a pioneer in ECG analytics. The partnership aims at utilizing deep learning algorithms developed by MediSapiens to aid RemoteA in structuring relevant medical information from unstructured medical notes.
RemoteA develops a remote cardiac analytics platform that helps in diagnosing cardiac events based on smart ECG analytics and specialist consultation. As a part of this process, RemoteA has access to a large amount of medical notes which contain valuable information in an unstructured, and thus difficult-to-use format.
MediSapiens has developed novel specialized deep learning algorithms to analyze unstructured medical text and bring relevant pieces of information into a structured, harmonized and curated format. This information is then computationally accessible for future research and development of downstream AI and other analytical algorithms. These technologies are used to enable RemoteA to better tap into their data resources.
“It has been estimated that 80 % of all health data is in an unstructured format, and thus not readily accessible for research and further AI development”, stated Henrik Edgren, Chief Scientific Officer of MediSapiens. “We’ve invested substantially in developing specialized methods for solving this key data bottleneck in the health data setting. We’re very enthusiastic to work with RemoteA on bringing these technologies into use for improving health research and outcomes.”
Heikki Väänänen, CSO of RemoteA agrees with the benefits: "While focusing on analysing the structured biomedical data, we feel that we miss a lot of information that could support our diagnostic tools. We don’t have power to do everything alone, and cooperating with the specialists like MediSapiens makes it possible to keep us in the leading edge in the service development."
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