Data Type (Image, Audio, Text, Video, Other data types)
The image segment in the healthcare data collection and labeling market remains significant with expected share of 30.5% by 2037. The reliance on medical imaging technologies for diagnostics and treatment planning is increasingly growing. Therefore, high-precision labeling is a great necessity. Moreover, some of these modalities may use AI and machine learning on an everyday basis, which further enhances diagnostic accuracy and operational efficiency. For instance, in August 2024, Siemens Healthineers installed an AI-powered multi-testing diagnostic analyzer at Mahajan Imaging & Labs. It is aimed at enhancing patient comfort and delivering accurate and prompt results.
End use (Hospitals and clinics, Diagnostic laboratories, Research organizations, Pharmaceutical companies)
Based on end use, hospitals and clinics segment in the healthcare data collection and labeling market is poised to record remarkable growth during the forecast timeline. As healthcare providers begin to adopt data-driven decision-making, hospitals and clinics are in a better development process of managing data to improve care and operation. For instance, in September 2023, Oracle Cerner announced the incorporation of generative AI into its EHR platforms, designed to respond to the voice commands in the clinical settings and mitigate the manual burden. Thus, incorporating digital solutions into clinical settings to refrain from unintrusive documentation and better patient information labeling, enables proper treatment planning and care continuity.
Our in-depth analysis of the healthcare data collection and labeling market includes the following segments:
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Author Credits: Radhika Pawar
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