Microsoft and Google have unveiled new features for their healthcare cloud products. They aim to integrate data from various sources such as EHR, lab, revenue cycle, and others, enabling organizations to develop insights from different data sets or establish standardized processes.
Health systems maintain hundreds of applications in their portfolio, which places a significant burden on staff, especially clinical teams trying to extract insights from clinical data across structured and unstructured data repositories.
Google Cloud introduced new capabilities in Vertex AI Search for healthcare and life sciences organizations. It allows them to use medically-tuned generative AI to search a wide range of data, including clinical sources like FHIR data and clinical notes.
Microsoft has presented industry-specific healthcare solutions in Fabric, allowing organizations to merge data from standalone applications. The healthcare data solutions in Fabric, currently in preview mode, streamline the process by eliminating the expensive and time-consuming task of integrating disconnected health data sources such as text, images, and video.
The first step for a healthcare CIO and the organization involves moving all their on-premise applications or application data from other cloud providers to one specific cloud provider. By doing this, the platform (Vertex AI or Fabric) can extract insights from all the diverse data sources.
