Data plays a critical role in modern healthcare. In fact, the industry is responsible for 30% of the world’s data volume through the generation of patient information, such as diagnostics, hospital admissions, home care reports, filling prescriptions, and electronic medical records. However, despite this wealth of information, 80% of healthcare executives don’t fully trust their organization’s data and believe their teams don’t have the resources to use it effectively.
Most healthcare organizations are beginning to embrace AI as a way to expedite certain tasks, such as documenting billing codes or visit notes, automating insurance prior authorization, and creating care plans and progress notes. However, AI is not always the best solution for data usage. Most generative AI requires being fed a lot of data to train the model, and public LLMs may lead to privacy violations.
The best way to use data is to gather it from fragmented internal sources and consolidate it into a single repository called a data warehouse. These data warehouses can require a huge investment of time and resources to build internally, so warehouses provided by third party vendors can be a great investment. They can be implemented in as little as 90 days and offer pre-built structure models to make integration to be as seamless as possible.
Source: MegaData