In the modern era of healthcare, going to a hospital, primary physician, or any other healthcare organization means giving your doctor as much information as possible. Patients fill out pre-check up forms, they describe as much as they can with the doctor and are usually told to report back with any updates after the appointment itself. Fortunately, as a healthcare organization, you can take advantage of this data to do much more than just improve patient outcomes.
Already, major healthcare organizations have begun experimenting with the applications of AI alongside their own patient database. While this shows promises, this method has one major drawback. With generative AI and public LLMs, you must feed it all of your data before you can see its efficacy. Not only is this a major resource investment, but this runs into data privacy concerns for the patients.
Moreover, this method does not serve another major for all knowledge workers within a healthcare organization. Around 11.6 hours, which is around 29% of the workweek, is wasted searching for the right data to do the job. A substantial part of this issue is the ‘login fatigue’. On average, 367 software tools are used by large organizations, and login fatigue is caused by logging into all of these software applications.
Fortunately, MegaData has a solution to both these problems in the form of a data warehouse. They allow you to consolidate your data in 1 database, while also having AI integrations. This data warehouse can even be implemented as soon as 90 days. Whether you’re a growing healthcare organization or an international chain, data warehouses are the best way to make the most of your patient information.
Source: MegaData
