Healthcare innovation relies on a strong data foundation, and setting up the right infrastructure to turn data into insights can be a challenge for healthcare organizations. According to the report, common roadblocks include maintaining data and infrastructure on-premises and failing to organize patient data in a way that benefits the entire patient population.
Mayo Clinic’s journey to overcome these roadblocks began almost 15 years ago, when it adopted an electronic health records system. This allowed the clinic to provide patients with a consistent experience at all its locations.
The next step was to move from on-premises data storage to the cloud, which enabled the creation of new use cases. They established principles for data management, including the idea that data is an enterprise capability that should be stewarded on behalf of patients.
This approach helped to break down silos and make patient data available to the entire organization. Mayo Clinic then pushed de-identified data into the cloud, which enabled further analysis and innovation, such as shared data initiatives.
Mayo Clinic developed its data-driven culture by encouraging stakeholders to become more data-minded. The clinic’s approach is based on the principle that multiple specialties must come together to achieve the best outcome.
This approach helps to break apart silos and integrate research and clinical practice. The clinic’s founding principles, which emphasize teaching and learning, also contribute to its data-centric culture.
AI is helping to scale the Mayo Clinic Platform by de-identifying data, curating large-scale data sets, and automating operational tasks. The clinic is using AI to create standardized notes, improve efficiencies, and support administrative tasks.
The ultimate goal is to change the practice of medicine by consolidating information, upskilling healthcare professionals, and delivering precision medicine. The clinic’s platform has a massive amount of data.
It has 36 petabytes of data, which requires AI tools to manage. The clinic is using AI to improve the experience of prior authorization, getting results, and making appointments.
By automating these tasks, the clinic hopes to lower the cost of healthcare and focus on delivering care. The Mayo Clinic Platform is looking to introduce more automation and release tools on top of the data.
This will enable the clinic to invite partners with fewer financial resources and bring in other data sets, such as waveform data and molecular data. They believe that this approach will help healthcare professionals find new insights and rapidly make real changes in the practice of medicine, much like pioneering aortic surgery has done.
By bringing together different types of data, the clinic can release tools that help healthcare professionals find new insights.
This approach has the potential to rapidly make real changes in the practice of medicine, based on additional insight from data.
As the clinic continues to develop its platform, it is likely to have a significant impact.
It will likely have a significant impact on the healthcare industry.