Artificial intelligence and machine learning improve healthcare
The Hospital Internal Medicine Innovation Lab at Mayo Clinic uses artificial intelligence to develop powerful tools to improve healthcare.
Overview
The Hospital Medicine Innovation Laboratory led by Alexander J. Ryu, M.D., combines expertise in data science, informatics, artificial intelligence (AI) and product development to develop new tools and practices that advance the care of people at Mayo Clinic. The lab's organizational culture embraces technology, creativity and open debate.
Focus areas and accomplishments include:
- AI feasibility assessment, model design, development and validation. The lab developed Mayo's first in-house machine learning model to predict the need for hospital admission.
- Implementation science and study design for AI and informatics tools.
- Clinical software application development.
- Integration and analysis of multi-omics datasets.
- Electronic health record optimization, including clinical decision support tool creation and evaluation.
- Electronic health record data structures and queries.
- Cloud computing for data science and AI.
- Virtual care and telemedicine.
- Financial analysis of technological initiatives.
- Creation of organizational culture that embraces innovation and digital transformation.
Within these domains, our team brings unique clinical, scientific and leadership expertise from multiple top healthcare institutions and the leading electronic health record vendor, as well as formal and informal training in informatics and data science. Members of our team have published, won funding and received leadership appointments in these spaces intramurally and extramurally. We also have collaborated on projects across a variety of medical specialties. We welcome additional opportunities to collaborate.