Challenge
Health systems face significant challenges developing and implementing artificial intelligence models into workflows. While AI holds immense promise in revolutionizing medical practices – from diagnostics to personalized treatment plans – implementation in healthcare settings is not without hurdles.
The healthcare industry grapples with issues such as data security and privacy, interoperability of diverse systems, the need for specialized training for healthcare professionals, ethical considerations surrounding patient consent and decision-making, and the overarching concern of maintaining a delicate balance between human expertise and technological advancements.
Navigating these challenges is crucial for realizing the full potential of AI in healthcare, ensuring that advancements in technology contribute positively to patient outcomes while upholding the highest standards of healthcare delivery.
Solution
JCHI has launched an AI deployment platform with development services extending UC San Diego’s existing Health Data Cloud. This AI platform is designed to support the training, deployment, and integration of AI models across the health system. Our goal is to support the use of AI to understand and improve our care by impacting patient safety, quality, efficiency, equity, value, and fostering innovation.
Our AI platform – the foundation for all of our work – is designed to empower every person, caregiver, and clinician with precision health AI-enabled solutions through collaborative innovation at UC San Diego, in our communities, and beyond.
Part of our mission is to expand the AI platform to UC San Diego and other universities and institutions, therefore equipping the next generation of data scientists with tools to build safe and effective AI products in healthcare.
Through our AI platform, we aim to become a hub for developing and applying just and equitable AI-enabled health solutions that transform patient outcomes and experiences across all communities. JCHI’s AI platform is based on our AI Principles, including a commitment to ethical, responsible, and beneficial AI development and deployment for patients and society.