Session 206
Artificial Intelligence in Clinical Care Delivery and Opportunities to Accelerate Development and Commercial Strategy

Artificial Intelligence ("AI") has become widely accepted as a viable and necessary tool to support clinicians in their daily efforts to deliver patient care. There is an increasing appetite for applications to do more, such as predict whether a patient will show up for an appointment, assess the risk of incurring a bone fracture, or analyze radiology images to detect unique signs of a rare disease at the earliest stage. As a result, the expectations of AIs are on the rise.

Wide-scale adoption of AI is no longer impeded by the soundness of the data science or limits of computing technology. Instead, concerns surrounding effective and consistent delivery, justification for the financial investment, and the uncertainty of future reimbursement are the challenges that create obstacles for hospitals across the globe from benefiting from this technology.

A similar story unfolded years ago, with the introduction of "apps" for smartphone devices. What started with a novel icon that allowed a user to draw a moustache on a photograph or calculate the driving distance between Point A and B, evolved into online banking and retail shopping. What made this model an overnight sensation? The partnerships between all constituents of the ecosystem because smartphones wirelessly connected to the internet. Being connected to the data content made the apps desirable.

Healthcare's constituents share a similar ecosystem and are perfectly positioned to become the next "App" story. Partnerships between providers, medtech, and pharma are the key to improving the utilization and impact of AI in the clinical care setting. Imagine connecting medtech and pharma to drive the development and delivery of AI content to those providers uniquely positioned to share the data needed to develop and train AI applications.

These ecosystem partnerships must be built on trust and collaboration in order to fulfill the expectations of all participants. If executed in this spirit, this healthcare AI ecosystem will:

This is just the beginning of uncovering the true value of AI in healthcare.


Derek Danois
Chief Data Officer
GE Healthcare

Derek Danois serves as the Chief Data Officer for GE Healthcare. He leads the development and execution of a comprehensive business strategy for the technological & business efforts related to the acquisition, use and management of datasets for Artificial Intelligence applications and various product development efforts from around the globe. During his 7 years with GEHC, he has held various executive leadership roles across the Imaging, Digital, and consulting business units.

Mr. Danois has extensive experience in the business operations and technology enablers required to effectively deliver patient care across multiple global delivery models. He has 20 years of healthcare, technology and global management experience; across multiple providers, payer and technology organizations.

Prior to joining GE, Derek was a Senior Partner at Accenture in their IT Strategy & Transformation practice where he was the Global Industry Lead for the Medical Imaging and Medical Equipment Technology Practice. In this role he led multinational engagements for clients in the healthcare, telecommunications, Life Science and Med-Tech industries.