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enterprise image exchange
June 13, 2019

Imaging Data: The Missing Link in AI Adoption for Healthcare

In an interview, Janak Joshi, Chief Technology Officer and Head of Strategy with Life Image, talked about how the company is working with technology vendors developing AI tools for healthcare. Joshi is taking part in a panel discussion on AI at the MedCity CONVERGE conference in Philadelphia June 19.

Life Image made a name for itself in the image sharing space. In recent years the company has sought to play a vital role in the evolving landscape of AI applications for healthcare.

In an interview Janak Joshi, Chief Technology Officer and Head of Strategy with Life Image, talked about some of the milestones Life Image has reached and how it is collaborating with technology vendors to address some of the data challenges of AI adoption in healthcare.

Joshi will be taking part in MedCity’s CONVERGE conference on innovation in cancer treatment June 19 in Philadelphia. He will be on a panel discussing the data problems that make widespread adoption of AI in healthcare complicated.

Medical image sharing is a popular segment of the digital health sector these days. But what was the landscape like when your company launched 11 years ago?

Eleven years ago, our ability to digitize medical images at scale in a consistent way was non-existent. Further, these images were siloed and not a part of your core medical record, despite its critical role for many point-of-care decisions. Medical images were not easily accessible or readily available during routine clinical and treatment decisions. There was no widely adopted, interoperable, vendor-agnostic provider network or a standards-based process or technology that allowed medical images to flow across health systems. And these data silos of medical images proved even more difficult for patients to break down when they need to access their medical images throughout their individual patient journey. This negatively affected care coordination and patient outcomes. A burden was placed on patients to courier their uninterpretable images, which were given to them by imaging modality manufacturers, not their medical providers. The lack of digitized medical images, including pathology, radiology, and cardiology significantly increased the cost of healthcare as patients underwent repeat and unnecessary additional testing. There was a general lack of collaboration and transparency among manufacturers.

Read the complete interview here.