Cloud computing and AI are key to healthier communities

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PARCA eNews – Aug. 23, 2021 – Interoperability, cloud computing and artificial intelligence are keys to improving patient outcomes and providing the preventative healthcare that will increase efficiency and lower healthcare costs in the future, according to Phoebe Yang, general manager for nonprofit healthcare at Amazon Web Services.

In an interview in Healthcare IT News, Yang said that interoperability and AI/machine learning can help physicians predict health issues for individuals and across populations, and cloud computing combined with Fast Healthcare Interoperability Resources (FHIR) is playing a driving role in data interoperability by helping de-identifying patient data to allow large-scale analysis while upholding privacy.
Using pathology as and example, Yang notes that the digital images pathologists use can be 10 times the size of radiology images. Consequently, maintaining, indexing and retrieving pathology images can easily overwhelm traditional PACS or other image management systems.

Using the cloud and AI the US Government’s Joint Pathology Center and digital pathology platform developer Proscia have been able to automate and streamline digitization of the world’s largest library of pathology specimens.

Yang adds that cloud-based machine learning and AI can accelerate the digitization and use of healthcare data allowing clinicians to produce more precisely targeted therapies that wouldn’t be possible with current methods.

The full text of her interview appear online at Healthcare IT News.