How to architect an AI/ML powered Healthcare platform on Google Cloud

Vida Health vice president of engineering Amol describes Vida's 2021 consolidation of application, analytics, workspace, and machine-learning workloads, including provider-assistance concepts.

Key Points Covered

• Amol attributes cost and developer-productivity benefits to consolidation and reports an approximate cost reduction. [00:00:00]-[00:03:10]
• He describes assistive note-taking, caseload prioritization, and protocol recommendations. [00:03:10]-[00:07:22]
• Multiple health-data sources landed in BigQuery; Vertex AI use was only exploratory. [00:07:22]-[00:10:31]
• Migration was completed with SADA, but Cloud Healthcare API and FHIR storage were future plans. [00:16:54]-[00:21:07]
• This 2021 customer account is not a reusable reference design; verify current documentation and workloads and require healthcare, clinical-safety, privacy, consent, compliance, interoperability, model-risk, data-governance, and security review.

Full video: https://www.youtube.com/watch?v=QjMl9lgcOU0(opens in a new tab)