The hottest Data Exchange Substack posts right now

And their main takeaways
Category
Top Health & Wellness Topics
Health API Guy 530 implied HN points 10 Apr 23
  1. Integration with healthcare organizations can be achieved through three primary paths: direct-to-database, robotic process automation (screen-scraping), and sanctioned interfaces.
  2. Direct-to-database integration offers high potential but comes with challenges like varying schemas, brittle connections, and strict security protocols.
  3. Robotic process automation (screen-scraping) provides automation of repetitive tasks, easier access to data shown on user interfaces, and less complex security challenges compared to direct-to-database integration.
healthviva 19 implied HN points 31 Jan 24
  1. FHIR is a web-based standard for exchanging healthcare data, offering opportunities for developers in the HealthTech industry.
  2. FHIR revolutionizes healthcare data exchange by utilizing patient-generated health data (PGHD) from wearable devices and trackers.
  3. FHIR benefits include interoperability, flexibility, security, ease of development, and cost savings, but challenges exist like transitioning from HL7, choosing the right standard, and ensuring privacy and security.
healthviva 19 implied HN points 06 Jul 23
  1. Digital transformation in healthcare is being driven by evolving patient expectations, interoperability challenges, and a shift towards value-based care.
  2. API-led innovation empowers patients to access health data, helps providers improve care through data sharing, and assists payors in streamlining operations.
  3. Challenges in digital healthcare transformation include API security, scalability, maintenance, and regulatory compliance, highlighting the need for a comprehensive approach.
Gradient Flow 99 implied HN points 23 Nov 21
  1. Confidential Computing involves protecting data in all states: at rest, in use, and in transit.
  2. Confidential Computing tools focus on safeguarding data while being used, a difficult task due to the need for data to be unencrypted for computation.
  3. DataOps and MLOps are important for modern data governance and management, emphasizing the need for strong metadata platforms and strategies to avoid MLOps mistakes.
Gradient Flow 19 implied HN points 03 Jun 21
  1. Model monitoring is crucial for robust machine learning applications to ensure they perform as expected over time
  2. Delta Live Tables simplifies the ETL lifecycle by allowing data engineers to build pipelines using SQL queries
  3. Greykite, an open source library for time series forecasting, offers speed and flexibility but requires investment to learn for production use
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