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HL7 FHIR Platform, Scalable, Reliable and Comprehensive of Clinical Databases Analyzed with Machine Learning for ICU Public Healthcare Center

  • Bernardo Chávez Plaza,
  • Jaime Briggs Luque,
  • Luis Chicuy Godoy,
  • Boris Cuevas Figueroa,
  • Rodrigo Covarrubias Ganderat,
  • Manuel Ramírez Izquierdo

摘要

Hospital facilities today have to deal with exponentially increasing volumes of batch and streaming data, comprising a variety of structured, unstructured, and semi-structured data types, originating from an ever-increasing number of sources and disparate devices located in healthcare facilities, such as intensive care units. At the same time, doctors demand faster and easier access to reliable and up-to-date data to make accurate decisions. Finding the right data sets and making them available for analysis is often a complicated process that further slows down clinical decisions. That is compounded by regulatory compliance and security controls that must be manually applied at every step of the data lifecycle, from data generation to analytics. Smart UPC is an interoperable solution that has emerged as an architecture for managing data with machine learning (ML) to overcome these challenges. The layered architecture focuses on making data readily available in a dashboard for Intensive Care Unit users, improving insights based on the use of AI and leveraging automation to simplify administration, the safety and quality of health care, complying with cybersecurity requirements and under very strict ethical standards. Smart UPC, based on a proprietary HL7 FHIR platform offers a unified, scalable, reliable and comprehensive view of ICU clinical data. It is a solution to support applications in decision making in a complex environment, with high critical demand.