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Artificial intelligence assisted acute patient journey.

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Summary

Artificial intelligence (AI) and machine learning (ML) can optimize patient care by enabling remote monitoring and efficient resource allocation. This digital transformation aims to reduce healthcare costs and improve the patient journey.

Keywords:
AI-based clinical decision support systemAutomated EMR summaryacute patient journeyartificial intelligenceelectronic-triagehealth IoT

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Area of Science:

  • Healthcare technology
  • Artificial intelligence in medicine
  • Digital health transformation

Background:

  • The COVID-19 pandemic highlighted critical issues in healthcare coordination, communication, and resource management.
  • Healthcare systems face increasing data complexity, rising costs, and provider burnout.
  • A shift towards cyber-physical healthcare spaces is emerging, driven by digital transformation.

Purpose of the Study:

  • To outline the blueprint for an artificial intelligence (AI) and machine learning (ML)-assisted patient journey.
  • To explore the impact of AI/ML on healthcare provision and resource utilization.
  • To address physician concerns and enhance user experience within AI-enabled healthcare systems.

Main Methods:

  • Conceptualizing an AI/ML-assisted patient journey framework.
  • Integrating Internet of Things (IoT) and telehealth technologies.
  • Analyzing the potential of AI/ML algorithms for resource management and patient monitoring.

Main Results:

  • AI/ML can facilitate remote patient monitoring, reducing hospital admissions.
  • Implementation of AI/ML, IoT, and telehealth can lead to more just healthcare resource allocation.
  • Potential to avoid wastage of financial and intellectual resources in healthcare.

Conclusions:

  • AI/ML-assisted systems offer a transformative opportunity for healthcare provision.
  • Designing patient journeys with AI/ML requires prioritizing user experience and addressing physician concerns.
  • The integration of AI/ML promises a more efficient, equitable, and sustainable healthcare future.