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Review
. 2022 Oct 4:5:962165.
doi: 10.3389/frai.2022.962165. eCollection 2022.

Artificial intelligence assisted acute patient journey

Talha Nazir  1 , Muhammad Mushhood Ur Rehman  1 , Muhammad Roshan Asghar  1 , Junaid S Kalia  2   3
Affiliations
Review

Artificial intelligence assisted acute patient journey

Talha Nazir et al. Front Artif Intell. .

Abstract

Artificial intelligence is taking the world by storm and soon will be aiding patients in their journey at the hospital. The trials and tribulations of the healthcare system during the COVID-19 pandemic have set the stage for shifting healthcare from a physical to a cyber-physical space. A physician can now remotely monitor a patient, admitting them only if they meet certain thresholds, thereby reducing the total number of admissions at the hospital. Coordination, communication, and resource management have been core issues for any industry. However, it is most accurate in healthcare. Both systems and providers are exhausted under the burden of increasing data and complexity of care delivery, increasing costs, and financial burden. Simultaneously, there is a digital transformation of healthcare in the making. This transformation provides an opportunity to create systems of care that are artificial intelligence-enabled. Healthcare resources can be utilized more justly. The wastage of financial and intellectual resources in an overcrowded healthcare system can be avoided by implementing IoT, telehealth, and AI/ML-based algorithms. It is imperative to consider the design principles of the patient's journey while simultaneously prioritizing a better user experience to alleviate physician concerns. This paper discusses the entire blueprint of the AI/ML-assisted patient journey and its impact on healthcare provision.

Keywords: AI-based clinical decision support system; Automated EMR summary; acute patient journey; artificial intelligence; electronic-triage; health IoT.

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Conflict of interest statement

Authors TN, MM and MA were employed by company NeuroCare.AI Neuroscience Academy. Author JK was employed by company NeuroCare.AI and Neurologypocketbook.com.

Figures

Figure 1
Figure 1
Al-Assisted Acute Patient Journey Mapping.
Figure 2
Figure 2
Health Internet of Things (IoT).
See this image and copyright information in PMC

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