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June 4, 20260 citationsOpen Access

A Composite Function on the Integration of Technology, Management and Care: Targeting Sepsis for Quality of Life and Mitigation of Morbidity and Mortality

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DSDr. Chrysanthus Chukwuma Sr*

Key Points

  • This study aims to explore how integrating technology into sepsis management can enhance patient care and outcomes.
  • Review of current trends and challenges in sepsis management.
  • Identification of technological innovations such as AI and ML in healthcare.
  • Assessment of economic impacts and resource distribution in sepsis management.
  • Highlighted the potential of AI and ML to improve diagnostic accuracy and patient monitoring.
  • Identified barriers to technology integration in healthcare systems, such as regulatory challenges.
  • Emphasized the need for ethical compliance and privacy protection in deploying new technologies.

Abstract

The future of healthcare regarding sepsis and associated sequelae is inextricably linked on striking a premium balance between technological progress and human medical professionalism, forging collaborative smart models which leverage the complementarity in the potentialities of all parties for goal achievement and sustainability in diverse geopolitical spheres. This study adeptly encapsulates the global burden of sepsis, with a comprehensive narrative of current problems and innovative antidotes. The integration of technology, into sepsis management is pertinent, timely and adroit, with the potential for patient care evolution and scalability. The economic burden takes cognizance of the exerting and exacting need for systemic improvements in vulnerable populations and inequitable distribution of resources geopolitically. Integration of technology, specialized management of complex patients, and evidence-based protocols for sepsis may incessantly evolve and transform evidence-based diagnosis for critical illnesses via facilitating data interpretation, improvements of diagnostic accuracy, and accelerated prompt authentication using artificial intelligence (AI), machine learning (ML) and other tools guided by specialists in the medical field, contextually in sepsis and sepsis-related disorders. The theme and contents of this review contextually represent and highlight a paradigm shift in health and healthcare delivery, providing unlimited opportunities and leverage on priorities in diagnosis, therapy individualisation, and supportive clinical decision which may be of benefit globally, especially in vulnerable populations. The convergence of digital utilisation and professional medical nuance enhance opportunities and priorities for earlier disease identification, greater specific target and drug therapy detection with pertinent patient monitoring and evaluation. As technical progress is proficient to establish sustainable outcomes in controlled settings, optimistic integration into complex healthcare ambients necessitate overcoming implementation barriers, restrictive regulatory structures, and economic burden and inequitable distribution of resources. Fundamental rights and privacy protection protocols and ethical compliance must evolve concomitantly and contemporaneously with technological potentialities for sustenance of trust and ensure confidentiality with the patient and family members.

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Cite This Study

Dr. Chrysanthus Chukwuma Sr* (2026) studied this question.

synapsesocial.com/papers/6a2117bfd499ed480b1708d8https://doi.org/10.5281/zenodo.20502147
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