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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
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Integrated Healthcare System

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An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
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At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
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Methods of Documentation VI: Case Management Model01:15

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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
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Documentation in Long-Term and Home Healthcare Setting01:29

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Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities
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Related Experiment Video

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TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
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Transforming healthcare with big data analytics and artificial intelligence: A systematic mapping study.

Nishita Mehta1, Anil Pandit2, Sharvari Shukla3

  • 1Symbiosis International (Deemed University), Pune, India.

Journal of Biomedical Informatics
|October 21, 2019
PubMed
Summary

This study maps research on big data analytics and artificial intelligence in healthcare. It identifies research gaps to guide future development in using these technologies for better healthcare delivery.

Keywords:
Artificial intelligenceBig data analyticsHealthcareMachine learningSystematic map

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Area of Science:

  • Healthcare Informatics
  • Data Science
  • Artificial Intelligence

Background:

  • Healthcare generates vast, complex, and rapidly evolving data from diverse sources.
  • Advancements in technology offer significant potential for data-driven healthcare transformation.
  • Existing literature lacks a comprehensive overview of big data analytics and AI applications in healthcare.

Purpose of the Study:

  • To systematically map and analyze the research landscape of big data analytics and artificial intelligence in healthcare.
  • To identify current research trends, application areas, and knowledge gaps.
  • To provide evidence-based insights for future research and industry development.

Main Methods:

  • A systematic mapping study was conducted.
  • Evaluation of 2421 articles published between 2013 and February 2019.
  • Analysis focused on research trends and application areas of big data analytics and AI in healthcare.

Main Results:

  • Identified key research areas and trends in big data analytics and AI within the healthcare domain.
  • Highlighted specific sectors and applications where these technologies are being utilized.
  • Pinpointed areas requiring further investigation and development.

Conclusions:

  • The study provides a comprehensive overview of the current state of research on big data analytics and AI in healthcare.
  • Findings will assist researchers and industry experts in identifying future research directions.
  • Aims to foster advancements in applying these technologies for improved healthcare outcomes.