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Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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.
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Health Information Technology and Healthcare Information System01:30

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Nursing Clinical Information System01:27

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Nursing Clinical Information System (NCIS)
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Integrated Healthcare System01:20

Integrated Healthcare System

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,...
Ethical Standards I01:25

Ethical Standards I

The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
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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.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is limited...

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Related Experiment Video

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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Cloud computing: a new business paradigm for biomedical information sharing.

Arnon Rosenthal1, Peter Mork, Maya Hao Li

  • 1The MITRE Corporation, Bedford, MA, USA.

Journal of Biomedical Informatics
|September 1, 2009
PubMed
Summary
This summary is machine-generated.

Cloud computing offers significant cost savings and performance improvements for biomedical informatics (BMI) consortia. Careful evaluation of specific cloud services versus existing systems is crucial for successful adoption.

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Area of Science:

  • Biomedical Informatics
  • Computational Science
  • Data Management

Background:

  • Biomedical informatics (BMI) communities, particularly data-sharing consortia, face challenges with existing data and application resources.
  • Cloud computing presents a novel resource with on-demand availability and pay-per-use models.
  • Economies of scale in cloud infrastructure can potentially reduce costs compared to institutional data centers or lab systems.

Purpose of the Study:

  • To evaluate the advantages of cloud computing for the biomedical informatics community.
  • To analyze the cost-effectiveness and performance benefits of cloud resources for BMI applications.
  • To provide a methodological framework for assessing cloud adoption in BMI.

Main Methods:

  • Formulating analyses based on component technologies to bypass definitional ambiguities of cloud computing.
  • Conducting relative analyses comparing cloud systems to existing infrastructure (e.g., individual lab systems, institutional data centers).
  • Focusing on changes from a specific starting point rather than absolute strengths and weaknesses.

Main Results:

  • Cloud computing can offer substantial cost reductions and major improvements for non-I/O intensive BMI applications.
  • The analysis of component technologies and relative comparisons simplified the evaluation process.
  • Potential cost savings are significant, even with conservative assumptions.

Conclusions:

  • Cloud computing should be seriously considered by the biomedical informatics community for data and application sharing.
  • The benefits are most pronounced for applications that are not I/O intensive and do not require a fully mature environment.
  • A thorough examination of individual cloud acquisitions is necessary to ensure a move from a less to a more secure and well-managed environment.