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Related Concept Videos

Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Uncertainty: Overview00:59

Uncertainty: Overview

In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
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.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
The Availability Heuristic01:08

The Availability Heuristic

A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
Midrange01:07

Midrange

A somewhat easy to compute quantitative estimate of a data set’s central tendency is its midrange, which is defined as the mean of the minimum and maximum values of an ordered data set.
Simply put, the midrange is half of the data set’s range. Similar to the mean, the midrange is sensitive to the extreme values and hence the prospective outliers. However, unlike the mean, the midrange is not sensitive to all the values of the data set that lie in the middle. Thus, it is prone to outliers and...
Hindsight Biases01:12

Hindsight Biases

Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?

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Related Experiment Video

Updated: May 24, 2026

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

A hazy outlook for cloud computing.

Gabriel Perna

    Healthcare Informatics : the Business Magazine for Information and Communication Systems
    |February 23, 2012
    PubMed
    Summary
    This summary is machine-generated.

    Healthcare organizations face challenges adopting cloud storage due to costs and security. IT leaders are developing tailored strategies to overcome these hurdles for cloud-based storage implementation.

    Related Experiment Videos

    Last Updated: May 24, 2026

    Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
    10:15

    Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

    Published on: February 3, 2021

    Area of Science:

    • Health IT
    • Cloud Computing
    • Data Management

    Background:

    • Healthcare organizations face significant barriers to cloud storage adoption.
    • Competing priorities, cost, security, and implementation challenges hinder progress.

    Purpose of the Study:

    • To explore the strategies employed by healthcare IT leaders for cloud storage adoption.
    • To understand how organizational needs, resources, and priorities influence these strategies.

    Main Methods:

    • Analysis of current trends in healthcare cloud storage adoption.
    • Review of strategies implemented by Chief Information Officers (CIOs) and Chief Technology Officers (CTOs).

    Main Results:

    • Cloud-based storage development in healthcare has been slow.
    • IT leaders are employing diverse strategies based on specific organizational contexts.
    • Key concerns include cost, security, and implementation complexities.

    Conclusions:

    • Healthcare's slow adoption of cloud storage is driven by practical concerns.
    • Strategic, context-specific approaches are crucial for successful cloud integration in healthcare IT.