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Allied Health Subject Guide: Health Management

Alerts - Important Information Worth Knowing

Alerts - Important Information Worth Knowing

 

Top Health Management Database Options

  • Healthcare Cost and Utilization Project (HCUPnet)
    HCUPnet is a free, on-line query system based on data from the Healthcare Cost and Utilization Project (HCUP). It provides access to health statistics and information on hospital inpatient and emergency department utilization.
  • Cumulative Index to Nursing and Allied Health Literature (CINAHL)
    Full text materials include 72 journals plus legal cases, clinical innovations, critical paths, drug records, research instruments and clinical trials from the fields of nursing and allied health.
  • Science Direct
    Access abstracts from the most frequently cited journals in the fields of science, technology and medicine, including browsable tables of contents as well as full text of journals to which the library subscribes.
  • PubMed
    PubMed, a service of the National Library of Medicine, includes citations for biomedical articles from MEDLINE and additional life science journals.
  • Access Medicine
    Provides access to more than 60 medical titles from the best minds in medicine, thousands of images and illustrations, interactive self-assessment, case files, diagnostic tools, a comprehensive search platform, and the ability to view from and download content to a mobile device.
  • Statistical Abstract of the United States
    Contains a collection of statistics on social and economic conditions in the United States. Selected international data are also included. ​
  • Browzine
    Browse, read, and monitor key journals in your field through HU libraries.  With the Browzine App you can create a bookshelf of your favorite journals for easy, and fast access.

Artificial Intelligence Spotlight Citations

Below are a few citations for articles regarding Artificial Intelligence.  You may find the information interesting and useful.  Just copy and paste its associated URL into a browser to access the full text of the article.

 

1. Hamet, P., & Tremblay, J. (2017). Artificial intelligence in medicine. 

Metabolism: clinical and experimental, 69S, S36–S40

https://doi.org/10.1016/j.metabol.2017.01.011  

https://pubmed.ncbi.nlm.nih.gov/28126242/                                                            PMID: 28126242. 

 

2.   Jabarulla, M. Y., & Lee, H. N. (2021).

A Blockchain and Artificial Intelligence-Based,

Patient-Centric Healthcare System for Combating

the COVID-19 Pandemic: Opportunities and Applications.

Healthcare (Basel, Switzerland), 9(8), 1019

https://pubmed.ncbi.nlm.nih.gov/34442156/                                                          PMID: 34442156

 

3.  Ghai, B., & Mueller, K. (2023). D-BIAS: A Causality-Based

Human-in-the-Loop System for Tackling Algorithmic Bias.

IEEE transactions on visualization and computer graphics, 

29(1), 473–482

https://pubmed.ncbi.nlm.nih.gov/36155458/                                                          PMID: 36155458

 

4. Paton, C., & Kobayashi, S. (2019).

An Open Science Approach to Artificial Intelligence in Healthcare.

 Yearbook of medical informatics, 28(1), 47–51. 

https://pubmed.ncbi.nlm.nih.gov/31022753/                                                         PMID: 31022753

 

5. Wang, F., & Preininger, A. (2019). AI in Health:

State of the Art, Challenges, and Future Directions. 

Yearbook of medical informatics, 28(1), 16–26.

https://pubmed.ncbi.nlm.nih.gov/31419814/                                                      PMID: 31419814

 

 

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