Big Data and Healthcare Analytics
DOI:
https://doi.org/10.55662/JST.2021.2301Downloads
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Big Data, Healthcare Analytics, American healthcare industryAbstract
This paper delves into the use of mobile-based or computer-based apps for reducing patient readmission rates in the American healthcare industry. Such interventions are required for improving population health, increasing patient satisfaction, and reducing costs per capita. The aim of the quadruple aim is to simultaneously achieve its three major goals that are mentioned above. It will also investigate the concept of big data from a generalized perspective before inspecting its application in health analytics and information management systems. One potentially effective approach of introducing and marrying these two distinct concepts would involve exemplifying the adoption of digital electronic terminals in healthcare facilities. Additionally, the Quadruple Aim would be analyzed from the perspective of creating efficiency and strategic operational capacity; which is the essence of big data and health analytics.
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Copyright (c) 2021 Dr. Hemant Garg
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License Terms
Ownership and Licensing:
Authors of this research paper submitted to the Journal of Science & Technology retain the copyright of their work while granting the journal certain rights. Authors maintain ownership of the copyright and have granted the journal a right of first publication. Simultaneously, authors agreed to license their research papers under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.
License Permissions:
Under the CC BY-NC-SA 4.0 License, others are permitted to share and adapt the work, as long as proper attribution is given to the authors and acknowledgement is made of the initial publication in the Journal of Science & Technology. This license allows for the broad dissemination and utilization of research papers.
Additional Distribution Arrangements:
Authors are free to enter into separate contractual arrangements for the non-exclusive distribution of the journal's published version of the work. This may include posting the work to institutional repositories, publishing it in journals or books, or other forms of dissemination. In such cases, authors are requested to acknowledge the initial publication of the work in the Journal of Science & Technology.
Online Posting:
Authors are encouraged to share their work online, including in institutional repositories, disciplinary repositories, or on their personal websites. This permission applies both prior to and during the submission process to the Journal of Science & Technology. Online sharing enhances the visibility and accessibility of the research papers.
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Authors are responsible for ensuring that their research papers do not infringe upon the copyright, privacy, or other rights of any third party. The Journal of Science & Technology and The Science Brigade Publishers disclaim any liability or responsibility for any copyright infringement or violation of third-party rights in the research papers.