The effectiveness of automated workplace in public health

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Published: Feb 23, 2026
DOI: https://doi.org/10.51582/interconf.19-20.02.2026.028
Keywords:
public health automation, electronic health records (EHRs), telemedicine and AI diagnostics
Issue
No. 66(283): 11th ISPC «International Scientific Discussion: Problems, Tasks and Prospects» (February 19-20, 2026; Brighton, Great Britain).
Section
Information and Web technologies
Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Main Article Content

Busanam Saipidinova
Osh State University, medical college; Kyrgyz Republic
Zarina Bakieva
Osh State University, medical college; Kyrgyz Republic

Abstract

This article comprehensively examines the efficiency of automated workplaces in public health. It explores the concept, tools, applications, and future potential of automation in improving healthcare services. The focus is placed on electronic health records, telemedicine, AI diagnostics, robotic automation, and their integration into health systems. Practical benefits, such as cost reduction, improved accuracy, and time efficiency, are discussed alongside challenges including data security and infrastructure limitations. The paper aims to support healthcare professionals, policymakers, and technologists in understanding the transformative role of automation in public health.


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Article Details

How to Cite
Saipidinova, B., & Bakieva, Z. (2026). The effectiveness of automated workplace in public health. Scientific Collection «InterConf+», (66(283), 263–266. https://doi.org/10.51582/interconf.19-20.02.2026.028
Author Biographies

Busanam Saipidinova, Osh State University, medical college; Kyrgyz Republic

Teacher of subject-cycle commission of natural and exact sciences

Zarina Bakieva, Osh State University, medical college; Kyrgyz Republic

Student

References

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Gupta, M., & Taneja, A. (2022). “Telehealth and Automation: Lessons from COVID-19.” Health Informatics International, 15(3), 201-216.

U.S. Centres for Disease Control and Prevention. (2023). Automation in Public Health Surveillance Systems.