The Queue’s Automated Creation of Doctor’s Calls by Patients in the Hospital with Visualization via the Mobile Application

Authors

  • Iryna Zhuravska Department of Computer Engineering, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine
  • Mykhailo Dvoretskyi Software Engineering Department, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine
  • Inessa Kulakovska Department of Intelligent Information Systems, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine
  • Anzhela Boiko Department of Computer Engineering, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine
  • Svitlana Dvoretska Software Engineering Department, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine

DOI:

https://doi.org/10.13052/jmm1550-4646.19311

Keywords:

Automatic doctor calls’ queue, microcontroller system, Platonic polyhedra, determining the direction of the sound source, Mobile Applications

Abstract

The spread of the COVID-19 virus is challenging society to provide medical care to a growing number of patients in the hospital. It is important to determine the patient from whom an urgent appeal was received earlier and to automate the creation of the calls’ queue. Determining the direction of the sound source, which is the patient’s voice, can be realized using the passive acoustic location method. In this case, it is necessary to place sound sensors in the wards with patients. In such a case, these sensors it is expedient to build in the lighting equipment executed in the shape of Platonic polyhedra. The microcontroller system, located inside such a spatial structure, ensures the transmission of sound to a server computer system. The above system alternately records the receipt of urgent appeals, analyzes the location of the sound source, and sends the relevant data to the doctor’s smartphone. The mobile application visualizes information about the location of the patients who need consultation or help. The proposed solution for intelligent analysis of voice appeals by inpatients may also be useful for post-stroke, post-infarction, and other bedridden patients who are unable to call medical staff otherwise than a voice.

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Author Biographies

Iryna Zhuravska, Department of Computer Engineering, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine

Iryna Zhuravska, Professor, Head at the Computer Engineering Department, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine. Area of interest: Computer Networking, Network Communication, Network Architecture, IT Security, Wireless Security, Modeling/Simulation of Computer Networks and Systems.

Mykhailo Dvoretskyi, Software Engineering Department, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine

Mykhailo Dvoretskyi, Associate Professor at the Software Engineering Department, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine. Area of interest: Software Engineering, Databases, Information Theory.

Inessa Kulakovska, Department of Intelligent Information Systems, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine

Inessa Kulakovska, Associate Professor at the Intelligent Information Systems Department, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine. Area of interest: graph theory (discrete mathematics), logistics, system analysis, operations research and more.

Anzhela Boiko, Department of Computer Engineering, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine

Anzhela Boiko, Associate Professor at the Computer Engineering Department, Head at the Computer Science Faculty, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine. Area of interest: 3D Simulation, Optimization, Genetic Algorithms, etc.

Svitlana Dvoretska, Software Engineering Department, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine

Svitlana Dvoretska, Master of Computer Science, Senior Lecturer at the Software Engineering Department, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine. Area of interest: Software Engineering, Coding, Databases.

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Published

2023-02-15

How to Cite

Zhuravska, I. ., Dvoretskyi, M. ., Kulakovska, I. ., Boiko, A. ., & Dvoretska, S. . (2023). The Queue’s Automated Creation of Doctor’s Calls by Patients in the Hospital with Visualization via the Mobile Application. Journal of Mobile Multimedia, 19(03), 897–934. https://doi.org/10.13052/jmm1550-4646.19311

Issue

Section

Artificial Intelligence in Automation with Mobile Applications