Development of Web-enabled Smart Hospital Management System: Patient Data Visualization and Real-time Decision Making

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2024 | Volume :14 | Issue : 03 | Page : 41-46
By
vector

Om Nitin Patil,

vector

Khushboo Sharma,

  1. Student, Department of Computer and Telecommunication, NBN Sinhgad School of Engineering, Pune, Maharashtra, India
  2. Student, Department of Computer and Telecommunication, NBN Sinhgad School of Engineering, Pune, Maharashtra, India

Abstract document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_130664’);});Edit Abstract & Keyword

As everyone is aware, fewer people had access to healthcare services, which prevented many people from receiving the care they needed. The idea that, by WHO criteria, there should be one physician for every 1,000 patients is nearly unbelievable. Yet, India’s current ratio is a staggering 1:1445. This disparity highlights a serious gap in healthcare resources that cannot be ignored. Authors remember speaking with a friend who works in a hospital in a rural area. She shared how overwhelmed the staff felt during the peak of the pandemic. The few doctors and nurses on hand were stretched thin, often working double shifts just to keep up with patient needs. This situation is representative of a global problem rather than a singular occurrence. Medical professionals who treat COVID-19 patients must also wear personal protective equipment (PPE) kits as mandated by law. Despite local manufacturing efforts, there remains a critical shortage of these essential supplies in India. The strain on healthcare workers during these trying times has been immense, showcasing the urgent need for innovative solutions. One promising approach to tackling these challenges is the Internet of Things (IoT). Imagine a system where wearable devices constantly monitor patients’ vital signs, such as SpO2 levels, temperature, and pulse rate. This is happening right now, not only in the future! These devices collect valuable data that can be stored in the cloud. This implies that platforms like Thingspeak or Adafruit allow medical personnel to view patient data from a distance. Picture this: a doctor sitting at home can monitor a patient’s health in real-time without the patient having to be physically present in the hospital. It is similar to having a 24/7 personal health assistant! Such innovative approaches can significantly reduce the burden on healthcare providers. In summary, the challenges faced by hospital management systems today are significant, but they are not insurmountable. By embracing IoT technology and innovative healthcare solutions, we can make strides toward a more efficient and effective healthcare system. There are countless opportunities to improve patient care, and the process is only getting started. As technology continues to evolve, so will our ability to provide timely, personalized healthcare to those who need it most.

Keywords: Cloud services, internet of things (IOT), SpO2 sensor, temperature sensor, ECG sensor, raspberry Pi, remote patient monitoring, healthcare, real-time data analysis, cloud infrastructure

[This article belongs to Journal of Instrumentation Technology & Innovations (joiti)]

How to cite this article:
Om Nitin Patil, Khushboo Sharma. Development of Web-enabled Smart Hospital Management System: Patient Data Visualization and Real-time Decision Making. Journal of Instrumentation Technology & Innovations. 2024; 14(03):41-46.
How to cite this URL:
Om Nitin Patil, Khushboo Sharma. Development of Web-enabled Smart Hospital Management System: Patient Data Visualization and Real-time Decision Making. Journal of Instrumentation Technology & Innovations. 2024; 14(03):41-46. Available from: https://journals.stmjournals.com/joiti/article=2024/view=0

References
document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_ref_130664’);});Edit

  1. Singh A. IoT enabled smart hospital management system for Covid-19 patients. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 2021 Apr 28; 12(10): 4500–
  2. Rath PK, Mahapatro N, Sahoo S, Chinara S. Design and performance analysis of an IoT based health monitoring system for hospital management. In 2021 IEEE International Conference on Computing, Communication, and Intelligent Systems (ICCCIS). 2021 Feb 19; 721–726.
  3. Khurana P, Sharma K. Exploring the role of AI, IoT and BC during COVID-19: A bibliometric and network analysis. In: Computational Intelligence Aided Systems for Healthcare Domain. CRC Press; florida, United States. 2023 Jun 14; 167–190.
  4. Maki O, Alshaikhli M, Gunduz M, Naji KK, Abdulwahed M. Development of digitalization road map for healthcare facility management. Ieee 2022 Jan 26; 10: 14450–62.
  5. Lakshmi GJ, Ghonge M, Obaid AJ. Cloud based IoT smart healthcare system for remote patient monitoring. EAI Endorsed Transactions on Pervasive Health and Technology. 2021;7(28):1-11. DOI: 10.4108/eai.15-7-2021.170296.
  6. Priyan L, Johar MG, Alkawaz MH, Helmi RA. Augmented reality-based COVID-19 SOP compliance: Social distancing monitoring and reporting system based on IOT. In 2021 IEEE 12th Control and System Graduate Research Colloquium (ICSGRC). 2021 Aug 7; 183–188.
  7. bin Eddy Yusuf SS, Helmi RA, Abdullah MI, Jamal A. Towards elderly monitoring management system using IOT. In 2020 IEEE Symposium on Industrial Electronics & Applications (ISIEA). 2020 Jul 17; 1–7.
  8. Bhardwaj V, Joshi R, Gaur AM. IoT-based smart health monitoring system for COVID-19. SN Comput Sci. 2022 Mar; 3(2):
  9. Sharma A, Sing AK, Saxena K, Bansal MA. Smart health monitoring system using IoT. Int J Res Appl Sci Eng Technol. 2020 May; 8(5): 654–
  10. Selvaraj S, Sundaravaradhan S. Challenges and opportunities in IoT healthcare systems: a systematic review. SN Appl Sci. 2020 Jan; 2(1):
  11. Wu X, Liu C, Wang L, Bilal M. Internet of things-enabled real-time health monitoring system using deep learning. Neural Comput Appl. 2023 Jul 15; 35(10): 14565–1457.
Regular Issue Subscription Review Article
Volume 14
Issue 03
Received 02/09/2024
Accepted 07/09/2024
Published 20/09/2024
102