Data Modeling

Mathematical and Computational Data Modeling
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RESEARCH ARTICLE   (Open Access)

Robotic Surgery in Bangladesh: Can Telesurgery Bridge the Urban-Rural Healthcare Divide?.

Abstract I. Introduction 2. Critical Analysis of Contemporary Telesurgery Research 3. Methods 4. Results 5. Discussion References

Sumit Kumar Pramanik 1*, Khondaker A. Mamun 1

+ Author Affiliations

Data Modeling 4 (1) 1-8 https://doi.org/10.25163/data.4110809

Submitted: 20 June 2023 Revised: 10 August 2023  Accepted: 16 August 2023  Published: 18 August 2023 


Abstract

Telesurgery — sometimes called robotic or remote surgery — has quietly moved from speculative fiction to operating-room reality over the past two decades, yet its arrival in developing countries has lagged well behind its uptake in wealthier ones. This paper asks, fairly directly, whether Bangladesh could realistically adopt the technology, and what stands in the way if it can't yet. Rather than running a formal systematic review, we worked through a curated set of twelve studies published mostly between 2018 and 2023 (with one older 2015 paper kept deliberately, since it was among the first to demonstrate that telesurgical systems could actually be attacked), pulling out recurring threads around network latency, cybersecurity, cost, and clinical adoption. What emerged was a picture less dramatic than either the optimists or the skeptics might expect: the core robotics and 5G-enabled low-latency communication appear technically sound, even tested successfully in cross-border heart surgery, but cybersecurity vulnerabilities, unresolved cross-jurisdictional regulation, and acquisition costs running into the millions remain serious obstacles. Urology, gynaecology, and oncosurgery currently dominate global robotic-surgery caseloads, hinting at where Bangladesh might reasonably pilot a first attempt. We argue that closing the gap will depend less on the robots themselves and more on telecommunications investment, shared or subsidized infrastructure models, and a regulatory framework built specifically for remote, cross-border operative liability.Keywords: Telesurgery; Robotic Surgery; Tactile Internet; Bangladesh; Healthcare Access; Cybersecurity; 5G Networks

References

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de Medeiros Sousa, G., & Pinto Santos, A. M. (2023). The viability of Telesurgery Service in the Autonomous Region of the Azores, supported by the 5G Network. Procedia Computer Science, 219, 422–430.

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Gupta, R., Tanwar, S., Tyagi, S., & Kumar, N. (2019). Tactile-internet-based telesurgery system for healthcare 4.0: An architecture, research challenges, and future directions. IEEE Network, 33(6), 22–29.

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Miao, Y., Jiang, Y., Peng, L., Hossain, M. S., & Muhammad, G. (2018). Telesurgery robot based on 5G tactile internet. Mobile Networks and Applications, 23, 1645–1654.

Mohan, A., Wara, U. U., Shaikh, M. T. A., Rahman, R. M., Zaidi, Z. A., & Shaikh, M. T. A. (2021). Telesurgery and robotics: An improved and efficient era. Cureus, 13(3), e13775.

Munteanu, A., Muradore, R., Merro, M., & Fiorini, P. (2018, May). On cyber-physical attacks in bilateral teleoperation systems: An experimental analysis. In 2018 IEEE Industrial Cyber-Physical Systems (ICPS) (pp. 159–166). IEEE.

Sedaghat, S., & Jahangir, A. H. (2021). RT-TelSurg: Real-time telesurgery using SDN, fog, and cloud as infrastructures. IEEE Access, 9, 52238–52251.

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Wikipedia. (2022). Remote surgery. Retrieved June 13, 2022, from https://en.wikipedia.org/wiki/Remote_surgery

 


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