Financial Management in Surgical Departments: Balancing Cost, Quality, and Patient Care

Authors

  • Muhammad Barqah Prantama
  • B. Venugopal
  • Yogesh Gharpure
  • Krishna Murthy Inumula
  • Aradhana Sahu
  • Rajasekar G

DOI:

https://doi.org/10.52783/jns.v14.3070

Keywords:

financial management, surgical departments, cost optimization, patient care, robotic surgery, telemedicine, automated billing

Abstract

Balancing cost efficiency, technical developments, and patient care quality in surgical departments depends on good financial management.  The approaches to maximize expenses including investment in innovative surgical technology, effective resource allocation, and cost management actions.  To guarantee long-term financial viability while raising surgical accuracy and patient outcomes, hospitals must carefully assess the cost-benefit of robotic and AI-assisted operations.  By lowering administrative tasks, guaranteeing proper payments, and thereby avoiding errors, the combination of digital health records and automated billing systems improves operational efficiency.  Expanding surgical treatments through specialized programs and sophisticated operations also helps meet patient demand and create income.  Reducing follow-up expenditures, enhancing post-surgical monitoring, and lowering hospital readmissions depend mostly on telemedicine integration. Transparency in invoicing and fair pricing are ethical and patient-centric financial ideas that guarantee surgical treatment accessibility while preserving economic stability.  Using data-driven decision-making, streamlining surgical procedures, and implementing creative healthcare models can help hospitals to reach financial sustainability.  A well-organized financial structure helps surgical departments to balance cost-effectiveness, high-quality treatment, and technical developments, so guaranteeing long-term development and better healthcare results.

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References

Xu, C.; Qu, Y.; Luan, T.H.; Eklund, P.W.; Xiang, Y.; Gao, L. A Lightweight and Attack-Proof Bidirectional Blockchain Paradigm for Internet of Things. IEEE Internet Things J. 2022, 9, 4371–4384.

Ning, Z.; Xia, F.; Ullah, N.; Kong, X.; Hu, X. Vehicular Social Networks: Enabling Smart Mobility. IEEE Commun. Mag. 2017, 55, 16–55.

Zhao, H.; Zhang, Y.; Huang, X.; Xiang, Y.; Su, C. A Physical-Layer Key Generation Approach Based on Received Signal Strength in Smart Homes. IEEE Internet Things J. 2022, 9, 4917–4927.

Wu, M.; Wang, K.; Cai, X.; Guo, S.; Guo, M.; Rong, C. A Comprehensive Survey of Blockchain: From Theory to IoT Applications and Beyond. IEEE Internet Things J. 2019, 6, 8114–8154.

Ning, Z.; Chen, H.; Wang, X.; Wang, S.; Guo, L. Blockchain-Enabled Electrical Fault Inspection and Secure Transmission in 5G Smart Grids. IEEE J. Sel. Top. Signal Process. 2022, 16, 82–96.

Wang, X.; Ning, Z.; Guo, L.; Guo, S.; Gao, X.; Wang, G. Mean-Field Learning for Edge Computing in Mobile Blockchain Networks. IEEE Trans. Mob. Comput. 2022.

Choi, T.M. Financing Product Development Projects in the Blockchain Era: Initial Coin Offerings Versus Traditional Bank Loans. IEEE Trans. Eng. Manag. 2022, 69, 3184–3196.

Shang, Z.; Ma, M.; Li, X. A Secure Group-Oriented Device-to-Device Authentication Protocol for 5G Wireless Networks. IEEE Trans. Wirel. Commun. 2020, 19, 7021–7032.

Wang, X.; Ning, Z.; Guo, S.; Wen, M.; Guo, L.; Poor, V. Dynamic UAV Deployment for Differentiated Services: A Multi-Agent Imitation Learning Based Approach. IEEE Trans. Mob. Comput. 2021.

Wang, X.; Ning, Z.; Wang, L. Offloading in Internet of Vehicles: A Fog-Enabled Real-Time Traffic Management System. IEEE Trans. Ind. Inform. 2018, 14, 4568–4578.

Ning, Z.; Zhang, K.; Wang, X.; Obaidat, M.S.; Guo, L.; Hu, X.; Hu, B.; Guo, Y.; Sadoun, B.; Kwok, R.Y.K. Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System. IEEE Trans. Intell. Transp. Syst. 2021, 22, 5201–5212.

Ning, Z.; Zhang, K.; Wang, X.; Guo, L.; Hu, X.; Huang, J.; Hu, B.; Kwok, R.Y.K. Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution. IEEE Trans. Intell. Transp. Syst. 2021, 22, 2212–2225.

Ning, Z.; Huang, J.; Wang, X.; Rodrigues, J.J.P.C.; Guo, L. Mobile Edge Computing-Enabled Internet of Vehicles: Toward Energy-Efficient Scheduling. IEEE Netw. 2019, 33, 198–205.

Wazid, M.; Bera, B.; Das, A.K.; Mohanty, S.P.; Jo, M. Fortifying Smart Transportation Security through Public Blockchain. IEEE Internet Things J. 2022, 9, 16532–16545.

Wang, Y.; Zhang, A.; Zhang, P.; Qu, Y.; Yu, S. Security-Aware and Privacy-Preserving Personal Health Record Sharing Using Consortium Blockchain. IEEE Internet Things J. 2022, 9, 12014–12028.

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Published

2025-04-05

How to Cite

1.
Barqah Prantama M, B. Venugopal BV, Gharpure Y, Inumula KM, Sahu A, Rajasekar G RG. Financial Management in Surgical Departments: Balancing Cost, Quality, and Patient Care. J Neonatal Surg [Internet]. 2025Apr.5 [cited 2025Oct.24];14(11S):895-902. Available from: https://www.jneonatalsurg.com/index.php/jns/article/view/3070

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