Cost-Benefit Modeling of Robotics in Neurovascular Care: A Service Line Perspective

Oluwadamilola Adeleke^1,

¹Rush University Medical Center, Greater Chicago Area, Chicago. Illinois. USA

Cite this paper:
Oluwadamilola Adeleke. Cost-Benefit Modeling of Robotics in Neurovascular Care: A Service Line Perspective. Journal of Finance and Economics. 2025; 13(3):88-93. doi: 10.12691/jfe-13-3-1

Abstract

Neurovascular disorders, such as strokes and aneurysms, present significant global health and economic challenges. Robotic systems in neurovascular interventions offer promising improvements in procedural precision, safety, and clinical outcomes; however, their high acquisition and operational costs require rigorous financial justification. This study developed a service line-focused cost-benefit model to evaluate the financial viability and strategic value of robotic-assisted neurovascular systems. Using a mixed-methods approach, the study integrated a five-year deterministic financial model with qualitative interviews involving clinicians, hospital administrators, and strategic planners. Data were derived from vendor pricing, peer-reviewed literature, hospital budget reports, and expert insights. The model incorporated capital, operational, and clinical parameters and included sensitivity analyses to assess key variables such as procedural volume, reimbursement rates, and complication-related savings. Results indicated a projected net benefit of $21.4 million over five years under baseline assumptions, with procedural volume being the most influential factor in financial outcomes. Break-even analysis revealed that a minimum of 150 procedures per year is required for viability. Qualitative findings emphasized non-financial advantages, including improved physician recruitment, institutional prestige, and tele-robotic capabilities. These findings offer hospital decision-makers a comprehensive framework for evaluating robotic investments in neurovascular care.

Keywords:
neurovascular care robotics cost-benefit analysis service line hospital investment procedural volume

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]	World Health Organization, "World Stroke Day 2022," WHO Sri Lanka, Oct. 29, 2022. [Online]. Available: https:// www.who.int/ srilanka/news/detail/29-10-2022-world-stroke-day-2022.
[2]	V. L. Feigin et al., "Global burden of stroke and risk factors in 204 countries and territories," Lancet Neurol., vol. 20, no. 10, pp. 795–820, 2021.
[3]	J. F. Meschia et al., "Guidelines for the primary prevention of stroke: A statement for healthcare professionals from the American Heart Association/American Stroke Association," Stroke, vol. 45, no. 12, pp. 3754–3832, 2014.
[4]	C. S. Weyland et al., "Occupational radiation exposure of neurointerventionalists during endovascular stroke treatment," Eur. J. Radiol., vol. 164, p. 110882, 2023.
[5]	W. G. Kunz et al., "Cost-Effectiveness of Endovascular Stroke Therapy: A Patient Subgroup Analysis From a US Healthcare Perspective," Stroke, vol. 47, no. 11, pp. 2797–2804, 2016.
[6]	J. D. Morrison et al., "Feasibility of robotic neuroendovascular surgery," Interv. Neuroradiol., vol. 30, no. 5, pp. 611–618, 2024.
[7]	D. L. Miller et al., "Occupational radiation protection in interventional radiology: A joint guideline of the Cardiovascular and Interventional Radiology Society of Europe and the Society of Interventional Radiology," J. Vasc. Interv. Radiol., vol. 21, no. 5, pp. 607–615, 2010.
[8]	K. H. Narsinh et al., "Robotics for neuroendovascular intervention: Background and primer," Neuroradiol. J., vol. 35, no. 1, pp. 25–35, 2022.
[9]	H.-J. Mijderwijk et al., "External validation of the ARISE prediction models for aneurysmal rebleeding after aneurysmal subarachnoid hemorrhage," Neurosurgery, vol. 97, no. 1, pp. 120–129, 2025.
[10]	H. M. Hollandsworth et al., "Multiquadrant surgery in the robotic era: A technical description and outcomes for da Vinci Xi robotic subtotal colectomy and total proctocolectomy," Surg. Endosc., vol. 34, pp. 5153–5159, 2020.
[11]	D. B. Mark and M. A. Hlatky, "Medical economics and the assessment of value in cardiovascular medicine: Part I," Circulation, vol. 106, no. 4, pp. 516–520, 2002.
[12]	NVivo, NVivo (Version 12) [Computer software], QSR International Pty Ltd., 2020. [Online]. Available: https://www.qsrinternational.com/nvivo-qualitative-data-analysis-software/home.
[13]	Corindus, a Siemens Healthineers Company, "CorPath GRX neurovascular system demonstrates safety and effectiveness in robotic-assisted aneurysm embolization," Endovascular Today, Sep. 12, 2022. [Online]. Available: https:// evtoday.com/ news/ corindus-corpath-grx-neurovascular-system-demonstrates-safety-and-effectiveness-in-robotic-assisted-aneurysm-embolization.
[14]	C. B. Beaman, N. Kaneko, P. M. Meyers, and S. Tateshima, "A Review of Robotic Interventional Neuroradiology," AJNR Am. J. Neuroradiol., vol. 42, no. 5, pp. 808–814, 2021.
[15]	G. Charbonnier et al., "Telestroke network to robotic telestroke network: How to upgrade regional stroke care to include remote robotics?," Digit. Health, vol. 10, 2024.