Research at Gies

Gathering Knowledge, Powering Innovation

At Gies Business, we promise our students that an education is just the start – that here they can discover their purpose. Our faculty are at the center of that promise, guiding students to challenge assumptions, to be inventive, and to develop their own style. Our exceptional faculty conduct cutting-edge research that regularly impacts industry and helps business decisions get made.

Gies Business Research Lab

Business increasingly needs accurate, actionable research – and more and more, the research they need requires active interaction and engagement with human participants. The Gies Business Research Lab (GBRL) is dedicated to supporting Gies faculty in performing groundbreaking research on business decision-making with human subjects. The industry-leading, innovative research performed in this lab can address critical societal needs through the transfer and application of knowledge and can help organizations and individuals make effective, efficient decisions.

GBRL resources are available to all Gies researchers conducting human subjects research. GBRL focuses on responding to the emerging needs of Gies researchers. GBRL provides tangible support and structure to enhance excellence in data collection, analysis, and publication, including access to student and non-student research participants, dedicated research and participant management systems, study implementation support, and state-of-the-art lab space. GBRL is also home to our groundbreaking alumni research study participation program: the Gies Business Research Panel.

Data Science Research Service

The Data Science Research Service (DSRS) drives research within the Gies College of Business by assisting students, faculty, and staff with their data science, machine learning, computational infrastructure, and data acquisition needs. The DSRS works as a component of the Gies Disruption initiative in efforts to make Gies the most technologically-forward and data-capable business college in the world.

Illinois Strategic Organizations Initiative

The Illinois Strategic Organizations Initiative (ISOI) is developing the next generation of thought leadership in the design and management of organizations and their strategic agendas. We conduct, sponsor, and promote world-class interdisciplinary research and thought leadership on strategic organizations. Our collaborative efforts create the framework for building, fostering, and disseminating an innovative research agenda globally.

Research Stories

Hospital-level policies key to maximizing benefits, managing costs of robot-assisted surgery

Feb 12, 2020, 08:21 by Aaron Bennett
In the field of health care technology, surgical robots are known to deliver superior surgical quality, albeit at a much higher cost.

Hospital-level operational policies regarding the most effective way to deploy a surgical robot are necessary in order to maximize clinical outcomes and minimize the costs associated with its use, says a University of Illinois at Urbana-Champaign expert who studies innovation in health care.

In the field of health care technology, surgical robots are known to deliver superior surgical quality, albeit at a much higher cost. But questions remain about when and how often to employ them, making it imperative for hospitals to codify policies that leverage the quality benefits of robot-assisted surgery while simultaneously managing cost, said Ujjal Kumar Mukherjee, a professor of business administration at Gies College of Business.

Ujjal Mukherjee 13“Robot-assisted surgery is a major advancement in minimally invasive surgical care delivery that allows surgeons improved precision in surgical tasks, superior accessibility, enhanced dexterity of surgical tool movement, auto-dampening of hand tremors and three-dimensional vision of the surgical field,” he said. “But if you set aside the clinical outcome benefits – such as reduced blood loss and surgical duration, and shorter length-of-stay at a hospital – the cost of performing robot-assisted surgery is significantly higher than regular surgery due to the investments needed for robot acquisition, maintenance and procurement of surgical accessories.”

And not all patients benefit equally from robot-assisted surgeries compared with the traditional alternative of manual laparoscopic surgeries. Similarly, significant variation in benefits of surgical robots exist across different surgical procedures.

“All of those factors combined argue in favor of adopting a policy framework that can lead to significantly better patient outcomes,” Mukherjee said.

In a new study, Mukherjee and co-author Kingshuk K. Sinha of the University of Minnesota compared clinical outcome data from a large multi-specialty hospital for a surgical procedure – in this case, hysterectomies – performed with a surgical robot versus performed via manual laparoscopy.

The researchers also spent significant time at a partner hospital observing robotic-surgical procedures, especially those specifically related to OB-GYN procedures. “We also analyzed the operational policies that have the potential to be implementable at hospitals to realize clinical outcome benefits while also controlling the cost of health care delivery enabled by advanced technologies,” Mukherjee said.

The in-depth field study combined with empirical data analysis and simulation modeling led the researchers to conclude that the quality benefits of robotic surgeries accrue much more for patients who have critical levels of disease severity, leading them to recommend that robot-assisted surgeries be preferentially assigned to high-severity patients and manual laparoscopic surgeries assigned to low-severity patients.

The researchers also recommended limiting the size of the robot-trained surgeon pool to allow them to gain experience and learn better surgical techniques, and adopting a minimum experience threshold for surgeons in the pool.

“Our results demonstrate that that these policies can lead to significantly better quality and lower cost of complex surgeries, and help expand surgical delivery capacity to a much wider population,” Mukherjee said.

Allowing a focused group of interested surgeons to consistently perform surgeries on the robot expedites surgeon learning, Mukherjee said.

“Surgeons learn from cumulative experience on the surgical robot, and surgeons learn faster when they perform surgeries on patients with high severity of disease condition,” he said. “A surprising number of hospitals with a surgical robot allow a large pool of surgeons to use the robot, which creates a lack of focus in the surgical team and therefore higher surgical duration and cost, along with lower surgical quality. Hospital management needs to active engage in surgical teams’ training and skill development through learning-by-doing.”

For health care administrators, the findings speak to the growing need for top-down hospital-level operational policies governing advanced technologies and their adoption in health care settings, Mukherjee said.

“Hospitals play a proactive role in setting policy guidelines to improve the clinical outcome benefits and affordability of robot-assisted surgery,” he said. “Those policies have the potential to inform effective hospital-level implementation of U.S. federal government initiatives such as the Patient Protection and Affordable Care Act and the Hospital Value-Based Purchasing Program.”

The paper was published in the Journal of Operations Management.

The paper “Robot-assisted surgical care delivery at a hospital: Policies for maximizing clinical outcome benefits and minimizing costs” is available online
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