Building Scalable Systems for Modern Healthcare
Hemant Dhingra, MD
CEO & President
nCare Inc. and The Nephrology Group, Inc.
Building Scalable Systems for Modern Healthcare
Hemant Dhingra md
CEO & President
nCare Inc. and The Nephrology Group, Inc.
Kidney care may not always receive broad public attention, but it sits at the center of some of healthcare’s most demanding challenges. It requires long term disease management, strong clinical coordination, regulatory discipline, and financial sustainability, all working together. As CEO & President of nCare Inc. and The Nephrology Group, Hemant Dhingra, MD, has spent more than a decade building systems that support both quality care and sustainable growth.
Under his leadership, the organization has grown from a modest provider base into one of the largest nephrology networks in Central California, serving both urban and rural communities through an expanding physician network. His work now extends beyond practice growth into value-based care, transplant program development, and technology-enabled infrastructure designed to strengthen the operational side of care delivery. Earlier leadership roles across graduate medical education, hospital governance, and physician representation helped shape a leadership philosophy grounded in execution, accountability, and long-term thinking.
In this conversation, he shares his perspective on integrating technology into healthcare in ways that respect clinical judgment, improve operations, and support lasting transformation.
How do you integrate data-driven decisions into traditional clinical workflows?
The starting point is to build the clinical workflow into the technology, not force technology onto the workflow. In healthcare, that difference matters. If you do not understand how care is actually being delivered on the ground, even the best technology will struggle to help.
The first step is to understand the workflow in detail and identify where the gaps are. Where are delays happening? Where are handoffs being missed? Where is variation creating inefficiency or inconsistency? Once those gaps are clear, technology can be used in a practical and meaningful way.
That is where data becomes valuable. It helps you see patterns more clearly, measure what is working, and bring more consistency into the process. But in healthcare, data should strengthen care delivery, not get in the way of it. It should help teams make better decisions, coordinate more effectively, and reduce unnecessary friction. For organizations trying to adopt this approach, I would say start with the real workflow, focus on the highest impact gaps, and solve those first. When technology reflects the reality of patient care, adoption becomes much easier.
What leadership approach helps guide organisation-wide change while maintaining morale?
I believe in a hands-on approach. In healthcare, meaningful change cannot be led from a distance. You have to stay close to the work, understand the real problems, and speak directly with the people dealing with them every day.
That means engaging the key stakeholders, understanding what is working and what is not, and making sure the right people are involved in the decision-making process. People do not have to agree with every decision, but they do need to feel that their perspective is being heard and that leadership understands the operational reality.
At the same time, I do not think the goal is to keep everybody happy. That is not realistic in any serious period of change. My job is to keep people informed, involved, and aligned around the problem we are solving. Morale tends to stay stronger when leadership is visible, honest, and grounded in real progress.
What habits build resilient, motivated teams during long-term transformation?
Continuous engagement is very important. When organizations are going through change, people need clarity, honesty, and direction. If leadership is upfront about what is happening and why, teams are much more likely to stay committed through the process.
Recognition matters as well. People need to know that their work is seen and appreciated, especially during long periods of transformation. At the same time, accountability matters just as much. Teams need clear goals, and when those goals are not being met, leadership has to understand why.
Sometimes the issue is resources. Sometimes it is a process. Sometimes it is execution. You have to be willing to ask those questions honestly and address the answers directly. In my view, resilient teams are built through the right mix of engagement, accountability, and shared purpose. If you have the right people, clear goals, and steady communication, most important things can be accomplished over time.
How do you build clinician trust in new technology without compromising care quality?
Trust starts with clarity. Clinicians need to understand what you are trying to build, what problem it is solving, and why it matters. If that is not clear from the beginning, it is very difficult to build confidence in the solution.
In my experience, people are much more open to technology when they can see it is being introduced for the right reasons, whether that is improving patient care, reducing administrative burden, or helping the practice run better. If the economics also make sense for the practice, that helps people see it as a serious investment rather than just another experiment.
At the same time, trust is not built in one conversation. It requires continued engagement. Some people will understand the vision quickly, while others will have questions or concerns. That is normal. The key is to keep the dialogue open, keep explaining the purpose, and listen carefully along the way.
Most importantly, technology should support clinical judgment, not replace it. When clinicians feel that quality of care remains the priority, trust develops much more naturally.
How do you evaluate emerging technologies and ensure they are genuinely adopted rather than remaining experiments?
You have to be willing to experiment, and you also have to accept that not every tool will be the right fit. We have tried many things over the years, and we did not adopt all of them. That is part of the process.
The most important step is understanding your problem clearly before looking for a solution. You cannot ask a third party to solve a problem that you have not properly defined yourself. Leadership has to be disciplined enough to identify priorities clearly. What is the first problem? What is the second? What matters most operationally? Once that is clear, technology can be evaluated much more effectively.
The team also matters a great deal. You need the right people, the right knowledge base, and the right delegation. Technology gets adopted when the team owns it and it becomes part of the daily workflow. In the end, it is not about chasing trends. It is about choosing tools that solve real problems and can be sustained in practice.
