By Mariam Krikorian Atkinson, PhD

At its core, team science is the idea that solving complex healthcare problems involves more than just individual expertise. It requires coordinated effort across disciplines, roles, and perspectives.

Rather than clinicians and staff working in silos, team science brings them together around a shared goal: translating evidence into practice quickly and effectively.

In healthcare, this can look very different depending on the setting– ranging from high-intensity trauma teams making split-second decisions, to primary care practices building coordination across providers, to system-wide collaborations that link research, policy, and operations. The commonality across these examples is the recognition that innovation and problem-solving happens faster, more reliably, and more sustainably when teams pool their knowledge and work together effectively.

What makes a good team?

A 2024 systematic review of more than 50 studies found four team dynamics that really make the difference when it comes to putting clinical innovations into practice (McGuier et al 2024).

First is adaptive team functioning. This includes intentional practices for maintaining a positive team climate, developing a shared sense of purpose, and being able to adjust quickly when challenges come up.

Second is role clarity. When it’s not clear who is responsible for what, patient care can slip and staff morale can suffer (Atkinson & Saghafian 2023). In fact, something as simple as knowing who should see a patient turns out to be a cornerstone of effective teamwork. Clear roles free people up to focus less on “who’s doing what” and more on collaborating, problem-solving, and achieving the best outcomes.

Third is trust. Teams do their best work when members can rely on each other, not only to follow through on their responsibilities, but also to celebrate each other’s successes and treat mistakes as opportunities to learn. (This is where concepts like psychological safety come in; more on this in a future post.)

Finally, open and consistent communication is what keeps everyone aligned and moving forward together. On the flip side, instability in staffing, negative team dynamics, and poorly defined roles are the kinds of barriers that can quickly derail even the best intentions.

Good Teams “Fit” in their Organization

Of course, these dynamics don’t exist in a vacuum– they come to life in the day-to-day work of clinics and hospitals. In primary care, for instance, putting team science into action means embedding these principles into everyday workflows: providing clinicians with the time and infrastructure to establish shared goals, engage in mutual feedback, reflect on data, and refine interventions.

A qualitative study in a university-based general practice found that factors such as knowledge about policies, software literacy, levels of staff understanding, and the degree of institutional support were critical in determining whether a clinic could function effectively as a “learning health system,” one capable of continuously using data and team input to improve care (Fisher et al 2024).

By embedding team science principles into daily operations, hospitals and health systems can move beyond “evidence-informed” interventions toward care models that are fully operationalized across the system.

What does that look like in practice?

Research points to several concrete strategies: structured role assignment systems that clarify “who does what” and reduce errors in patient-provider matching (Atkinson & Saghafian 2023); regular team huddles and debriefings that create space for adaptive problem-solving and shared learning (McGuier et al 2024); and protected time for training and reflection so staff can build trust, practice feedback, and align around shared goals (Fisher et al 2024).

For healthcare executives, these practices are less about adding meetings and more about creating the conditions for reliable execution. When teams have clear roles, shared objectives, and consistent communication channels, organizations are better positioned to perform at their best. Note that team science becomes especially important during periods of change, whether introducing new technologies, redesigning workflows, or scaling QI efforts across multiple sites.

At the organizational level, hospitals can strengthen alignment by investing in data dashboards and real-time feedback loops that let frontline teams see the impact of their work while guiding leadership decisions (Brooks et al 2024). Equally important is ensuring that performance data is discussed collaboratively, giving teams the opportunity to identify barriers, share lessons learned, and adapt interventions before problems become entrenched.

When health systems invest in these kinds of deliberate coordination efforts, innovation doesn’t just get adopted faster, it translates and eventually scales into better outcomes for all.

Bottom Line

Healthcare breakthroughs rarely fail because the evidence is weak; they fail because implementation is hard. The ability to translate knowledge into consistent practice depends on how effectively people work together across roles, departments, and disciplines.

Team science offers a practical framework for closing that gap. By intentionally designing for communication, trust, role clarity, and continuous learning, healthcare organizations can improve not only how quickly innovations are adopted, but also how reliably they deliver value to patients and staff over time.

For organizations working to strengthen implementation, quality improvement, or cross-functional collaboration, an outside perspective can often help identify barriers and build the structures that enable teams to perform at their best. If you’d like support in your efforts to bring out the best in your organization’s teams, reach out to me at mka@atkinson.cloud.

References

Atkinson, Mariam K., and Soroush Saghafian. “Who should see the patient? On deviations from preferred patient-provider assignments in hospitals.” Health Care Management Science 26.2 (2023): 165-199.

Brooks, Stephanie P., et al. “Partnership-building considerations for implementation science in learning health systems: a case study of the Implementation Science Collaborative in Alberta, Canada.” Frontiers in Health Services 4 (2024): 1327395.

Fisher, Georgia, et al. “Barriers and facilitators to learning health systems in primary care: a framework analysis.” BMJ Health & Care Informatics 31.1 (2024): e100946.

McGuier, Elizabeth A., et al. “Teamwork and implementation of innovations in healthcare and human service settings: a systematic review.” Implementation Science 19.1 (2024): 49.

Tandan, Meera, et al. “Teamwork and its impact on chronic disease clinical outcomes in primary care: a systematic review and meta-analysis.” Public Health 229 (2024): 88-115.