Dr. Geoffrey Silvera, PHD MHA, Associate Professor of Health Services Administration at the University of Alabama at Birmingham and Associate Editor of the Patient Experience Journal, recently wrote about something the healthcare industry tends to overlook amid rapid transformation.
Drawing on Baymax, the healthcare companion robot from the animation Big Hero 6, he asks a question. “In the rush of adopting AI and digital transformation to maximize efficiency, wouldn’t hospitals forget about their core value, patients?”
His answer is simple yet direct.
“We’ve optimized for everything except responsiveness.”
Baymax’s care doesn’t end when the visit is over, when the chart is closed, or when the protocol is complete. It ends only when the patient says so. Because Baymax has one rule.
"I cannot deactivate until you are satisfied with your care."
What shapes responsiveness?
There are various factors affecting responsiveness.
- Work inefficiency
- Regulatory burden
- Documentation overload
- System friction
- And staffing
Among these, what would patients feel most directly? Setting aside internal operational factors, what patients interact with most directly is the care delivery team in front of them. So when clinical staff is stretched thin, the commitment to listen, the commitment to respond, and the commitment to stay all diminish.
While responsiveness is influenced by multiple factors, staffing remains one of the most immediate constraints shaping real-time patient interaction.
Why is understaffing in a hospital unacceptable? In most industries, a vacancy is a gap in output. However, in a hospital, a vacancy is a gap in care. Staffing is directly and continuously woven into every patient interaction. Understaffing is a crisis that can lead to patients not receiving what they need, and it directly and promptly affects patients’ physical and emotional conditions.
A staffing gap in a hospital is not inconvenient. Someone always has to pay.
What hospitals did, and what they didn’t
Understaffing has three primary causes:
- Insufficient supply
- Poor retention
- And the inability to hire faster
When positions go unfilled, existing staff absorb the load through overtime. Morale drops as temp staff are brought in at scale. Burnout increases. Retention falls. The cycle tightens, and at the end, care quality declines.
Hospitals responded by investing heavily in sourcing pipeline and hiring infrastructure, and they worked. The sourcing funnel widened, screening sped up, automated credentialing, and cleaner pipelines. AI and improved software have made the front end of hospital hiring more efficient than ever before.
Yet the question remains.
Did any of the software change the behavior of the people who actually make hiring decisions?
Are clinical hiring managers responding to their candidates immediately when TA teams reach out? Are the decision-makers in the hiring process, the ones in clinical roles, not at desks, acting quickly when a candidate is waiting? Is the hiring system (ATS) itself a source of friction that keeps slowing down the handoff between recruiters and the people accountable for moving the hiring pipeline forward?
The delay in hospital hiring is not simply a process issue. It’s a responsiveness problem.
As Dr. Silvera observed regarding patient care, the system was developed while omitting something essential.
Most hiring software was built for TA teams and recruiters because that is their core function. But the people who actually make decisions and move the pipeline forward are clinical leaders on the floor. The system can optimize each step in isolation. What it cannot do is connect them.
Staffing stability directly affects continuity and responsiveness at the point of care. Which means hiring speed isn't just an HR metric. It's a patient care variable.
What is now missing is not another optimization layer. It is a system that connects fragmented decision points in real time.
What hospital hiring requires:
- Decision-maker centric
- Friction removed
- Real-time responsiveness
A system that connects decision points, rather than optimizing each point in the hiring flow.
In that context, Boundee is an accountability engine that connects the dots that existing software has improved, and changes the behavior of the decision-makers who determine hiring speed.
What comes next
Hospitals have adopted enough software. What they need now is a system.
As Dr. Silvera described for patient-centered care, the same principles apply to the hiring system that supports it:
- Listen first
- Adapt continuously
- Center the decision maker at every step
Improving hiring decision-making speed does more than just fill roles faster. It reduces burnout among existing clinical staff, supports retention, and ultimately creates the conditions for hospitals to focus on what they exist for: delivering care.
And by doing so, it contributes to a care system that co-evolves with the patient it serves.
Not as a downstream effect.
As a foundational one.
Sources
- Silvera G. "Lessons from Baymax: Revolutionizing Patient-Centered Care." Geoffrey Silvera, PhD MHA. March 27, 2026. https://geoffreysilvera.com/2026/03/27/lessons-from-baymax-revolutionizing-patient-centered-care/