How AI Improves Healthcare Collaboration and Productivity in a Hybrid Work Environment

AI Generates Case Notes for Physicians

Duke Health chief health information officer Dr. Eric Poon says he uses AI-driven technology that listens to conversations between doctors and patients for remote care purposes.

“As a primary care doctor, I use it for video visits to capture the back-and-forth with the patient and generate a draft note for me,” he says. “This saves a lot of time and allows me to focus more on interacting with the patient on the screen.”

He says a primary goal is to ensure the AI platforms used in clinical care are safe, effective and fair, noting there are 85 AI algorithms at various stages of deployment at Duke, many of them serving to streamline communication between physicians and administration for both in-person care and virtual care.

“There’s AI that helps us draft messages so my staff can respond quickly, and AI that classifies incoming messages as either urgent or nonurgent, so care teams can respond to urgent messages first,” Poon adds.

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Changing Patient Experiences With AI Sentiment Detection

Jeff Aaron, vice president of networking product and solution marketing at Hewlett Packard Enterprise, says it’s often easy to hear when a patient is upset but hard to act on it fast enough.

“AI sentiment detection can spot that frustration in real time and alert a team lead or trigger the workflow to reduce the escalation,” he explains.

That means patients feel listened to, and care teams spend less time dealing with avoidable problems.

“When every consult counts, it helps to have AI quietly managing the details,” Aaron says.

The company’s Mist AI platform uses AI-native automation to ensure telehealth sessions are uninterrupted, while Marvis AI continuously monitors network performance and user experience, resolving issues such as jitter, latency and dropped calls in real time.

Additional capabilities, including real-time transcription and summarization, ensure that key decisions, follow-ups and medication updates make it into the record automatically. For instance, both a nurse joining from home or a doctor connecting from the clinic experience clear, consistent communication, and the patient gets uninterrupted care.

From there, integrating AI with existing EHR and communication systems keeps everything connected and compliant.

Tips for AI Success in the Clinical Workflow

Zoom Workplace for Clinicians is designed to help providers reduce the documentation burden and improve how vital information flows across various systems, settings and people.

AI-generated clinical notes assist with transcription and elevate the quality of medical notes output to help staff save time and focus more on patients instead of paperwork.

Ritu Mukherjee, vice president of product management at Zoom, says the tools are designed to work in the background.

“By minimizing miscommunication and reducing administrative burden, AI helps care teams work more efficiently and cohesively, ultimately supporting faster and more coordinated patient care in virtual settings,” he says.

Aaron notes that responsible AI governance is equally critical, with clear guardrails for data privacy, algorithmic transparency and human oversight.

“Training is key too,” he says. “When clinicians understand how AI helps them work faster and more safely, adoption grows naturally.”

Poon underlines the importance of having a thorough testing approach, not just with technical staff but in conjunction with frontline workers.

“That way, they can understand whether the technology is yielding the intended outcomes and benefits,” he says.

Over time, leaders can measure real improvements: shorter handoffs, faster responses and higher patient satisfaction.

“When done right, AI simply helps people work better together,” Aaron says. “The best results come when AI feels like part of the workflow, not another tool to learn.”