Cleveland Clinic's chief digital officer on ambient scribes, sepsis prediction, and what comes next

Rohit Chandra, PhD, calls ambient documentation the breakout health-care AI product of the past year, freeing physicians from the 1 to 3 hours a day they spend writing notes.

By
Lisa Astor
September 17, 2026
7 min

MDSpire News

At a Glance

Category	Detail
Condition	Artificial Intelligence in Healthcare
Key Mechanisms	Integration of AI for clinical prediction, documentation, and operational efficiency.
Target Population	Healthcare professionals and patients requiring improved care access.
Care Setting	Healthcare systems and clinical environments.

Key Highlights

AI has potential to transform healthcare by improving access and reducing costs.
AI is used for predicting sepsis and automating clinical documentation.
Collaboration between technologists and clinicians is essential for AI development.
AI scribes can significantly reduce documentation time for physicians.
Long-term goal is to create clinically safe AI to assist in care delivery.

Guideline-Based Recommendations

Diagnosis

Utilize AI tools for early prediction of conditions like sepsis.

Management

Implement AI solutions to streamline clinical documentation and coding processes.

Monitoring & Follow-up

Continuously assess the effectiveness of AI applications in clinical settings.

Risks

Ensure AI systems are clinically sound and safe before widespread implementation.

Patient & Prescribing Data

Patients in need of timely and efficient healthcare services.

AI can enhance patient care by allowing physicians to focus more on direct patient interactions.

Clinical Best Practices

Foster collaboration between AI experts and healthcare providers.
Prioritize the development of AI that enhances clinical outcomes.
Regularly evaluate AI tools for their impact on patient care and operational efficiency.