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Related Concept Videos

Patient-centered Care01:13

Patient-centered Care

Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
Tracheostomy Suctioning I: Pre-Procedural Steps01:26

Tracheostomy Suctioning I: Pre-Procedural Steps

Tracheostomy suctioning is a critical procedure healthcare professionals perform to maintain a patent airway in patients with a tracheostomy tube. This procedure is necessary when secretions accumulate in the airway, causing respiratory distress. Here is a step-wise procedural guide for performing tracheostomy suctioning using an open system.
Equipment Required
First, gather all necessary equipment: a sterile suction catheter, a sterile disposable container, sterile gloves, a towel or...
Nursing Process for Patient and Caregiver Teaching II: Planning and Implementation01:24

Nursing Process for Patient and Caregiver Teaching II: Planning and Implementation

Planning for learning involves the development of a teaching plan. Teaching plans are similar to nursing care plans—both follow the steps of the nursing process. Planning in the teaching process involves setting goals and outcomes. Here, goals identify what a patient needs to achieve to understand a healthcare topic better, whereas the outcomes are the action to be performed by the patient to achieve the goal within a timeframe. For example, if the goal is to educate the patient about insulin...
Tracheostomy Care I: Pre-procedural Steps01:16

Tracheostomy Care I: Pre-procedural Steps

A tracheostomy is a surgical technique that involves making an incision in the neck to provide access to the trachea. It is frequently used in medical conditions such as airway obstruction and prolonged mechanical ventilation. Effective nursing management is crucial for the long-term success of a tracheostomy.
Required Equipment
The equipment necessary for tracheostomy care includes:

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Related Experiment Video

Updated: Jul 6, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

Conversational artificial intelligence for pre-procedural patient preparation: implementation, validation and patient

Annapoorna Kini1, Andriy Vengrenyuk2, Derek Pineda Np2

  • 1Mount Sinai Health System, New York, NY, USA. annapoorna.kini@mountsinai.org.

NPJ Digital Medicine
|July 4, 2026
PubMed
Summary

An AI voice assistant, Sofiya, successfully managed pre-procedure calls for cardiac catheterization patients. This AI tool improved efficiency and allowed nurses to focus on critical patient care tasks.

Related Experiment Videos

Last Updated: Jul 6, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Patient Care Technology

Background:

  • Pre-procedural patient preparation for cardiac catheterization involves repetitive tasks.
  • Efficient patient preparation is crucial for successful cardiac catheterization procedures.

Purpose of the Study:

  • To evaluate the effectiveness of an AI voice assistant, Sofiya, in managing pre-procedural calls for cardiac catheterization.
  • To assess the impact of AI on nurse workload and patient preparation efficiency.

Main Methods:

  • A prospective evaluation of Sofiya, an AI voice assistant utilizing a customized Large Language Model, was conducted.
  • The study involved a 90-day stabilization period (Phase I) and a 90-day real-world application (Phase II).
  • Sofiya provided instructions, collected clinical data, and answered patient questions during pre-procedural calls.

Main Results:

  • A total of 1606 calls were made to 1431 patients between January 16, 2025, and July 17, 2025.
  • The call completion rate improved from an average of 86.4% in Phase I to 87.9% in Phase II.
  • AI system errors decreased from 6.0% in Phase I to 2.6% in Phase II.

Conclusions:

  • A voice-based AI assistant can effectively augment routine pre-procedural patient preparation tasks.
  • The implementation of Sofiya allowed nurses to dedicate more time to the clinical aspects of patient care.
  • AI-powered voice assistants show promise in improving efficiency and patient management in healthcare settings.