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Related Concept Videos

Acute Coronary Syndrome V: Nursing Management01:26

Acute Coronary Syndrome V: Nursing Management

Nursing Assessment:Nursing management of acute coronary syndrome (ACS) involves taking the patient's history, focusing on primary complaints such as chest pain, dyspnea, and excessive sweating (diaphoresis), as well as other symptoms like back or jaw pain, nausea, vomiting, palpitations, dizziness, and fatigue. The nurse also reviews the patient's history of cardiac events, risk factors such as hypertension, diabetes, smoking, family history, and current medications.In the objective assessment,...
Acute Coronary Syndrome IV: Interprofessional Care01:28

Acute Coronary Syndrome IV: Interprofessional Care

IntroductionThe management of Acute Coronary Syndrome (ACS) aims to minimize myocardial damage, preserve myocardial function, and prevent complications.Initial ManagementInpatient management involves continuous cardiac monitoring, preferably in an ICU, focusing on blood pressure, serum sodium, potassium, and creatinine levels, and urine output. Ongoing pharmacologic management is crucial for stabilizing the patient.Supplemental Oxygen: Administer supplemental oxygen if oxygen saturation is...
Introduction Cardiac Emergencies01:30

Introduction Cardiac Emergencies

Cardiac emergencies are critical situations involving the heart that require immediate medical intervention to prevent severe complications or death. These emergencies often arise from underlying heart conditions that impair the heart's ability to function correctly.Types of Cardiac EmergenciesThe most common types of cardiac emergencies include Acute Coronary Syndrome (ACS), myocardial infarction (MI), cardiac arrest, and heart failure.Acute Coronary Syndrome (ACS)Acute Coronary Syndrome (ACS)...
Angina V: Nursing Management01:20

Angina V: Nursing Management

Angina, a symptom of myocardial ischemia, requires a structured nursing management approach to ensure effective care and prevent complications like myocardial infarction. Comprehensive nursing care involves assessing, diagnosing, planning, implementing interventions, and evaluating outcomes, all tailored to the individual patient's needs.Patient AssessmentNursing assessment begins with a detailed subjective evaluation of symptoms, which typically include chest pain or pressure radiating to the...
Tertiary Healthcare System01:21

Tertiary Healthcare System

Specialized care provided over an extended period is called tertiary care. Usually, a primary or secondary care physician will refer a patient to tertiary care. A patient's maximum physical and mental function is restored in tertiary care, which is caused due to the impact of a chronic illness or condition. Tertiary care aims to achieve the highest level of functioning possible while managing chronic illness. For example, a patient who falls and fractures their hip will need secondary care to...
Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:

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Related Experiment Video

Updated: Jul 16, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

"Check Symptoms & Get Care": Mount Sinai's AI Triage Solution.

Bilal A Naved1,2,3, Minh Tran4, Quintan M Slott5

  • 1Eric and Wendy Schmidt AI in Human Health Fellow, Weindrich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

NEJM Catalyst Innovations in Care Delivery
|July 15, 2026
PubMed
Summary

Mount Sinai Health System improved patient access by implementing an AI-driven digital self-triage tool. This solution enhanced care navigation, reduced unnecessary visits, and showed high user satisfaction and clinical accuracy.

Related Experiment Videos

Last Updated: Jul 16, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

Area of Science:

  • Digital Health
  • Artificial Intelligence in Healthcare
  • Patient Access and Navigation

Background:

  • Academic medical centers face challenges in patient access, leading to delayed care and resource inefficiencies.
  • Individuals with new symptoms often lack clear guidance on appropriate care pathways.

Purpose of the Study:

  • To evaluate the implementation and impact of an AI-driven digital self-triage solution at Mount Sinai Health System (MSHS).
  • To improve patient care navigation and optimize resource utilization within a large healthcare system.

Main Methods:

  • MSHS deployed Clearstep, an AI platform combining natural language processing and a clinical expert system, branded 'Check Symptoms & Get Care'.
  • The solution was integrated into the MSHS website and MyMountSinai mobile app.
  • Data from over 60,000 visits were analyzed, focusing on completion rates, user satisfaction, utilization patterns, and clinical concordance.

Main Results:

  • Approximately 22,000 patients completed digital triage sessions with high satisfaction (System Usability Scale score of 85.5).
  • The tool demonstrated broad after-hours utilization (71%) and achieved 88%-96% concordance with physician triage.
  • Zero safety incidents were reported during the study period.

Conclusions:

  • AI-driven digital self-triage is a scalable and effective solution for improving patient access and care navigation.
  • The implemented system demonstrated high user satisfaction, clinical accuracy, and safe operation.
  • The model provides a roadmap for other organizations to adapt digital triage strategies.