Continuous Monitoring of Patients Provides Versatile, Improved Care Case Studies
Discover how two healthcare organizations are using automated patient monitoring to positively impact patient care and outcomes.
Rapid Expansion of Video Visits during an International Pandemic Case Study
This HIMSS Davies Award case study focuses on one health system’s work to rapidly scale the video visits platform to all ambulatory practices and locations, and maintain patient satisfaction with telehealth visits.
Human-Machine Partnership: Data-Facilitated, Targeted CLABSI Reduction in the Face of a Global Pandemic
Davies Award of Excellence Case Study Program Year 2022 by Jefferson Health.
APAC Value-Based Care Government Roundtable Report Vol. Two
Now is the time: How the Asia-Pacific region is rising to the challenge of value-added care
Intermountain Healthcare: Infectious Diseases Telehealth and Tele-Antimicrobial Stewardship Program
A case study looking at Intermountain Healthcare's work with infection diseases and worldwide antibiotic use.
Heart, Vascular and Thoracic Institute Opioid Use Disorder Patient Tracking
Davies Award of Excellence Case Study for "Heart, Vascular and Thoracic Institute Opioid Use Disorder Patient Tracking" by Cleveland Clinic.
Digital Excellence in Healthcare: APAC Case Studies Volume Four
Healthcare providers across Asia-Pacific (APAC) have started reaping the benefits of their investments in digital health during the pandemic.
Improved outcomes by lung protective strategy in patients with acute respiratory distress syndrome
Review the Davies award-winning of an ARDS improvement project that led to an increase in the ARDS recognition rate from 52.2% to 74.4%.
AI-assisted STEMI triage system from ambulance to ER
Davies Award-winning case study in ST-segment elevation myocardial infarction (STEMI).
Development of A Comprehensive Intelligent Anti-Microbial System: An Epochal, Fast, and Digitally Precise Prediction of Therapeutic Antibiotics
Davies award-winning case study on a Comprehensive Intelligent Anti-Microbial System (iAMS).
Using AI and Collaborative Workflows to Predict and Prevent Clinical Deterioration
Stanford Medicine embarked on a mission to bridge the gap in utilizing machine-learning (ML) models for enhancing care delivery, focusing on three fundamental challenges within the health system.
Use of Machine Learning, EHR Design and Reporting to Increase Advance Care Planning Conversations for Patients with Serious Illness
AI is not the solution itself but a part of a broader system that aims to improve ACP documentation rates across the healthcare enterprise, leading to patient-centered care delivery improvements.