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.
Transforming the ED Fast Track to a Virtual Visit Track to Reduce Emergency Department Length of Stay
In response to longer wait times and overcrowding in the Emergency Department (ED), Stanford Medicine introduced a Virtual Visit Track (VVT) program in 2020, which was accelerated by the COVID-19 pandemic.
Amp It Up
The St. Luke's team overcame supply shortages and other obstacles, achieving an average turnaround time of 4.7 hours for COVID-19 testing in their new in-house molecular laboratory.
Antimicrobial Stewardship: Longitudinal Outcomes of Performance Improvement
The implementation of the AMS program required a comprehensive approach, involving community support and education.
Advanced Care Planning in Nephrology Patients
St. Luke's University Health Network highlights the challenges faced by patients with end stage kidney disease and chronic kidney disease
Successful Medication Reconciliation in an Acute Care Setting
Mackenzie Health's 2017 implementation of an electronic medical record (EMR) aimed to enhance medication reconciliation by aligning workflows, leading to substantial compliance growth.
Preventing Hospitalization Through a No-Frills Remote Monitoring Program
Using basic home monitoring devices and virtual visits, Mackenzie Health treated moderately at-risk COVID-19 patients with automated triage algorithms, reducing hospitalizations.
Mackenzie Health’s Successful COVID-19 Response
Review a strategic response to the pandemic, marked by collaboration, clinical excellence, and advanced digital health tools, which led to the conversion of their new hospital site into a COVID-19 relief facility.
Multimodal Pain Management: A Successful Approach to System Initiatives by Targeting Different Aspects of Opioid Reduction
Intermountain Health enacted opioid stewardship measures in 2018, focusing on reducing opioid prescriptions, educating caregivers, standardizing pain management techniques, and utilizing data-driven tools for sustained practice changes.
Use of AI-enhanced data analysis to identify persons at risk of chronic kidney disease, assist in delivery of kidney-protective therapeutics and reduce hospitalizations
Intermountain Health Kidney Services (IKS) is a collaborative effort between Intermountain Health and MDClone to improve care for individuals with chronic kidney disease (CKD).