Leveraging Standardized Order Sets to Improve Patient Outcomes in Anticoagulation Therapy Case Study
This HIMSS Davies Award case study focuses on one health system’s work to perform an in-depth analysis of current the Greater Baltimore Medical Center (GBMC) order set related to heparin drip for efficacy 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.
How One of the Nation’s Largest Hospitals Integrated Prescription Monitoring and Advanced Analytics to Address the Opioid Epidemic and Potentially Save Lives
Yale New Haven Case Study explains the successful integration of a state-of-the-art opioid stewardship solution - which includes the nation’s leading substance use disorder (SUD) solution, advanced analytics, and patient-matching technology.
Creation of a Novel Pediatric Palliative Care Navigator to Improve End-of-Life Care for Children with Serious Illness
An interdisciplinary group of three nurses and two physicians with quality and information technology experience developed the first comprehensive and interdisciplinary pediatric palliative navigator to help tailor pediatric needs, drive development of benchmarks in our field, and ensure gold sta...
Recognizing Pediatric Elevated Blood Pressure using an EPIC Best Practice Alert
Texas Children’s Pediatrics (TCP), the largest primary care pediatric group practice in the USA, formulated a multipart intervention to improve hiBP recognition in January 2019.
Implementation of Real-time COVID-19 Vaccines Tracking with Integrated Medication Management Technology
This HIMSS Davies Award case study explores Texas Children’s COVID vaccine process and workflows.
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