Background Digital health in hospital settings is viewed as a panacea for achieving the
“quadruple aim” of health care, yet the outcomes have been largely inconclusive. To …

Interruptive clinical decision support systems, both within and outside of electronic health
records, are a resource that should be used sparingly and monitored closely. Excessive use …

The development and implementation of clinical decision support (CDS) that trains itself and
adapts its algorithms based on new data—here referred to as Adaptive CDS—present …

Background Various studies propose the significance of digital maturity in ensuring effective
patient care and enabling improved health outcomes, a successful digital transformation …

Objective Artificial intelligence (AI) and machine learning (ML) enabled healthcare is now
feasible for many health systems, yet little is known about effective strategies of system …

Objective A literature review of capability maturity models (MMs) to inform the
conceptualization, development, implementation, evaluation, and mainstreaming of MMs in …

Abstract Objectives In 2019, the German government established the Hospital Future Fund,
allocating 4.3 billion Euros, to support investments in the digital infrastructure of hospitals …

Background Partnerships among patients, families, caregivers, and clinicians are critical to
helping patients lead their best lives given their specific genetics, conditions, circumstances …

Limited research has focused on understanding if and how evidence of health information
technology (HIT) effectiveness drives the selection and implementation of technologies in …

Objectives To improve clinical decision support (CDS) by allowing users to provide real-time
feedback when they interact with CDS tools and by creating processes for responding to and …