The digitalization of the health-care system has resulted in a deluge of clinical big data and
has prompted the rapid growth of data science in medicine. Data science, which is the field …

Background The opportunity to improve care by delivering decision support to clinicians at
the point of care represents one of the main incentives for implementing sophisticated …

This article is published as part of a supplement sponsored by Kidney Disease: Improving
Global Outcomes (KDIGO). The opinions or views expressed in this supplement are those of …

We identify and describe nine key, short-term, challenges to help healthcare organizations,
health information technology developers, researchers, policymakers, and funders focus …

Abstract Background Clinical Decision Support Systems (CDSSs) for Prescribing are one of
the innovations designed to improve physician practice performance and patient outcomes …

Prescribing of potentially inappropriate medications (PIMs) that pose more risk than benefit
in older patients is a common occurrence across all healthcare settings. Reducing such …

Introduction Adjusting doses of renally cleared medications and/or avoidance of nephrotoxic
medications are standard clinical practices in chronic kidney disease (CKD), albeit the …

Objectives Electronic health record-based clinical decision support (CDS) has the potential
to improve health outcomes. This systematic review investigates the design, effectiveness …

Precision Medicine involves the delivery of a targeted, personalized treatment for a given
patient. By harnessing the power of electronic health records (EHRs), we are increasingly …

Background Acute kidney injury (AKI) is assoicated with high mortality and measures to
improve risk stratification and early identification have been urgently called for. This study …