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With the widespread adoption of vendor-supplied electronic health record (EHR) systems, clinical decision support (CDS) customization efforts beyond those anticipated by the vendor may require the use of technologies external to the EHR such as web services. Pursuing such customizations, however, is not without risk. Validating the expected behavior of a customized CDS system in the high-volume, complex environment of the live EHR is a challenging problem.
This article was published in the following journal.
Name: Applied clinical informatics
Electronic health records are central to cancer care delivery. Electronic clinical decision support (CDS) systems can potentially improve cancer care quality and safety. However, little is known regar...
Many current Clinical Decision Support Systems which assist clinical diagnosis, are based on a causal condition-symptom relation. To reach more diagnostic precision Ada's Deep Reasoning is substitutin...
A learning health system provides opportunities to leverage data generated in the course of standard clinical care to improve clinical practice. One such opportunity includes a clinical decision suppo...
Determining the underlying etiology of dementia can be challenging. Computer-based clinical decision support systems (CDSS) have the potential to provide objective comparison of data and assist clinic...
The aim of this study was to perform a systematic review and meta-analysis of studies performed in primary care centers and hospital facilities that evaluated the effectiveness of computerized clinica...
The goal of the study is to determine whether clinical decision support (CDS) affects the number, type, or appropriateness of targeted high-cost radiology images (i.e. MR and CT) ordered. ...
Indirect evidence show alerting physicians with clinical decision support systems (CDSS) seem to change behaviour more than requiring users to actively initiate the system. However, random...
Rivers et al. laid the foundation for modern hemodynamic and fluid management by establishing goal directed therapy (GDT) for the treatment of sepsis using fluid and inotropic and vasoacti...
The purpose of this study is to analyze the effect of the Evidence-Based Medicine electronic Decision Support (EBMeDS) automatic reminders in primary health care. Hypothesis (1)is that in...
Emergency Departments (EDs) frequently care for individuals with Opioid Use Disorder (OUD). Buprenorphine (BUP) is an effective treatment option for patients with OUD that can safely be in...
Computer-based information systems used to integrate clinical and patient information and provide support for decision-making in patient care.
Computer-based systems that enable management to interrogate the computer on an ad hoc basis for various kinds of information in the organization, which predict the effect of potential decisions.
Information systems, usually computer-assisted, that enable providers to initiate medical procedures, prescribe medications, etc. These systems support medical decision-making and error-reduction during patient care.
Mathematical or statistical procedures used as aids in making a decision. They are frequently used in medical decision-making.
Mental fatigue experienced by health care providers who encounter numerous alerts and reminders from the use of CLINICAL DECISION SUPPORT SYSTEMS. As the numbers of alerts and reminders designed to provide meaningful assistance to the patient care process increases, many health personnel may ignore them.