Opportunities for genomic clinical decision support interventions

A clinical decision support system for contact lens evaluation

Background: Contact lenses are transparent, thin plastic disks that cover the surface of the cornea. Appropriate lens prescription should be performed properly by an expert to provide better visual acuity and reduce side effects. The lens administration is a multi-stage, complex and time-consuming process involving many considerations. The purpose of this study was to develop a decision support...

Implementing Genomic Clinical Decision Support for Drug‐Based Precision Medicine

The explosive growth of patient-specific genomic information relevant to drug therapy will continue to be a defining characteristic of biomedical research. To implement drug-based personalized medicine (PM) for patients, clinicians need actionable information incorporated into electronic health records (EHRs). New clinical decision support (CDS) methods and informatics infrastructure are requir...

Opportunities and obstacles using a clinical decision support system for maternal care in Burkina Faso

OBJECTIVE Maternal and neonatal mortality is high in sub-Saharan Africa. To support Healthcare Workers (HCWs), a computerized decision support system (CDSS) was piloted at six rural maternal care units in Burkina Faso. During the two years of the study period, it was apparent from reports that the CDSS was not used regularly in clinical practice. This study aimed to explore the reasons why HCWs...

Editorial Comments: Using Commercial Knowledge Bases for Clinical Decision Support: Opportunities, Hurdles, and Recommendations

The quality and safety of health care leaves much to be desired. Automated clinical decision support (CDS) tools embedded in clinical information systems (CISs) such as computer provider order entry (CPOE) and electronic health records (EHR) applications have the potential to improve care and should be part of any comprehensive approach to improve quality. Medication prescribing is a component ...

Neural networks for decision support: : Problems and opportunities