Clinical decision support (CDS) systems were developed to support safe medication ordering, alerting prescribers to potential unsafe interactions such as drug-drug, drug-allergy, and dosing errors. This study uses a sociotechnical framework to understand the relationship between primary care prescribers’ safety work and CDS. Prescribers described the usefulness of CDS but also noted alert fatigue.

Electronic prescribing (e-prescribing) is an established medication error reduction mechanism. This review analyzed experiences in the United Kingdom to understand strengths and weaknesses in e-prescribing. The work concluded that e-prescribing did improve safety in the UK and that the implementation and use of the system was a complex endeavor. The effort produced an accompanying toolkit to assist organizations in e-prescribing system decision making.

Critical thinking skills can enhance diagnostic reasoning. This article discusses how deliberate reflection can improve diagnosis and how deliberate reflection can be integrated into digital decision support tools.

Clinical decision support systems can alert prescribers to potential interactions between the drug being ordered and other drugs or drug allergies. Earlier studies have shown high rates of overrides of drug allergy alerts. This study analyzed allergic adverse drug events that occurred because of overridden drug allergy alerts (ODAA). Less than 10% of ODAA were inappropriate and resulted in only mild adverse events.

Enhancing clinical reasoning skills is an emerging strategy to reduce diagnostic errors. This meta-analysis of 26 studies estimated that cognitive reasoning tools can lead to small improvements in diagnostic accuracy.

Early recognition of clinical deterioration in patients is often difficult to detect and often results in poor patient outcomes. This scoping review focused on the delivery and response to deterioration alerts and their impact on patient outcomes. Only four out of 18 studies included in the review reported statistically significant improvements in at least two patient outcomes, Authors suggest that workflow and integration of the early warning system model’s features into the decision-making process may be helpful.

Computerized provider order entry has become standard practice for most medication ordering. This article reports on the safety and efficiency of ordering mixed-drug infusions before and after implementation of electronic prescribing. After implementation, rates of prescription errors, time to process discharge orders, and time between prescription and administration all decreased.

Clinical decision support systems (CDSS) can help identify potential drug-drug interactions (DDI), but they can lead to alert fatigue and threaten patient safety. Based on an analysis of DDI alerts and survey data regarding physician experience using the DDI module in the CDSS, researchers identified barriers (i.e., lack of patient-specific characteristics and DDI-specific screening intervals) that contribute to false-positive alerts and alert fatigue.

Safe and accurate telephone triage is of critical importance, particularly during the COVID-19 pandemic. This Swedish study evaluated district nurses’ experiences and perceptions of patient safety at a national nurse advice triage call center. Interviews with nurses resulted in an overall theme of “being able to make the right decision” based on the categories of “communication” and “assessment.”

Anticoagulants, such as low-molecular-weight heparin (LMWH), are known to be high-risk for adverse drug events. This cross-sectional study identified prescribing errors – primarily lack of dosage adjustment for body weight and/or renal function – among one-third of LMWH users admitted to one hospital over a five-month period.

Pediatric patients are at risk for medication prescribing errors due to weight-based dosing. This review analyzed 70 interventions aimed at reducing weight-based prescribing errors. Findings indicate that bundled interventions are most effective, and that interventions should include substitute or engineering controls (e.g., computerized provider order entry) along with administrative controls (e.g., expert consultation).

Older adults are at increased risk of hospitalization due to COVID-19 infections. This study examined the potential severe drug-drug interactions (DDI) among hospitalized older adults taking two or more medications at admission and discharge. There was a significant increase in prescription of proton pump inhibitors and heparins from admission to discharge. Clinical decision support systems should be used to assess potential DDI with particular attention paid to the risk of bleeding complications linked to heparin-based DDIs.

This study explored the role of machine-learning based clinical decision support (CDS) algorithms to support (rather than replace) human decision-making and the impact on diagnostic performance. This systematic review of 37 studies found limited evidence that the use of machine learning-based CDS systems contributes to improved diagnostic performance among clinicians. Interobserver agreement, user feedback, and clinician override were the most commonly reported outcomes. The authors emphasize the importance of further evaluation of human-computer interaction.

In addition to being used for patient-specific clinical purposes, data within the electronic health record (EHR) may be used for other purposes including epidemiological research. Researchers in the UK developed and tested a clinical decision support system (CDSS) to evaluate changes in the types and number of observations that primary care physicians entered into the EHR during simulated patient encounters. Physicians documented more clinical observations using the CDSS compared to the standard electronic health record. The increase in documented clinical observations has the potential to improve validity of research developed from EHR data.

The prescribing of potentially inappropriate medications, particularly among older adults, is an ongoing quality and safety concern. Among adults 65 years and older, this study found that clinical decision support integrated with a new electronic health record system significantly reduced potentially inappropriate medications.   

Clinical decision support systems (CDSS) and computerized physician order entry (CPOE) have the potential to improve patient safety. This randomized trial evaluated the impact of integrating CDSS into CPOE among general practitioners in Belgium. The intervention improved appropriateness and decreased volume of laboratory test ordering and did not show any increases in diagnostic errors.

This study evaluated the impact of an electronic decision support tool comprising a comprehensive drug review to support deprescribing and reduce polypharmacy in elderly adults. Results indicate that the tool did reduce the number of prescribed drugs but did not significantly reduce unplanned hospital admissions or death after 24 months.