AI Article Synopsis

  • Ambulatory electrocardiography is the go-to method for diagnosing cardiac arrhythmias, but choosing the right type and duration of monitoring is crucial for effectiveness and cost-effectiveness.
  • Many healthcare institutions lack clear guidelines for test selection, which often results in repeat testing, increased costs, and poorer patient outcomes.
  • To improve this, a multidisciplinary team created a user-friendly, color-coded flowchart algorithm to help clinicians select the best test option, aiming to enhance diagnostic efficiency and patient care through its implementation in the electronic medical records system.

Article Abstract

In the outpatient setting, ambulatory electrocardiography is the most frequently used diagnostic modality for the evaluation of patients in whom cardiac arrhythmias or conduction abnormalities are suspected. Proper selection of the device type and monitoring duration is critical for optimizing diagnostic yield and cost-effective resource utilization. However, despite guidance from major professional societies, the lack of systematic guidance for proper test selection in many institutions results in the need for repeat testing, which leads to not only increased resource utilization and cost of care, but also suboptimal patient care. To address this unmet need at our own institution, we formed a multidisciplinary panel to develop a concise, yet comprehensive algorithm, incorporating the most common indications for ambulatory electrocardiography, to efficiently guide clinicians to the most appropriate test option for a given clinical scenario, with the goal of maximizing diagnostic yield and optimizing resource utilization. The algorithm was designed as a single-page, color-coded flowchart to be utilized both as a rapid reference guide in printed form, and a decision support tool embedded within the electronic medical records system at the point of order entry. We believe that systematic adoption of this algorithm will optimize diagnostic efficiency, resource utilization, and importantly, patient care and satisfaction.

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Source
http://dx.doi.org/10.1097/HPC.0000000000000259DOI Listing

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