View clinical trials related to Medication Errors.
Filter by:Device: computerized physician order entry. We wanted to investigate if the introduction of a computerized intensive care unit system reduced the incidence and severity of medication prescription errors (MPEs). A prospective trial was conducted during 5 weeks in a paper-based unit versus a computerized unit. The registration of different classes of MPEs was done by a clinical pharmacist. An independent panel evaluated the severity of MPEs.
The purpose of this study is to determine if a modified paper prescribing form decreases prescribing errors compared to a traditional or standard paper prescribing form.
The purpose of this study is to better understand outpatient prescribing errors through clinic and pharmacy-based error reporting systems.
To determine the effects of Electronic Health Record use on medication error rates in primary care office practices. Hypothesis: Adoption of Electronic Health Records through this program will reduce medication errors
The Taconic IPA, a 2,500 physician independent practice association (IPA) located in Fishkill, New York (NY), is involved in an information technology project to improve the quality, safety and efficiency of healthcare in the region. Over the past three years, the organization has worked with area hospitals and laboratories to create a community wide electronic data exchange. Currently, the Taconic IPA is in the midst of implementing a full electronic health record in some practices and e-prescribing in other practices. The purpose is to study the impact of an electronic health record on safety and quality measures.
This study includes four projects aimed to improve the quality and safety of pediatric care through the implementation of four clinical decision support services in the electronic health record (EHR). The four projects will measure the effect of each clinical decision support feature including: weight-based dosing; smart forms for chronic conditions; guideline reminders; and a results manager to track abnormal lab result follow-up. Hypothesis: Implementation of the clinical decision support features will decrease medication errors and adverse drug events, assist physicians in adhering to clinical practice guidelines and protocols for certain chronic illnesses, improve physician follow-up for abnormal lab results, and overall improve the safety and quality of pediatric clinical practice.