Purpose: The current pharmacy occurrence-reporting system in an institution was reviewed, and an internal procedure that would provide data to improve the medication-use process was developed.
Summary: In a rural, 353-bed, tertiary care academic center, the effectiveness of a departmental occurrence-reporting system was determined over a nine-month period to increase occurrence reporting within the pharmacy and allow administrators to identify specific areas for improvement within the medication distribution process. These events were identified according to the number and type of near misses documented by pharmacy staff. The pharmacy staff was asked to complete a survey about the department's current reporting process and what the staff desired in a new occurrence-reporting system. The staff was also surveyed on which steps of the pharmacy's medication distribution process could contribute to the most errors. Initially, a paper-based error-reporting form was developed for all steps of the pharmacy distribution process except pharmacist order entry. Once the paper-based error-reporting form was introduced, the pharmacist order-entry phase of the project was begun. During the evaluation period, 203 pharmacy-dispensing errors were reported to the hospital's error-reporting system. In contrast, 1385 total pharmacy events were documented using the pharmacy's internal occurrence-reporting system. At least 204 of those reported events involved high-alert medications according to the institution's high-alert medications policy.
Conclusion: A pharmacy internal occurrence-reporting system increased staff reporting and identified areas for improvement within the medication distribution process that may not have been recorded by a hospital-based reporting system.
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http://dx.doi.org/10.2146/ajhp060166 | DOI Listing |
Proc Natl Acad Sci U S A
February 2025
Computer Science, School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134.
As knowledge accumulates in science and society in a distributed fashion, erroneous derivations can be introduced into the corpus of knowledge. Such derivations can compromise the validity of any units of knowledge that rely on them in the future. Can societal knowledge maintain some level of integrity given simple distributed error-checking mechanisms? In this paper, we investigate the following formulation of the question: assuming that a constant fraction of the new derivations is wrong, is it possible for simple error-checking mechanisms that apply when a new unit of knowledge is derived to maintain the integrity of the corpus of knowledge? This question was introduced by Ben-Eliezer et al.
View Article and Find Full Text PDFPLoS One
January 2025
School of Hydraulic and Electric Power, Heilongjiang University, Harbin, Heilongjiang, China.
Soil moisture is the core of the hydrological cycle in agroecosystems, and most of the studies on soil moisture dynamics modeling adopt deterministic research methods, which are not well suited to study the hydrological processes in agricultural fields under changing conditions. Therefore, the present study adopts a stochastic approach to reveal the distribution characteristics of soil moisture in agroecosystems under the effects of soil, climate, vegetation, and other influencing factors. Using soil moisture and precipitation data and based on a stochastic model of soil moisture dynamics, the point-scale soil moisture dynamic characteristics and soil moisture probability density function of farmland systems in the Songnen Plain region were investigated.
View Article and Find Full Text PDFInvest Ophthalmol Vis Sci
January 2025
University Eye Clinic Maastricht, Maastricht University Medical Center, Maastricht, the Netherlands.
JMIR Public Health Surveill
January 2025
Monitoring, Evaluation, and Learning Platform USAID, Jakarta, Indonesia.
Background: Indonesia's vast archipelago and substantial population size present unique challenges in addressing its multifaceted HIV epidemic, with 90% of its 514 districts and cities reporting cases. Identifying key populations (KPs) is essential for effectively targeting interventions and allocating resources to address the changing dynamics of the epidemic.
Objective: We examine the 2022 mapping of Indonesia's KPs to develop improved HIV and AIDS interventions.
J Chem Inf Model
January 2025
Analytical Research & Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States.
The screening of chemical libraries is an essential starting point in the drug discovery process. While some researchers desire a more thorough screening of drug targets against a narrower scope of molecules, it is not uncommon for diverse screening sets to be favored during the early stages of drug discovery. However, a cost burden is associated with the screening of molecules, with potential drawbacks if particular areas of chemical space are needlessly overrepresented.
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