pharmacy cdss

BACKGROUND: Clinical decision-making is a complex cognitive process that relies on the interpretation of a large variety of data from different sources and involves the use of knowledge bases and scientific recommendations. The representation of clinical data plays a key role in the speed and efficiency of its interpretation. In addition, the increasing use of clinical decision support systems (CDSSs) provides assistance to clinicians in their practice, allowing them to improve patient outcomes...

BACKGROUND: Invasive aspergillosis (IA) is increasing especially in new groups of patients. Despite advances in management, morbidity and mortality related to IA remain high. Thus, Clinical Decision Support System (CDSS) dedicated to IA are needed to promote the optimal antifungal for each group of patients. PATIENTS AND METHODS: This was a retrospective multicenter cohort study involving intensive care units and medical units. Adult patients who received caspofungin, isavuconazole, itraconazole, liposomal amphotericin B, posaconazole, or voriconazole, for the treatment of IA were eligible for enrollment...

This systematic review compared the efficacy and tolerance of oral antipsychotics (APDs) used in the treatment of schizophrenia following the PRISMA-P© statement ( n = 21). The primary outcomes of interest were clinical response measured with symptoms' improvement, tolerance to side effects and discontinuation reasons. There was better individual patients' response to aripiprazole vs. ziprasidone and quetiapine ((CDSS p = 0.04), BPRS p = 0.02, YMRS p = 0.001) and ziprasidone vs. quetiapine (CGI p = 0.02, CDSS p = 0...

BACKGROUND: A six year collaboration between academics, community pharmacists and informaticians, led to the development of nine guidelines for a clinical decision support system, enhancing community pharmacists' ability to address drug-related problems and improve care. AIM: The objective of this study was to assess the effectiveness of clinical decision support system rules in enhancing medication management within the community pharmacy setting. This was achieved through retrospective monitoring of real-world usage and measuring the pharmacotherapeutic impact of the rules...

OBJECTIVE: Clinical decision support systems (CDSS) were implemented in community pharmacies over 40 years ago. However, unlike CDSS studies in other health settings, few studies have been undertaken to evaluate and improve their use in community pharmacies, where billions of prescriptions are filled every year. The aim of this scoping review is to summarize what research has been done surrounding CDSS in community pharmacies and call for rigorous research in this area. MATERIALS AND METHODS: Six databases were searched using a combination of controlled vocabulary and keywords relating to community pharmacy and CDSS...

AIM: The objective of the study was to describe the impact of a clinical decision support system (CDSS) on antidiabetic drug management by clinical pharmacists for hospitalized patients with T2DM. METHODS: We performed a retrospective, single-center study in a teaching hospital, where clinical pharmacists analyzed prescriptions and issued pharmacist interventions (PIs) through a computerized physician order entry (CPOE) system. A CDSS was integrated into the pharmacists' workflow in July 2019...

OBJECTIVES: Prescribing errors can lead to inconvenience, morbidity and mortality. It is therefore crucial to educate doctors to prescribe safely, efficiently and effectively. To create an effective educational programme, it is essential to understand which errors are made and by whom. The aim of this study is to explore if the experience level of the doctor influences how many and which prescribing errors are made in a European academic teaching hospital, where a computerised physician order entry system (CPOE) with a clinical decision support system (CDSS) is exclusively used...

Background: Inappropriate medication in older patients with multimorbidity results in a greater risk of adverse drug events. Clinical decision support systems (CDSSs) are intended to improve medication appropriateness. One approach to improving CDSSs is to use ontologies instead of relational databases. Previously, we developed OntoPharma-an ontology-based CDSS for reducing medication prescribing errors. Objective: The primary aim was to model a domain for improving medication appropriateness in older patients (chronic patient domain)...

Background: Inappropriate medication in older patients with multimorbidity results in a greater risk of adverse drug events. Clinical decision support systems (CDSSs) are intended to improve medication appropriateness. One approach to improving CDSSs is to use ontologies instead of relational databases. Previously, we developed OntoPharma-an ontology-based CDSS for reducing medication prescribing errors. Objective: The primary aim was to model a domain for improving medication appropriateness in older patients (chronic patient domain)...

Clinical decision support systems (CDSS) are tools that have been used for several years by clinical pharmacy teams to support pharmaceutical analysis, with a perspective of contributing to the quality of care in collaboration with the other health care team members. These tools require both technical, logistical and human resources. The growing use of these systems in different establishments in France and in Europe gave birth to the idea of meeting to share our experiences. The days organized in Lille in September 2021 aimed at proposing a time of exchange and reflection on the use of these CDSS in clinical pharmacy...

BACKGROUND: Multimorbidity, the presence of more than one condition in a single individual, is a global health issue in primary care. Multimorbid patients tend to have a poor quality of life and suffer from a complicated care process. Clinical decision support systems (CDSSs) and telemedicine are the common information and communication technologies that have been used to reduce the complexity of patient management. However, each element of telemedicine and CDSSs is often examined separately and with great variability...

OBJECTIVE: Clinical decision support systems (CDSSs) can reduce medical errors increasing drug prescription appropriateness. Deepening knowledge of existing CDSSs could increase their use by healthcare professionals in different settings (ie, hospitals, pharmacies, health research centres) of clinical practice. This review aims to identify the characteristics common to effective studies conducted with CDSSs. MATERIALS AND METHODS: The article sources were Scopus, PubMed, Ovid MEDLINE and Web of Science, queried between January 2017 and January 2022...

OBJECTIVES: To study the process of implementing the DRESS management system by pharmacists and its results, during 2016-2020. RESEARCH METHOD: Operational Research, starting from the process of implementing the DRESS management system by the pharmacy department of Samutsakhon Hospital and reporting the results to the Pharmacy and Therapeutic Committee in patients diagnosed with DRESS according to the RegiSCAR criteria, collecting data from an electronic medical records database...

Clinical decision support systems (CDSSs) are intended to detect drug-related problems in real time and might be of value in healthcare institutions with a clinical pharmacy team. The objective was to report the detection of drug-related problems through a CDSS used by an existing clinical pharmacy team over 22 months. It was a retrospective single-center study. A CDSS was integrated in the clinical pharmacy team in July 2019. The investigating clinical pharmacists evaluated the pharmaceutical relevance and physician acceptance rates for critical alerts (i...

BACKGROUND: Owing to pharmacokinetic variations in pediatric patients, many antibiotics require weight-based dosing to ensure medication safety and antimicrobial stewardship. Despite the need for weight-based dosing, prescribers are not legally required to include the weight or diagnosis code on pediatric prescriptions that are necessary components to verify appropriateness. Clinical decision support system (CDSS) can help clinicians improve dosing appropriateness, but little is known about CDSS in a community pharmacy setting...

BACKGROUND: Clinical decision support systems (CDSS) can help identify drug-related problems (DRPs). However, the alert specificity remains variable. Defining more relevant alerts for detecting DRPs would improve CDSS. AIM: Develop electronic queries that assist pharmacists in conducting medication reviews and an assessment of the performance of this model to detect DRPs. METHOD: Electronic queries were set up in CDSS using "triggers" from electronic health records: drug prescriptions, laboratory values, medical problems, vital signs, demographics...

DISCLAIMER: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. PURPOSE: Traditional methods used to evaluate changes in kidney function to identify acute kidney injury (AKI) have significant limitations...

BACKGROUND: The state of digitalisation in the healthcare sector in Switzerland is lagging, even as the national electronic health record (EHR) is being gradually implemented. Little is known about the implementation of electronic prescribing systems, their auxiliary features or drug datasets in Swiss hospitals.The aim of this study was to understand which electronic systems are implemented to support doctors in Swiss hospitals during the medication prescribing process. METHODS: The survey was sent in spring 2021 to the chief pharmacists of the main Swiss hospitals...

Purpose: Polypharmacy is a known risk factor for potentially inappropriate prescribing. Recently there is an increasing interest in clinical decision support systems (CDSS) to improve prescribing. The objective of this study was to evaluate the impact of a CDSS, with the START-STOPP criteria as main content in the setting of a geriatric ward. Endpoints were 1) appropriateness of prescribing and 2) acceptance rate of recommendations. Methods: This prospective study comparing the use of a CDSS with usual care involved patients admitted to geriatric wards in two teaching hospitals in the Netherlands...

BACKGROUND: Computerized decision support systems (CDSSs) help hospital-based clinical pharmacists to perform medication reviews and so are promising tools for improving medication safety. However, their poor usability can reduce effectiveness and acceptability. OBJECTIVES: To evaluate the usability and perceived usefulness of a CDSS for medication review by hospital-based pharmacists and to draw up guidelines on improving its usability. METHODS: We performed a convergent, parallel evaluation...