Read by QxMD icon Read

pharmacy cdss

Mette Heringa, Annet van der Heide, Annemieke Floor-Schreudering, Peter A G M De Smet, Marcel L Bouvy
OBJECTIVE: Drug interaction alerts (drug-drug and drug-disease interaction alerts) for chronic medications substantially contribute to alert fatigue in primary care. The aim of this study was to determine which events require (re)assessment of a drug interaction and whether using these events as triggers in clinical decision support systems (CDSSs) would affect the alert rate. METHODS: Two random 5% data samples from the CDSSs of 123 community pharmacies were used: dataset 1 and 2...
January 2018: International Journal of Medical Informatics
Mette Heringa, Annemieke Floor-Schreudering, Peter A G M De Smet, Marcel L Bouvy
OBJECTIVE: The aim was to investigate the management of drug therapy alerts on safe use of antibiotics in elderly patients with (potential) renal impairment and the contribution of optional creatinine point of care testing (PoCT) in community pharmacy practice. METHODS: Community pharmacists used a clinical decision support system (CDSS) for seven antibiotics. Alerts were generated during prescription processing in the case of previously registered renal impairment and when no information on renal function was available for patients aged 70 and over...
November 2017: Drugs & Aging
Erin G Stone
Many institutions have implemented clinical decision support systems (CDSSs). While CDSS research papers have focused on benefits of these systems, there is a smaller body of literature showing that CDSSs may also produce unintended adverse consequences (UACs). Detailed here are 2 cases of UACs resulting from a CDSS. Both of these cases were related to external systems that fed data into the CDSS. In the first case, lack of knowledge of data categorization in an external pharmacy system produced a UAC; in the second case, the change of a clinical laboratory instrument produced the UAC...
September 23, 2017: Journal of the American Medical Informatics Association: JAMIA
S Verdoorn, H F Kwint, P Hoogland, J Gussekloo, M L Bouvy
WHAT IS KNOWN AND OBJECTIVE: To facilitate the identification of drug-related problems (DRPs) during medication review, several tools have been developed. Explicit criteria, like Beers criteria or STOPP (Screening Tool of Older Peoples' Prescriptions) and START (Screening Tool to Alert doctors to Right Treatment) criteria, can easily be integrated into a clinical decision support system (CDSS). The aim of this study was to investigate the effect of adding a CDSS to medication review software on identifying and solving DRPs in daily pharmacy practice...
April 2018: Journal of Clinical Pharmacy and Therapeutics
Bettina Plank-Kiegele, Thomas Bürkle, Fabian Müller, Andrius Patapovas, Anja Sonst, Barbara Pfistermeister, Harald Dormann, Renke Maas
BACKGROUND: Adverse drug events (ADE) involving or not involving medication errors (ME) are common, but frequently remain undetected as such. Presently, the majority of available clinical decision support systems (CDSS) relies mostly on coded medication data for the generation of drug alerts. It was the aim of our study to identify the key types of data required for the adequate detection and classification of adverse drug events (ADE) and medication errors (ME) in patients presenting at an emergency department (ED)...
April 28, 2017: Methods of Information in Medicine
Min Chen, Tao Yu, Shu Wang, Guangjun Yu
Taking children respiratory infectious diseases as the research object, CDSS transform from isolated clinical data to an integration Model. With integrating pharmacy and laboratory knowledge, the system establishes children typical characterization data of common infectious diseases and medical efficacy data repository to providing treatment recommendations for doctor. Based on the clinical characteristics of children infectious diseases, this paper proposes knowledge inference engine and an information integration model...
January 2016: Zhongguo Yi Liao Qi Xie za Zhi, Chinese Journal of Medical Instrumentation
Mette Heringa, Hidde Siderius, Annemieke Floor-Schreudering, Peter A G M de Smet, Marcel L Bouvy
OBJECTIVE: We aimed to investigate to what extent clustering of related drug interaction alerts (drug-drug and drug-disease interaction alerts) would decrease the alert rate in clinical decision support systems (CDSSs). METHODS: We conducted a retrospective analysis of drug interaction alerts generated by CDSSs in community pharmacies. Frequently generated combinations of alerts were analyzed for associations in a 5% random data sample (dataset 1). Alert combinations with similar management recommendations were defined as clusters...
January 2017: Journal of the American Medical Informatics Association: JAMIA
Dan English, Kalyani Ankem, Kathleen English
INTRODUCTION: There are clinical and economic benefits to incorporating clinical decision support systems (CDSSs) in patient care interventions in the clinical pharmacy setting. However, user dissatisfaction and resistance to HIT can prevent optimal use of such systems, particularly when users employ system workarounds and overrides. OBJECTIVES: The present study applied a modified version of the unified theory of acceptance and use of technology (UTAUT) to evaluate the disposition and satisfaction with CDSS among clinical pharmacists who perform surveillance to identify potential medication therapy interventions on patients in the hospital setting...
March 2017: Informatics for Health & Social Care
James Gallagher, David O'Sullivan, Suzanne McCarthy, Paddy Gillespie, Noel Woods, Denis O'Mahony, Stephen Byrne
BACKGROUND: A recent cluster randomised controlled trial (RCT) conducted in an Irish hospital evaluating a structured pharmacist review of medication (SPRM), supported by computerised clinical decision support software (CDSS), demonstrated positive outcomes in terms of reduction of adverse drug reactions (ADR). OBJECTIVE: The aim of this study was to examine the cost effectiveness of pharmacists applying an SPRM in conjunction with CDSS to older hospitalised patients compared with usual pharmaceutical care...
April 2016: Drugs & Aging
Mette Heringa, Annemieke Floor-Schreudering, P Chris Tromp, Peter A G M de Smet, Marcel L Bouvy
PURPOSE: The purpose of this study is to investigate the nature, frequency, and determinants of drug therapy alerts generated by a clinical decision support system (CDSS) in community pharmacy in order to propose CDSS improvement strategies. METHODS: This is a retrospective analysis of dispensed drugs and drug therapy alerts generated by a CDSS in community pharmacies. RESULTS: Data were extracted from the CDSS of 123 community pharmacies...
January 2016: Pharmacoepidemiology and Drug Safety
Hugo A J M de Wit, Carlota Mestres Gonzalvo, Jenny Cardenas, Hieronymus J Derijks, Rob Janknegt, Paul-Hugo M van der Kuy, Bjorn Winkens, Jos M G A Schols
OBJECTIVES: To improve the current standalone pharmacy clinical decision support system (CDSS) by identifying and quantifying the benefits and limitations of the system. METHODS: Alerts and handling of the executed clinical rules were extracted from the CDSS from the period September 2011 to December 2011. The number of executed clinical rule alerts, number of actions on alerts, and the reason why alerts were classified as not relevant were analyzed. The alerts where considered clinically relevant when the pharmacist needed to contact the physician...
June 2015: International Journal of Medical Informatics
Pieter J Helmons, Bas O Suijkerbuijk, Prashant V Nannan Panday, Jos G W Kosterink
BACKGROUND: Drug-drug interactions (DDIs) are very prevalent in hospitalized patients. OBJECTIVES: To determine the number of DDI alerts, time saved, and time invested after suppressing clinically irrelevant alerts and adding clinical-decision support to relevant alerts. MATERIALS AND METHODS: The most frequently occurring DDIs were evaluated for clinical relevance by a multidisciplinary expert panel. Pharmacist evaluation of relevant DDIs was facilitated using computerized decision support systems (CDSS)...
July 2015: Journal of the American Medical Informatics Association: JAMIA
Andrius Patapovas, Barbara Pfistermeister, Aleksey Tarkhov, Lothar Terfloth, Renke Maas, Martin F Fromm, Johannes Kornhuber, Hans-Ulrich Prokosch, Thomas Bürkle
BACKGROUND: In many countries, officially approved drug information known as summary of product characteristics (SPC) is mostly available in text form, which cannot be used for Clinical Decision Support Systems (CDSS). It may be essential however to substantiate CDSS advice with such legally binding text snippets. In an attempt to link various drug data sources including SPC towards a CDSS to support medication safety in psychiatric patients we arrived at the notion of an effect object...
2014: Studies in Health Technology and Informatics
C Curtain, G M Peterson
WHAT IS KNOWN AND OBJECTIVE: Clinical decision support software (CDSS) has been increasingly implemented to assist improved prescribing practice. Reviews and studies report generally positive results regarding prescribing changes and, to a lesser extent, patient outcomes. Little information is available, however, concerning the use of CDSS in community pharmacy practice. Given the apparent paucity of publications examining this topic, we conducted a review to determine whether CDSS in community pharmacy practice can improve medication use and patient outcomes...
August 2014: Journal of Clinical Pharmacy and Therapeutics
David O'Sullivan, Denis O'Mahony, Marie N O'Connor, Paul Gallagher, Shane Cullinan, Richard O'Sullivan, James Gallagher, Joseph Eustace, Stephen Byrne
BACKGROUND: Throughout the literature, drug-related problems (DRPs), such as medication reconciliation issues and potentially inappropriate prescribing, have been reported to be associated with adverse outcomes in older individuals. Both structured pharmacist review of medication (SPRM) interventions and computerized decision support systems (CDSSs) have been shown to reduce DRPs. OBJECTIVE: The objectives of this study were to (i) evaluate the impact of a specially developed SPRM/CDSS intervention on the appropriateness of prescribing in older Irish hospital inpatients, and (ii) examine the acceptance rates of these recommendations...
June 2014: Drugs & Aging
Stacy Calloway, Hameed A Akilo, Kyle Bierman
Health care organizations are turning to electronic clinical decision support systems (CDSSs) to increase quality of patient care and promote a safer environment. A CDSS is a promising approach to the aggregation and use of patient data to identify patients who would most benefit from interventions by pharmacy clinicians. However, there are limited published reports describing the impact of CDSS on clinical pharmacy measures. In February 2011, Good Shepherd Medical Center, a 425-bed acute care community hospital in East Texas, implemented a CDSS (TheraDoc clinical surveillance system)...
October 2013: Hospital Pharmacy
Anne-Marie J Scheepers-Hoeks, Rene J Grouls, Cees Neef, Eric W Ackerman, Erik H Korsten
BACKGROUND: In intensive care environments, technology is omnipresent whereby ensuring constant monitoring and the administration of critical drugs to unstable patients. A clinical decision support system (CDSS), with its widespread possibilities, can be a valuable tool in supporting adequate patient care. However, it is still unclear how decision support alerts should be presented to physicians and other medical staff to ensure that they are used most effectively. OBJECTIVE: To determine the effect of four different alert presentation methods on alert compliance after the implementation of an advanced CDSS on the intensive care unit (ICU) in our hospital...
September 2013: Artificial Intelligence in Medicine
Rianne J Zaal, Mark M P M Jansen, Marjolijn Duisenberg-van Essenberg, Cees C Tijssen, Jan A Roukema, Patricia M L A van den Bemt
BACKGROUND: Both clinical pharmacists and computerized physician order entry systems with clinical decision support (CPOE/CDSS) can reduce drug-related problems (DRPs). However, the contribution of a clinical pharmacist in addition to CPOE/CDSS has not been established in a prospective study. OBJECTIVE: To determine which DRPs can be identified by a clinical pharmacist in a setting with routine use of CPOE/CDSS. SETTING: Two surgical and two neurological wards in St...
October 2013: International Journal of Clinical Pharmacy
K Ann McKibbon, Cynthia Lokker, Steve M Handler, Lisa R Dolovich, Anne M Holbrook, Daria O'Reilly, Robyn Tamblyn, Brian J Hemens, Runki Basu, Sue Troyan, Pavel S Roshanov, Norman P Archer, Parminder Raina
OBJECTIVES: The objective of the report was to review the evidence on the impact of health information technology (IT) on all phases of the medication management process (prescribing and ordering, order communication, dispensing, administration and monitoring as well as education and reconciliation), to identify the gaps in the literature and to make recommendations for future research. DATA SOURCES: We searched peer-reviewed electronic databases, grey literature, and performed hand searches...
April 2011: Evidence Report/technology Assessment
Eun Young Heo, Hee Hwang, Eun Hye Kim, Eun Young Cho, Kee Hyuck Lee, Tae Hun Kim, Ki Dong Kim, Rong Min Baek, Sooyoung Yoo
OBJECTIVES: This study aims to investigate the suitability of electronic health record (EHR) systems in Korea for global certification and to propose functions for future global systems by comparing and analyzing the certification criteria for Certification Commission for Health Information Technology (CCHIT) Certified Ambulatory EHR with BESTCare, which is the EHR system at Seoul National University Bundang hospital. METHODS: Domain expert groups were formed to analyze the inclusion of BESTCare functions and the types of differences for each of the CCHIT Certified 2011 Ambulatory EHR Certification Criteria...
March 2012: Healthcare Informatics Research
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"