RESUMO
Modern smart infusion pumps are wirelessly connected to a network server for easy data communications. The two-way communication allows uploading of infusion data and downloading of drug library updates. We have discovered significant delays in library updates. This research aimed at studying the drug library update process of one vendor pump and the contributing factors of pump update delays. Our data included BD Alaris™ pump status and infusion reports of two hospital systems (92 and 80 days, respectively, in 2015). We analyzed drug library update progressions at the individual device and fleet levels. To complete a library update, a pump goes through two status transitions: from noncurrent to a new library pending, and from pending to current. On average it took five to nine days for 50% of a pump fleet to become current after a new drug library was disseminated. We confirmed factors that affect noncurrent-to-pending time to include time to first power-on and total power-on time. We also found that high pump utilization promotes shorter pending-to-current time. Two distinctive and important steps of a drug library update on Alaris™ pumps are pending a new library and completing the library installation. To avoid potential patient harm caused by infusion pumps without appropriate drug limits due to update delays, hospitals should monitor the progression of a drug library update on its pump fleet. Potential ways to improve drug library updates on a fleet of pumps include better technologies, improved pump user-interface design, and more staff training.
Assuntos
Bombas de Infusão , Sistemas On-Line/estatística & dados numéricos , Tecnologia sem Fio , Humanos , Fatores de TempoRESUMO
OBJECTIVE: Our previous study showed that the issue of drug library update delays on wireless intravenous (IV) infusion pumps of one major vendor was widespread and significant. However, the impact of such a delay was unclear. The objective of this study was to quantify the impact of pump library update delays on patient safety in terms of missed and false infusion programming alerts. METHODS: The study data sets included infusion logs and drug libraries from three hospitals of one health system from January 2015 to December 2016. We identified limit setting changes of any two consecutive drug library versions. We quantified the impact of using outdated drug limit settings by missed and false infusion programming alerts. RESULTS: Twenty-five updates of the drug library were released within the health system during the 2-year period with an average interval of 28.8 days. After a new library version was issued, it took at least 6 days for 50% of all pumps to become up-to-date and 15 days or more to reach 80%. All three hospitals had at least 16% of all IV infusions programmed with outdated libraries. This resulted in 18%, 24.4%, and 27% of false alerts in the three hospitals, respectively. We identified two cases of missed alert infusions of high-risk medications, propofol, and potassium chloride, which could have negatively impacted patient safety. CONCLUSIONS: These findings support our assumption that potential serious harm can happen when IV infusions are administered with outdated drug limit settings due to delays in drug library updates on the pump.
Assuntos
Bombas de Infusão/normas , Infusões Intravenosas/métodos , Segurança do Paciente/normas , HumanosRESUMO
PURPOSE: Results of a study to estimate the prevalence and severity of delays in wireless updates of smart-pump drug libraries across a large group of U.S. hospitals are reported. METHODS: A prolonged smart-pump drug library update may result in patient harm if a pump is programmed with an incorrect limit setting at the time of drug administration. A retrospective study was conducted using smart-pump alert data extracted from the Regenstrief National Center for Medical Device Informatics (REMEDI) database. The study sample consisted of 49 hospitals in 5 states across the Midwest and Kentucky operated by 12 health systems; all the facilities used a specific brand of smart pump (BD Alaris, Beckton, Dickinson and Company) capable of generating alert data and had consistently contributed alert data to the REMEDI database over a 2-year period. An update delay was defined as the interval from the time a drug library version was replaced to the time of the last infusion alert triggered by the previous version during the study period. RESULTS: Of the 12 health systems, 11 were found to have had drug library update delays during the study period, with delay medians ranging from 22 to 192 days. The overall delay minimum and maximum durations were 0 and 661 days. CONCLUSION: Substantial delays in completion of wireless updates of smart-pump drug libraries were common across a group of hospitals of various sizes.
Assuntos
Bombas de Infusão/normas , Sistemas de Registro de Ordens Médicas/normas , Erros de Medicação/prevenção & controle , Sistemas de Medicação no Hospital/normas , Tecnologia sem Fio/normas , Bases de Dados Factuais/normas , Segurança de Equipamentos/normas , Humanos , Bombas de Infusão/efeitos adversos , Prevalência , Estudos Retrospectivos , Fatores de TempoRESUMO
Interoperability is a major challenge in current healthcare systems. It brings big hope for data exchange, but also raises some concern about patient safety. We study the wireless updating of modern infusion pumps and demonstrate the possible flaws in this process. Through analyzing data on drug limit libraries (DLL) versions in one hospital we could identify the delays in distributing DLL updates and the impact these delays might have on patient safety. We found that 31% of all started infusions had used outdated DLL versions, and 22.6% of all alerts were triggered by outdated DLLs. These findings suggest that clinical and operational stakeholders in healthcare systems must address the unreliable interoperability of medical technologies such as seen on infusion pumps. The impact of information inconsistency across healthcare systems might result in use error which would impair patient safety.