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1.
J Perinatol ; 40(10): 1518-1523, 2020 10.
Artículo en Inglés | MEDLINE | ID: mdl-32792630

RESUMEN

OBJECTIVE: Adherence to guidelines for phototherapy initiation in preterm infants was 39% in our academic NICU (61% of phototherapy was initiated at total bilirubin (TB) levels below recommended thresholds). We hypothesized that adoption of an electronic health record integrated clinical decision support (CDS) tool would improve adherence to phototherapy guidelines. STUDY DESIGN: We developed and implemented Premie BiliRecs (PBR), a novel CDS tool for phototherapy initiation in preterm infants from 27 through 34 weeks postmenstrual age. The primary outcome measure was the proportion of phototherapy initiation events consistent with recommended TB thresholds. RESULT: Following the implementation of PBR, adherence to guidelines for phototherapy initiation in preterm infants increased to 69.8% (p < 0.001), an improvement of 77%. There was no increase in the incidence of severe hyperbilirubinemia nor exchange transfusions. CONCLUSION: The adoption of PBR was associated with improved adherence to phototherapy guidelines in preterm infants without increased adverse events.


Asunto(s)
Sistemas de Apoyo a Decisiones Clínicas , Hiperbilirrubinemia Neonatal , Bilirrubina , Humanos , Hiperbilirrubinemia Neonatal/terapia , Recién Nacido , Recien Nacido Prematuro , Fototerapia
2.
Front Pharmacol ; 11: 551, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-32411000

RESUMEN

BACKGROUND: Model-informed precision dosing (MIPD) can serve as a powerful tool during therapeutic drug monitoring (TDM) to help individualize dosing in populations with large pharmacokinetic variation. Yet, adoption of MIPD in the clinical setting has been limited. Overcoming technologic hurdles that allow access to MIPD at the point-of-care and placing it in the hands of clinical specialists focused on medication dosing may encourage adoption. OBJECTIVE: To describe the hospital implementation and usage of a MIPD clinical decision support (CDS) tool for vancomycin in a pediatric population. METHODS: Within an academic children's hospital, MIPD for vancomycin was implemented via a commercial cloud-based CDS tool that utilized Bayesian forecasting. Clinical pharmacists were recognized as local champions to facilitate adoption of the tool and operated as end-users. Integration within the electronic health record (EHR) and automatic transmission of patient data to the tool were identified as important requirements. A web-link icon was developed within the EHR which when clicked sends users and needed patient-level clinical data to the CDS platform. Individualized pharmacokinetic predictions and exposure metrics for vancomycin are then presented in the form of a web-based dashboard. Use of the CDS tool as part of TDM was tracked and users were surveyed on their experience. RESULTS: After a successful pilot phase in the neonatal intensive care unit, implementation of MIPD was expanded to the pediatric intensive care unit, followed by availability to the entire hospital. During the first 2+ years since implementation, a total of 853 patient-courses (n = 96 neonates, n = 757 children) and 2,148 TDM levels were evaluated using the CDS tool. For the most recent 6 months, the CDS tool was utilized to support 79% (181/230) of patient-courses in which TDM was performed. Of 26 users surveyed, > 96% agreed or strongly agreed that automatic transmission of patient data to the tool was a feature that helped them complete tasks more efficiently; 81% agreed or strongly agreed that they were satisfied with the CDS tool. CONCLUSIONS: Integration of a vancomycin CDS tool within the EHR, along with leveraging the expertise of clinical pharmacists, allowed for successful adoption of MIPD in clinical care.

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