I would like to have a comprehensive review of literature involving smart infusion pump optimizations in the last 10 years. A breakdown of general populations as well as a breakdown of pediatrics specific populations and oncology specific populations.

Comment by InpharmD Researcher

Per a comprehensive literature review, smart infusion pump optimization centers on Drug Error Reduction Software (DERS), optimized drug libraries, multidisciplinary governance, interoperability, and continuous monitoring. In general populations, this reduces medication administration and infusion errors; but compliance gaps, overrides, alert fatigue, and some errors persist. In pediatrics, evidence supports tailored profiles/limits, weight verification, NICU drug-library simulation testing, and interoperability, which reduced infusion errors and high-risk overrides at a pediatric institution. In oncology, pharmacist-led or revised DERS libraries improve compliance, satisfaction, and near-miss/nuisance-alert reduction, though air-in-line alarms and alarm fatigue remain concerns, and further optimization studies are needed.
Background

According to a guidance document from the American Society of Health-System Pharmacists (ASHP), smart infusion pump optimization requires an ongoing, multidisciplinary governance process to ensure that Dose Error Reduction Software (DERS) and associated drug libraries remain current, clinically appropriate, and consistently used. The guidance recommends establishing a Smart Pump Governance Team led by pharmacy and/or nursing representatives with participation from pharmacists, nurses, providers, and other relevant stakeholders to routinely evaluate smart pump performance and recommend system changes. All smart pump profile areas should be reviewed at least annually, with a comprehensive review of drug dosing limits conducted quarterly according to a facility-defined schedule, and additional reviews performed as needed following medication errors or other safety concerns. At a minimum, routine reviews should evaluate the most frequently used medications, formulary updates, overall compliance with dosing limits, and compliance within individual pump profiles, while also considering successful and unsuccessful alerts, patient outliers, medication errors, relevant safety recommendations, and bedside audit findings when available. Recommended drug library or dosing-limit changes should undergo pharmacist review, incorporate nursing input, and receive approval through an interdisciplinary medication safety or equivalent committee before implementation. The guidance also recommends communicating updates to end users through strategies such as computerized prescriber order entry alerts, safety huddles, departmental communications, pump safety initiatives, and summary materials. Following implementation, the governance team should continue monitoring frequently used medications, previously implemented changes, infusion- or pump-related medication incidents, and case-based safety events to determine whether the changes improved smart pump use and identify opportunities for further optimization. [1]

The 2020 Institute for Safe Medication Practices (ISMP) guidelines were developed from literature review, reported medication errors, practitioner surveys, and expert consensus. Recommendations emphasize consistent use of dose error-reduction systems (DERS) for medication and intravenous fluid infusions, with compliance targets of at least 95%; pumps that default to DERS programming; and interdisciplinary management of drug libraries with updates at least quarterly. Library optimization includes standardized medication names, dosing units, and concentrations; population-specific profiles; upper and lower soft and hard limits; restricted custom concentrations; and independently verified library changes. Organizations should review pump data at least quarterly, including compliance, alerts, overrides, reprogramming, and library update completion, and use findings to revise libraries, reduce nuisance alerts, improve workflows, and guide education. [2]

Bidirectional interoperability with the electronic health record (EHR) is recommended to support automatic programming and documentation, with reliable wireless coverage, barcode medication administration, aligned infusion parameters, and testing of orders and library changes. Workflow recommendations include staff competency assessments, tubing tracing, safer secondary infusion management, and double checks for selected high-alert infusions. Pediatric and neonatal considerations include profiles and limits tailored to population, acuity, and weight; verification of dosing weight; correct transfer of weight-based orders; and assessment of small-volume, low-flow syringe infusion workflows. Oncology is represented in the surveys, and the guidelines address correct transfer of body surface area-based dosing, but separate pediatric or oncology effectiveness outcomes are not reported. The document acknowledges limited controlled clinical trial evidence for individual safety practices. [2]

The 2021 Joint Commission Sentinel Event Alert 63 addresses smart infusion pump optimization through DERS, using published literature and safety guidance rather than an original intervention study. Identified barriers include library omissions and bypasses, alert fatigue, pump availability, programming complexity, and usability problems. A cited 2016 study attributed approximately 10% of infusion administration errors or policy violations to bypassing the smart pump or drug library. Recommended strategies include multidisciplinary oversight; independently checked library entries; standardized names, units, and concentrations across systems; reliable updates to every pump; restricted custom concentrations; and population-specific dosing limits. The alert also recommends initial training and annual competency assessments, routine DERS use, and monitoring of alerts, overrides, workarounds, errors, and near misses to identify needed changes to limits and processes. [3]

When organizational capabilities permit, the alert recommends bidirectional pump-EHR integration to reduce manual programming errors by transferring concentration, dose, rate, and weight or body surface area directly from the EHR. It also addresses staffing, distractions, lighting, confusing controls, cybersecurity, and downtime procedures. Pediatric and oncology recommendations specifically include tailored library subsets with appropriate doses and administration limits, plus verification of the correct profile during transfers; separate population-specific outcomes are not reported. The Joint Commission emphasizes that technology alone cannot ensure safe medication management and clarifies that DERS use is suggested practice rather than a requirement of a Joint Commission standard. [3]

A scope review by Alamer et al. comprehensively examined literature from January 2000 to November 2021 to evaluate the impact of smart infusion pump technology in healthcare. The review focused on assessing both the benefits and limitations associated with smart pumps, with particular attention to their ability to reduce parenteral medication errors. The review synthesized data regarding smart pump efficacy, adverse event cases, compliance issues, and strategies to mitigate associated challenges, thereby providing a broad understanding of the technological integration and its clinical implications. The results highlighted that smart pumps equipped with dose error reduction software (DERS) and comprehensive drug libraries significantly decrease infusion-related medication errors, including incorrect dosing and rate programming. For instance, one study cited reported an 80% reduction in infusion errors, while another identified over 1,100 errors prevented in an ICU setting, thereby potentially averting serious adverse events. However, the review also identified notable challenges such as frequent delays in drug library updates, low compliance with drug library usage, and the high override rates of soft alerts—issues that contribute to alert fatigue and risk mitigation failure. Strategies to improve outcomes included enhancing real-time monitoring of drug library compliance, tailored drug library adjustments to reduce unnecessary alerts, and comprehensive user training. The review highlights the importance of integrating smart pumps with hospital information systems and advocated innovations like auto-programming and streamlined device design to enhance usability and safety further. [4]

A 2022 investigation evaluated the impact of a comprehensive review and revision of the Dose Error Reduction Software (DERS) library specifically tailored for hematology/oncology within a quaternary hospital setting in Australia. A multidisciplinary working group, including hematology and oncology nurses, physicians, pharmacists, DERS experts, and vendor representatives, convened multiple times between February and April 2018 to scrutinize 71 medications. Adjustments encompassed dosing limits, infusion rates, and concentrations aligned with updated institutional chemotherapy protocols and emerging treatments, including new chemotherapy agents and supportive medications. After iterative testing and institutional governance approval, 91 modifications were implemented addressing unnecessary soft alerts and aligning infusions with current clinical practice. Compliance with the DERS library was monitored using vendor-supplied Continuous Quality Improvement (CQI) software, which aggregated pump alert data and infusion records to allow granular monthly analysis. Post-review data collected from June to November 2018 demonstrated an increase in compliance with DERS use from 81.5% to 87.3% in the hematology/oncology setting, although this did not reach statistical significance (p= 0.257). Crucially, nursing staff satisfaction measured via electronic surveys improved significantly; the proportion reporting that the library met their requirements very or extremely well rose from 46.7% to 85.7% (p<0.05), and overall satisfaction increased from 83.3% to 92.8% (p<0.05). Analysis of near-miss events, defined as doses exceeding 10 times the upper limit, decreased from two to zero following the review, indicating enhanced safety. Furthermore, the number of alerts triggered by doses or parameters outside the library limits notably declined primarily due to a reduction in nuisance soft alerts related to fluid rates. [5]

A 2025 scoping review examined literature from January 2000 to September 2024 concerning intravenous smart pump (IVSP) alarms, with an emphasis on air-in-line (AIL) alarms in oncology care. A total of 37 full-text studies were included for analysis. The reviewed evidence primarily consisted of retrospective observational studies, quality improvement projects, and descriptive analyses, with a notable absence of randomized controlled trials. The findings revealed that AIL alarms constitute a significant portion of IVSP alarms (ranging from approximately 3% to nearly 10% in various settings) with a substantial impact on nursing workflow and patient experience. Evidence indicated that many AIL alarms are nonactionable or nuisance alarms, contributing to alarm fatigue, increased nursing workload, and treatment delays. Nurses frequently rated AIL alarms as disruptive and low in clinical usefulness, with each alarm requiring an average of five minutes to resolve, cumulatively amounting to extensive time expenditure. The review highlighted that causes of AIL alarms include both preventable factors, such as improper priming technique or failure to remove air from lines, and nonpreventable factors related to fluid properties or infusion system design. Patient perspectives underscored the negative impact of frequent, loud alarms on comfort and anxiety, particularly during prolonged outpatient oncology infusions noted to average over two hours. [6]

A 2026 single-center quality-improvement and practice implementation initiative was conducted at a tertiary hospital’s oncology and hematology infusion units to enhance intravenous chemotherapy administration safety using parameterised smart infusion pumps governed by a clinical pharmacist-led drug library. The intervention involved creating a structured and validated drug library encompassing 57 antineoplastic agents, with drug-specific infusion-time windows, locked hard limits on infusion rates and durations, and mandatory prompts for administration requirements such as in-line filtration and light protection. The implementation included multidisciplinary collaboration between clinical pharmacists, physicians, and nursing leadership, supported by structured staff training, standardized workflows, and job aids. Over a 12-month period post-implementation, approximately 17,000 chemotherapy days and 40,000 infusions were assessed using pump alert logs and clinical pharmacist review to identify administration discrepancies. During this evaluation, 26 clinically meaningful near-miss administration discrepancies were intercepted before infusion initiation, equating to 0.15 discrepancies per 100 chemotherapy days. The majority (69.2%) of these related to attempted faster-than-protocol infusion rates, with others involving prolonged infusion durations, omission of mandatory in-line filters, or failure to apply light-protective measures. No hard-limit overrides were permitted, ensuring all unsafe programming attempts were blocked. The smart pump system also yielded operational efficiencies by reducing manual programming steps, halving the mean programming time per infusion from approximately 60 seconds to 30 seconds. This translated into an estimated nursing time saving of about one hour per day across a typical workload of 120 chemotherapy infusions, allowing reallocation of time to direct patient care activities. Semi-annual governance ensured ongoing library validation, protocol alignment, and alert review to maintain safety and minimize alert fatigue. Collectively, these results demonstrate that pharmacist-led parameterised smart infusion pumps can standardize chemotherapy administration, reduce high-risk programming errors, and support a proactive medication-safety culture in high-volume oncology settings. [7]

Background References: [1] American Society of Health-System Pharmacists. Guidance document for improved smart pump usage and governance. Updated August 31, 2021. Accessed October 1, 2026. https://www.ashp.org/-/media/assets/pharmacy-practice/resource-centers/patient-safety/Guidance-Document-for-Improved-Smart-Pump-Usage-and-Governance_final.pdf
[2] Guidelines for optimizing safe implementation and use of smart infusion pumps. ECRI and ISMP. Accessed October 2, 2026. https://home.ecri.org/blogs/guidance-insights-tools/guidelines-for-optimizing-safe-implementation-and-use-of-smart-infusion-pumps
[3] Sentinel Event Alert 63: Optimizing Smart Infusion Pump Safety with DERS. Jt Comm J Qual Patient Saf. 2021;47(6):394-397. doi:10.1016/j.jcjq.2021.03.013
[4] Alamer F, Alanazi AT. The Impact of Smart Pump Technology in the Healthcare System: A Scope Review. Cureus. 2023;15(3):e36007. Published 2023 Mar 10. doi:10.7759/cureus.36007
[5] Misko J, Rawlins M, Ridley B. Impact of a Review of a Smart Infusion Pump Library in Hematology/Oncology: Tailoring Content to Meet Specialty Needs. J Patient Saf. 2022;18(3):e640-e644. doi:10.1097/PTS.0000000000000907
[6] Meade K, Blake J, Giuliano KK. A Scoping Review: The Impact of IV Smart Pump Air-in-Line Alarms in Oncology Care. Clin J Oncol Nurs. 2025;29(6):E167-E177. doi:10.1188/25.CJON.E167-E177
[7] Ioannidis K, Scarlatinis I, Nikolaou K. Enhancing intravenous chemotherapy administration safety using parameterised smart infusion pumps: A one-year practice implementation. J Oncol Pharm Pract. Published online September 7, 2026. doi:10.1177/10781552261486712
Literature Review

A search of the published medical literature revealed 8 studies investigating the researchable question:

I would like to have a comprehensive review of literature involving smart infusion pump optimizations in the last 10 years. A breakdown of general populations as well as a breakdown of pediatrics specific populations and oncology specific populations.

Level of evidence

C - Multiple studies with limitations or conflicting results  Read more→



Please see Tables 1-8 for your response.


 

Intravenous Smart Pump Drug Library Compliance: A Descriptive Study of 44 Hospitals
Design Descriptive study using data from the Regenstrief National Center for Medical Device Informatics N= 44 hospitals
Objective To determine whether there are differences in IV smart pump drug library compliance between hospital systems and to provide a broad descriptive overview of relevant trends related to IV smart pump compliance
Study Groups 7 hospital systems
Inclusion Criteria Hospitals that contributed at least 3 months of compliance data in 2015
Exclusion Criteria None specified
Methods Data from the Regenstrief National Center for Medical Device Informatics were used to analyze IV smart pump drug library compliance. The study included data from 44 hospitals over a 12-month period in 2015. Compliance was defined as the percentage of infusions delivered using the DERS compared to total infusions. Descriptive statistics and ANOVA were used to analyze differences between hospital systems.
Duration January 1, 2015, to December 31, 2015
Outcome Measures Differences in IV smart pump compliance between hospital systems 
Baseline Characteristics The study evaluated 12 months of 2015 smart pump data from 44 hospitals, including 40 hospitals across 7 health systems, using the Regenstrief National Center for Medical Device Informatics (REMEDI) database. Dose Error Reduction Software (DERS) compliance was defined as the percentage of total intravenous infusion starts programmed using DERS rather than outside the drug library. Across the 7 hospital systems, mean DERS compliance ranged from 67% to 99%, with an overall average of approximately 81%, demonstrating substantial variability in smart pump drug library use.
Results

DERS compliance differed significantly among hospital systems (p< 0.001), with 3 systems demonstrating significantly higher compliance than system 4. At the individual hospital level, the number of drug library profiles was positively correlated with DERS compliance (P=0.029), although this relationship was no longer significant when analyzed at the hospital-system level and appeared to be influenced by 2 large systems. Smart pump type was also associated with compliance (p= 0.013), with mean compliance of 98% for pump B versus 79% for pump A, although the groups were highly imbalanced (4 vs. 40 hospitals), preventing conclusions regarding differences between pump types. 

Adverse Events Not applicable
Study Author Conclusions There are significant differences in IV smart pump compliance both within and between hospital systems. The type of IV smart pump and the number of drug library profiles may influence compliance. Further research is needed to identify factors influencing the improved safety that IV smart pumps offer.
Critique The study provides valuable insights into IV smart pump compliance across multiple hospital systems, highlighting significant differences and potential influencing factors. However, the study is limited by its reliance on vendor-reported compliance data, which may not accurately reflect true compliance. Additionally, the study does not directly correlate compliance with patient outcomes, limiting its ability to assess the impact of compliance on medication safety.
Table 1 References:
[8] Giuliano KK, Su WT, Degnan DD, Fitzgerald K, Zink RJ, DeLaurentis P. Intravenous Smart Pump Drug Library Compliance: A Descriptive Study of 44 Hospitals. J Patient Saf. 2018;14(4):e76-e82. doi:10.1097/PTS.0000000000000383

 

Development of a Standardized, Citywide Process for Managing Smart-pump Drug Libraries
Design Descriptive research report
Objective To develop and implement an interprofessional consensus-driven process for review and optimization of smart-pump drug libraries and dosing limits
Methods A work group of pharmacists, nurses, and industrial engineers used Lean Six Sigma methodologies to evaluate and optimize smart-pump drug libraries across 6 Indianapolis-area health systems. The process included reviewing dosing limits, types of alerts, policies, and safety best practices. Data analysis over a 4-year period was conducted to assess the impact of the implemented model.
Duration 4-year period
Outcome Measures Primary: Reduction in clinically insignificant alerts 
Results   Alerts per Device per Month
Before Implementation 7.2
After Implementation 3.6
 
Study Author Conclusions Through implementation of a standardized, consensus-driven process for smart-pump drug library optimization, ICPS member health systems reduced clinically insignificant smart-pump alerts.
Critique The study effectively demonstrates the benefits of a collaborative, citywide approach to standardizing smart-pump drug libraries, resulting in a significant reduction in clinically insignificant alerts. However, the lack of specific participant data and potential variability in implementation across different health systems may limit the generalizability of the findings.



Table 2 References:
[9] Walroth TA, Smallwood S, Arthur K, et al. Development of a standardized, citywide process for managing smart-pump drug libraries. Am J Health Syst Pharm. 2018;75(12):893-900. doi:10.2146/ajhp170262

The Impact of Smart Pump Interoperability on Errors in Intravenous Infusion Administrations: A Multihospital Before and After Study
Design

Observational study at a community healthcare system before and after implementing smart pump interoperability

N= 367 postintervention (200 patients)

Objective To assess the frequency, type, and severity of errors associated with intravenous medication administration before and after smart pump interoperability
Study Groups

Preintervention (n= 178 patients)

Postintervention (n= 200 patients)

Inclusion Criteria Adult inpatient settings receiving intravenous infusions, excluding those on contact precautions, epidural or patient-controlled analgesia medications
Exclusion Criteria Medications not administered using smart pumps, epidural or patient-controlled analgesia medications
Methods Point prevalence methodology was used to collect data on medication administration and errors. Observations were completed for 350 infusions preintervention and 367 postintervention. Data were collected on medication, concentration, dose, rate, and compliance with smart pump use. Errors were categorized using the NCC MERP Index.
Duration Data collection occurred over 2 days per hospital site immediately before smart pump interoperability (June to August 2017) and again approximately 1 year after (August to September 2018).
Outcome Measures

Primary: Administration error rate (severity rating of C or greater)

Secondary: Medication errors and harm involving high-risk medications

Baseline Characteristics   Preintervention (n= 178) Postintervention (n= 200)
Total infusions observed 350 367
Results   Preintervention (n= 350) Postintervention (n= 367) p-value
Total errors per 100 infusions 114.6 96.5 0.02
Administration errors per 100 infusions 41.1 32.4 0.12
Expired medication errors per 100 infusions 3.1 0.5 0.02
High-risk medication errors per 100 infusions 12.8 6.8 0.01
Continuous medication errors per 100 infusions 12.6 6.0 0.005
Adverse Events N/A
Study Author Conclusions Smart pump interoperability resulted in a 16% reduction in medication administration errors. Despite using dose error reduction software and autoprogramming, some types of errors persisted. Further studies are needed to understand how technology use can be optimized.
Critique The study demonstrated a significant reduction in medication errors with smart pump interoperability, highlighting its potential to improve patient safety. However, the observational design and limited data collection period may affect the generalizability of the results. The study was industry-sponsored, which could introduce bias. Additionally, not all hospital areas implemented the technology, potentially missing opportunities for broader impact assessment.
Table 3 References:
[10] Skog J, Rafie S, Schnock KO, Yoon C, Lipsitz S, Lew P. The Impact of Smart Pump Interoperability on Errors in Intravenous Infusion Administrations: A Multihospital Before and After Study. J Patient Saf. 2022;18(3):e666-e671. doi:10.1097/PTS.0000000000000905

Dose error reduction software in medication safety risk management – optimising the smart infusion pump dosing limits in neonatal intensive care unit prior to implementation
Design

Mixed-methods study employing both quantitative and qualitative research methods

N= 601

Objective To develop a method for defining and assessing optimal dosing limits in a neonatal intensive care unit’s smart infusion pump drug library by using simulation-type test cases developed based on medication error reports
Study Groups N/A
Inclusion Criteria Medication errors reported in the neonatal intensive care unit during 2018–2019
Exclusion Criteria N/A
Methods Quantitative descriptive analysis and qualitative content analysis of medication errors related to wrong infusion rates. Simulation-type test cases were developed based on identified error mechanisms. Upper soft limits were set using a literature-based calculation formula and evaluated through pump programming for two imaginary test patients (1 kg and 3.5 kg).
Duration Data collection: 2018-2019
Outcome Measures

Primary: Appropriateness of dosing limits in the NICU drug library

Secondary: Frequency of alerts triggered by erroneous infusion rates

Baseline Characteristics N/A
Results   Usual Dosage Erroneous Dosage Alert Triggered
10-fold error No Yes Yes
5-fold error No Yes Yes
2-fold error No Yes Partial
Mix-up between infusion rates No Yes Partial
Adverse Events N/A
Study Author Conclusions Simulation-type test cases can be applied to assess the appropriateness of dosing limits within the neonatal intensive care unit’s drug library. Combining hospital’s medication error data with other prospective data collection methods is recommended to gain a comprehensive understanding of wrong infusion rate errors.
Critique The study effectively used simulation-type test cases to optimize dosing limits, providing a proactive approach to medication safety. However, reliance on self-reported medication error data may limit the comprehensiveness of error identification. The study's applicability is limited to NICU settings, and further research is needed to evaluate the effectiveness of dosing limits post-implementation.
Table 4 References:
[11] Kuitunen S, Krkkinen K, Linden-Lahti C, Schepel L, Holmstrm AR. Dose error reduction software in medication safety risk management - optimising the smart infusion pump dosing limits in neonatal intensive care unit prior to implementation. BMC Pediatr. 2022;22(1):118. Published 2022 Mar 8. doi:10.1186/s12887-022-03183-8

 

Development of a Standardized, Citywide Process for Managing Smart-Pump Drug Libraries
Design Descriptive research report
Objective To develop and implement an interprofessional consensus-driven process for review and optimization of smart-pump drug libraries and dosing limits
Methods A work group of pharmacists, nurses, and industrial engineers used Lean Six Sigma methodologies to evaluate and optimize smart-pump drug libraries across 6 Indianapolis-area health systems. The process included reviewing dosing limits, types of alerts, policies, and safety best practices. Data analysis over a 4-year period was conducted to assess the impact of the implemented model.
Duration 4-year period
Outcome Measures Primary: Reduction in clinically insignificant alerts 
Results   Alerts per Device per Month
Before Implementation 7.2
After Implementation 3.6
Adverse Events Not specified
Study Author Conclusions Through implementation of a standardized, consensus-driven process for smart-pump drug library optimization, ICPS member health systems reduced clinically insignificant smart-pump alerts.
Critique The study effectively demonstrates the benefits of a collaborative, citywide approach to standardizing smart-pump drug libraries, resulting in a significant reduction in clinically insignificant alerts. However, the lack of specific participant data and potential variability in implementation across different health systems may limit the generalizability of the findings.



Table 5 References:
[12] Walroth TA, Smallwood S, Arthur K, et al. Development of a standardized, citywide process for managing smart-pump drug libraries. Am J Health Syst Pharm. 2018;75(12):893-900. doi:10.2146/ajhp170262
Optimizing the Use of Dose Error Reduction Software on Intravenous Infusion Pumps
Design Quality improvement project N/A
Objective To increase DERS compliance from 46% to 75% at a specialty institution by October 1, 2022
Inclusion Criteria All patients receiving medications via smart infusion pump
Exclusion Criteria Blood products and IV flush entries were excluded from compliance rate calculations
Methods An interdisciplinary group used the Model for Improvement framework and Plan-Do-Study-Act (PDSA) cycles to implement interventions such as drug library updates, education, and unit-level compliance reporting. Weekly DERS compliance and pump alerts per 100 infusions were monitored using statistical process control charts
Duration July 2018 to December 2022
Outcome Measures Primary: Weekly average DERS compliance Secondary: Weekly pump alerts per 100 infusions
Results   DERS Compliance (%) Pump Alerts per 100 Infusions
Baseline 46% 15.9
After PDSA Cycle 1 61% 6.4
After PDSA Cycles 5 and 6 67% 5.4
After PDSA Cycle 7 73% 3.9
Final 78% 3.9
Adverse Events N/A
Study Author Conclusions Continuous improvement efforts are needed to optimize the benefits of DERS technology, ensuring safe medication administration without increasing alert burden
Critique The study effectively demonstrated an increase in DERS compliance through interdisciplinary collaboration and iterative PDSA cycles. However, the lack of a control group and the specific focus on a pediatric specialty hospital may limit the generalizability of the findings to other settings. Additionally, the study did not address potential confounding factors that could have influenced compliance rates.

 

Table 6 References:
[13] Hughes K, Cole M, Tims D, et al. Optimizing the Use of Dose Error Reduction Software on Intravenous Infusion Pumps. Hosp Pediatr. 2024;14(6):448-454. doi:10.1542/hpeds.2023-007385
Evaluation of the Effect of Smart Pump Interoperability on Infusion Errors in the Pediatric Hospital Setting
Design

Two-site retrospective study

N= 309,340 (143,997 pre-implementation; 165,343 post-implementation)

Objective To compare the frequency and severity of infusion related errors before and after the implementation of smart pump interoperability at a pediatric institution
Study Groups

Pre-interoperability (n= 143,997)

Post-interoperability (n= 165,343)

Inclusion Criteria All who received medications via a smart pump were included in the analysis
Exclusion Criteria Infusions administered via a patient-controlled analgesia pump, epidural pump, or intravenously pushed without using a smart pump
Methods

Retrospective analysis of infusion errors before and after smart pump interoperability implementation. Data collected included total number of infusions, guardrail alerts, guardrail compliance, harm averted events, and high-risk overrides. Statistical analysis was performed using descriptive statistics and χ2 test for significance.

Duration January to June 2020 (pre-implementation); January to June 2022 (post-implementation)
Outcome Measures

Primary: Frequency, type, and severity of infusion errors

Secondary: Number of guardrail alert overrides, number of high-risk alert overrides, cost savings associated with potential adverse drug events averted

Baseline Characteristics   Pre-interoperability (n= 143,997) Post-interoperability (n= 165,343)
Total infusions at NCH 142,547 163,443
Total infusions at NCMC 1450 1900
Neonatal library usage 27.2% 23.7%
Results   Pre-interoperability (n= 143,997) Post-interoperability (n= 165,343) p-Value
Total harm averted events 1731 295 <0.001
Mild harm averted 735 (42%) 197 (67%) <0.001
Moderate harm averted 339 (20%) 29 (9.8%) <0.001
Severe harm averted 657 (38%) 69 (24%) <0.001
Errors caught before administration 197 20 <0.001
Guardrail alert overrides 23,751 5885 <0.001
High-risk overrides 5851 207 <0.001
Adverse Events Significant decreases in mild, moderate, and severe harm averted events after interoperability implementation. Errors caught before administration decreased significantly
Study Author Conclusions

Implementing smart pump interoperability significantly reduced the frequency and severity of infusion errors and high-risk overrides at a pediatric institution.

Critique

The study effectively demonstrates the benefits of smart pump interoperability in reducing infusion errors. However, the retrospective design and limited time frame may introduce bias and confounding variables. The study also highlights persisting errors and new errors introduced by interoperability, suggesting areas for further improvement and education.

 

Table 7 References:
[14] VanHorn T, Harris J, Mayes S, Infanti LM, Kennedy A. Evaluation of the Effect of Smart Pump Interoperability on Infusion Errors in the Pediatric Hospital Setting. J Pediatr Pharmacol Ther. 2024;29(3):323-330. doi:10.5863/1551-6776-29.3.323
Safe intravenous administration in pediatrics: A 5-year Pediatric Intensive Care Unit experience with smart pumps
Design

Observational, prospective study

N= 238 errors

Objective To estimate the impact of smart pump implementation in a pediatric intensive care unit in terms of number and type of administration errors intercepted
Study Groups All pediatric intensive care unit patients receiving infusions with infusion pumps
Inclusion Criteria Infusions delivered with infusion pumps in all pediatric intensive care unit patients
Exclusion Criteria Programmed administrations not based on the drug library
Methods Design of a drug library with safety limits for all intravenous drugs prescribed. Analysis of users’ compliance with the drug library and the number and type of errors prevented. Data were collected from the alerts generated by the safety software
Duration January 2010 to March 2015
Outcome Measures

Primary: Number and type of administration errors intercepted

Secondary: Users’ compliance with the drug library

Baseline Characteristics   All patients
Infusions delivered with infusion pumps All pediatric intensive care unit patients
Results   Total
Errors intercepted 283
High risk drug involvement 58%
Users’ compliance with safety software 84%
Adverse Events Not applicable as the study focused on error interception rather than adverse events
Study Author Conclusions Smart pumps implementation has proven effective in intercepting high risk drugs programming errors. These results might be exportable to other critical care units, involving pediatric or adult patients. Interdisciplinary collaboration is key to succeed in this process
Critique The study demonstrates the effectiveness of smart pumps in reducing programming errors, particularly with high-risk drugs. However, the study's observational design and lack of real-time data analysis may limit the understanding of the full impact of these interventions. Additionally, the study does not address the potential for errors outside the scope of the drug library, highlighting a limitation in the technology's ability to prevent all types of medication errors.

 

Table 8 References:
[15] Manrique-Rodrguez S, Snchez-Galindo AC, Fernndez-Llamazares CM, Calvo-Calvo MM, Carrillo-lvarez , Sanjurjo-Sez M. Safe intravenous administration in pediatrics: A 5-year Pediatric Intensive Care Unit experience with smart pumps. Administracin segura de medicamentos intravenosos en pediatra: 5 aos de experiencia de una Unidad de Cuidados Intensivos Peditricos con bombas de infusin inteligentes. Med Intensiva. 2016;40(7):411-421. doi:10.1016/j.medin.2016.01.011