Implementation of IT supported standardization of individualized hydrocortisone management for treatment of patients with adrenal insufficiency.

OBJECTIVES: Hydrocortisone stress dosing guidelines for children with adrenal insufficiency (AI) recommend a wide range of acceptable stress doses. This has led to variability in dosing recommendations resulting in confusion among endocrine, non-endocrine providers and patient families. This quality improvement project sought to standardize documentation and hydrocortisone stress dosing within our pediatric endocrine division to optimize communication regarding AI management. METHODS: Plan-Do-Study-Act (PDSA) cycle one aimed to address documentation of components important in AI management including body surface area (BSA), home daily dose, home stress dose, in-patient stress dose, procedure dose and crisis dose using a smart phrase within the electronic health record (EHR). To automate the process, PDSA cycle two introduced two smart buttons within the endocrine notes. PDSA cycle three focused on standardizing hydrocortisone stress doses. RESULTS: Initial documentation targets were met for all AI management components except for the crisis dose. The second target was only met for the home stress dose. Implementing the smart buttons aided in reaching the second target for home daily and home stress doses. Dose standardization targets were achieved in all categories except for the on-going crisis dose. A follow up survey after an in-service for non-endocrine providers showed increased knowledge of locating hydrocortisone stress dosing recommendations within the EHR. CONCLUSIONS: With the assistance of technology, this quality improvement project ultimately enhanced communication through the standardization of documentation and individualized hydrocortisone stress dosing for children with AI. Although not all secondary targets were met, there was meaningful improvement in documentation and stress dose standardization compliance.

Electronic Dashboard to Improve Outcomes in Pediatric Patients With Type 1 Diabetes Mellitus.

BACKGROUND AND OBJECTIVES: Incidence of type 1 diabetes mellitus (T1DM) is increasing, and these patients often have poor glycemic control. Electronic dashboards summating patient data have been shown to improve patient outcomes in other conditions. In addition, educating patients on T1DM has shown to improve glycated hemoglobin (A1C) levels. We hypothesized that using data from the electronic dashboard to monitor defined diabetes management activities to implement population-based interventions would improve patient outcomes. METHODS: Inclusion criteria included patients aged 0 to 18 years at Phoenix Children's Hospital with T1DM. Patient data were collected via the electronic dashboard, and both diabetes management activities (A1C, patient admissions, and visits to the emergency department) and patient outcomes (patient education, appointment compliance, follow-up after hospital admission) were analyzed. RESULTS: This study revealed that following implementation of the electronic dashboard, the percentage of patients receiving appropriate education increased from 48% to 80% (Z-score = 23.55, P < .0001), the percentage of patients attending the appropriate number of appointments increased from 50% to 68.2%, and the percentage of patients receiving follow-up care within 40 days after a hospital admission increased from 43% to 70%. The median A1C level decreased from 9.1% to 8.2% (Z-score = -6.74, P < .0001), and patient admissions and visits to the emergency department decreased by 20%. CONCLUSIONS: This study shows, with the implementation of an electronic dashboard, we were able to improve outcomes for our pediatric patients with T1DM. This tool can be used at other institutions to improve care and outcomes for pediatric patients with T1DM and other chronic conditions.

Machine learning model for early prediction of acute kidney injury (AKI) in pediatric critical care.

BACKGROUND: Acute kidney injury (AKI) in pediatric critical care patients is diagnosed using elevated serum creatinine, which occurs only after kidney impairment. There are no treatments other than supportive care for AKI once it has developed, so it is important to identify patients at risk to prevent injury. This study develops a machine learning model to learn pre-disease patterns of physiological measurements and predict pediatric AKI up to 48 h earlier than the currently established diagnostic guidelines. METHODS: EHR data from 16,863 pediatric critical care patients between 1 month to 21 years of age from three independent institutions were used to develop a single machine learning model for early prediction of creatinine-based AKI using intelligently engineered predictors, such as creatinine rate of change, to automatically assess real-time AKI risk. The primary outcome is prediction of moderate to severe AKI (Stage 2/3), and secondary outcomes are prediction of any AKI (Stage 1/2/3) and requirement of renal replacement therapy (RRT). Predictions generate alerts allowing fast assessment and reduction of AKI risk, such as: "patient has 90% risk of developing AKI in the next 48 h" along with contextual information and suggested response such as "patient on aminoglycosides, suggest check level and review dose and indication". RESULTS: The model was successful in predicting Stage 2/3 AKI prior to detection by conventional criteria with a median lead-time of 30 h at AUROC of 0.89. The model predicted 70% of subsequent RRT episodes, 58% of Stage 2/3 episodes, and 41% of any AKI episodes. The ratio of false to true alerts of any AKI episodes was approximately one-to-one (PPV 47%). Among patients predicted, 79% received potentially nephrotoxic medication after being identified by the model but before development of AKI. CONCLUSIONS: As the first multi-center validated AKI prediction model for all pediatric critical care patients, the machine learning model described in this study accurately predicts moderate to severe AKI up to 48 h in advance of AKI onset. The model may improve outcome of pediatric AKI by providing early alerting and actionable feedback, potentially preventing or reducing AKI by implementing early measures such as medication adjustment.

Inhaled corticosteroids prescriptions increased in the ED for recurrent asthma exacerbations by automated electronic reminders in the ED.

Objective: The objective of this study was to evaluate the impact of an electronic alert on the prescription rate of inhaled corticosteroids (ICS) by ED providers for poorly controlled persistent asthmatic children.Methods: Study subjects included asthmatic patients age 4-18 presenting to the ED at Phenix Children's Hospital between February 9, 2018 and December 4, 2018, with a history of at least two previous ED visits for acute exacerbation of asthma within 365 days, no active ICS prescription within 90 days, and free from developmental delay, bronchopulmonary dysplasia due to prematurity, cystic fibrosis, sickle cell disease, and/or interstitial ling disease. Patients meeting these criteria triggered an electronic alert prompting the medical provider to prescribe ICS or indicate reason for not prescribing. Instruction on the alert was provided to ED attending physicians and residents by email and through several educational sessions held prior to the implementation.Results: Among 62 patients without prior ICS who were discharged home from the ED, ICS was prescribed for 48 (77%). No statistically significant differences were detected in baseline characteristics between patients discharged home from the ED with and without ICS prescription. While ICS was prescribed by a larger proportion of physicians (56%) compared to residents (42%), statistical significance was not reached. For the 14 (33%) patients who were discharged home without ICS, no reason was provided to indicate why ICS were not prescribed.Conclusion: An electronic alert incorporated into the ED workflow to populate a discharge order set is effective to initiate asthma controller medication for poorly controlled pediatric patients. Additional data describing reasons for not prescribing ICS can further refine recommendations for ICS prescriptions, and provide a comprehensive strategy to support clinical decision for pediatric asthma control in acute care settings.

Computerized Dose Range Checking Using Hard and Soft Stop Alerts Reduces Prescribing Errors in a Pediatric Intensive Care Unit.

OBJECTIVE: An enhanced dose range checking (DRC) system was developed to evaluate prescription error rates in the pediatric intensive care unit and the pediatric cardiovascular intensive care unit. METHODS: An enhanced DRC system incorporating "soft" and "hard" alerts was designed and implemented. Practitioner responses to alerts for patients admitted to the pediatric intensive care unit and the pediatric cardiovascular intensive care unit were retrospectively reviewed. RESULTS: Alert rates increased from 0.3% to 3.4% after "go-live" (P < 0.001). Before go-live, all alerts were soft alerts. In the period after go-live, 68% of alerts were soft alerts and 32% were hard alerts. Before go-live, providers reduced doses only 1 time for every 10 dose alerts. After implementation of the enhanced computerized physician order entry system, the practitioners responded to soft alerts by reducing doses to more appropriate levels in 24.7% of orders (70/283), compared with 10% (3/30) before go-live (P = 0.0701). The practitioners deleted orders in 9.5% of cases (27/283) after implementation of the enhanced DRC system, as compared with no cancelled orders before go-live (P = 0.0774). Medication orders that triggered a soft alert were submitted unmodified in 65.7% (186/283) as compared with 90% (27/30) of orders before go-live (P = 0.0067). After go-live, 28.7% of hard alerts resulted in a reduced dose, 64% resulted in a cancelled order, and 7.4% were submitted as written. CONCLUSIONS: Before go-live, alerts were often clinically irrelevant. After go-live, there was a statistically significant decrease in orders that were submitted unmodified and an increase in the number of orders that were reduced or cancelled.

Computerisation of a paper-based intravenous insulin protocol reduces errors in a prospective crossover simulated tight glycaemic control study.

BACKGROUND: Paper-based continuous intravenous insulin protocols for tight glycaemic control (TGC) are typically complex, error-prone, time-consuming and burdensome. Little is known about the errors that occur as a result of misinterpretation and whether computerised protocols reduce errors. OBJECTIVE: To compare the errors resulting from protocol misinterpretation, time required to manage insulin infusions and nursing satisfaction between a computerised insulin protocol and a paper-based protocol. METHODS: In a crossover study, 62 ICU nurses completed 10 TGC simulated scenarios for the computerised and paper protocols. Scenarios evaluated three phases of insulin management: initiation, titration and transition. Scenarios response errors, time to completion and user satisfaction were examined. RESULTS: A total of 620 responses were recorded using both protocols. The computerised protocols were associated with higher user satisfaction, as well as: fewer errors in the titration (13 vs. 113 errors, p=.0001) and transition phases (9 vs. 23 errors, p=.001), fewer dosing errors, although not statistically significant (p=.096), in the initiation phase, and less time to complete in the titration phase (6 vs. 9.5 min, p=.0001). CONCLUSIONS: In a simulated environment, a computerised protocol for TGC resulted in significant insulin dosing error reduction, saved time and improved nurse satisfaction.

Impact of computerized orders for pediatric continuous drug infusions on detecting infusion pump programming errors: a simulated study.

Continuous infusion medications are associated with fatal adverse events in pediatric intensive care units. The effect of computerized orders on detecting infusion pumps programming errors has never been studied. Using a crossover design, we examined the effect of using computerized orders for continuous infusions as compared with that of using handwritten orders on nurse ability to detect infusion pump programming errors, time required to verify pump settings, and user satisfaction. The computerized orders saved nurses time but did not improve their ability to detect infusion pumps programming errors. Nurses preferred computerized orders. High error rate was related to manual calculations and inconsistent use of computerized orders.

Implementation and evaluation of a comprehensive system to deliver pediatric continuous infusion medications with standardized concentrations.

PURPOSE: The development, implementation, and evaluation of a comprehensive pediatric medication management system based on computerized orders with standardized concentrations for pediatric continuous infusions are described. SUMMARY: To attain the Joint Commission mandate of using a few standardized concentrations for pediatric continuous infusion medications, a multidisciplinary team at the University of Maryland Medical Center pediatric intensive care unit restructured the medication management of continuous infusions from the handwritten rule-of-6 method to computerized orders with standardized concentrations. Development of the new system required creating a mathematical algorithm to automatically produce two to four standardized concentrations for 39 continuous infusion medications used in pediatrics, incorporating mnemonics that represent standard drug concentrations into the pharmacy medication-processing system, designing a computerized provider-order-entry program, and introducing smart infusion pumps that were programmed with standardized concentrations. System creation and implementation were completed hospitalwide over 16 months. The system successfully determined two to four standardized concentrations for each continuous infusion medication and allowed application of consistent dose, weight, and fluid restrictions when determining standardized concentrations. Preimplementation and postimplementation evaluation revealed that the new system eliminated several types of medication errors and was well received by all health care team members in pediatrics units. CONCLUSION: A technology-based, scientific, comprehensive yet simplified solution to attain the Joint Commission mandate concerning standardized concentrations was developed, implemented, and evaluated. The system successfully determined a limited number of concentrations for each continuous infusion medication for pediatrics and improved safety by eliminating medication errors when delivering these medications.

Computerized orders with standardized concentrations decrease dispensing errors of continuous infusion medications for pediatrics.

OBJECTIVES: The use of continuous infusion medications with individualized concentrations may increase the risk for errors in pediatric patients. The objective of this study was to evaluate the effect of computerized prescriber order entry (CPOE) for continuous infusions with standardized concentrations on frequency of pharmacy processing errors. In addition, time to process handwritten versus computerized infusion orders was evaluated and user satisfaction with CPOE as compared to handwritten orders was measured. METHODS: Using a crossover design, 10 pharmacists in the pediatric satellite within a university teaching hospital were given test scenarios of handwritten and CPOE order sheets and asked to process infusion orders using the pharmacy system in order to generate infusion labels. Participants were given three groups of orders: five correct handwritten orders, four handwritten orders written with deliberate errors, and five correct CPOE orders. Label errors were analyzed and time to complete the task was recorded. RESULTS: Using CPOE orders, participants required less processing time per infusion order (2 min, 5 sec ± 58 sec) compared with time per infusion order in the first handwritten order sheet group (3 min, 7 sec ± 1 min, 20 sec) and the second handwritten order sheet group (3 min, 26 sec ± 1 min, 8 sec), (p<0.01). CPOE eliminated all error types except wrong concentration. With CPOE, 4% of infusions processed contained errors, compared with 26% of the first group of handwritten orders and 45% of the second group of handwritten orders (p<0.03). Pharmacists were more satisfied with CPOE orders when compared with the handwritten method (p=0.0001). CONCLUSIONS: CPOE orders saved pharmacists' time and greatly improved the safety of processing continuous infusions, although not all errors were eliminated. pharmacists were overwhelmingly satisfied with the CPOE orders.

Dissecting multidisciplinary cardiac surgery rounds.

BACKGROUND: Multidisciplinary rounds in the critical care environment have demonstrated increased communication, a reduction in medical errors, a shorter hospital stay, and consequently, economic savings. We attempt to assess the cost of this intervention, and to review the time utilization of professionals participating in the process. METHODS: We analyzed video-recorded weekly multidisciplinary teaching rounds on cardiac patients in a pediatric intensive care unit (n = 22). Rounding time was categorized as presentation or discussion and was measured in minutes. The cost of a round was calculated by multiplying the hourly salary of all healthcare professionals present by the time spent rounding and measured in US dollars. RESULTS: Median rounding time per patient was 15 minutes (range, 5 to 29). Patient presentation took between 2 and 8 minutes (median 4), or 26% of the rounding time. Time needed for discussion, including teaching and planning, varied between 2 and 25 minutes (median 10.5). Median number of participants was 13.5 (range, 11 and 16). Mean cost in salaries per patient rounded was $140.87 (95% confidence interval: $106.80 to $174.90). CONCLUSIONS: Multidisciplinary rounds are a low-cost medical intervention with proven benefits. Available tools and rounding cultural changes should be adopted to shorten data retrieval and presentation time to the benefit of discussion and teaching. Current billing requirements for rounding multidisciplinary teams do not reflect the realities of their time use.

Development of an observational tool on computer use during rounds.

We present an observational tool to capture computer usage patterns during rounds to inform designs of information and communication technology to support clinical discourse during rounds. The tool captures choreography and logistics of information exchanges supported by clinical information systems during rounds. We developed the tool as part of an ongoing video-recording study of communication to under-stand how, when, and why computers are used during multidisciplinary clinical rounds.

A computing platform to support communication and sense-making in intensive care.

We developed a conceptual design of a mobile computing platform to support multi-disciplinary rounds in intensive care units.

Communication and sense-making in intensive care: an observation study of multi-disciplinary rounds to design computerized supporting tools.

Multi-disciplinary rounds are a forum for communication and sense-making, and they play a critical role in intensive care to ensure care coordination across specialties and providers. Increased availability of clinical information through computers has made it possible to provide support during rounds. We conducted an observation study to determine ways in which computers may be used during rounds, when users are under time pressure in accessing and manipulating clinical data. A total of fifteen hours of rounds in a pediatric intensive care unit for 47 patients were observed. Factors influencing information transfer during rounds were characterized in three areas: physical, social and cognitive, and supporting artifacts. Based on these factors we developed a set of design guidelines for computerized supporting tools. An example guideline suggests digital capture of handwritten notes. These guidelines developed may help guide future systems development, thus leveraging the power of computing during the critical moments of multi-disciplinary rounds.

Top barriers and facilitators to nurses' PDA adoption.

A web-based survey was employed to identify barriers and facilitators to nurses' PDA adoption. Based on the top barriers and facilitators identified, implications for PDA manufacturers and hospitals are discussed.

A comparison of medication administrations errors using CPOE orders vs. handwritten orders for pediatric continuous drug infusions.

Continuous drug infusions in critically ill patients are associated with a high error rate. Although CPOE systems have shown to reduce prescribing errors, the effect on administration errors has not been studied in pediatric ICU patients. We studied this by measuring the ability of nurses to detect medication administration errors using CPOE orders versus handwritten orders for continuous drug infusions.

Evaluating the safety and efficiency of a CPOE system for continuous medication infusions in a pediatric ICU.

Critically ill children often require continuous intravenous infusions of life-supporting medications. The complexity of ordering such infusions makes this an error prone process, and such errors can result in serious adverse events. A CPOE system was developed and evaluated to assess its impact on the safety and efficiency of prescribing continuous medication infusions.