Assessing the Utility of a Machine-Learning Model to Assist With the Assignment of the American Society of Anesthesiology Physical Status Classification in Pediatric Patients.

BACKGROUND: The American Society of Anesthesiologists Physical Status Classification System (ASA-PS) is used to classify patients' health before delivering an anesthetic. Assigning an ASA-PS Classification score to pediatric patients can be challenging due to the vast array of chronic conditions present in the pediatric population. The specific aims of this study were to (1) suggest an ASA-PS score for pediatric patients undergoing elective surgical procedures using machine-learning (ML) methods; and (2) assess the impact of presenting the suggested ASA-PS score to clinicians when making their final ASA-PS assignment. The intent was not to create a new ASA-PS score but to use ML methods to generate a suggested score, along with information on how the score was generated (ie, historical information on patient comorbidities) to assist clinicians when assigning their final ASA-PS score. METHODS: A retrospective analysis of 146,784 pediatric surgical encounters from January 1, 2016, to December 31, 2019, using eXtreme Gradient Boosting (XGBoost) methods to predict ASA-PS scores using patients' age, weight, and chronic conditions. SHapley Additive exPlanations (SHAP) were used to assess patient characteristics that contributed most to the predicted ASA-PS scores. The predicted ASA-PS model was presented to a prospective cohort study of 28,677 surgical encounters from December 1, 2021, to October 31, 2022. The predicted ASA-PS score was presented to the anesthesiology provider for review before entering the final ASA-PS score. The study focused on summarizing the available information for the anesthesiologist by using ML methods. The goal was to explore the potential for ML to provide assistance to anesthesiologists by highlighting potential areas of discordance between the variables that generated a given ML prediction and the physician's mental model of the patient's medical comorbidities. RESULTS: For the retrospective analysis, the distribution of predicted ASA-PS scores was 22.7% ASA-PS I, 48.5% II, 23.6% III, 5.1% IV, and 0.04% V. The distribution of clinician-assigned ASA-PS scores was 24.3% for ASA-PS I, 44.5% for ASA-PS II, 24.9% for ASA III, 6.1% for ASA-PS IV, and 0.2% for ASA-V. In the prospective analysis, the final ASA-PS score matched the initial ASA-PS 90.7% of the time and 9.3% were revised after viewing the predicted ASA-PS score. When the initial ASA-PS score and the ML ASA-PS score were discrepant, 19.5% of the cases have a final ASA-PS score which is different from the initial clinician ASA-PS score. The prevalence of multiple chronic conditions increased with ASA-PS score: 34.9% ASA-PS I, 73.2% II, 92.3% III, and 94.4% IV. CONCLUSIONS: ML derivation of predicted pediatric ASA-PS scores was successful, with a strong agreement between predicted and clinician-entered ASA-PS scores. Presentation of predicted ASA-PS scores was associated with revision in final scoring for 1-in-10 pediatric patients.

Variability in Resource Utilization in the Evaluation and Management of Simple Febrile Seizures Inpatients in US Children's Hospitals.

OBJECTIVE: To characterize resource utilization in the evaluation and treatment of hospitalized simple febrile seizure (SFS) patients in US tertiary pediatric hospitals. METHODS: This is a retrospective cohort study using the Pediatric Health Information System from 2010 to 2015. Children 6 months to 5 years of age who were inpatients with a diagnosis of SFS. Children who had brain magnetic resonance imaging (MRI), electroencephalography (EEG), or received anticonvulsants were compared with those who did not have testing or anticonvulsant treatment. Hospital-level variation in the utilization rates of MRI, EEG, or treatment with anticonvulsants was also evaluated. RESULTS: In Pediatric Health Information System-participating institutions, 8.4% (n=3640) of children presenting to the emergency department with SFS were hospitalized. Among these SFS inpatients, 57.8% (n= 2104) did not receive further evaluation with MRI/EEG or treatment with anticonvulsants. There was evidence of wide inter-hospital variation in resource utilization rates. The median (interquartile range) utilization rate was 6.2% (3.0 to 11.0%) for MRI, 28.5% (16.0 to 46.3%) for EEG and 17.1% (10.9 to 22.3%) for treatment with anticonvulsants. CONCLUSION: No specific hospital-level factors were identified that contributed to the variation in resource utilization in the evaluation and management of hospitalized SFS patients.

Preoperative hematocrit and platelet count are associated with blood loss during spinal fusion for children with neuromuscular scoliosis.

AIM: To assess the relationship of preoperative hematology laboratory results with intraoperative estimated blood loss and transfusion volumes during posterior spinal fusion for pediatric neuromuscular scoliosis. METHODS: Retrospective chart review of 179 children with neuromuscular scoliosis undergoing spinal fusion at a tertiary children's hospital between 2012 and 2017. The main outcome measure was estimated blood loss. Secondary outcomes were volumes of packed red blood cells, fresh frozen plasma, and platelets transfused intraoperatively. Independent variables were preoperative blood counts, coagulation studies, and demographic and surgical characteristics. Relationships between estimated blood loss, transfusion volumes, and independent variables were assessed using bivariable analyses. Classification and Regression Trees were used to identify variables most strongly correlated with outcomes. RESULTS: In bivariable analyses, increased estimated blood loss was significantly associated with higher preoperative hematocrit and lower preoperative platelet count but not with abnormal coagulation studies. Preoperative laboratory results were not associated with intraoperative transfusion volumes. In Classification and Regression Trees analysis, binary splits associated with the largest increase in estimated blood loss were hematocrit ≥44% vs. <44% and platelets ≥308 vs. <308 × 109/L. CONCLUSIONS: Preoperative blood counts may identify patients at risk of increased bleeding, though do not predict intraoperative transfusion requirements. Abnormal coagulation studies often prompted preoperative intervention but were not associated with increased intraoperative bleeding or transfusion needs.

Hospital Volumes of Inpatient Pediatric Surgery in the United States.

BACKGROUND: Perioperative outcomes of children depend on the skill and expertise in managing pediatric patients, as well as integration of surgical, anesthesiology, and medical teams. We compared the types of pediatric patients and inpatient surgical procedures performed in low- versus higher-volume hospitals throughout the United States. METHODS: Retrospective analysis of 323,258 hospitalizations with an operation for children age 0 to 17 years in 2857 hospitals included in the Agency for Healthcare Research and Quality (AHRQ) Kids' Inpatient Database (KID) 2016. Hospitals were categorized by their volume of annual inpatient surgical procedures. Specific surgeries were distinguished with the AHRQ Clinical Classification System. We assessed complex chronic conditions (CCCs) using Feudtner and Colleagues' system. RESULTS: The median annual volume of pediatric inpatient surgeries across US hospitals was 8 (interquartile range [IQR], 3-29). The median volume of inpatient surgeries for children with a CCC was 4 (IQR, 1-13). Low-volume hospitals performed significantly fewer types of surgeries (median 2 vs 131 types of surgeries in hospitals with 1-24 vs ≥2000 volumes). Appendectomy and fixation of bone fracture were among the most common surgeries in low-volume hospitals. As the volume of surgical procedures increased from 1 to 24 to ≥2000, the percentage of older children ages 11 to 17 years decreased (70.9%-32.0% [P < .001]) and the percentage of children with a CCC increased (11.2%-60.0% [P < .001]). CONCLUSIONS: Thousands of US hospitals performed inpatient surgeries on few pediatric patients, including those with CCCs who have the highest risk of perioperative morbidity and mortality. Evaluation of perioperative decision making, workflows, and pediatric clinicians in low- and higher-volume hospitals is warranted.

The Pediatric-Specific American Society of Anesthesiologists Physical Status Score: A Multicenter Study.

BACKGROUND: When applied to the pediatric population, the American Society of Anesthesiologists physical status (ASA-PS) classification has exhibited poor reliability due to its subjective and adult-focused definitions. This study was done to measure interrater agreement of a pediatric-adapted ASA-PS classification and to solicit multicenter perspectives to optimize the pediatric ASA-PS classification. METHODS: A prospective, mixed-methods study of 197 pediatric anesthesiologists from 13 academic pediatric hospitals in the United States, Europe, and Australia surveyed in May and July 2019. Participants assigned ASA-PS scores (I to V) for 15 pediatric cases with a heterogeneous mix of acute and chronic health conditions undergoing a variety of surgical and related procedures. Pediatric-adapted definitions of ASA-PS were provided. The intraclass correlation coefficient (ICC) was used to assess interrater reliability of ASA-PS scores. The ICC was estimated using 2-way mixed-effects modeling, accounting for multiple raters assigning scores for the same set of cases. Qualitative feedback on the pediatric-adapted ASA-PS classification was analyzed with line-by-line coding. RESULTS: The survey response rate was 83.8% (165 of 197). The ICC agreement among participants on ASA-PS scoring across all 15 clinical cases was 0.58 (95% confidence interval [CI], 0.42-0.77). ICC did not vary significantly by years of anesthesiology practice. ICC varied across hospitals (range: 0.34; 95% CI, 0.12-0.63 to 0.79; 95% CI, 0.66-0.91). The highest level of agreement occurred with cases most often scored as ASA-PS I, IV, and V; the lowest agreement occurred with cases most often scored ASA-PS II and III. Clarification of how well a chronic condition was controlled and presence of an acute illness were 2 common themes suggested to optimize the validity of the pediatric-adapted ASA-PS definitions. CONCLUSIONS: The pediatric-adapted ASA-PS classification had moderate interrater reliability among pediatric anesthesiologists. The lower reliability of scoring for ASA-PS II and III cases, in particular, supports the need for further ASA-PS definition refinement for pediatric populations.

Comprehensive Risk Assessment of Morbidity in Pediatric Patients Undergoing Noncardiac Surgery: An Institutional Experience.

BACKGROUND: Utilizing the intrinsic surgical risk (ISR) and the patient's chronic and acute conditions, this study aims to develop and validate a comprehensive predictive model of perioperative morbidity in children undergoing noncardiac surgery. METHODS: Following institutional review board (IRB) approval at a tertiary care children's hospital, data for all noncardiac surgical encounters for a derivation dataset from July 2017 to December 2018 including 16,724 cases and for a validation dataset from January 2019 to December 2019 including 9043 cases were collected retrospectively. The primary outcome was a composite morbidity score defined by unplanned transfer to an intensive care unit (ICU), acute respiratory failure requiring intubation, postoperative need for noninvasive or invasive positive pressure ventilation, or cardiac arrest. Internal model validation was performed using 1000 bootstrap resamples, and external validation was performed using the 2019 validation cohort. RESULTS: A total of 1519 surgical cases (9.1%) experienced the defined composite morbidity. Using multivariable logistic regression, the Risk Assessment of Morbidity in Pediatric Surgery (RAMPS) score was developed with very good predictive ability in the derivation cohort (area under the curve [AUC] = 0.805; 95% confidence interval [CI], 0.795-0.816), very good internal validity using 1000 bootstrap resamples (bias-corrected Nagelkerke R = 0.21 and Brier score = 0.07), and good external validity (AUC = 0.783; 95% CI, 0.770-0.797). The included variables are age <5 years, critically ill, chronic condition indicator (CCI) ≥3, significant CCI ≥2, and ISR quartile ≥3. The RAMPS score ranges from 0 to 10, with the risk of composite morbidity ranging from 1.8% to 42.7%. CONCLUSIONS: The RAMPS score provides the ability to identify a high-risk cohort of pediatric patients using a 5-component tool, and it demonstrated good internal and external validity and generalizability. It also provides an opportunity to improve perioperative planning with the intent of improving both individual-patient outcomes and the appropriate allocation of health care resources.

One Size Does Not Fit All: A Perspective on the American Society of Anesthesiologists Physical Status Classification for Pediatric Patients.

BACKGROUND: The American Society of Anesthesiologists physical status (ASA-PS) classification system is used worldwide to classify patients based on comorbid conditions before general anesthesia. Despite its popularity, the ASA-PS classification system has been shown to have poor interrater reliability due to its subjective definitions, especially when applied to the pediatric population. We hypothesized that the clarification of ASA-PS definitions to better reflect pediatric conditions would improve the accuracy of ASA-PS applied to this population. METHODS: A stratified, randomized sample of 120 pediatric surgical cases was collected from a tertiary-care pediatric hospital. A team of senior anesthesiologists reclassified ASA-PS within this patient sample using the suggested pediatric-specific ASA-PS definitions. Interrater reliability was measured using intraclass correlation (ICC) and Fleiss κ statistic. In addition, a qualitative study component using small focus groups of senior anesthesiologists identified areas of ambiguity within the ASA-PS system. RESULTS: Among the 90 reclassifications within each ASA-PS group, 42.2% (n = 38) of ASA-PS I were upgraded to ASA-PS II, and 36.7% (n = 33) of ASA-PS II were upgraded to ASA-PS III. In addition, 28.9% (n = 26) of ASA-PS III were upgraded to ASA-PS IV, and 24.4% (n = 22) of ASA-PS IV were downgraded to III. ICC across the reclassified ASA-PS categories was 0.77 (95% confidence interval [CI], 0.71-0.83; P < .001) demonstrating strong overall agreement. Fleiss κ statistic was lowest in ASA-PS II and III patients (κ = 0.41 and κ = 0.30, respectively) indicating lower agreement beyond chance within these subgroups. Focus groups revealed common themes such as active sequelae of disease, active versus well-controlled presence of comorbidities, and the possible inclusion of functional limitations as important considerations. CONCLUSIONS: The ASA-PS classification system has several benefits including ease-of-use, simplicity, and flexibility. However, revising the ASA-PS system to provide better guidance for pediatric patients could be valuable. While this study demonstrates good interrater reliability with the included ASA-PS pediatric definitions, further work is needed to clarify accurate assignment of ASA-PS within the midrange of the scale (ASA-PS II and III) and explore its implementation in other institutions.

Pediatric complex care and surgery comanagement: Preparation for spinal fusion.

The aim of this study is to assess the impact of preoperative comanagement with complex care pediatricians (CCP) on children with neuromuscular scoliosis undergoing spinal fusion. We performed chart review of 79 children aged 5-21 years undergoing spinal fusion 1/2014-6/2016 at a children's hospital, with abstraction of clinical documentation from preoperative health evaluations performed regularly by anesthesiologists and irregularly by a CCP. Preoperative referrals to specialists, labs, tests, and care plans needed last minute for surgical clearance were measured. The mean age at surgery was 14 (SD 3) years; cerebral palsy (64%) was the most common neuromuscular condition. Thirty-nine children (49%) had a preoperative CCP evaluation a median 63 days (interquartile range (IQR) 33-156) before the preanesthesia visit. Children with CCP evaluation had more organ systems affected by coexisting conditions than children without an evaluation (median 11 (IQR 9-12) vs. 8 (IQR 5-11); p < .001). The rate of last-minute care coordination activities required for surgical clearance was lower for children with versus without CCP evaluation (1.8 vs. 3.6). A lower percentage of children with CCP evaluation required last-minute development of new preoperative plans (26% vs. 50%, p = .002). Children with CCP involvement were better prepared for surgery, requiring fewer last-minute care coordination activities for surgical clearance.

Predicting Postoperative Physiologic Decline After Surgery.

BACKGROUND: Projecting postoperative recovery in pediatric surgical patients is challenging. We assessed how the patients' number of complex chronic conditions (CCCs) and chronic medications interacted with active health issues to influence the likelihood of postoperative physiologic decline (PoPD). METHODS: A prospective study of 3295 patients undergoing elective surgery at a freestanding children's hospital. During preoperative clinical evaluation, active health problems, CCCs, and medications were documented. PoPD (compromise of cardiovascular, respiratory, and/or neurologic systems) was measured prospectively every 4 hours by inpatient nurses. PoPD odds were estimated with multivariable logistic regression. Classification and regression tree analysis distinguished children with the highest and lowest likelihood of PoPD. RESULTS: Median age at surgery was 8 years (interquartile range: 2-15); 2336 (70.9%) patients had a CCC; and 241 (7.3%) used ≥11 home medications. During preoperative evaluation, 1556 (47.2%) patients had ≥1 active health problem. After surgery, 882 (26.8%) experienced PoPD. The adjusted odds of PoPD were 1.2 (95% confidence interval [CI]: 1.0-1.4) for presence versus absence of an active health problem; 1.4 (95% CI: 1.0-1.9) for ≥11 vs 0 home medications; and 2.2 (95% CI: 1.7-2.9) for ≥3 vs 0 CCCs. In classification and regression tree analysis, the lowest rate of PoPD (8.6%) occurred in children without an active health problem at the preoperative evaluation; the highest rate (57.2%) occurred in children with a CCC who used ≥11 home medications. CONCLUSIONS: Greater than 1 in 4 pediatric patients undergoing elective surgery experienced PoPD. Combinations of active health problems at preoperative evaluation, polypharmacy, and multimorbidity distinguished patients with a low versus high risk of PoPD.

Implementing a Pediatric Perioperative Surgical Home Integrated Care Coordination Pathway for Laryngeal Cleft Repair.

BACKGROUND: The Pediatric Perioperative Surgical Home (PPSH) model is an integrative care model designed to provide better patient care and value by shifting focus from the patient encounter level to the overarching surgical episode of care. So far, no PPSH model has targeted a complex airway disorder. It was hypothesized that the development of a PPSH for laryngeal cleft repair would reduce the high rates of postoperative resource utilization observed in this population. METHODS: Institutional review board approval was obtained for the purpose of data collection and analysis. A multidisciplinary team of anesthesiologists, surgeons, nursing staff, information technology specialists, and finance administrators was gathered during the PPSH development phase. Standardized perioperative (preoperative, intraoperative, and postoperative) protocols were developed, with a focus on preoperative risk stratification. Patients presenting before surgery with ≥1 predefined medical comorbidity were triaged to the intensive care unit (ICU) postoperatively, while patients without severe systemic disease were triaged to a lower-acuity floor for overnight observation. The success of the PPSH protocol was defined by quality outcome and value measurements. RESULTS: The PPSH initiative included 120 patients, and the pre-PPSH period included 115 patients who underwent laryngeal cleft repair before implementation of the new process. Patients in the pre-PPSH period were reviewed and classified as ICU candidates or lower acuity floor candidates had they presented in the post-PPSH period. Among the 79 patients in the pre-PPSH period who were identified as candidates for the lower-acuity floor transfer, 70 patients (89%) were transferred to the ICU (P < .001). Retrospective analysis concluded that 143 ICU bedded days could have been avoided in the pre-PPSH group by using PPSH risk stratification. Surgery duration (P = .034) and hospital length of stay (P = .015) were found to be slightly longer in the group of pre-PPSH observation unit candidates. Rates of 30-day unplanned readmissions to the hospital were not associated with the new PPSH initiative (P = .093). No patients in either group experienced emergent postoperative intubation or other expected complications. Total hospital costs were not lower for PPSH observation unit patients as compared to pre-PPSH observation unit candidates (difference = 8%; 95% confidence interval, -7% to 23%). CONCLUSIONS: A well-defined preoperative screening protocol for patients undergoing laryngeal cleft repair can reduce postoperative ICU utilization without affecting patient safety. Further research is needed to see if these findings are applicable to other complex airway surgeries.

Medication errors in a pediatric anesthesia setting: Incidence, etiologies, and error reduction strategies.

STUDY OBJECTIVE: The objective of the study was to: a) characterize the frequency, type, and outcome of anesthetic medication errors spanning an 8.5-year period, b) describe the targeted error reduction strategies and c) measure the effects, if any, of a focused, continuous, multifaceted Medication Safety Program. DESIGN: Retrospective analysis. SETTING: All anesthetizing locations (57). PATIENTS: All anesthesia patients at all Boston Children's Hospital anesthetizing locations from January 2008 to June 2016 were included. INTERVENTIONS: Medication libraries, zero-tolerance philosophy, independent verification, trainee education, standardized dosing; retrospective study. MEASUREMENTS: Number and type of medication errors. MAIN RESULTS: 105 medication errors were identified among the 287,908 cases evaluated during the study period. Incorrect dose (55%) and incorrect medication (28%) were the most frequently observed errors. Beginning within 3 years of the implementation of the 2009 Medication Safety Program, the incidence declined to an average of 3.0 per 10,000 cases in the years from 2010 to 2016 (57% reduction) and declined to an average of only 2.2 per 10,000 cases since 2012 (69% reduction). Logistic regression indicated a 13% reduction per year in the odds of a medication error over the time period (odds ratio = 0.87, 95% CI: 0.79-0.95, P = 0.004). CONCLUSIONS: Although medication errors persisted, there was a statistically significant reduction in errors during the study period. Formalized Medication Safety Programs should be adopted by other departments and institutions; these Programs could help prevent medication errors and decrease their overall incidence.

The Anesthesia Perioperative "Call for Help"-Experience at a Quaternary Pediatric Medical Center: Analysis of 67,564 Anesthesia Encounters.

BACKGROUND: During the past several decades, anesthesia has become increasingly safe. Truly major adverse events are rare, and anesthesia quality researchers have instituted programs to evaluate "near miss" or less critical adverse events to evaluate the safety of anesthesia delivery. In this study, we aimed to evaluate calls for emergency help in our institution as a surrogate for pending critical events. We hypothesized that calls would be more common in patients with high American Society of Anesthesiologists (ASA) physical status, history of prematurity, and children with recent respiratory illness compared to those without these characteristics. METHODS: We analyzed emergent calls for help initiated by perioperative personnel ("STAT" calls) between August 2011 and September 2015 at Boston Children's Hospital. Our analysis had 2 phases: (1) All 193 STAT calls that occurred during this time period were analyzed for demographic variables (age, ASA physical status, gender) and specific features of the STAT calls (provider who initiated the call, anesthetic phase, presence of recent respiratory illness, location). We further categorized the STAT calls as "complicated" or "uncomplicated" based on an unexpected change in patient disposition, and analyzed how demographic factors and specific features related to the likelihood of a STAT call being complicated. (2) A subset of the total calls (108), captured after introduction of electronic intraoperative medical record in July 2012, were analyzed for the incidence of STAT calls by comparing the number and nature of the STAT calls to the number of surgical/diagnostic procedures performed. RESULTS: Univariable and multivariable analysis of the entire cohort of STAT calls (193 cases) identified several characteristics that were more likely to be associated with a complicated STAT call: higher ASA physical status; history of respiratory illness; cardiac inciting event; occurrence during induction phase of general anesthesia; postanesthesia care unit location; and calls initiated by an attending physician or a pediatric anesthesia fellow. Multivariable analysis of the subset of 108 indicated that age <1 year and a history of prematurity were independent predictors of a higher incidence of STAT calls. Offsite anesthesia services were associated with a lower frequency of STAT calls independent of the other variables. CONCLUSIONS: Our study offers the most comprehensive analysis of emergent perioperative calls for help in pediatric anesthesia to date. We identified several characteristics, independently associated with more complicated and frequent perioperative STAT calls. Further research is required to evaluate the utility of this information in preventing and treating adverse events in children undergoing surgery and anesthesia.

Perioperative Spending on Spinal Fusion for Scoliosis for Children With Medical Complexity.

BACKGROUND: Global payment is used with surgeries to optimize health, lower costs, and improve quality. We assessed perioperative spending on spinal fusion for scoliosis to inform how this might apply to children. METHODS: Retrospective analysis of 1249 children using Medicaid and aged ≥5 years with a complex chronic condition undergoing spinal fusion in 2013 from 12 states. From perioperative health services measured 6 months before and 3 months after spinal fusion, we simulated a spending reallocation with increased preoperative care and decreased hospital care. RESULTS: Perioperative spending was $112 353 per patient, with 77.9% for hospitalization, 12.3% for preoperative care, and 9.8% for postdischarge care. Primary care accounted for 0.2% of total spending; 15.4% and 49.2% of children had no primary care visit before and after spinal fusion, respectively. Compared with having no preoperative primary care visit, 1 to 2 visits were associated with a 12% lower surgery hospitalization cost (P = .05) and a 9% shorter length of stay (LOS) (P = .1); ≥3 visits were associated with a 21% lower hospitalization cost (P < .001) and a 14% shorter LOS (P = .01). Having ≥3 preoperative primary care visits for all children would increase total perioperative spending by 0.07%. This increased cost could be underwritten by a 0.1% reduction in hospital LOS or a 1.0% reduction in 90-day hospital readmissions. CONCLUSIONS: Hospital care accounted for most perioperative spending in children undergoing spinal fusion. Multiple preoperative primary care visits were associated with lower hospital costs and shorter hospitalizations. Modestly less hospital resource use could underwrite substantial increases in children's preoperative primary care.

The Unique Role of the Pediatric Clinical Research Nurse in Anesthesia: An Interdisciplinary Collaboration.

This article describes the distinctive function of the pediatric clinical research nurse (CRN) in the anesthesia setting. The pediatric CRN in anesthesia acts as a liaison between families and the research team and is the major nexus between the principal investigator or anesthesiologist on a study, and the collaborating surgeons from many different departments. This is unique because the CRNs collaborate with physicians in specialties that can include plastics, urology, neurosurgery, orthopaedics, otolaryngology, cardiology, critical care, and many other departments. The profession requires a breath of knowledge ranging from clinical understanding of diseases, surgical procedures, and recovery to cognitive and developmental stages, to expertise in the research protocol process. Our objective was to describe these specialized activities of the pediatric anesthesia CRN, with focus on care coordination, communication, and continuity of care. Defining this role will enhance the quality of clinical research conducted by the CRN in anesthesia and may influence the development of novel medical treatments.

A Shared Opportunity for Improving Electronic Medical Record Data.

With the recent rapid adoption of electronic medical records (EMRs), studies reporting results based on EMR data have become increasingly common. While analyzing data extracted from our EMR for a retrospective study, we identified various types of erroneous data entries. This report investigates the root causes of the incompleteness, inconsistency, and inaccuracy of the medical records analyzed in our study. While experienced health information management professionals are well aware of the many shortcomings with EMR data, the aims of this case study are to highlight the significance of the negative impact of erroneous EMR data, to provide fundamental principles for managing EMRs, and to provide recommendations to help facilitate the successful use of electronic health data, whether to inform clinical decisions or for clinical research.

Making the pediatric perioperative surgical home come to life by leveraging existing health information technology.

PURPOSE OF REVIEW: To design a patient data dashboard for the Department of Anesthesiology, Perioperative and Pain Medicine at Boston Children's Hospital that supports care integration across the healthcare system as described by the pediatric perioperative surgical home (PPSH) initiative. RECENT FINDINGS: By using 360 Technology, patient data was automatically pulled from all available Electronic Health Record sources from 2005 to the present. The PPSH dashboard described in this report provides a guide for implementation of PPSH Clinical Care Pathways. The dashboard integrates several databases to allow for visual longitudinal tracking of patient care, outcomes, and cost. The integration of electronic information provided the ability to display, compare, and analyze selected PPSH metrics in real time. By utilizing the PPSH dashboard format the use of an automated, integrated clinical, and financial health data profile for a specific patient population may improve clinicians' ability to have a comprehensive assessment of all care elements. This more global clinical thinking has the potential to produce bottom-up, evidence-based healthcare reform. SUMMARY: The experience with the PPSH dashboard provides solid evidence for the use of integrated Electronic Health Record to improve patient outcomes and decrease cost.

Comorbidities and Complications of Spinal Fusion for Scoliosis.

BACKGROUND AND OBJECTIVES: General pediatricians and hospitalists are increasingly summoned to optimize the comorbid conditions of children with medical complexity (CMC) undergoing major surgery. We assessed the relationship between specific chronic conditions of CMC and hospital resource use with spinal fusion for scoliosis, an operation with high cost and morbidity. METHODS: Retrospective analysis of 7252 children age ≥5 years with an underlying complex chronic condition undergoing spinal fusion between January 1, 2010 through December 31, 2014 in 41 children's hospitals. Hospital length of stay (LOS), cost, and 30-day readmission rate were compared across comorbid conditions by using linear and logistic regression accounting for demographic characteristics and clustering of patients by hospital. RESULTS: Fifty-nine percent of children had ≥4 comorbid conditions. As the number of chronic conditions increased from 1-3 to ≥10, median LOS increased 60% (5 [interquartile range (IQR), 4-7] to 8 [IQR, 5-13] days); median hospital cost increased 53% ($52 319 [IQR, $37 937-71 513] to $80 429 [IQR, $58 602-$111 965]); and readmission rates increased 293% (5.4% to 15.8%) (P < .001 for all). In multivariable analysis, conditions strongly associated with LOS and cost were chronic respiratory insufficiency (LOS: +2.1 days; cost: +$12 070; and bladder dysfunction (LOS: +0.8 days; cost: +$4014) (P < .001 for all). Readmission likelihood was highest with bladder dysfunction (odds ratio, 1.5; 95% confidence interval, 1.1-2.0) and epilepsy (odds ratio, 1.2; 95% confidence interval, 1.0-1.5). CONCLUSIONS: Chronic respiratory insufficiency, bladder dysfunction, and epilepsy had significant associations with hospital resource use for CMC undergoing spinal fusion. Pediatricians, patients, and families may find it useful to consider these conditions when striving to benefit the children's perioperative health and outcomes.

Safety and cost-effectiveness of port removal outside of the operating room among pediatric patients.

PURPOSE: The current emphasis on fiscally responsible health spending in the era of the Affordable Care Act and other health care reform necessitates cost-conscious delivery of care. "Value" in health care is defined as the quality of care divided by the cost. As such, health systems optimize value by providing the most cost-effective care possible without sacrificing safety or outcomes. Elective, minimal risk surgical procedures in children may be value-enhanced by moving from an operating room (OR) to a more cost-efficient setting. The purpose of this study was to assess the safety and cost of performing the removal of implantable central venous access devices ("ports") in locations other than the main OR. METHODS: We compared port removal at three sites: 1. Main OR, 2. Satellite OR, and 3. Clinic Procedure Room. This was a mixed-methods study including a retrospective review of medical records and prospective observation/interviewing. To calculate cost without the inherent biases of hospital charges, costs, and payments, we utilized the methodology of time-driven activity based costing. Specifically, we recorded time spent by the patient in hospital facilities and with health care personnel. This duration was then weighted with the hourly cost of each health care professional and hospital space. The Mann-Whitney U test compared time and cost across the three sites. Overall cost at each site was divided by overall cost at the referent site (Main OR) to obtain a ratio of cost savings. RESULTS: A total of 120 patients (40 per site) were included in the analysis. Demographic and clinical factors were not significantly different between sites. No complication occurred with port removal at any site. Time of the entire care episode was significantly decreased in the Clinic (median 161min, 95% confidence interval [CI] 134-188min), compared to the Main OR (median 235min, 95% confidence interval [CI] 209-251min) or Satellite OR (median 228min, 95% confidence interval [CI] 211-245min). Overall cost was decreased by 25% (95% CI: 13-34%) at the Clinic and by 6% (95% CI: -2-11%) at the Satellite OR, compared to the Main OR (referent, P<0.01). CONCLUSION: In our study, port removal in the Clinic Procedure Room was not associated with increased risk of negative outcomes. Shifting port removal from the Main OR to the Clinic may result in substantial cost savings.