Computerized clinical documentation system in the pediatric intensive care unit

BACKGROUND: To determine whether a computerized clinical documentation system (CDS): 1) decreased time spent charting and increased time spent in patient care; 2) decreased medication errors; 3) improved clinical decision making; 4) improved quality of documentation; and/or 5) improved shift to shift nursing continuity. METHODS: Before and after implementation of CDS, a time study involving nursing care, medication delivery, and normalization of serum calcium and potassium values was performed. In addition, an evaluation of completeness of documentation and a clinician survey of shift to shift reporting were also completed. This was a modified one group, pretest-posttest design. RESULTS: With the CDS there was: improved legibility and completeness of documentation, data with better accessibility and accuracy, no change in time spent in direct patient care or charting by nursing staff. Incidental observations from the study included improved management functions of our nurse manager; improved JCAHO documentation compliance; timely access to clinical data (labs, vitals, etc); a decrease in time and resource use for audits; improved reimbursement because of the ability to reconstruct lost charts; limited human data entry by automatic data logging; eliminated costs of printing forms. CDS cost was reasonable. CONCLUSIONS: When compared to a paper chart, the CDS provided a more legible, compete, and accessible patient record without affecting time spent in direct patient care. The availability of the CDS improved shift to shift reporting. Other observations showed that the CDS improved management capabilities; helped physicians deliver care; improved reimbursement; limited data entry errors; and reduced costs

IN-SILICO APPROACH TO THE DEVELOPMENT OF A PROTOTYPE CLINICAL INFORMATION SYSTEM FOR PEDIATRIC UNITS

There is an observed serious challenge to the provision and management of pediatric healthcare and facilities in most African countries. This has probably contributed to the high mortality rates recorded among African children. It is thus imperative to evaluate all possible approaches to the development of the appropriate manage of the problem. In-silico approaches to information management of pediatrics sections of hospitals could for example help reduce mortality rates among children. This study was aimed at developing a prototype clinic information system for keeping track of infants’ clinical records, diagnosis of their various ailments, proffering possible solutions and their respective responses to drug treatments. Research focus was on the pediatric sections of some hospitals located in southwestern part of Nigeria, particularly sections in care of the children between the ages of 5 and 9 years. A monthly or annual report generated from this system will assist in making proper recommendation to research institutions on ways of improving chemotherapeutic management of common diseases of infants and to governmental agencies on the need for more funding to support in this quest. C#.Net was the programming language used for the implementation of the system, while SQL server 2008 was used to provide the database support. It is hoped that the developed system will help in the reduction of infant mortality rates in hospitals were it is implemented

Comparison of the effectiveness of traditional nursing medication administration with the Color Coding Kids system in a sample of undergraduate nursing students

The problem of medication errors in hospitals and the vulnerability of pediatric patients to adverse drug events (ADE) was investigated and well substantiated. The estimated additional cost of inpatient care for ADE’s in the hospital setting alone was conservatively estimated at an annual rate per incident of 400,000 preventable events each incurring an extra cost of approximately $5,857. The purpose of the researcher was to compare the effectiveness of traditional nursing medication administration with the Color Coding Kids (CCK) system (developed by Broselow and Luten for standardizing dosages) to reduce pediatric medication errors. A simulated pediatric rapid response scenario was used in a randomized clinical study to measure the effects of the CCK system to the traditional method of treatment using last semester nursing students. Safe medication administration, workflow turnaround time and hand-off communication were variables studied. A multivariate analysis of variance was used to reveal a significant difference between the groups on safe medication administration. No significant difference between the groups on time and communication was found. The researcher provides substantial evidence that the CCK system of medication administration is a promising technological breakthrough in the prevention of pediatric medication errors

A Comparison of the Features and Functions Available in Electronic Health Records

The Institute of Medicine (IOM) (2007) estimates that medical errors transpire at a rate of 1.5 million per year. The IOM (2000), approximates 7,000 deaths per year are related to preventable medication errors, which are the leading cause of medical errors. Adverse drug events (ADE) occur due to medication errors, which are 100% preventable. Annually, approximately $21 billion dollars are spent to care for patients’ who experience ADE due to medication errors (IOM, 2007). This doctoral project evaluates the current features and available functions for pediatric medication administration within the electronic health record (EHR). This comparison explored the EHR functionalities across all pediatric services and compared those tools to the features utilized in pediatric anesthesia. The electronic charting systems evaluated include: neonatal intensive care unit (NICU), emergency department (ED), post anesthesia care unit (PACU), operating room (OR), nursery, pre-operative, general pediatric floor and anesthesia departments. The EHR evaluation determined the department with the greatest differences in the EHR and medication administration record (MAR) is the anesthesia environment. The pediatric weight-based medication dosage was available for all other departments; therefore the same feature should be accessible to anesthesia providers

Doctor of Philosophy

dissertationComputerized provider order entry (CPOE) is a component of electronic health records (EHR) that has been touted as a crucial means to support healthcare quality and efficiency. The costs of EHR implementation can be staggeringly high, and little literature exists to verify the hypothesized benefits of CPOE and EHRs. The purpose of this study, based on Coyle and Battle's adaptation of the classic Donabedian quality improvement framework, was to evaluate system-wide outcomes after CPOE implementation in a large academic setting. The specific aims were to describe the association between CPOE implementation and (1) mortality rate and (2) length of stay (LOS), controlling statistically for antecedent, structure, and process variables. The study used hierarchical linear modeling to analyze clinical and administrative data from 2.5 years before and 2.5 years after CPOE implementation. Aim 1 analysis included 104,153 hospital visits and aim 2 analysis included 89,818 visits. Two models were created for each analysis, (a) a model with individual patient care units as the unit of analysis and (b) a model with units aggregated by type. LOS decreased 0.9 days per visit in all models. Mortality decreased 1 to 4 deaths per 1000 visits, depending on the model; or 54 to 216 patient lives saved in the postimplementation period. Significant antecedents were patient demographics, insurance type, and scheduled versus emergency admission; structure variables included patient care unit, private room, and palliative care; and process variables included nursing care iv hours and the number of orders placed. Mortality models were variable by patient care unit, and strongly influenced by confounders such as rapid response team or code activation, suggesting the importance for future studies to account for those influences. CPOE was statistically associated with clinically significant improvements in the system-wide outcomes. Controlling statistically for antecedent, structure, and process variables, the analysis found that after the implementation of CPOE, there was a decrease in mortality and LOS. Future studies need to determine how CPOE implementation impacts nursing performance and how CPOE influences the effect of new physician resident arrival on patient outcomes

Effect of a Computer-Based Decision Support Intervention on Autism Spectrum Disorder Screening in Pediatric Primary Care Clinics: A Cluster Randomized Clinical Trial

Importance: Universal early screening for autism spectrum disorder (ASD) is recommended but not routinely performed. Objective: To determine whether computer-automated screening and clinical decision support can improve ASD screening rates in pediatric primary care practices. Design, Setting, and Participants: This cluster randomized clinical trial, conducted between November 16, 2010, and November 21, 2012, compared ASD screening rates among a random sample of 274 children aged 18 to 24 months in urban pediatric clinics of an inner-city county hospital system with or without an ASD screening module built into an existing decision support software system. Statistical analyses were conducted from February 6, 2017, to June 1, 2018. Interventions: Four clinics were matched in pairs based on patient volume and race/ethnicity, then randomized within pairs. Decision support with the Child Health Improvement Through Computer Automation system (CHICA) was integrated with workflow and with the electronic health record in intervention clinics. Main Outcomes and Measures: The main outcome was screening rates among children aged 18 to 24 months. Because the intervention was discontinued among children aged 18 months at the request of the participating clinics, only results for those aged 24 months were collected and analyzed. Rates of positive screening results, clinicians' response rates to screening results in the computer system, and new cases of ASD identified were also measured. Main results were controlled for race/ethnicity and intracluster correlation. Results: Two clinics were randomized to receive the intervention, and 2 served as controls. Records from 274 children (101 girls, 162 boys, and 11 missing information on sex; age range, 23-30 months) were reviewed (138 in the intervention clinics and 136 in the control clinics). Of 263 children, 242 (92.0%) were enrolled in Medicaid, 138 (52.5%) were African American, and 96 (36.5%) were Hispanic. Screening rates in the intervention clinics increased from 0% (95% CI, 0%-5.5%) at baseline to 68.4% (13 of 19) (95% CI, 43.4%-87.4%) in 6 months and to 100% (18 of 18) (95% CI, 81.5%-100%) in 24 months. Control clinics had no significant increase in screening rates (baseline, 7 of 64 children [10.9%]; 6-24 months after the intervention, 11 of 72 children [15.3%]; P = .46). Screening results were positive for 265 of 980 children (27.0%) screened by CHICA during the study period. Among the 265 patients with positive screening results, physicians indicated any response in CHICA in 151 (57.0%). Two children in the intervention group received a new diagnosis of ASD within the time frame of the study. Conclusions and Relevance: The findings suggest that computer automation, when integrated with clinical workflow and the electronic health record, increases screening of children for ASD, but follow-up by physicians is still flawed. Automation of the subsequent workup is still needed

REDUCTIONS IN MEDICATION WASTAGE AND COSTS IN A PEDIATRIC INTENSIVE CARE UNIT BY CHANGING THE ORDER ENTRY SYSTEM

Objective: The intensive care unit (ICU) drug therapies have a significant impact on hospital costs, and reducing these costs has become a critical concern for hospitals. In this study, the researchers tested the theory on whether changing the ordering system of medications in the pediatric ICU (PICU)1, reduces drug wastage so that the nurse can request a fraction of one vial or ampule. More precisely, the study aimed to reduce the medication cost and wastage in our pediatric center. Methods: This study was conducted in the 16-bed PICU of Imam Hossein Hospital, which is a referral tertiary care teaching pediatric hospital with 185 beds in ten wards. A fractional ordering alternative was added to the hospital information system of the PICU of the pediatric hospital. Nurses were taught by the hospital pharmacist to understand the new way of ordering the drugs. Several highly used drugs were chosen for the intervention. The data were analyzed by an independent sample t-test using SPSS software. Results: Based on the results, changing the method of requesting medications for PICU patients and the random checking of floor stocks and the expired drugs in PICU reduced the number and cost of all medications. Conclusion: Overall, the collaboration of nurses and pharmacists can lead to cost savings in hospitals