44,116 research outputs found

    Pressure Injury and Restraint Prevalence Surveys: Saving Time and Dollars for Patient Care by Automating Manual Chart Abstraction

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    Bronson Healthcare Group performs quarterly pressure injury and restraint audits as part of the National Database of Nursing Quality Indicators (NDNQI). The chart abstraction portion of the audit previously required nurses to manually abstract 31 data points. To save time and cost, we used Lean and PDSA process improvement tools to automate the chart abstraction portion of the audit, reducing the number of data points requiring manual abstraction to 2. We validated the automated abstraction by comparing it to abstractions done manually by the audit nurses. We found that an automated process has the potential to reduce the impact of human error inherent in manual abstraction

    Business Process Redesign in the Perioperative Process: A Case Perspective for Digital Transformation

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    This case study investigates business process redesign within the perioperative process as a method to achieve digital transformation. Specific perioperative sub-processes are targeted for re-design and digitalization, which yield improvement. Based on a 184-month longitudinal study of a large 1,157 registered-bed academic medical center, the observed effects are viewed through a lens of information technology (IT) impact on core capabilities and core strategy to yield a digital transformation framework that supports patient-centric improvement across perioperative sub-processes. This research identifies existing limitations, potential capabilities, and subsequent contextual understanding to minimize perioperative process complexity, target opportunity for improvement, and ultimately yield improved capabilities. Dynamic technological activities of analysis, evaluation, and synthesis applied to specific perioperative patient-centric data collected within integrated hospital information systems yield the organizational resource for process management and control. Conclusions include theoretical and practical implications as well as study limitations

    Using Informatics to Improve Autism Screening in a Pediatric Primary Care Practice

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    Background: According to the most recent report from the CDC (2018), autism spectrum disorder (ASD) affects approximately one in 59 children in the United States (U.S.). In 2007, the American Academy of Pediatrics (AAP) issued a strong recommendation for all primary care providers to screen children for autism, using a validated tool, at the 18 and 24-month well-child visits, in order to begin the referral process for more formal testing, and intervention, promptly. Despite the strong stance of the AAP and evidence supporting the importance of early intervention for children with ASD, not all primary care providers are screening for ASD or developmental delay. Purpose: To improve the percentage of eligible children, presenting for 18 and 24 month wellchild visits in a pediatric primary care office, who are screened for ASD, by integrating the Modified Checklist for Autism in Toddlers (M-CHAT) screening tool into the electronic medical record with tablets. The specific aims were to increase the percentage of children screened and improve the documentation of the screens performed. Methods: This quality improvement project utilized a before-after quantitative design to support the improvement. Reports were obtained for three months prior to the implementation of the tablets and process change, and again for three months following the implementation. Manual chart reviews were also performed to verify the data from the reports. The definition used for complete screening for this project included 1) presence of the completed screen in the medical record, 2) provider documentation of the result, interpretation, and plan if indicated, and 3) CPT code entry for charge capture completed in the electronic medical record. Results: The results of the project revealed improvements in overall percentages of eligible children screened for autism at D-H Nashua Pediatrics. The percentage of complete screening increased from 64.7% to 73.9% following the implementation of the project, a change which is statistically significant (t=31.6105, df=16,p=0.05). Each individual element was also tracked and those results showed that 1) the completeness of provider documentation related to the screening increased from 93.6% to 96% (t=41.3321, df=16, p=0.05) and 2) the M-CHAT screen was present in the electronic health record (EHR) 98.9% of the time, which was an increase from 84.6% (t=295.4084, df=16, p=0.05). The charge capture completion rate remained statistically unchanged at 76.5% (t=0.4664, df=16, p=0.05). Additionally, only one screening was noted to be missed altogether, out of 280 eligible children. Prior to the project, there were four missed screenings (out of 156 eligible children) captured by the chart reviews conducted over three months prior to the implementation of the project. Overall, the results show that the project resulted in an increase the percentage of M-CHAT screening, an increase in the presence of source documentation in the electronic health record (EHR), and more complete provider documentation related to the screening

    Quality Improvement for Well Child Care

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    Presented to the Faculty of University of Alaska Anchorage in Partial Fulfillment of Requirements for the Degree of MASTER OF SCIENCEThe American Academy of Pediatrics (AAP) Bright Futures (BF) guidelines for well child care were designed to provide quality pediatric care. Adherence to AAP-BF guidelines improves: screenings, identification of developmental delay, immunization rates, and early identification of children with special healthcare needs. The current guideline set is comprehensive and includes thirty one well child exams, thirty three universal screening exams and one hundred seventeen selective screening exams. Many providers have difficulty meeting all guideline requirements and are at risk of committing Medicaid fraud if a well exam is coded and requirements are not met. The goal of this quality improvement project was to design open source and adaptable templates for each pediatric age group to improve provider adherence to the BF guidelines. A Plan-Do-Study-Act (PDSA) quality improvement model was used to implement the project. Templates were created for ages twelve months to eighteen years and disseminated to a pilot clinic in Anchorage, Alaska. The providers were given pre-implementation and postimplementation surveys to determine the efficacy and usefulness of the templates. Templates were determined to be useful and efficient means in providing Bright Futures focused well child care. The templates are in the process of being disseminated on a large scale to assist other providers in meeting BF guideline requirements.Title Page / Table of Contents / List of Tables / List of Appendices / Abstract / Introduction / Background / Clinical Significance / Current Clinical Practice / Research Question / Literature Review / Framework: Evidence Based Practice Model/ Ethical Considerations and Institutional Review Board / Methods / Implementation Barriers / Findings / Discussion / Disseminatio

    A Systems Approach to Improving Tdap Immunization Within 5 Community-Based Family Practice Settings: Working Differently (and Better) by Transforming the Structure and Process of Care.

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    OBJECTIVES: We examined how family medicine clinic physicians and staff worked in collaborative teams to implement an automated clinical reminder to improve tetanus, diphtheria, and acellular pertussis (Tdap) booster vaccine administration and documentation. METHODS: A clinical reminder was developed at 5 University of Michigan family medicine clinics to identify patients 11 to 64 years old who were in need of the Tdap booster vaccine. Quality improvement cycles were used to improve clinic care processes. Immunization rates from 2008 to 2011 were compared with rates at 4 primary care control clinics. RESULTS: Vaccination rates among eligible patients increased from 15.5% to 47.3% within the family medicine clinics and from 14.1% to 30.2% within the control clinics. After adjustment for covariates, family medicine patients had a higher probability of vaccination than control patients during each measurement period (0.17 vs 0.15 at baseline, 0.53 vs 0.22 during year 1, and 0.50 vs 0.30 during year 2). CONCLUSIONS: Automated clinical reminders, when designed and implemented via a consensus-based framework that addresses the process of care, can dramatically improve provision of preventive health care

    Technology Target Studies: Technology Solutions to Make Patient Care Safer and More Efficient

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    Presents findings on technologies that could enhance care delivery, including patient records and medication processes; features and functionality nurses require, including tracking, interoperability, and hand-held capability; and best practices
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