Electronic Medical Record System Research Articles

Optimizing use of an electronic medical record system for quality improvement initiatives in hemodialysis: Review of a single center experience.

The complexity of managing patients with end-stage kidney disease on hemodialysis underscores the importance of implementing quality improvement (QI) initiatives to enhance patient safety and prioritize patient-centered care. To address this, we established a QI committee at our tertiary academic center focusing on evidence-based practices, patient-centered approaches, and cost efficiency. To facilitate the seamless implementation of QI initiatives, we leveraged the capabilities of our electronic medical record (EMR) system. This review details effective strategies for optimizing use of an EMR system to successfully implement QI efforts. Drawing from our experience, we provide detailed descriptions and practical insights that can be applied to other EMRs. The creation of a secure and accessible dashboard, offering real-time data on quality metrics, stands out as the most notable feature. This dashboard operates through an algorithm that merges data from both our dialysis and hospital EMR systems. Its primary objectives are to streamline the identification of high-priority patients, enhance team communication, and facilitate tracking of quality indicators. Additionally, we integrated clinical pathways, checklists, and standardized protocols into the renal EMR to ensure smooth implementation of QI interventions. Notable examples of these interventions include an incremental hemodialysis protocol, a new hemodialysis start checklist, vaccination care plans, and personalized kidney transplant workups. Programmed electronic automatic reminders have proven invaluable in ensuring timely follow-ups of assigned tasks. The EMR has also contributed to medication optimization and deprescribing by generating patient lists based on specific medication classes. Finally, the EMR's capability to swiftly generate lists of patients with specific features has significantly facilitated targeted QI interventions. Leveraging the capabilities of an EMR system can be crucial for enhancing care of hemodialysis patients and implementing effective QI initiatives.

Clinical features of chronic tibial osteomyelitis: a single-center retrospective study of 282 cases in Xinjiang, China.

Chronic osteomyelitis is a highly prevalent and severe orthopaedic complication, representing a critical unresolved issue. The clinical symptoms of osteomyelitis are influenced by various factors, including geography, lifestyle, and pre-existing medical conditions.This study aims to provide theoretical basis for treatment and prevention of osteomyelitis by investigating and analyzing clinical features and pathogen distribution among 282 patients with chronic tibial osteomyelitis in xinjiang. A total of 282 patients with chronic tibial osteomyelitis from January 1, 2012 to January 1, 2022 in the First Affiliated Hospital of Xinjiang Medical University were retrospectively analyzed. All data were collected from electronic medical record (EMR) system including demographics, etiology, risk factors, osteomyelitis location and clinical classification. Farmers, students, unemployed and retirees accounted for a relatively large proportion of the 282 patients. There were 233 males and 49 females with a gender ratio of 4.75:1. The average age was 40.21 ± 15.68 years and was mainly concentrated in 41-50 years, specifically, the mean age of females was slightly older than that of males. Education level was mostly primary and secondary school education, and illiteracy. Risk factors of chronic tibial osteomyelitis included history of smoking and drinking, history of multiple repeated surgeries, and impaired immunity. Frequent clinical symptoms were in the order of pain, local swelling, pus discharge and skin ulceration. Among all inflammatory markers, proportion of positive results were 30.85%, 59.93% and 53.90% for white blood cell (WBC), erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP), respectively. Positive rate of pathogenic microorganism culture was low and the three most common bacteria were Staphylococcus aureus (S. aureus), Pseudomonas aeruginosa (P. aeruginosa) and Escherichia coli (E. coli). The most frequent site of infection was middle tibia. According to Cierny-Mader osteomyelitis classification, the most common types were type IIIA, IVA and IIA. Number of visits due to chronic osteomyelitis increased year by year, with young and middle-aged male farmers and low education level as the main groups. Smoking and drinking were two considerable risk factors that should be attached to a great importance. No significant increase was found in inflammatory markers and lower positive rate of pathogenic microorganism culture was observed. Multi-drug resistant bacteria were common and S. aureus remained the most frequent pathogen. Elevated ESR had certain diagnostic value for osteomyelitis. Type III and type IV osteomyelitis accounted for a large proportion which posed great challenges for clinical diagnosis and treatment.

Ordering and Utilization of Peripheral Blood Flow Cytometry in an Academic Medical Center

Abstract Introduction/Objective The American Society for Clinical Pathology and the American Board of Internal Medicine’s Choosing Wisely campaign have developed best practice utilization guidelines for laboratory testing. Wisconsin Diagnostic Laboratories and Medical College of Wisconsin leadership noticed an increase in inappropriate peripheral blood flow cytometry testing in the last two years. An intervention was developed to help reduce inappropriate testing requests. Methods/Case Report The laboratory implemented a clinical decision support tool in the electronic medical record system that looked at patient diagnosis, history of stem cell transplant, and recommendations from pathology to help improve utilization of peripheral blood flow cytometry testing. Based on patient history, flow cytometry testing would move forward, or an alternative order of a peripheral blood pathology smear review with reflex to flow cytometry was offered. Pathologists would reflex flow cytometry if abnormalities were present by light microscopy or predetermined reflexing criteria were met. Results (if a Case Study enter NA) 314 cases were included for analysis. The intervention reduced volumes of peripheral blood flow cytometry in patients without a history of hematologic malignancy by 49.1% (p=<0.001). Appropriate utilization increased from 47.0% in the pre-intervention period to 80.4% in the post intervention period (p=<0.001). Significant diagnosis rate increased from 42.5% to 50.0% (p=.261). This resulted in a cost savings of $12,232 for the health system during the intervention period. Conclusion Clinical decision support based utilization efforts provide strong and consistent interventions to reduce the unnecessary and inappropriate ordering of peripheral blood flow cytometry.

Usability Assessment of OpenEMR: Enhancing Healthcare Interactions

Electronic medical record (EMR) systems are pivotal in modern healthcare for digitizing patient records and improving clinical workflows. However, persistent usability challenges hinder their effective adoption and user satisfaction. This study employs a comprehensive user-centered design approach to identify and address usability issues in one such EHR, an open-source system named openEMR. Our main objective was to assess openEMR’s usability through several usability metrics. In addition to a summative usability test with 10 participants, we employed usability inspection (i.e., a heuristic evaluation) to generate additional findings using multiple methods. The results from the summative usability test provide a comprehensive perspective on openEMR’s performance. In addition to task-specific observations, participants offered insights into openEMR’s overall usability through a debrief interview. Through quantitative surveys, usability testing, qualitative interviews, and a heuristic evaluation, this study identified critical usability issues, proposes targeted solutions, and discusses implications for enhancing EMR systems in healthcare settings.

8091 Clinical Features Associated with ICU Admission and Mortality in Thyroid Storm and Impending Thyroid Storm

Abstract Disclosure: E.D. Zhang: None. I. Hussain: None. Introduction: Thyroid storm is a rare, life-threatening manifestation of thyrotoxicosis characterized by a clinical syndrome of acute multi-organ failure, which can result in significant morbidity and mortality. Impending thyroid storm is a stage of thyrotoxicosis that may progress to thyroid storm if untreated. The aim of this study was to evaluate the demographics and outcomes of patients with thyroid storm at our institution and determine the clinical features associated with severe complications and mortality. We also evaluated the differences in clinical features and outcomes in patients diagnosed with impending thyroid storm versus thyroid storm. Methods: This was a retrospective single-center cohort study evaluating patients aged 18 years or older who were clinically diagnosed with thyroid storm or impending storm at two affiliated tertiary academic centers from 2008-2021. A search of the electronic medical record system using ICD-10 codes for thyroid storm identified patient charts which were reviewed for eligibility. Results: This study included 121 admissions, with 75 (62.0%) patients with thyroid storm and 46 (38.0%) patients with impending thyroid storm. Our study cohort was notably more racially and ethnically diverse than prior U.S. studies with 5.0% non-Hispanic White, 52.9% Black, 33.9% Hispanic, and 8.3% Asian patients. The mortality rate was 4.7%, with all patient deaths occurring in the thyroid storm group. Multivariable logistic regression analysis showed atrial fibrillation (OR 4.09, 95% CI 1.21, 13.85, p=0.02) and acute respiratory failure (OR 22.18, 95% CI 2.29, 215.19, p=0.008) to be significantly associated with a composite outcome of intensive care unit (ICU) admission or death. Comparison of impending storm and thyroid storm groups showed fever (p=0.02), acute respiratory failure (p=0.03), and ICU admission (p=0.02) to be significantly different between groups. Conclusions: This study describes the largest published single-center cohort of patients treated for thyroid storm in the United States. Furthermore, our study contributes importantly to the data for racial/ethnic minorities who are under-represented in prior studies. The mortality rate in this study is lower than most recent studies. The presence of atrial fibrillation and acute respiratory failure were noted to be significantly associated with a composite outcome of ICU admission or death, and the five fatal cases had high rates of cardiac arrest and shock. These findings suggest that complications involving cardiopulmonary compromise are clinically important in predicting severe disease and poor outcomes. Acute respiratory failure was also noted to be significantly different between impending storm and thyroid storm groups indicating that while not currently included in existing diagnostic systems, it is an important complication of thyroid storm that may have prognostic value. Presentation: 6/2/2024

Outcomes of pediatric in-hospital cardiac arrest in the emergency department of a tertiary referral hospital in Tanzania: a retrospective cohort study

BackgroundCardiopulmonary resuscitation (CPR) is an emergency procedure performed to restore heart function to minimize anoxic injury to the brain following cardiac arrest.Despite the establishment of emergency department and training on Pediatric Advanced Life Support (PALS) at Muhimbili National Hospital (MNH) the outcomes of pediatric in-hospital cardiac arrest have not been documented. We ought to determine the outcomes and factors associated with 24-h survival after pediatric in-hospital cardiac arrests at MNH in Tanzania.MethodsWe conducted a retrospective study of all patients aged 1 month to 18 years who had in-hospital cardiac arrests (IHCA) prompting CPR in the Emergency Medicine Department (EMD) at MNH, Tanzania from January 2016 to December 2019. Data was collected from electronic medical record (Wellsoft) system using a standardized and pretested data collection form that recorded clinical baseline, pre-arrest, arrest, and post-arrest parameters. Bivariate and multivariable logistic regression analyses were performed to assess the influence of each factor on 24-h survival.ResultsA total of 11,951 critically ill patients were screened, and 257 (2.1%) had cardiac arrest at EMD. Among 136 patients enrolled, the median age was 1.5 years (interquartile range: 0.5–3 years) years, and the majority 108 (79.4%) aged ≤ 5 years, and 101 (74.3%) had been referred from peripheral hospitals. Overall stained return of spontaneous circulation was achieved in 70 (51.5%) patients, 24-h survival was attained in 43 (31.3%) of patients, and only 7 patients (5.2%) survived to hospital discharge. Factors independently associated with 24-h survival were CPR event during the day/evening (p = 0.033), duration of CPR ≤ 20 min (p = 0.000), reversible causes of cardiac arrest being identified (p = 0.001), and having assisted/mechanical ventilation after CPR (p = 0.002).ConclusionIn our cohort of children with cardiac arrest, survival to hospital discharge was only 5%. Factors associated with 24-h survival were CPR events during the daytime, short duration of CPR, recognition of reversible causes of cardiac arrest, and receiving mechanical ventilation. Future studies should explore the detection of decompensation, the quality of CPR, and post-cardiac arrest care on the outcomes of IHCA.

The current diagnosis and treatment situation of rare disease in the pediatric intensive care unit

Objective: To analyze the diagnosis and treatment of children with rare diseases in the pediatric intensive care unit (PICU), the distribution of disease types and populations, clinical characteristics, and the use of orphan drugs. Methods: A retrospective case summary was conducted. Data were collected from 105 children aged 29 days to <18 years with a confirmed diagnosis of rare diseases according to the "First Batch of Rare Disease Catalogue in China" who were admitted to the PICU of Beijing Children's Hospital, Capital Medical University from January 2020 to December 2022. Data including general information, auxiliary examinations, and treatment details for each patient were collected from the hospital's electronic medical record system. Patients were divided into age groups: infancy (29 days to<1 year), early childhood (1 to <3 years), preschool age (3 to<7 years), school age (7 to<13 years), and adolescence (13 to<18 years). The chi-square test was used to compare gender distribution differences among various rare diseases. Results: A total of 105 patients with 130 cases meeting the diagnostic criteria were included, accounting for 4.7% (130/2 754) of the total admissions to the PICU. The age at PICU admission was 5.3 (0.8, 9.5) years and there were 81 cases in male. The 3 most common types of diseases were endocrine, nutritional, and metabolic diseases (37 cases); followed by neurological disorders(32 cases); and congenital malformations, deformities, and chromosomal abnormalities(17 cases). The 5 most common rare diseases were methylmalonic acidemia (14 cases), mitochondrial encephalomyopathy (14 cases), atypical hemolytic uremic syndrome (12 cases), autoimmune encephalitis (12 cases), and idiopathic cardiomyopathy (9 cases). The distributions of common rare diseases varied among different age groups. In infants, atypical hemolytic uremic syndrome was most common (6 children). There was no statistically significant difference regarding gender among children with mitochondrial encephalomyopathy (13.6% (11/81) vs. 6.1% (3/49), χ2=1.77, P=0.184). Respiratory failure (36 cases) was the primary reason for rare diseases children to be admitted to the PICU. A total of 95 cases underwent mechanical ventilation, 39 cases received multidisciplinary collaborative diagnosis and treatment, and only 6 children received orphan drug therapy during their stay in the PICU. Conclusions: Rare diseases are not uncommon in PICU. Endocrine, nutritional and metabolic disorders, neurological disorders, congenital malformations, deformities, and chromosomal abnormalities were common. Methylmalonic acidemia, mitochondrial encephalomyopathy, atypical hemolytic uremic syndrome and autoimmune encephalitis have higher cases. Many children with rare diseases in the PICU have complex conditions those are challenging to treat, requiring multidisciplinary collaboration. The utilization rate of orphan drugs among children with rare diseases in PICU needs to be improved.

Application of a Machine Learning Predictive Model for Recurrent Acute Pancreatitis.

Acute pancreatitis is the main cause of hospitalization for pancreatic disease. Some patients tend to have recurrent episodes after experiencing an episode of acute pancreatitis. This study aimed to construct predictive models for recurrent acute pancreatitis (RAP). A total of 531 patients who were hospitalized for the first episode of acute pancreatitis at the Affiliated Hospital of Southwest Medical University from January 2018 to December 2019 were enrolled in the study. We confirmed whether the patients had a second episode until December 31, 2021, through an electronic medical record system and telephone or WeChat follow-up. Clinical and follow-up data of patients were collected and randomly allocated to the training and test sets at a ratio of 7:3. The training set was used to select the best model, and the selected model was tested with the test set. The area under the receiver operating characteristic curves, sensitivity, specificity, positive predictive value, negative predictive value, accuracy, decision curve, and calibration plots were used to assess the efficacy of the models. Shapley additive explanation values were used to explain the model. Considering multiple indices, XGBoost was the best model. The area under the receiver operating characteristic curves, accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model in the test set were 0.779, 0.763, 0.883, 0.647, 0.341, and 0.922, respectively. According to the Shapley additive explanation values, drinking, smoking, higher levels of triglyceride, and the occurrence of ANC are associated with RAP. The XGBoost model shows good performance in predicting RAP, which may help identify high-risk patients.

Improving the OncotypeDX ordering process in patients with ER+ HER2- early-stage breast cancer: A longitudinal QI project.

292 Background: Use of the 21-gene recurrence score assay, OncotypeDX, is an NCCN category 1 recommendation to define adjuvant treatment planning for patients with hormone receptor positive (HR+), HER2 negative (HER2-) early-stage breast cancer. The assay is a key part of the decision-making process to define who may benefit from adjuvant chemotherapy with delays in testing that may impact patient care and loss of trust between oncologists and patients. Methods: We first created a comprehensive process map of the system in place to order OncotypeDX and met with an interdisciplinary team to determine the best area of intervention. A nurse coordinator from medical oncology took over OncotypeDX ordering in September 2023. To determine impact, we obtained data on OncotypeDX orders (N=473) sent by medical oncologists at Washington University in St. Louis between 9/2022 and 4/2024. We determined the delay between specimen collection and OncotypeDX order and the time from order to delivery of the report in the electronic medical record system. We then assessed our outcome measure, the date of the first office visit after surgery and whether patients had an OncotypeDX test result at that visit for 270 consecutive orders spanning pre- and post-intervention (6/2023 – 4/2024). Results: We used a p-chart to assess our outcome measure of OncotypeDX availability at the time of office visit with medical oncology, a key metric for both treatment planning and patient trust. We observed a positive trend of seven data points in the most recent data when mapping the 270 patients by consecutive groups of 10. In our most recent data pull from April 2024, 85% (22/26) of patients who required an OncotypeDX had one completed at the time of office visit, in comparison to 50% (20/40) in August 2023, the month prior to the intervention. We used XmR and S charts to determine impact on delay from specimen collection to OncotypeDX order, which showed increased precision and a trend of decreased delay after implementing the nurse coordinator. The overall delay decreased from an average of 28 days pre-intervention (9/2022-9/2023) to 24 days in the most recent post-intervention data (3/2024). Average time between order and delivery, our balancing measure, decreased during these time periods from 16 days to 13 days. Conclusions: Implementing a nurse coordinator improved delays in specimen collection to order and order to receipt. This intervention increased the percentage of patients who had an OncotypeDX result at the time of office visit with medical oncology after surgery.

Strengthening vaccination assessment at a southern oncology center: A quality improvement endeavor.

322 Background: The 2013 revision of the Standards for Adult Immunization Practice by the National Vaccine Advisory Committee (NVAC) mandated healthcare professionals to evaluate and ensure adult patients' immunization. Additionally, the 2024 recommendations from the American Society of Clinical Oncology (ASCO) stressed the importance of determining vaccination status of adults newly diagnosed with cancer, to safeguard against vaccine-preventable diseases. Our 2022-2023 cumulative assessment rate for flu vaccination was 64%, and COVID-19 vaccination status was not being assessed in the electronic medical record (EMR). This prevented us from identifying patients who would benefit from vaccination. Methods: A quality improvement initiative was initiated at Norton Cancer Institute – Downtown Office, focusing on enhancing vaccination assessment. Launching in October 2024, the initiative targeted flu and COVID-19 vaccination assessment, with updates to flu assessment questions and the implementation of a COVID-19 assessment flowsheet in the EMR. Best practice advisories (BPAs) were employed to prompt nurse clinicians and providers to order vaccines based on patient responses. Staff compliance was reinforced through tailored training sessions for medical assistants responsible for initial patient assessments, with an emphasis on reconciling external records to improve assessment accuracy. A de-identified data set was created to analyze workflow compliance, the data was abstracted from the relational databases of our institution's EMR system. Abstraction queries were written in SQL using the Microsoft SQL Server Management Studio platform. Results: Following the implementation of the initiative, there was an increase in vaccination assessment completion rates for both Flu and Covid-19. Flu assessment rates improved from 64% at the end of the 2022-2023 flu season to 76% during the 2023-2024 flu season. The implementation of Covid-19 Vaccination assessment workflow also resulted in increased assessment rates each month of the initiative, starting in October with initial rate of 36% and ending in March with 67% cumulative assessment rate. Conclusions: The targeted intervention increased vaccination assessment practices within the oncology setting; by improving clinical workflow to better align with NVAC guidelines and ASCO recommendations for assessment of vaccination status. By Improving vaccination assessment processes our hope is to improve rates of vaccination for oncology patients.

Consanguinity and Occurrence of Monogenic Diseases in a Single Tertiary Centre in Riyadh, Saudi Arabia: A 2 Years Cross-Sectional Study.

Consanguinity, or the practice of marrying close relatives, is a common cultural tradition in Saudi Arabia, with rates among the highest in the world. This practice has significant implications for the prevalence and distribution of major single genetic defects and chromosomal abnormalities within the Saudi population. Herein, using the BESTCare electronic medical record system (designed to streamline hospital operations, enhance patient care, and improve the overall efficiency of healthcare services; bestcare.ezcaretech.com) in a single tertiary centre, King Abdullah Specialized Children Hospital (KASCH) in Riyadh, Saudi Arabia, we performed a cross-sectional study for all patients referred to the hospital from the 1st January 2020 until 1st January 2022. The present study, which included 1100 individuals, found a high prevalence of consanguinity (64%) and a significant proportion of third-degree relatives (69%). The mean age of participants was 12.24 years, and the diagnostic rate using advanced molecular genetics techniques was 45%, with whole exome sequencing (WES) being the most common method (43%). The study also noted a significant delay in diagnosis for more than a year in 16% of cases, with a common neurodevelopmental phenotype (18%). In conclusion, we revealed the prevalence of consanguineous marriages in the KASCH hospital in Riyadh, Saudi Arabia. We also highlighted the most frequently referred phenotype. These findings are consistent with previous research on the prevalence and impact of consanguinity on rare genetic disorders.

Development and validation of a machine learning model integrated with the clinical workflow for inpatient discharge date prediction.

Discharge date prediction plays a crucial role in healthcare management, enabling efficient resource allocation and patient care planning. Accurate estimation of the discharge date can optimize hospital operations and facilitate better patient outcomes. In this study, we employed a systematic approach to develop a discharge date prediction model. We collaborated closely with clinical experts to identify relevant data elements that contribute to the prediction accuracy. Feature engineering was used to extract predictive features from both structured and unstructured data sources. XGBoost, a powerful machine learning algorithm, was employed for the prediction task. Furthermore, the developed model was seamlessly integrated into a widely used Electronic Medical Record (EMR) system, ensuring practical usability. The model achieved a performance surpassing baseline estimates by up to 35.68% in the F1-score. Post-deployment, the model demonstrated operational value by aligning with MS GMLOS and contributing to an 18.96% reduction in excess hospital days. Our findings highlight the effectiveness and potential value of the developed discharge date prediction model in clinical practice. By improving the accuracy of discharge date estimations, the model has the potential to enhance healthcare resource management and patient care planning. Additional research endeavors should prioritize the evaluation of the model's long-term applicability across diverse scenarios and the comprehensive analysis of its influence on patient outcomes.

Acute Augmented Effect of Virtual Reality (VR)-Integrated Relaxation and Mindfulness Exercising on Anxiety and Insomnia Symptoms: A Retrospective Analysis of 103 Anxiety Disorder Patients With Prominent Insomnia.

Anxiety disorder is one of the most common mental disorders and often accompanied with sleep disturbance which can in turn exacerbate anxiety symptoms, creating a vicious cycle. In addition to psychopharmacological therapy, the effectiveness of psychotherapy as cognitive behavioral therapy (CBT) for treating anxiety disorders and insomnia has been well documented and widely accepted, but it is labor-intensive and costly. However, virtual reality (VR)-integrated CBT may improve this condition but needs more evidences to support its extensive application in routine clinical practice. This explorative study was aimed to conduct a retrospective analysis to evaluate the acute (2 weeks) augmented effect of VR-integrated relaxation and mindfulness exercising in improving anxiety and insomnia symptoms for patients who were diagnosed with anxiety disorders and concurrently with prominent insomnia symptoms and admitted to the Department of Psychiatry, The Affiliated Guangdong Second Provincial General Hospital of Jinan University during January 2021 to June 2021. All patients who were admitted to the department of psychiatry during January 1, 2021 to June 30, 2021 were screened with inclusion criteria and exclusion criteria, and the sociodemographic and clinical data of those included patients were collected from the electronic medical record system of the hospital using a self-designed case report form (CRF). Subjects who were administrated with medication alone were designated as conventional group, and those receiving treatment of medication combined with VR-integrated CBT (VR relaxation and mindfulness exercising) as VR group. The baseline and 2-week posttreatment data were compared between the two groups. In total, there were 103 patients (70 female, 68%) included in the study. Among all, 68 (66.02%) were designated as the "VR group," and 35 (33.98%) as the "conventional group." The majority of patients (67%) were diagnosed with generalized anxiety disorder (GAD). Twenty-three (22.3%) patients had a comorbid diagnosis with primary insomnia, and insomnia was just one of the accompanying symptoms with anxiety for the rest 80 subjects. No statistically significant differences were found between VR and conventional groups in all baseline sociodemographic and clinical characteristics except for occupation. There were statistically significant differences for the remission rates of anxiety symptoms or insomnia symptoms and reduction of Hamilton Anxiety Rating Scale or Insomnia Severity Index total scores between conventional and VR groups. Greater remission rates or score reductions were found in VR group than in conventional group either for anxiety or for insomnia. Robust differences still existed when controlled for the variable "occupation." Two-week augmented VR-integrated relaxation and mindfulness exercising is acutely beneficial for relieving both anxiety and insomnia symptoms and worth being recommended for routine clinical practice. Further prospective and randomized study compared to traditional CBT to explore its acute and long-term effect on anxiety and insomnia is needed.

A pilot study testing a new transition of care model from hospital to the community for Hispanic/Latino adults with diabetes to reduce emergency department visits and hospital re-admissions

BackgroundHispanic/Latino populations have the second highest prevalence of diabetes (12.5%) among ethnic minority groups in the USA. They also have higher rates of uncontrolled diabetes and diabetes-related complications. Approximately 29% of diabetes care costs are attributed to inpatient hospital care. To reduce hospital length of stay and re-admission rates for diabetes, the American Diabetes Association (ADA) recommends a “structured discharge plan tailored to the individual patient with diabetes.” However, limited research exists on the feasibility and applicability of a transition of care model specifically tailored for the Hispanic/Latino population.MethodsWe conducted a 2-year pilot study to develop a practical, patient-centered, and culturally competent transition of care (TOC) model for Hispanic/Latino adults with diabetes discharged from the hospital to the community. Feasibility outcomes included recruitment rates, questionnaire completion rates, adherence to a 30-day post-discharge phone call, and resource needs and utilization for study implementation. Participant-centered outcomes included 30-day post-discharge emergency department (ED) visits, 30-day post-discharge unplanned re-admissions, follow-up visits within 2 weeks of discharge, and patient satisfaction with the TOC model.ResultsTwelve participants were enrolled over the study period, with weekly enrollment ranging from 0 to 4 participants. Participants’ average age in years was 47 (± 11.6); the majority were male (85%), and 75% had type 2 diabetes. Recruitment involved the support of 4 bilingual staff. The estimated time to review the chart, approach participants, obtain informed consent, complete questionnaires, and provide discharge instructions was approximately 2.5 h. Of the 10 participants who completed the 30-day post-discharge phone call, none had ED visits or unplanned hospital re-admissions within 30 days post-discharge, and all had a follow-up with a medical provider within 2 weeks.ConclusionsImplementing a patient-centered and culturally competent TOC model for Hispanic/Latino adults with diabetes discharged from the hospital to the community is feasible when considering key resources for success. These include a bilingual team with dedicated and funded time, alignment with existing discharge process and integration into the Electronic Medical Record (EMR) systems.

Implementation of the Observational Medical Outcomes Partnership Model in Electronic Medical Record Systems: Evaluation Study Using Factor Analysis and Decision-Making Trial and Evaluation Laboratory-Best-Worst Methods.

Electronic medical record (EMR) systems are essential in health care for collecting and storing patient medical data. They provide critical information to doctors and caregivers, facilitating improved decision-making and patient care. Despite their significance, optimizing EMR systems is crucial for enhancing health care quality. Implementing the Observational Medical Outcomes Partnership (OMOP) shared data model represents a promising approach to improve EMR performance and overall health care outcomes. This study aims to evaluate the effects of implementing the OMOP shared data model in EMR systems and to assess its impact on enhancing health care quality. In this study, 3 distinct methodologies are used to explore various aspects of health care information systems. First, factor analysis is utilized to investigate the correlations between EMR systems and attitudes toward OMOP. Second, the best-worst method (BWM) is applied to determine the weights of criteria and subcriteria. Lastly, the decision-making trial and evaluation laboratory technique is used to illustrate the interactions and interdependencies among the identified criteria. In this research, we evaluated the AliHealth EMR system by surveying 98 users and practitioners to assess its effectiveness and user satisfaction. The study reveals that among all components, "EMR resolution" holds the highest importance with a weight of 0.31007783, highlighting its significant role in the evaluation. Conversely, "EMR ease of use" has the lowest weight of 0.1860467, indicating that stakeholders prioritize the resolution aspect over ease of use in their assessment of EMR systems. The findings highlight that stakeholders prioritize certain aspects of EMR systems, with "EMR resolution" being the most valued component.

Experience in the Treatment of Male Prolactinomas: A Single-Center, 10-Year Retrospective Study

Introduction: Male prolactinomas are uncommon and typically macroadenomas with difficult treatment and management. The purpose of this study was to summarize the treatment and management experiences of 254 male prolactinoma patients at a single center. Methods: This was a 10-year retrospective study conducted at a single center. A total of 254 male prolactinoma patients were included. Clinical data for all subjects were collected using an electronic medical record system. Results: A total of 254 male patients with prolactinoma were studied. Their median age at onset was 28.8 years, and median disease duration was 28.5 months. The median PRL levels were 582.0 ng/mL at diagnosis. Their median maximum tumor diameter was 23.0 mm, with macroadenoma accounting for the majority (76.7%). After treatment, the biochemical remission rate with monotherapy was 36.6%, but significantly increased to 60.6% with multidisciplinary treatment (p < 0.001). Knosp 0–2 patients had significantly higher rates of biochemical remission compared to Knosp 3–4 (all p < 0.05). In addition, the maximum diameter of adenoma (B = −0.110, p = 0.008) and cavernous sinus invasion (B = −1.741, p = 0.023) were negatively correlated with postoperative biochemical remission. The maximum diameter of the adenoma (B = − 0.131, p < 0.001) was a negative correlation factor, while treatment duration (B = 0.034, p = 0.002) was a positive correlation factor for biochemical response to medication. Conclusion: Male prolactinoma has a low biochemical remission rate when treated alone, but multitherapy can improve it even more. Surgery may also be considered for male prolactinoma with a micro, and noninvasive tumor after a thorough evaluation.

Association between thyroid function and prognosis of severe COVID-19 among patients with SARS-CoV-2 infection: a retrospective cohort study in China.

This study aims to examine the thyroid hormone profile and its association with severe coronavirus disease 2019 (COVID-19) in patients infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This retrospective cohort study enrolled patients admitted to a tertiary hospital due to SARS-CoV-2 infection between February 18 and May 18, 2022. Clinical data were collected retrospectively from the electronic medical record system. Based on the thyroid function, patients were divided into five groups: normal, non-thyroid illness syndrome (NTIS), hypothyroidism, thyrotoxicosis, and unclassified. The association between thyroid function and severe COVID-19 was detected using multivariable logistic regression and restricted cubic splines analysis. This study included 3,161 patients, with 7.7% of them developing severe COVID-19. 44.9% of the patients had normal thyroid function, 36.5% had NTIS, 6.7% had hypothyroidism, and 1.0% had thyrotoxicosis on admission. After adjusting for age, sex, and relevant clinical characteristics, NTIS and hypothyroidism were associated with increased risks of severe COVID-19 (odds ratio [OR] 2.38, 95% confidence interval [CI] 1.59-3.56 and OR 2.29, 95% CI 1.23-4.26, respectively), compared to normal thyroid function group. Among patients with NTIS or hypothyroidism, higher levels of total triiodothyronine (TT3) are associated with lower risks of severe COVID-19 (OR 0.73, 95% CI 0.64-0.82, for every 0.1nmol/L increase in TT3 level). Thyroid hormone profiles of NTIS or hypothyroidism are associated with increased risks of severe COVID-19. The decreased level of TT3 correlated with the increased risk of severe COVID-19 in patients with NTIS or hypothyroidism.

Exploring the Knowledge and Use of Standardised Nursing Terminology Across Australia.

Standardised nursing terminologies (SNTs) support the visibility of nursing work and documentation, enabling data sharing and comparison. An online survey assessed the knowledge and use of SNTs and revealed barriers and enablers to their use by Australian nurses. Just over half of the respondents were familiar with SNTs before the survey, a quarter reported a reasonable understanding of SNTs, just under half reported previous use of a SNT, and less than 14% indicated a current use of a SNT in their workplace. Perceived benefits to SNTs identified by respondents included a reduction in variation and the ability to evaluate the effectiveness of nursing care by measuring outcomes. Both barriers and enablers to the use of SNTs included education and training, standardisation and contextualisation across Australia, and integration into any electronic medical record system. Nurses are poorly informed on what SNTs are and how they can be leveraged to support their work and documentation. There is a need for an Australia-wide strategic approach to ensure the future of nurses' work is visible, and SNTs are purposefully and correctly implemented across the country.

Efforts to Introduce an Indigenous Identifier in a Canadian Provincial Health Authority

Across Canada, Indigenous identity data is not routinely collected in healthcare settings. This paper focuses on [province] and whether the largest and only province-wide healthcare services organization in Canada, [healthcare organization name] should implement an Indigenous identifier in their new electronic medical record system. Due to the current absence of an Indigenous identifier, it is difficult to identify Indigenous peoples in administrative healthcare data to guide healthcare decision-making specifically for Indigenous peoples and to assist with population-specific disease surveillance and prevention programs. Moreover, it is often challenging for Indigenous nations, communities, and organizations to access this data. The data that does exist in [province] frequently excludes large segments of the Indigenous population. Indigenous researchers globally have called for improved health data in alignment with Indigenous research principles, data governance and sovereignty. This paper reports on an exploratory study of potential avenues to enhance availability of Indigenous specific health data in [province]. Of interest are possible supports, concerns, and potential barriers for the introduction of a policy to collect self-disclosed Indigenous identity data in the [org] new electronic medical record system. This research included interviews and focus group sessions with diverse subject matter experts including academics, Indigenous health practitioners and healthcare administrators. The project was embedded in the [removed] which is an [province] based research network for improving primary health with and for Indigenous peoples

Abstract C130: Evaluation of key performance indicators of a community-focused patient navigation program in an outpatient cancer center

Abstract Background: In 2021, Dana-Farber Cancer Institute’s (DFCI) Cancer Care Equity Program (CCEP) implemented a Community-Focused Patient Navigation (CFPN) program to support adult medical oncology patients from historically marginalized groups by proactively identifying and addressing patients’ barriers to cancer treatment. The program has been sequentially implemented in five cancer treatment centers, gastrointestinal, breast, thoracic, and gynecologic oncology and hematologic malignancies with plans to expand further. The purpose of this analysis is to evaluate CFPN against key performance indicators (KPIs) in gastrointestinal oncology, where the program was implemented first. Methods: Patients included in the analysis met CFPN eligibility criteria: adult medical oncology patients from zip codes in the Greater Boston area with significant socio-economic disparities and who agreed to receive support from the patient navigator. Program KPIs included in the analysis were appointment no show rate, New Patient Intake Questionnaire (NPIQ) response rate, and social work encounter rate. A pre- post analysis was used to identify trends in the KPIs of interest among navigated patients from the start of the program in October 2021 through May 2024 compared to similar groups of patients seen one year prior to the launch of the program who would have met CFPN eligibility criteria if the program had existed at that time. The data were taken from the cancer center’s electronic medical record system and visualized in a dashboard. Results: Preliminary findings show a significant decrease in appointment no show rate from 4.07% to 2.29% (p&amp;lt;0.05) and an increase in NPIQ response rate from 20.97% to 34.74% (p&amp;lt;0.05) among all navigated patients after the program was implemented compared to one year prior to the program launch. While not statistically significant, there was an increase from 28.23% to 43.16% in the social work encounter rate for patients engaged with the patient navigator. Conclusion: Preliminary analysis of CFPN demonstrates a positive trend toward meeting KPIs in gastrointestinal oncology and reveals outcomes that will guide further quantitative and qualitative analysis to identify areas of programmatic success and improvement. Next steps include conducting a more in-depth quantitative analysis on additional KPIs, including patient retention rate, stratified by demographics. CCEP also plans to conduct a qualitative analysis to identify patient and care team perceptions of CFPN through focus groups and/or structured interviews. An abstract describing CFPN program design was accepted for online publication at ASCO. This project was undertaken as a Quality Improvement Initiative at DFCI, and as such was not formally supervised by the Institutional Review Board per policy. Citation Format: Sarah Pohl, Emma Green, Katherine Miller, Ludmila Svoboda, Magnolia Contreras, Christopher Lathan. Evaluation of key performance indicators of a community-focused patient navigation program in an outpatient cancer center [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C130.