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This study explores how patient's laboratory result are accessed in pediatric emergency departments. The rapid turnaround of laboratory results and their timely access by the medical team are crucial for effective patient management and care decision-making. This study revealed a systematic access prioritization to the Electronic Health Record, led by physicians, followed by nurses, and then other healthcare staff Despite efforts to streamline access through computerized laboratory results, optimized laboratory turnaround time and integration of final results into the electronic health record remain key challenges. Delays in accessing analysis results issued by the central hospital laboratory are consistently experienced across various laboratory types, indicating broader systemic workflow issues rather than inefficiencies specific to individual laboratories.

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ChatGPT is an artificial intelligence (AI) chatbot application. In this study, we explore the creation and use of a customized version of ChatGPT designed specifically for patient education, called "Lab Explainer." Lab Explainer aims to simplify and clarify the results of complex laboratory tests for patients, using the sophisticated capabilities of AI in natural language processing; it analyses various laboratory test data and provides clear explanations and contextual information. The approach involved adapting OpenAI's ChatGPT model specifically to analyze laboratory test data. The results suggest that Lab Explainer has the potential to improve understanding by providing an interpretation of laboratory tests to the patient. In conclusion, the Lab Explainer can assist patient education by providing intelligible interpretations of laboratory tests.

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Background: In recent decades, the analytical quality of clinical laboratory results has substantially increased because of collaborative efforts. To effectively utilize laboratory results in applications, such as machine learning through big data, understanding the level of harmonization for each test would be beneficial. We aimed to develop a quantitative harmonization index that reflects the harmonization status of real-world laboratory tests. Methods: We collected 2021-2022 external quality assessment (EQA) results for eight tests (HbA1c, creatinine, total cholesterol, HDL-cholesterol, triglyceride, alpha-fetoprotein [AFP], carcinoembryonic antigen [CEA], and prostate-specific antigen [PSA]). This EQA was conducted by the Korean Association of External Quality Assessment Service, using commutable materials. The total analytical error of each test was determined according to the bias% and CV% within peer groups. The values were divided by the total allowable error from biological variation (minimum, desirable, and optimal) to establish a real-world harmonization index (RWHI) at each level (minimum, desirable, and optimal). Good harmonization was arbitrarily defined as an RWHI value ≤ 1 for the three levels. Results: Total cholesterol, triglyceride, and CEA had an optimal RWHI of ≤ 1, indicating an optimal harmonization level. Tests with a desirable harmonization level included HDL-cholesterol, AFP, and PSA. Creatinine had a minimum harmonization level, and HbA1c did not reach the minimum harmonization level. Conclusions: We developed a quantitative RWHI using regional EQA data. This index may help reflect the actual harmonization level of laboratory tests in the field.

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OBJECTIVES: Laboratory medical reports are often not intuitively comprehensible to non-medical professionals. Given their recent advancements, easier accessibility and remarkable performance on medical licensing exams, patients are therefore likely to turn to artificial intelligence-based chatbots to understand their laboratory results. However, empirical studies assessing the efficacy of these chatbots in responding to real-life patient queries regarding laboratory medicine are scarce. METHODS: Thus, this investigation included 100 patient inquiries from an online health forum, specifically addressing Complete Blood Count interpretation. The aim was to evaluate the proficiency of three artificial intelligence-based chatbots (ChatGPT, Gemini and Le Chat) against the online responses from certified physicians. RESULTS: The findings revealed that the chatbots' interpretations of laboratory results were inferior to those from online medical professionals. While the chatbots exhibited a higher degree of empathetic communication, they frequently produced erroneous or overly generalized responses to complex patient questions. The appropriateness of chatbot responses ranged from 51 to 64 %, with 22 to 33 % of responses overestimating patient conditions. A notable positive aspect was the chatbots' consistent inclusion of disclaimers regarding its non-medical nature and recommendations to seek professional medical advice. CONCLUSIONS: The chatbots' interpretations of laboratory results from real patient queries highlight a dangerous dichotomy - a perceived trustworthiness potentially obscuring factual inaccuracies. Given the growing inclination towards self-diagnosis using AI platforms, further research and improvement of these chatbots is imperative to increase patients' awareness and avoid future burdens on the healthcare system.

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Peloidotherapy and aromatherapy have been used for years in the treatment of numerous inflammatory conditions, including rheumatoid arthritis (RA). The exact mechanism of their action in RA is unclear. The goal of our research is to determine the effect of peloidotherapy and aromatherapy on inflammation parameters in RA patients. Our study included 20 patients of both sexes, with confirmed diagnosis of RA, older than 18 years. Patients were treated during 28 days with combination of peloidotherapy and aromatherapy. Serum samples for detection of levels of inflammation parameters were taken at two intervals: before the start of therapy and at the end of treatment. The results of our study show that there were no significant changes in the parameters of the complete blood count. Nevertheless, a statistically significant decrease in the serum concentration of two markers of inflammation-interleukin-6 (IL-6) and nitrogen-oxide (NO)-was detected. Correlation analyses results say that there is a synchronized drop in the serum concentrations of CRP and the sedimentation rate, and the serum concentrations of fibrinogen and IL-6 are in the same relationship as well as serum levels of IL-6 and NO. Bearing in mind the importance of IL-6 and NO in the pathogenesis of inflammation in RA, we conclude that the application of our therapeutic protocol can be a significant add-on treatment to classic immunomodulators. Due to the small number of study participants, the lack of a control group, and the short follow-up time of patients, additional research is needed.

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Health literacy has been defined and studied as an important component of a patient's ability to understand and obtain appropriate healthcare. However, a laboratory component of health literacy, as it pertains to the understanding of laboratory tests and their results, has not been previously defined. An analysis of readily available health literacy tools was conducted to determine laboratory testing-specific content representation. One hundred and four health literacy tools from a publicly available database were analyzed. Many of the health literacy tools were found to be lacking items related to laboratory testing. Of the health literacy tools that did contain a laboratory component, they were categorized pertaining to the laboratory test/testing content. Emerging from this process, eight competencies were identified that encompassed the entire range of laboratory-related aspects of health literacy. We propose that these eight competencies form the basis of a set of competencies needed for one to access, interpret, and act on laboratory results-a capacity we are referring to as "laboratory literacy."

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BACKGROUND: Incidental finding (IF) follow-up is of critical importance for patient safety and is a source of malpractice risk. Laboratory, imaging, or other types of IFs are often uncovered incidentally and are missed, not addressed, or only result after hospital discharge. Despite a growing IF notification literature, a need remains to study cost-effective non-electronic health record (EHR)-specific solutions that can be used across different types of IFs and EHRs. OBJECTIVE: The objective of this study was to evaluate the utility and cost-effectiveness of an EHR-independent emergency medicine-based quality assurance (QA) follow-up program in which an experienced nurse reviewed laboratory and imaging studies and ensured appropriate follow-up of results. METHODS: A QA nurse reviewed preceding-day abnormal studies from a tertiary care hospital, a community hospital, and an urgent care center. Laboratory values outside preset parameters or radiology over-reads resulting in clinically actionable changes triggered contact with an on-call emergency physician to determine an appropriate intervention and its implementation. RESULTS: Of 104,125 visits with 1,351,212 laboratory studies and 95,000 imaging studies, 6530 visits had IFs, including 2659 laboratory and 4004 imaging results. The most common intervention was contacting a primary care physician (5783 cases [88.6%]). Twenty-one cases resulted in a patient returning to the ED, at an average cost of $28,000 per potential life-/limb-saving intervention. CONCLUSIONS: Although abnormalities in laboratory results and imaging are often incidental to patient care, a dedicated emergency department QA follow-up program resulted in the identification and communication of numerous laboratory and imaging abnormalities and may result in changes to patients' subsequent clinical course, potentially increasing patient safety.

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Sudden sensorineural hearing loss (SSNHL) is defined as an abrupt hearing loss of more than 30 dB in three contiguous frequencies within 72 h. It is an emergency disease requiring immediate diagnosis and treatment. The incidence of SSNHL in Western countries' population is estimated between 5 and 20 per 1,00,000 inhabitants. The etiology of SSNHL remains unknown. Due to the uncertainty of the cause of SSNHL, at present, no specific treatment targets the cause of SSNHL, resulting in poor efficacy. Previous studies have reported that some comorbidities are risk factors for SSNHL, and some laboratory results may provide some clues for the etiology of SSNHL. Atherosclerosis, microthrombosis, inflammation, and the immune system may be the main etiological factors for SSNHL. This study confirms that SSNHL is a multifactorial disease. Some comorbidities, such as virus infections, are suggested to be the causes of SSNHL. In summary, by analyzing the etiology of SSNHL, more targeting treatments should be used to achieve a better effect.

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BACKGROUND: Delays in reviewing issued laboratory results in emergency departments (EDs) can adversely affect efficiency and quality of care. One opportunity to improve therapeutic turnaround time could be to provide real-time access to laboratory results on mobile devices available to every caregiver. We developed a mobile app named "Patients In My Pocket in my Hospital" (PIMPmyHospital) to help ED caregivers automatically obtain and share relevant information about the patients they care for including laboratory results. OBJECTIVE: This pre- and posttest study aims to explore whether the implementation of the PIMPmyHospital app impacts the timeliness with which ED physicians and nurses remotely access laboratory results while actively working in their real-world environment, including ED length of stay, technology acceptance and usability among users, and how specific in-app alerts impact on its effectiveness. METHODS: This single-center study of nonequivalent pre- and posttest comparison group design will be conducted before and after the implementation of the app in a tertiary pediatric ED in Switzerland. The retrospective period will cover the previous 12 months, and the prospective period will cover the following 6 months. Participants will be postgraduate residents pursuing a ≤6-year residency in pediatrics, pediatric emergency medicine fellows, and registered nurses from the pediatric ED. The primary outcome will be the mean elapsed time in minutes from delivery of laboratory results to caregivers' consideration by accessing them either through the hospital's electronic medical records or through the app before and after the implementation of the app, respectively. As secondary outcomes, participants will be queried about the acceptance and usability of the app using the Unified Theory of Acceptance and Use of Technology model and the System Usability Scale. ED length of stay will be compared before and after the implementation of the app for patients with laboratory results. The impact of specific alerts on the app, such as a flashing icon or sound for reported pathological values, will be reported. RESULTS: Retrospective data collection gathered from the institutional data set will span a 12-month period from October 2021 to October 2022, while the 6-month prospective collection will begin with the implementation of the app in November 2022 and is expected to cease at the end of April 2023. We expect the results of the study to be published in a peer-reviewed journal in late 2023. CONCLUSIONS: This study will show the potential reach, effectiveness, acceptance, and use of the PIMPmyHospital app among ED caregivers. The findings of this study will serve as the basis for future research on the app and any further development to improve its effectiveness. Trial Registration: ClinicalTrials.gov NCT05557331; https://clinicaltrials.gov/ct2/show/NCT05557331. TRIAL REGISTRATION: ClinicalTrials.gov NCT05557331; https://clinicaltrials.gov/ct2/show/NCT05557331. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/43695.

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We aimed to determine the pattern of delay and its effect on the short-term outcomes of total gastrectomy before and during the coronavirus disease 2019 (COVID-19) pandemic. Overlaid line graphs were used to visualize the dynamic changes in the severity of the pandemic, number of gastric cancer patients, and waiting time for a total gastrectomy. We observed a slightly longer waiting time during the pandemic (median: 28.00 days, interquartile range: 22.00-34.75) than before the pandemic (median: 25.00 days, interquartile range: 18.00-34.00; p = 0.0071). Moreover, we study the effect of delayed surgery (waiting time > 30 days) on short-term outcomes using postoperative complications, extreme value of laboratory results, and postoperative stay. In patients who had longer waiting times, we did not observe worse short-term complication rates (grade II-IV: 15% vs. 19%, p = 0.27; grade III-IV: 7.3% vs. 9.2%, p = 0.51, the short waiting group vs. the prolonged waiting group) or a higher risk of a longer POD (univariable: OR 1.09, 95% CI 0.80-1.49, p = 0.59; multivariable: OR 1.10, 95% CI 0.78-1.55, p = 0.59). Patients in the short waiting group, rather than in the delayed surgery group, had an increased risk of bleeding in analyses of laboratory results (plasma prothrombin activity, hemoglobin, and hematocrit). A slightly prolonged preoperative waiting time during COVID-19 pandemic might not influence the short-term outcomes of patients who underwent total gastrectomy.

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There is currently limited clinical ability to identify COVID-19 patients at risk for severe outcomes. To unbiasedly identify metrics associated with severe outcomes in COVID-19 patients, we conducted a retrospective study of 835 COVID-19 positive patients at a single academic medical center between March 10, 2020 and October 13, 2020. As of December 1, 2020, 656 (79%) patients required hospitalization and 149 (18%) died. Unbiased comparisons of all clinical characteristics and mortality revealed that abnormal pH (OR 8.54, 95% CI 5.34-13.6), abnormal creatinine (OR 6.94, 95% CI 4.22-11.4), and abnormal PTT (OR 4.78, 95% CI 3.11-7.33) were most significantly associated with mortality. Correlation with ordinal severity scores confirmed these associations, in addition to associations between respiratory rate (Spearman's rho  = -0.56), absolute neutrophil count (Spearman's rho  = -0.5), and C-reactive protein (Spearman's rho  =  0.59) with disease severity. Unsupervised principal component analysis and machine learning model classification of patient demographics, laboratory results, medications, comorbidities, signs and symptoms, and vitals are capable of separating patients on the basis of COVID-19 mortality (AUC 0.82). This retrospective analysis identifies laboratory and clinical metrics most relevant to predict COVID-19 severity.

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In recent years, many people have experienced different problems and challenges in using the national Danish health portal sundhed.dk, as they find it difficult to obtain desired information about their own laboratory test results and treatment plans. Therefore, the aim of this study is to find solutions, to make patients laboratory results easily accessible and understandable for the users. To achieve this aim there will be used two participatory design methods, video observation and questionnaires. The results shows that only 43.5% normally understand their test results, whereas the remaining participants need help to understand their results.

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BACKGROUND: Personal clinical data, such as laboratory test results, are increasingly being made available to patients via patient portals. However, laboratory test results are presented in a way that is difficult for patients to interpret and use. Furthermore, the indications of laboratory test results may vary among patients with different characteristics and from different medical contexts. To date, little is known about how to design patient-centered technology to facilitate the interpretation of laboratory test results. OBJECTIVE: The aim of this study is to explore design considerations for supporting patient-centered communication and comprehension of laboratory test results, as well as discussions between patients and health care providers. METHODS: We conducted a user-centered, multicomponent design research consisting of user studies, an iterative prototype design, and pilot user evaluations, to explore design concepts and considerations that are useful for supporting patients in not only viewing but also interpreting and acting upon laboratory test results. RESULTS: The user study results informed the iterative design of a system prototype, which had several interactive features: using graphical representations and clear takeaway messages to convey the concerning nature of the results; enabling users to annotate laboratory test reports; clarifying medical jargon using nontechnical verbiage and allowing users to interact with the medical terms (eg, saving, favoriting, or sorting); and providing pertinent and reliable information to help patients comprehend test results within their medical context. The results of a pilot user evaluation with 8 patients showed that the new patient-facing system was perceived as useful in not only presenting laboratory test results to patients in a meaningful way but also facilitating in situ patient-provider interactions. CONCLUSIONS: We draw on our findings to discuss design implications for supporting patient-centered communication of laboratory test results and how to make technology support informative, trustworthy, and empathetic.

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People are increasingly able to access their laboratory (lab) results using patient-facing portals. However, lab reports for citizens are often identical to those for clinicians; without specialized training they can be near impossible to interpret. In this study, we inspected a mobile health application (app) that converts traditional lab results into a citizen-centred format. We used the Health Literacy Online (HLO) checklist to inspect the app. Our inspection revealed that most of the app's strengths were related to its Organization of Content and Simple Navigation and most of its weaknesses were related to Engage Users. We also identified several usability and user experience (UX) issues that were beyond the purview of the HLO checklist. Although this app represents an important step towards making lab results universally accessible, we identified several opportunities for improvements that could increase its value to citizens.

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The aim of the present study was to analyze the differences in laboratory results between patients with severe and moderate coronavirus disease 2019 (COVID-19) for clinical intervention. The laboratory results of patients with COVID-19 between December 2019 and May 2020 were assembled from the Medline, Embase and Cochrane Library databases. A meta-analysis was conducted, calculating the individual and pooled odds ratios (ORs) with relative 95% confidence intervals (95% CIs) using Review Manager 5.3. The available data of 1,534 patients from 6 studies were included in this analysis. The results demonstrated that the incidence of leukocytosis, lymphocytopenia, increased procalcitonin (PCT), C-reactive protein (CRP), aspartate aminotransferase (AST) and lactic dehydrogenase (LDH) levels was associated with a nearly 3-fold (OR=3.44; 95% CI: 2.15-5.49), 4-fold (OR=4.39; 95% CI: 1.82-10.60), 5-fold (OR=5.28; 95% CI: 3.42-8.15), 4-fold (OR=3.99; 95% CI: 2.61-6.12), 3-fold (OR=3.02; 95% CI: 2.13-4.26) and 8-fold (OR=8.33; 95% CI: 1.75-39.69) higher risk of severe COVID-19 infection, respectively. These findings indicated that serial white blood cell count, lymphocyte count, CRP, PCT, LDH and AST measurements may be useful for predicting progression towards a more severe form of COVID-19.

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Background: We investigated the effects of anthropometric, laboratory, and lifestyle factors on the development of non-alcoholic fatty liver disease (NAFLD) in a nationwide, population-based, 4-year retrospective cohort. Methods: The propensity score-matched study and control groups contained 1,474 subjects who had data in the Korean National Health Insurance Service-National Sample Cohort in 2009, 2011, and 2013. NAFLD was defined using medical records of a diagnosis confirmed by primary clinicians and meeting two previously validated fatty liver prediction models. Chronological changes in anthropometric variables, laboratory results, and lifestyle factors during two periods were compared between patient and control groups in order to find out parameters with consistent dynamics in pre-NAFLD stage which was defined as period just before the NAFLD development. Results: Among the 5 anthropometric, 10 laboratory, and 3 lifestyle factors, prominent chronological decremental changes in serum triglycerides were consistently observed during the pre-NAFLD stage, although the degrees of changes were more predominant in men (-9.46 mg/dL) than women (-5.98 mg/dL). Furthermore, weight and waist circumference changes during the pre-NAFLD stage were noticeable only in women (+0.36 kg and +0.9 cm for weight and waist circumference, respectively), which suggest gender difference in NAFLD. Conclusion: Early screening strategies for people with abrupt chronological changes in serum triglycerides to predict NAFLD development before the progression is recommended.

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BACKGROUND: The novel coronavirus disease 2019 (COVID-19) was emergency turned into global public health after the first patients were detected in Wuhan, China, in December 2019. The disease rapidly expanded and led to an epidemic throughout China, followed by the rising number of cases worldwide. Given the high prevalence of COVID-19, rapid and accurate diagnostic methods are immediately needed to identify, isolate and treat the patients as soon as possible, decreasing mortality rates and the risk of public contamination by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2). METHODS: This case-control study was conducted in two hospitals in Alborz Province in Iran. All recruited cases in this study were symptomatic adults hospitalized as COVID-19 patients with compatible Computed tomographic (CT) scan findings and available rRT-PCR results. The patients were recruited in this study. The patients were categorized into positive and negative rRT-PCR groups and evaluated for symptoms, initial vital signs, comorbidity, clinical and laboratory findings. Finally, the results were assessed by SPSS software. RESULTS: Between March 5 to April 5, 2020, 164 symptomatic COVID-19 patients were studied. In total, there were 111 rRT-PCR positive (67.6%) and 53 rRT-PCR negative patients (32.4%). In terms of statistics, the frequency of symptoms revealed no difference, except for cough (P.V:0.008), dizziness (PV: 0.048), and weakness (P.V:0.022). Among initial vital signs, PR (P.V:0.041) and O2 Saturation (PV: 0.014) were statistically different between the two groups. Evaluation of comorbidities revealed no difference except for hyperlipidemia (P.V:0.024). In the comparison of laboratory findings, only WBC count (PV: 0.001), lymphocyte count (PV: 0.001), and Hb (P.V:0.008) were statistically different between the two groups. CONCLUSION: In case of the negative rRT-PCR result, it is necessary to take a logical approach, and we recommended that the physician decides according to clinical manifestations, laboratory findings, and positive CT results.

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The outbreak of corona virus disease-19 (corona virus disease-19, COVID-19) caused a huge human disaster from the end of 2019 which is caused by SARS-CoV-2. It will cause damage to multiple organs function in the disease occurrence and development, viral nucleic acid, antibody and serological biochemical immune indicators are mainly indicators of clinical laboratory. The results of these indicators can reflect the organs function of patients and further guide clinical treatment. In this paper, the detection and clinical application of COVID-19 laboratory indicators are reviewed.

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