New Medical Sciences, as a crucial initiative in transforming and upgrading medical education and healthcare services in China, has promoted deep integration of public health with multiple disciplines. However, the public health discipline still faces numerous challenges such as disease prevention system reconstruction, insufficient technological innovation, and the shortage of professional talents. To address these issues, this paper discusses the current status, challenges, and development of the public health discipline in the context of New Medical Sciences, and proposes strategies including reforming talent cultivation models, enhancing practical capabilities, strengthening faculty development, promoting the innovation of scientific research and social service, actively utilizing artificial intelligence technology, and optimizing international cooperation. These measures aim to achieve innovative development in the public health discipline, and better serve the Healthy China strategy and global public health initiatives.

New Medical Sciences, as a crucial initiative in transforming and upgrading medical education and healthcare services in China, has promoted deep integration of public health with multiple disciplines. However, the public health discipline still faces numerous challenges such as disease prevention system reconstruction, insufficient technological innovation, and the shortage of professional talents. To address these issues, this paper discusses the current status, challenges, and development of the public health discipline in the context of New Medical Sciences, and proposes strategies including reforming talent cultivation models, enhancing practical capabilities, strengthening faculty development, promoting the innovation of scientific research and social service, actively utilizing artificial intelligence technology, and optimizing international cooperation. These measures aim to achieve innovative development in the public health discipline, and better serve the Healthy China strategy and global public health initiatives.

Third-party payments are widely used in public hospitals,bringing great convenience to hospitals and pa-tients.However,this also increases the difficulty and workload of financial reconciliation.In order to improve financial efficien-cy,many public hospitals have established or introduced unified payment reconciliation platforms to achieve automatic reconcilia-tion.However,in the actual operation process,there are risks such as system risks,fund management risks,refund risks,and information security risks.At the same time,there is currently limited research on internal control of unified payment reconcilia-tion platforms in China.Therefore,this paper uses literature analysis method and the COSO internal control framework to build an internal control system for the unified payment reconciliation platform,establish a sound organizational structure for platform man-agement,establish a risk assessment mechanism,control key control activities,enhance information communication,and promote the high-quality development of public hospitals.

Objective To reduce the amount of public hospital arrears,strengthen debt management,improve the over-all operational efficiency of the hospital,promote fine management of the hospital,and boost high-quality development of the hos-pital.Methods We analyzed relevant data collected from 3 000 inpatients,including 486 with outstanding debts,treated at a tertiary public hospital in Chongqing between 2019 and 2023.Single factor analysis and binary logistic regression analysis were performed to identify the causes of medical arrears,and subsequently propose effective debt management strategies.Results Uni-variate analysis revealed that factors such as medical insurance status,department,gender,age,and cause of arrears significantly influenced the occurrence of medical arrears(P＜0.05).The analysis based on the binary logistic model exhibited a good fit with the observed values,with the value of each classification factor's significance less than 0.05.The incidence of arrears was higher among self-funded patients compared to those with medical insurance.The surgical department had the highest rate of arrears,ne-cessitating specialized training for better debt management.The patients aged between 41 and 60 had the highest arrear rate,indi-cating the need for professionally trained nurses to pay close attention to this age group.The primary reasons for arrears included deliberate evasion,disputes,questionable sources(green passage),unforeseen public events,and economic difficulties.Conclusion To effectively manage medical arrears,hospitals should enhance their debt management systems,delineate depart-mental responsibilities and management processes,and implement stringent controls at key points from admission to discharge.

Objective:To explore the risk factors of death in patients receiving ECMO treatment and to construct a nomogram prediction model.Methods:The clinical data of 412 consecutive patients with acute heart and (or) pulmonary failure who received ECMO treatment between April 2018 and June 2022 were retrospectively included.According to the patients' in-hospital survival, univariate correlation analysis was used to select risk factor variables, and then Lasso regression was used to screen all variables, combined with common variables, combined with clinical practice, plotted a nomogram to predict the probability of early mortality, using the area under the ROC curve (AUC), Harrell C index and calibration curve were used to evaluate and internally validate the performance of the model.Decision curve analysis was applied to assess its clinical utility.Results:Cerebral infarction, diabetes, history of cardiopulmonary resuscitation, neurological complications, acute kidney injury, lactate, hemoglobin, albumin, and platelet count were risk factors for death in patients receiving ECMO ( P<0.05).At the same time, according to the actual situation and difference variables, we constructed a nomogram with high reliability to predict the probability of death. Conclusions:The study identified the risk factors of death in patients receiving ECMO, successfully constructed and validated a nomogram prediction model, and provided a simple and reliable tool for ECMO death prediction, which is of great significance for individualized treatment of patients.

BACKGROUNDThe prognostic values of interim and post-therapy fluorine-18-fluorodeoxyglucose ((18)F-FDG) positron emission tomography (PET) and PET/computed tomography (CT) scanning have been confirmed in several subtypes of lymphoma. However, its prognostic value in Burkitt's lymphoma has not been clearly defined. The aim of the present study was to assess the prognostic value of PET/CT scanning during different treatment processes of Burkitt's lymphoma.

METHODSA total of 29 adult patients with newly diagnosed Burkitt's lymphoma were retrospectively involved in this study; of them, 23 patients underwent baseline PET/CT, 15 patients underwent mid-therapy PET/CT after 1-4 cycles of chemotherapy, and 17 patients underwent post-therapy PET/CT after all planned first-line chemotherapy cycles. Mid-therapy and post-therapy PET/CT results (positive vs. negative) were visually interpreted according to the criteria of the International Harmonization Project. The reduction in the maximum standardizes uptake values (∆SUVmax) of 25%, 50%, and 75% were regarded as cutoff points. Overall survival (OS) and progression-free survival (PFS) were regarded as the major endpoints.

RESULTSThe median OS and PFS were 27.6 months (range 6.5-78.3 months) and 27.2 months (range 3.0-78.3 months), respectively. The median SUVmax of the baseline PET/CT was 18.3 (range 1.6-35.9), whereas the median SUVmax of the mid-therapy and post-therapy PET/CT decreased to 4.0 (range 0-17.6) and 3.0 (range 0-14.5), respectively. The patients' Eastern Cooperative Oncology Group (ECOG) scores (<2 vs. ≥2) were significantly associated with the baseline PET/CT SUVmax. The mid-therapy and post-therapy PET/CT results (positive vs. negative) showed no significant association with OS or PFS. The optimal cutoff ∆SUVmax from the baseline to the post-therapy PET/CT that could predict a change in OS in patients with Burkitt's lymphoma was 50% (P = 0.019).

CONCLUSIONS(18)F-FDG uptake was intense in Burkitt's lymphoma, and there was a significant reduction in SUVmax during the interim and post-therapy PET/CT procedures. A ∆SUVmax of greater than 50% was a favorable cutoff point to predict the OS of Burkitt's lymphoma patients.

Aged ; Antineoplastic Combined Chemotherapy Protocols ; therapeutic use ; Burkitt Lymphoma ; diagnostic imaging ; drug therapy ; Female ; Fluorodeoxyglucose F18 ; Humans ; Kaplan-Meier Estimate ; Male ; Middle Aged ; Positron Emission Tomography Computed Tomography ; methods ; Prognosis ; Radiopharmaceuticals ; Retrospective Studies ; Treatment Outcome