According to the characteristics of pain and disease process， postherpetic neuralgia （PHN） can be classified into the category of "collaterals disease" in traditional Chinese medicine. The key pathogenesis of PHN includes toxin， stasis and deficiency. The main syndromes of collaterals disease are pathogenic toxin burning collaterals， static blood blocking collaterals， and collaterals depletion. Ashi points are mainly selected for treatment of PHN. For the syndrome of pathogenic toxin burning collaterals， dense fire needling is suitable for removing toxin and relieving pain. For the syndrome of static blood blocking collaterals， collateral bloodletting is suitable to remove stasis and relieve pain. For the syndrome of collaterals depletion， the combination of encircling fire needling， hair needling and transverse insertion with filiform needles， and Jiaji acupoint （EX-B2） needling is suitable for nourishing collaterals and relieving pain. In clinical practice， the most appropriate acupuncture regimen can be selected according to the differentiated syndrome of "collaterals disease"， and with adoption of the holistic pattern differentiation and treatment， the clinical efficacy can be strengthened.

Objective:To use the resting state functional network connectivity (FNC) method based on independent component analysis (ICA) to analyze the characteristics of FNC changes in patients with basal ganglia aphasia (BGA) after stroke, and to explore its occurrence and recovery mechanism under the intervention of acupuncture combined with language rehabilitation training.Methods:Using a prospective observational research method, 16 right-handed BGA patients who were treated at Beijing Hospital of Traditional Chinese Medicine, Capital Medical University from July 2021 to December 2022, as well as 14 healthy subjects matched in age, gender, education level, and handedness, were included. The resting state functional magnetic resonance imaging, demographic information, and Western Aphasia Examination data of healthy subjects and BGA patients before and after intervention were collected. The GIFT toolbox based on MATLAB platform was applied for ICA and resting state brain network FNC analysis. The FNC differences between BGA patients and healthy subjects were compared horizontally, and the FNC changes in BGA patients before and after intervention were compared vertically.Results:Compared with healthy subjects, post-stroke BGA patients showed decreased connectivity between the basal ganglia network, default network, and visual network before intervention, while increased connectivity between the auditory network, right frontoparietal network, and anterior cuneiform network; After the intervention of acupuncture combined with language rehabilitation training, the connectivity between the basal ganglia network, visual network, and anterior cuneiform network decreased, while the connectivity between the anterior convex network and bilateral frontoparietal network decreased, while the connectivity between the default network, auditory network, right frontoparietal network, and visual network increased. The BGA patient group showed enhanced connectivity between the basal ganglia network and the left frontoparietal network before and after intervention.Conclusions:The FNC changes between the basal ganglia network and other brain networks are key to reflecting the mechanism of BGA occurrence and language function recovery. Acupuncture combined with language rehabilitation training may improve language function by enhancing the connectivity between the basal ganglia network and the left frontoparietal network, and the redistribution of attention resources may also be one of the reasons for promoting language function recovery in BGA patients.

OBJECTIVE To discuss the application effect of health care failure mode and effect analysis(HFMEA) and root cause analysis(RCA) in the intelligent management of narcotic use in the hospital. METHODS Set up an analysis team to use HFMEA to list potential failure modes in the flow chart of intelligent management of narcotic use in the hospital, and analyze and evaluate the key failure modes in combination with RCA, determine the root cause, and then formulate improvement measures and evaluate the effects after implementation. RESULTS After the implementation of the improvement measures, the risk priority number of the eight potential failure modes decreased significantly(P<0.05). The satisfaction of pharmacists, doctors and nurses with the intelligent management process of narcotic use in the hospital increased from (88.39±2.21)% to (98.04±0.51)%, from (87.79±1.36)% to (97.55±1.24)%, and from (90.79±1.39)% to (95.68±1.30)%, respectively. CONCLUSION HFMEA combined with RCA can reduce the risk of narcotic drug abuse, ensure drug quality and safety, reduce the occurrence of dispensing errors, and ensure the rational clinical use of narcotic drugs.

OBJECTIVE To review the application and development of automatic intelligent drug cabinet in hospitals at home and abroad. METHODS The relevant research articles published from 2010 to 2022 were retrieved from CNKI, Wanfang, VIP, PubMed and other databases. RESULTS The application of automatic intelligent drug cabinet could shorten the execution time of inpatient medical orders, improve the work efficiency of pharmacists and doctors and nurses, improve the quality of drug management in wards and promote the transformation of hospital pharmaceutical care. CONCLUSION The construction of decentralized dispensing mode with automated intelligent drug cabinets as the core has important theoretical guiding significance and broad application prospects for the automation, informatization, intelligence and whole process management of drugs in medical institutions, and also helps to improve the level of medical pharmacy service management.