OBJECTIVE Establish a quantitative analysis method for salidroside （Sal） in mouse serum， bronchoalveolar lavage fluid （BALF）， and lung tissue， and compare the distribution differences of Sal and its liposomes. METHODS Using high-performance liquid chromatography（HPLC）， Welch Xtimate C18 was used as the chromatographic column， with methanol-formic acid aqueous solution （formic acid volume fraction： 0.1% for serum and BALF detection， 0.2% for lung tissue detection） as the mobile phase， flow rate of 1.0 mL/min， detection wavelength of 275 nm， column temperature of 30 ℃， and injection volume of 10 μL. Serum， BALF， and lung tissue homogenate samples were precipitated with methanol for protein analysis. Twelve mice were randomly divided into Sal group and Sal liposome group， and the concentrations of Sal in serum， BALF， and lung tissue were detected after intragastric administration corresponding liquid medicine at a dose of 300 mg/kg （calculated as Sal） for 0.5 h. RESULTS The linear ranges of Sal in serum， BALF， and lung tissue were 1.56-200.00 μg/mL， 1.56-100.00 μg/mL， and 6.24-400.00 μg/g， respectively （all r＝0.999 9）， with intra-day RSD of 1.35%-3.87%， 1.10%-2.75%， and 1.90%-3.86%， respectively； the inter-day RSD of 3.38%-5.11%， 2.22%- 4.36%， and 2.41%-4.73%， respectively. The relative accuracies were 97.95%-101.61%， 98.29%-101.82%， and 97.41%- 106.94%， respectively. The stability RSDs were all less than 6%. Compared with the Sal group， the Sal liposome group significantly increased the concentration of Sal in BALF of mice （P＜0.05）， and significantly decreased the concentration of Sal in serum and lung tissue （P＜0.05）. CONCLUSIONS The HPLC method established in this study is suitable for quantitative analysis of Sal in mouse serum， BALF， and lung tissue. Sal liposomes have a tendency to distribute towards the alveolar cavity during early administration.

In order to better serve the military and accelerate the digital transformation of medical treatment，we studied how to integrate and apply 5G private network technology in emergency information system，so as to improve the utilization rate of emergency resources，win more time for emergency patients，and establish an efficient and quality medical emergency service model，thus enhancing the health service capability of military hospitals. Based on the high bandwidth and low latency technologies of 5G private network，this study aimed to realize smooth real-time transmission and processing of medical data under multi-type service pattern of medical emergency，and to broaden the scope of medical emergency services of hospitals.

In order to better serve the military and accelerate the digital transformation of medical treatment，we studied how to integrate and apply 5G private network technology in emergency information system，so as to improve the utilization rate of emergency resources，win more time for emergency patients，and establish an efficient and quality medical emergency service model，thus enhancing the health service capability of military hospitals. Based on the high bandwidth and low latency technologies of 5G private network，this study aimed to realize smooth real-time transmission and processing of medical data under multi-type service pattern of medical emergency，and to broaden the scope of medical emergency services of hospitals.