Objective To explore the application of the DeepSeek large languagemodel in assessing prescription ration-ality and evaluating its implementation effectiveness.Methods A random sample of 5 099 outpatient and emergency prescrip-tion records from our hospital in a specific month of 2024 was collected.The DeepSeeK large language model employs vector data-base technology for prescription review.An evaluation metrics analysis was conducted between the DeepSeeK's reviews and phar-macist evaluations.Performance metrics including accuracy,precision,recall,specificity,and F1 were systematically calculated.Error pattern analysis encompassed false positive rate,false negative rate,and categorical comparison of discrepant prescriptions.Statistical deviation assessments were performed using x2 and Kappa coefficient to quantify inter-rater consistency.Results This study contains a total of 5 099 data,pharmacist group's review results are reasonable for 4 879 cases and unreasonable for 220 cases.In contrast,The Deepseek model's review results in the AI group are reasonable for 4904 cases and unreasonable for 195 cases.The evaluation accuracy rate of the DeepSeeK model is approximately 93.82%,the precision rate is approximately 25.64%,the recall rate is approximately 22.73%,the specificity is approximately 97.03%,and the F1 value of the model is ap-proximately 24.13%.Conclusion With rapid advancements in artificial intelligence,large language models like DeepSeek,leveraging their superior language comprehension and knowledge reasoning capabilities,can effectively assist pharmacists in pre-scription review,offering new technical support for clinical medication safety.

Objective To explore the application of the DeepSeek large languagemodel in assessing prescription ration-ality and evaluating its implementation effectiveness.Methods A random sample of 5 099 outpatient and emergency prescrip-tion records from our hospital in a specific month of 2024 was collected.The DeepSeeK large language model employs vector data-base technology for prescription review.An evaluation metrics analysis was conducted between the DeepSeeK's reviews and phar-macist evaluations.Performance metrics including accuracy,precision,recall,specificity,and F1 were systematically calculated.Error pattern analysis encompassed false positive rate,false negative rate,and categorical comparison of discrepant prescriptions.Statistical deviation assessments were performed using x2 and Kappa coefficient to quantify inter-rater consistency.Results This study contains a total of 5 099 data,pharmacist group's review results are reasonable for 4 879 cases and unreasonable for 220 cases.In contrast,The Deepseek model's review results in the AI group are reasonable for 4904 cases and unreasonable for 195 cases.The evaluation accuracy rate of the DeepSeeK model is approximately 93.82%,the precision rate is approximately 25.64%,the recall rate is approximately 22.73%,the specificity is approximately 97.03%,and the F1 value of the model is ap-proximately 24.13%.Conclusion With rapid advancements in artificial intelligence,large language models like DeepSeek,leveraging their superior language comprehension and knowledge reasoning capabilities,can effectively assist pharmacists in pre-scription review,offering new technical support for clinical medication safety.

OBJECTIVE： To provide reference for perioperative prophylactic use of antibiotics in urinary surgery department. METHODS： In response to irrational perioperative prophylactic use of antibiotics in urinary surgery department， taking type Ⅱ incision surgery and special diagnosis and treatment and preventive drug use as an example， the management and control mode for perioperative prophylactic use of antibiotics was established and intervened in urinary surgery department so as to intervene in antibiotics use through formulating surgical type risk classification system， forming perioperative medication clinical pathways such as type Ⅱ incision surgery and urinary calculi surgery with different infection risk， establishing tracking and supervision mechanism. The rationality indexes of perioperative prophylactic medication such as the rate of prophylactic antibiotics use were compared among related medical records collected from urinary surgery department within 3 months before and after intervention （186 records before intervention， 179 records after intervention）. Antibiotics use density （AUD） and amount of antibiotics in urinary surgery department were compared within 3 months before and after intervention to evaluate management and control effect. RESULTS： Among surveyed medical records， compared with before intervention， the rate of prophylactic antibiotics use was decreased from 97.3％ （181/186） to 91.6％ （164/179）； the rate of rational drug selection was increased from 17.7％ （32/181） to 71.3％ （117/164）； correct rate of medication timing was increased from 9.9％ （18/181） to 32.3％ （53/164）； the rate of rational post-operative prevention course was increased from 17.1％ （31/181） to 37.2％ （61/164）， with statistical significance （P＜0.05 or P＜0.01）. Average AUD was deceased from 83 DDD to 70 DDD within 3 months after intervention， and the amount of antibiotics was decreased from 689 669.23 yuan to 531 040.11 yuan. CONCLUSIONS： Established management and control mode for perioperative prophylactic use of antibiotics in type Ⅱ incision surgery and special diagnosis and treatment and preventive drug use can effectively reduce the rate of prophylactic antibiotics， AUD and amount of antibiotics in urinary surgery department， and promote rational use of antibiotics during perioperative period.

The authors described the architecture of a real-time platform designed to monitor medical equipments.Three types of data collectors were employed to collect information into the background servers for real-time analysis and presentation.Such a platform can effectively enable the hospital to manage its medical equipments, for their positioning, assets management and risk control.

Building a digitized and customer-oriented hospital customer service system is conducive to better service at the hospital.Such a system is an open customer service and management system,comprising digitized customer relation management and service platform,digital intelligent IVR customer service system,video interaction service system for hospital wards,IOT-based health management and service system,and 3G-based seamless pre-hospital and post-hospital green emergency rescue system,as well as other customer service systems including the outpatient auto-calling,self-service,information release,payment management,and IOT-based customer management system.By means of thorough customer analysis,automatic service trigger-off mechanism and considerate customer service,digitized hospital customer service system realized value of the hospital while providing the customers with valuable services.

Objective The care requirements and the waiting time of infusion outpatients in emergency department were evaluated to innovate the mode of outpatient and emergency infusion management. Methods 400 infusion outpatients were randomly assessed with the care requirements assessment form which were designed by ourselves. Results The accurate, timely medication treatment and care, a quiet, comfortable environment and the sharply puncture technique were wanted by most outpatients. Conclusions Information management mode-wireless mobile outpatient infusion management system, provides a technologically advanced, safe, reliable, practical solutions for emergency fluid management.

It is inevitable for hospitals to introduce the concept of hospital client relationship management in order to upgrade service quality．The large population and number of visits of patients have been the bottle-neck for hospitals to implement management of hospital client relationship．Digital technologies make it possible for the hospital to utilize the internal clinical data systems inside the hospital and the communication platforms outside the hospital so as to implement functions of instant interaction and collective management such as one-to-one conversation,SMS,voice messages,emails,etc．This paper has addressed the features of hospital client relationship management,the structure and major functions of a digital platform for hospital client relationship management and its implications and conclusions.

OBJECTIVE:To introduce the application of modern information technology in the improvement of management level of TCM decocting center. METHODS:The structure and characteristics of TCM decocting center were analyzed by introducing the implementation of TCM decocting center. The value of TCM decocting center and its need of perfection wer summarized. RESULTS:The application of modern information technology improved the management of TCM decocting center. CONCLUSIONS:Digital management of TCM decocting center is worth of spreading and researching.

Objective The setting of "doctor-patient communication" platform aims to innovate service pattern for hospital customers by constructing the communication bridge between hospital and patients via digital ways. Methods The platform was based on electronic patient records system and hospital information system. The internal information could interchange with social communication platform (cell phone, PHS, internet) via that system to realize the communication between doctors and patients. Results The platform could easily realize immediate interaction and group administration to customers in the form of manual communication, short massage, voice service and email. Conclusion The platform innovates both the service pattern for hospital customers and hospital customer relationship management (CRM) mode, and it has a bright application future.

AGV is one of the major hospital transport systems, and its domestic application is few. AGV belongs to wheeled mobile robot, which is battery dynamic, unmanned driving, high maneuverable, and can transport over 400Kg wheelbarrow. There are two types of AGV navigations: inner and outer navigations. Basically AGV system includes auto- navigation vehicles, different type of wheelbarrow, work station, central control system, and communication unit. This article introduces the application development situation of AG0V, the major technical characters, auto-navigations and the major component of this system.