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Open Access 01.12.2025 | Research

Application of and research on 5G mobile nursing stations in clinical settings

verfasst von: Chunrong Li, Lichan Li, Jiexia Li, Rui Huang, Jianying Qin, Lirong Chen, Fujia Qin

Erschienen in: BMC Nursing | Ausgabe 1/2025

Abstract

Objective

This study investigated the application of and research on 5G mobile nursing stations in clinical settings.

Methods

A randomized sample of 300 nurses from one hospital was selected. The control group was established from December 2021 to September 2022 as the nurses used the computerized hospital information system (HIS) for nursing documentation and performed routine manual verification of the treatment and patient information. The observation group was established from October 2022 to August 2023 as the nurses used portable digital assistants (PDAs) from the 5G mobile nursing stations for nursing documentation and scanned quick response (QR) codes to verify treatment and patient information. This study compared the time taken by nurses in both scenarios to verify oral medicine dispensing and intravenous (IV) infusions against medical orders, as well as the time taken by nurses to input vital signs and complete nursing documentation.

Results

In the observation group, the average time for verifying IV infusions against medical orders was 52.34 ± 2.61 s, that for verifying oral medicine dispensing against medical orders was 29.32 ± 1.71 s, that for inputting vital signs was 46.82 ± 3.64 s, and that for completing nursing documentation was 86.81 ± 5.62 s. These times were significantly different from those of the control group, which were 59.84 ± 5.76 s, 35.30 ± 2.31 s, 58.58 ± 3.59 s, and 128.51 ± 6.19 s, respectively (P < 0.05).

Conclusions

The use of 5G mobile nursing station PDAs to scan QR codes to verify oral medicine dispensing, IV infusions, other treatments, and patient information resulted in faster verification speeds and 100% accuracy, ensuring accurate treatment information verification and patient safety. Moreover, the use of 5G mobile nursing station PDAs for nursing documentation shortened the time for nurses to input vital signs and complete nursing documentation, thereby improving their efficiency in completing documentation tasks and allowing them to devote more time to patients.
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Background

With the progress of science and technology, especially the innovative breakthrough of 5G technology, the traditional information systems show the following shortcomings [13]: Doctor’s advice in the computer record time and actual execution time has certain error, patient nursing information entry and signs acquisition using manual pattern omissions risk, also increased the nursing burden: nurses need to copy the patient’s vital signs and monitoring results, back to the nurse station after the entry, lead to entry information is not timely, the document and repeated entry at the same time, the nurse in nursing documents consumes more time. Manual identification of patients is more risky: manual examination of treatment and patient information, which consumes more time to check information, at the same time, in oral verification, there will be language imbalance between nurses and patients, and hearing error leads to errors in verification. The innovative breakthrough of 5G technology, its application in the medical field has gradually become an important part of smart medical care, bringing revolutionary changes to nursing work [4]. The advantages of 5G mobile care system in information sharing and collaborative work, which enables medical staff to obtain and update patient information more efficiently, and improves the overall quality of care [5]. The 5G mobile nursing system improves the quality of medical care and patient safety by optimizing the nursing process, strengthening drug management, and monitoring the effect of medication in real time. In order to reduce the writing burden of nurses, improve the efficiency of information processing, so that nurses can be put more into the work of direct care of patients. Guigang City People’s Hospital introduced 5G mobile nursing stations into clinical settings in December 2021 and realized a full hospital-wide implementation by October 2022.

Methods

The sample of the study was 300 cases determined using the sample size calculator According to the stratified random sampling: with 30 clinical departments as units, 10 nurses were selected from each unit, and each unit was randomly divided into the control and the observation groups. During the data collection process, the Measures for Ethical Review of Human Biomedical Research and the Principles of Information Confidentiality and Patient Consent in Health Research were strictly observed to ensure that the privacy of all participants was protected. We obtained informed consent of the participants before the commencement of the study. All data were anonymized to ensure data security.
The control group was established from December 2021 to September 2022 as the nurses used the computerized hospital information system (HIS) during this period for nursing documentation and performed routine manual verification of the treatment and patient information. The observation group was established from October 2022 to August 2023 as the nurses used portable digital assistants (PDAs) from the 5G mobile nursing stations for nursing documentation and scanned QR codes to verify treatment and patient information. The same nurses were included in the control group and the observation group. The inclusion criteria were as follows: nurses aged 25–50 years who worked independently. The exclusion criteria were as follows: nurses who worked as assistants (not independently) and those who did not pass the assessment after receiving information system training. The elimination criteria were as follows: nurses on extended leave, such as maternity leave, sick leave, or personal leave exceeding three months.

Control group

The nurses used a computerized hospital information system (HIS) for nursing documentation. Specifically, nurses measured the patient’s vital signs at the bedside or monitored the patient’s data, based on which they conducted a nursing assessment of the patient. Subsequently, they manually transcribed the vital signs data and assessment content. Finally, the participants returned to the nursing station to enter the information on the computer. Moreover, the nurses performed therapeutic nursing interventions. They employed conventional methods to verify treatment and patient information manually. This means that, to verify medication and patient information, nurses conducted three checks and seven verifications (the three checks include pre-operation, intra-operation, and post-operation checks; the seven verifications include checking the bed number, checking patient name, checking medication name, checking dosage, checking time, checking concentration, and checking administration route) before, during, and after the operation, in accordance with nursing operation protocols.

Observation group

Using 5G mobile nursing stations, each patient admitted to the hospital received unique printed wristbands containing basic patient information and QR codes on both sides. Nurses used PDAs to scan the QR codes, instantly acquiring basic patient information [6]. Each treatment operation form was equipped with corresponding QR codes or barcodes. When executing the treatment procedures, nurses scanned the patient’s wristband and QR codes associated with the treatment operation. If the medical order was correct, the system automatically displayed a checkmark (√) next to the order. In the case of medication or patient identity discrepancies, the PDA interface immediately generated error alerts and audible reminders, preventing confusion of one patient with another and eliminating other errors. Building on the hospital’s existing basic information platforms, 5G mobile nursing stations integrate various modern communication technologies, including 5G wireless networks, PDAs, patient wristbands, and QR codes into clinical nursing practices. The primary nurse carried the dedicated line PDA of the 5G mobile nursing station and input data with the PDA at the bedside immediately after measuring vital signs and assessing the patients. The PDA data were instantly synchronized and updated using the personal computer (PC)-side data of the mobile nursing station [7].

Observation indicators and evaluation criteria

Observation indicators

Observation indicators included the average time taken by nurses to verify intravenous (IV) infusions against medical orders, average time taken to verify oral medicine dispensation, average time taken to input vital signs, and average time taken to complete nursing documentation.

Evaluation criteria

Nurses use the handheld terminal (PDA) to follow the process, realizing accurate identification, quick check and other operations. The system automatically records the node data, calculates the drug execution time, the time required for the nurse, the system background queries the nurse operation time, and uses statistics to process and analyze the data. During the observation process, the research team followed the principle of no interference to ensure that the nurses could perform their duties normally, while capturing the advantages and limitations of the system in practice as much as possible. Efficiency was determined by comparing the average time taken by nurses in the two groups to verify IV infusions and dispense oral medicine. In addition, the average time taken by the nurses to input vital signs and complete nursing documentation in the two groups was compared.

Statistical methods

All data were analyzed using SPSS 22.0. T-tests and chi-square tests were conducted to analyze quantitative and categorical data, Time is in seconds, the measurement data are expressed as mean x ± s, respectively, with differences considered statistically significant at P < 0.05.

Results

Increased efficiency

When using 5G mobile nursing stations, nurses achieved faster efficiency in verifying medical orders for IV infusions and oral medicine dispensing. Nurse efficiency in verifying IV infusions and oral medications between two groups (Table 1).
Table 1
Comparison of intravenous infusion and oral medication time (second, s)
Group
Number of cases
Verification time of intravenous infusion (s, x ± s)
Verification time of oral medicine dispensing (s, x ± s)
Observation group
300
59.84 ± 5.76
35.30 ± 2.31
Control group
300
52.34 ± 2.61
29.32 ± 1.71
t
 
10.369
9.586
P
 
0.031
0.019

Increased speed

When using 5G mobile nursing stations, nurses achieved faster inputting of vital signs and completing nursing documentation. Comparison of nurse efficiency in recording vital signs and completing documentation between the two groups is shown in Table 2.
Table 2
Comparison of recording vital signs and completing nursing records between the two groups
Group
Number of cases
Average time spent on each patient (second, s)
Average time taken for inputting vital signs
(s, x ± s)
Average time taken for nursing documentation (s, x ± s)
Observation group
300
58.58 ± 3.59
128.51 ± 6.19
Control group
300
46.82 ± 3.64
86.81 ± 5.62
t
 
12.642
8.347
P
 
0.048
0.0264

Discussion

Traditional verification relies mainly on the manual verification of patient identities by nurses and inevitably involves oversight. This verification method poses high medical safety risks, particularly for special patient groups such as those unable to communicate effectively or are in a prolonged state of unconsciousness. Building on the existing basic information platforms of hospitals, 5G mobile nursing stations integrate various modern communication technologies, including 5G wireless networks, PDAs, patient wristbands, and QR codes, into clinical nursing practices. The primary nurse carries the dedicated PDA line of the 5G mobile nursing station and utilizes the 5G wireless network during treatment operations. By scanning the wristband of the patient and the QR codes on the treatment execution form with the PDA before, during, and after operations, the nurse verifies the patient information. If the scanned information matches the entry data, the nurse proceeds with the operation; otherwise, an alarm is triggered, prompting the nurse to check each link immediately [8]. The system has the following advantages:
(1)
The PDA is so compact that nurses can carry it conveniently in their pockets. The 5G dedicated line network responds swiftly, simplifying the code scanning operations. Moreover, It can also synchronize information with physician and nurse stations at computer terminals [9], ensuring timely data updates. This approach effectively utilizes information systems to fortify robust security barriers for nurses and enhances the efficiency of verifying treatment and patient information.
 
(2)
Relying on 5G networks, the nursing information system can be extended to the bedside, enabling nurses to scan the QR codes on patient wristbands, identify patients accurately, ensure precise verification, and efficiently intercept identification errors, thereby reducing adverse nursing events and ensuring patient safety.
 
(3)
The PDA enables fast and highly accurate scanning and verification, representing a significant reform in verification using information systems. Additionally, it supports querying the execution status of medical orders so that nurses can adjust accordingly and ensure the standardized and effective use of medicines, facilitating more refined and optimized nursing management.
 

Nursing efficiency

The clinical application of 5G mobile nursing stations reduces the time taken by nurses to input vital signs and complete nursing documentation, thereby enhancing nursing efficiency. Traditional nursing documentation requires manual transcription and repetitive entries. This adds to nurses’ workload and reduces their work efficiency. 5G mobile nursing stations simplify the workflow, enabling nurses to input data on-site upon obtaining vital signs, thereby allowing them to avoid data transcription and redundant data entry. Nurses can also provide onsite nursing documentation. Documents can be entered while nurses are observing and communicating with patients. Each saved document is promptly transmitted to the PC terminal for rapid and convenient processing. This further optimizes nursing processes, reduces nurses’ labor intensity during transcription, and improves the efficiency and quality of nursing documentation [10]. (1) In terms of recording admission assessments, formulating nursing plans, organizing discharge records, and writing handover records, 5G mobile nursing stations have brought major changes to the information-based nursing application mode and process of hospitals. They have promoted the standardization and simplification of nursing processes, reduced the labor intensity of nurses, and enhanced the efficiency and quality of nursing documentation. (2) The 5G mobile nursing stations enable nurses to input patient vital signs and complete patient admission assessments and health education at the bedside. This reduces nurses’ repetitive labor and improves their work efficiency. (3) Information sharing is a key feature of 5G mobile nursing stations. By interacting with various hospital information systems such as HIS, clinical information systems (CIS), nursing information systems (NIS), laboratory information systems (LIS), and radiology information systems (RIS), 5G mobile nursing stations enable nursing staff to collect, query, verify, and input medical orders or patient information anytime and anywhere, ensure that data entered into a system from one location can be accessed from multiple locations, and provide timely feedback on patient information to physicians. (4) The 5G mobile nursing stations extend HIS data resources to bedside nursing terminals, eliminating the need for traditionally printed treatment and recording sheets. Bedside work terminals are paperless, wireless, and convenient. Consequently, nurses spend less time performing repetitive and inefficient tasks. This facilitates the realization of “Nurses have more time to care for patients” (5) The primary nurse can assess patients using evaluation systems, such as the modified early warning score (MEWS) system. When the corresponding alert values are reached, feedback is sent directly to the physician’s PC terminal. Nurses can also promptly receive medical order notifications via PDAs, reminding the primary nurse to execute the orders promptly. This ensures the timely treatment of patients and guarantees patient safety [11].

Patient management

Traditionally, medical orders are executed after being checked and signed by nurses. It is often difficult to trace these orders because of their lengthy execution times. 5G mobile nursing stations support intelligent identity recognition, precise verification, and the closed-loop management of order execution. The entire medical order execution process is traceable via 5G mobile nursing stations, thus ensuring the safety of the quality of care [12]. (1) 5G mobile nursing stations, which includes IV infusion orders, pharmacy IV admixture services (PIVAS) for medicine dispensing and transfusion, oral medicine administration, medical order verification, blood transfusion execution, nursing order execution, and prompts and statistics [13]. Nurses scan the patient’s wristbands and treatment execution forms before, during, and after treatment. Precise time records are generated after each operation, the corresponding overtime reminders are made available, and workload statistics are gathered [14]. In addition, the intercepted information is reported for summary and display, thereby enabling the summarization of hidden nursing risks. (2) 5G mobile nursing stations improve patient transfer during surgery. For surgical patients, the PDA and PC terminal displays are synchronized. Patients are scanned for verification when leaving the ward, and upon arrival in the operating room, The operating room nurse scans the patient before they are sent to the operating room. After surgery, depending on the outcomes, scanning is performed before transferring patients to the recovery room. Stable, conscious patients are safely returned to the ward after scanning. The entire patient transfer process has become safer [15]. (3) 5G mobile nursing stations can promote health education. Departments establish specialized health education knowledge bases so that nurses can conduct bedside education tailored to patients with different diseases [16]. 5G mobile nursing stations facilitate comprehensive closed-loop management of medical order execution. They also offer task reminders based on nurses’ adherence to medical orders, thereby optimizing nursing workflows. Furthermore, 5G mobile nursing stations support intelligent identity recognition, which enables precise verification. At the same time, they achieve closed-loop management of medical order execution, making the entire process traceable and ensuring nursing safety. (4) 5G mobile nursing stations help optimize nursing processes and improve work efficiency. The smart medical order tracking system categorizes orders, allowing bedside reading, querying, verification, and execution, thus enhancing nursing efficiency.

Limitations of 5G mobile nursing stations

The above research results indicate that 5G mobile nursing stations have clear advantages in clinical applications. However, they also have certain limitations. For instance, the limited screen size of PDAs makes it difficult for older nursing personnel to view the information. Moreover, PDAs cannot visually display tables and unlike smartphones, they lack the capability to freely zoom in and out of the displayed content. They also lack the intuitive interface of computers, requiring nursing staff to adapt to their specific interface and usage. To solve these issues, software management personnel must further improve the PDA system so that PDAs can fully leverage their strengths and better serve healthcare professionals, ultimately benefiting patients.

Study limitations

The duration of this study was relatively short, and further research is required to obtain more rigorous conclusions. The adaptability of the system to complex medication scenarios, the acceptance of new technologies by nurses, and the demand of patients for information transparency are the key factors affecting the system efficacy. In order to ensure the continuous optimization of the system, these factors need to be fully taken into account in the design, such as the introduction of artificial intelligence to assist decision, improve the ability of the system to deal with complex situations, and conduct continuous technical training to improve the technical literacy of nurses. Long-term use of equipment consumption requires regular assessment of the accuracy and reliability of the obtained data to ensure patient safety and information effectiveness.

Conclusion

5G mobile nursing enables intelligent patient identification, reduces nurses’ verification pressure, facilitates the closed-loop management of medical order execution, ensures traceability throughout the execution process, and ensures patient safety. Furthermore, it effectively reduces nurses’ repetitive labor, allowing limited human resources to be fully utilized. It also enhances nursing work efficiency, so that “nurses can truly focus on caring for the patients.” Moreover, it aids in nursing quality control by shifting from end-of-line nursing quality supervision to process quality control and continuous improvement. This enables the dynamic assessment of potential safety risks, timely rectification of problems, and establishment of a robust prevention system, thereby promoting safety in the quality of care. In summary, 5G mobile nursing can improve the quality of hospital nursing services, making it worthy of clinical application and promotion.

Acknowledgements

Not applicable.

Declarations

The study was approved by the Ethical Committee of Guigang City People’s Hospital (Approval Number: E2024-078-01). Since the analysis was conducted through retrospective research based on the survey data received from the participating nurses, requirement of informed consent was exempted by the Ethical Committee of Guigang City People’s Hospital. The study was conducted in accordance with all applicable guidelines and regulations.
Not applicable.

Competing interests

The authors declare no competing interests.
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Metadaten
Titel
Application of and research on 5G mobile nursing stations in clinical settings
verfasst von
Chunrong Li
Lichan Li
Jiexia Li
Rui Huang
Jianying Qin
Lirong Chen
Fujia Qin
Publikationsdatum
01.12.2025
Verlag
BioMed Central
Erschienen in
BMC Nursing / Ausgabe 1/2025
Elektronische ISSN: 1472-6955
DOI
https://doi.org/10.1186/s12912-025-02794-7