Application and Effect Evaluation of Smart Blood Collection System in Outpatient Blood Collection in Oncology Specialty Hospitals
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Keywords

Smart healthcare
Intelligent blood collection
Outpatient nursing
Tumor hospital
Nursing quality
Specimen management

DOI

10.26689/jcnr.v10i4.14787

Submitted : 2026-04-19
Accepted : 2026-05-04
Published : 2026-05-19

Abstract

Objective: To explore the application effect of the intelligent blood collection system in the outpatient blood collection of cancer specialized hospitals, and to provide a basis for improving the quality of outpatient blood collection nursing and the medical experience of patients. Methods: 136,274 blood specimens collected using the traditional manual blood collection mode from January to June 2020 were selected as the control group, and 176,989 blood specimens collected using the intelligent blood collection system from January to June 2021 were selected as the observation group. The blood collection process time, blood specimen quality, incidence of adverse events and patient satisfaction of the two groups were compared. Measurement data were expressed as ± s and analyzed by t-test. Counting data were expressed as cases (%), and the χ2 test was used. A p value < 0.05 was considered statistically significant. Results: The registration and number collection time, specimen submission time and total process time of the observation group were significantly shorter than those of the control group (p < 0.001). The total error rate of blood samples decreased from 0.374% to 0.050%, and the error rate of blood collection tube usage decreased from 3.8% to 0.7%. The patient satisfaction rate increased from 88% to 96%, and the differences were statistically significant (p < 0.05). Conclusion: The intelligent blood collection system can optimize the outpatient blood collection process, shorten the service duration, reduce the error rate of specimens, improve the efficiency of nursing and patient satisfaction, and has good application value in the outpatient blood collection management of tumor specialized hospitals.

References

Li F, Song X, Zhang L, 2016, Application of Risk Management in Outpatient Blood Collection in a Tertiary Hospital. China Medical Ethics, 29(5): 855–857.

Du L, Shi X, 2012, Common Safety Problems and Countermeasures in Outpatient Venous Blood Collection. Inner Mongolia Traditional Chinese Medicine, 31(11): 162–163.

Liu L, Chen X, Lin S, et al., 2017, Application of Standardized Infection Management in an Outpatient Blood Collection Center. Chinese Journal of Hospital Infection, 27(11): 2622–2624.

Chinese Society of Laboratory Medicine, Chinese Medical Association, 2020, Chinese Expert Consensus on Management of Substandard Venous Blood Specimens. Chinese Journal of Laboratory Medicine, 43(10): 956–963.

Sun S, Zhang G, Zhang X, 2024, Research on Optimization and Countermeasures of Venous Blood Collection Process in Large Hospitals Based on Hazard Analysis and Critical Control Points and Process Reengineering Theory. China Medicine Herald, 21(12): 173–177.

Li C, Liu C, 2013, Application of Fully Automatic Intelligent Blood Collection System in Outpatient Management. Inner Mongolia Traditional Chinese Medicine, 32(32): 52–53.

Chen Z, Lu M, Chen D, et al., 2020, Clinical Study of Automatic Identification and Localization Technology of Blood Vessels by an Automated Venous Blood Collection Robot. Chinese Journal of Clinical Pharmacology, 36(19): 3148–3150.

Luo J, Mao W, Wang L, et al., 2023, Safety Evaluation and Cost-Effectiveness Analysis of Manual and Intelligent Venous Blood Collection in Outpatient Areas. China Nursing Management, 23(3): 326–330.

Yin H, Quan F, Zhang X, et al., 2023, Application of Mobile Intelligent Blood Collection System. Journal of Nursing, 38(5): 114–116.

Xiao H, Guo P, Jiang Y, 2021, Application Effect of Intelligent Blood Collection Management System in Outpatient Blood Collection Nursing Work. Medical Theory and Practice, 34(23): 4216–4218.

Wang S, Zhang J, Jiang Q, et al., 2022, A Study on the Content Adjustment and Clinical Application of the Guidelines for the Collection of Venous Blood Specimens. Nursing Research, 36(2): 341–344.

Chinese Branch of Laboratory Medicine, Chinese Medical Association, 2020, Unqualified Venous Blood Specimen Management. Chinese Journal of Laboratory Medicine, 43(10): 956–963.

Wang Y, Ruan H, Ruan Y, et al., 2025, Intelligent Blood Collection Robot: Key Technologies, Clinical Applications, and Future Challenges. Frontiers in Bioengineering and Biotechnology, 13: 1587114.

Luo J, Mao W, 2024, Efficiency and Cost-Benefit Analysis of the Manual and Intelligent Venous Blood Sampling in Outpatient Area of Hospital. Studies in Health Technology and Informatics, 315: 665–666.

Yuan S, Chen Y, Cai X, et al., 2021, Consensus on Safe Collection of Venous Blood Specimens in Adults. Chinese Journal of Infection Control, 20(9): 775–781.

Wang C, Gu M, Zhu J, et al., 2025, Evaluation of the Improvement in Specimen Hemolysis by Automatic Blood Collection Robot. Chinese Journal of Laboratory Medicine, 48(8): 1080–1084.

Ke Y, Kou X, 2021, Analysis of the Application Effect of Humanistic Care Nursing in the Rehabilitation of Tumor Patients. Chinese Pharmacology Bulletin, 37(11): 1630.

Jiang H, Wei X, Li Q, et al., 2018, Effects of Caring Touch on Depression and Pain in Elderly Oncology Patients and on Nurses’ Humanistic Care Quality. China Chronic Disease Prevention and Control, 26(12): 930–933.

Wang C, Gu M, Zhu J, et al., 2023, Clinical Application of a Fully Automated Blood Collection Robot and Its Assessment of Blood Collection Quality of Anticoagulant Specimens. Frontiers in Medicine, 10: 1251963.