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Chinese Journal of Clinical Laboratory Management(Electronic Edition) ›› 2017, Vol. 05 ›› Issue (04): 232-235. doi: 10.3877/cma.j.issn.2095-5820.2017.04.008

Special Issue:

• Clinical Research • Previous Articles     Next Articles

Strengthen the biobank information system management using PDCA cycle

Liping Wang1, Yijun Ju2, Wan Tang3, Youwen Cui2, Rui Mao2, Jun Lu1, Xin Jin1, Yunlong Pan1,()   

  1. 1. Department of Biobank, Clinical Medical School of Yangzhou University, Subei People′s Hospital, Yangzhou 225001, China
    2. Department of Information, Clinical Medical School of Yangzhou University, Subei People′s Hospital, Yangzhou 225001, China
    3. Eternal Health Information Technology Co. Ltd, Shanghai 200237, China
  • Received:2017-08-03 Online:2017-11-28 Published:2017-11-28
  • Contact: Yunlong Pan
  • About author:
    Corresponding Author: Pan Yunlong, Email:

Abstract:

Objective

To explore the effect of using the PDCA (plan, do, check, action) cycle theory in biobank information management system.

Methods

On the basis of PDCA cycle theory, quantity data of stored specimens in Biobank of Northern Jiangsu People's Hospital from 2015 to 2017 was obtained. The integrity of clinical information acquisition and the change of response time of the functional modules were analyzed.

Results

Compared with pre-execution PDCA, the implementation of PDCA increased the storage samples from 3485 to 22 241 (5118 liver cancer samples, 6343 lung cancer samples, 2870 prostate cancer samples, 4294 pancreatic cancer samples, 3616 gastrointestinal carcinoma samples). Clinical information, admission information, surgical information, inspection information, pathological information, image information and follow-up information had been collected normalization and integrity. Response time of each function module was significantly shortened: the time for all sample retrieval function reduced from 17 s to 2 s, the time for all the patients search function reduced from 7 s to 0.5 s. The time for questionnaire management, container management and follow-up management response is also shorten greatly (form 5 s to 0.3 s, 4 s to 0.5 s and 8 s to 0.2 s, respectively).

Conclusion

The application of PDCA cycle theory in biobank management information system can improve the normative and integrity of clinical information collection, it can also reduce the response time of the function modules.

Key words: Biobank, Information system, Plan do check action cycle

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