Process mining is an underutilized clinical research tool in transfusion medicine

Quinn, Jason G.; Conrad, David M.; Cheng, Calvino

doi:10.1111/trf.13995

Cited by 11 publications

(6 citation statements)

References 10 publications

(7 reference statements)

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“…After the blood unit left the blood bank, the transportation management and temperature control management are encountered problems in the blood transfusion process management [ 10 ]. According to the Technical Specifications for Clinical Blood Transfusion , the medical staff (doctors and nurses) should go to the blood bank to collect the units after the blood crossmatching test [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Electronic transfusion consent and blood delivering pattern improve the management of blood bank in China

Lei

Zhang

Hao

et al. 2022

BMC Health Serv Res

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Background The aim of this study was to improve the blood transfusion treatment consent accuracy, simplify the verification process, prolong the temperature control time before the blood transfusion, and save the blood transportation labor cost. Methods We designed the blood transfusion consent electronic signing process, which can generate personalized the text content and can automatically check the filling accuracy. The signal can be transmitted to the blood transfusion management system (TMS) to relieving the blood distribution. For blood delivering pattern, we established the blood transport center, recruited full-time nurses and used temperature-controlled blood transfer boxes to deliver blood in batches on a regular basis. Results A quarterly data analysis of blood transfusion quality showed a 100% blood transfusion consent accuracy after an electronic signing process was implemented. The average confirmation time savings between the electronic content and paper content was 26 min for the Department of Emergency (estimated difference 95% CI = 26 (20 to 36), p < 0.05). The blood delivering pattern reduced the time for each unit by leaving the average temperature control by 7.24 min (estimated difference 95% CI = 7.24 (6.92 to 7.56), p < 0.05). Furthermore, $3.67 was saved for the blood transportation labor cost for each unit as well. Conclusion Blood transfusion consent electronic signing process not only ensures the accuracy, but also saves the verification time. Moreover, the blood delivering pattern prolongs the blood temperature control time and saves blood transportation labor costs. Thus, these two improvements could enhance transfusion management.

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Section: Introductionmentioning

confidence: 99%

Electronic transfusion consent and blood delivering pattern improve the management of blood bank in China

Lei

Zhang

Hao

et al. 2022

BMC Health Serv Res

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show abstract

“…The transportation and temperature control management after blood leaving the blood bank are the di cult problems in blood transfusion process management [9]. According to the Technical Speci cations for Clinical Blood Transfusion, after blood matching test, medical staff (doctors and nurses) should go to the blood bank to collect the units [7].…”

Section: Introductionmentioning

confidence: 99%

Electronic transfusion consent and blood delivering pattern improve the management of blood bank in China

Lei

Zhang²,

Hao

et al. 2022

Preprint

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Background The aim of this study was to improve the accuracy of blood transfusion treatment consent, simplify the verification process, prolong the temperature control time before blood transfusion, and save the labor cost of blood transportation. Methods We designed the electronic signing process of blood transfusion consent, which can generate personalized text content and automatically check the accuracy of filling. The signal can be transmitted to the blood transfusion management system (TMS) to relieve the blood distribution. For blood delivering, we established the blood transport center, recruited full-time nurses and used temperature-controlled blood transfer boxes to deliver blood in batches on a regular basis. Results Quarterly analysis of blood transfusion quality data showed that the accuracy of blood transfusion consent was 100% after electronic consent process implemented. The average savings of confirmation time between electronic content and papery content was 26min for Department of Emergency (Estimated Difference (95% CI) = 26 (20 to 36), p< 0.05). The pattern of blood delivering reduced the time for each unit of leaving temperature control by 7.24min on average (Estimated Difference (95% CI) = 7.24 (6.92 to 7.56), p< 0.05), and saved $3.67 of labor cost for each unit as well. Conclusion Electronic transfusion consent process not only ensures the accuracy, but also saves the verification time. Moreover, the blood delivering pattern prolongs the temperature control time of blood, and saves labor costs. These two improvements could enhance transfusion management.

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“…It describes and identifies the sorts of processes/sub-processes that should be targeted in implement-ing the system and what kind of data should be followed-up [8][9][10]. Several studies have discussed healthcare processes considering managerial problems [11][12][13]. However, few of them have focused on developing blood management optimization [4,14].…”

mentioning

confidence: 99%

Dynamic Demand-Centered Process-Oriented Data Model for Inventory Management of Hemovigilance Systems

2021

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The variation of demand, limited supply, and perishability of blood products results in a high degree of uncertainty and complexity in hemovigilance systems [1]. The effective management of blood products in this segment of the blood supply chain plays a crucial role in decreasing unnecessary costs, wastage, and shortages [2]. One of the primary concerns of blood banks, as an essential part of the blood transfusion chain, is identifying and separating the system's activities and components. Hence, user requirements should be recognized to organize the resources and functions that

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Process mining is an underutilized clinical research tool in transfusion medicine

Cited by 11 publications

References 10 publications

Electronic transfusion consent and blood delivering pattern improve the management of blood bank in China

Electronic transfusion consent and blood delivering pattern improve the management of blood bank in China

Electronic transfusion consent and blood delivering pattern improve the management of blood bank in China

Dynamic Demand-Centered Process-Oriented Data Model for Inventory Management of Hemovigilance Systems

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