Online application for blood components as organizational and methodological support for transfusiology

Abstract

Objective. Improving the quality of transfusion care by developing a model of organizational and methodological support for online applications based on the analysis of applications for blood components for various nosological groups.Materials and methods. The object of the study was the content of the following medical documentation: an application for transfusion media, approved by the Order of the Ministry of Health of the Republic of Belarus as of July 14, 1998 No. 202, including information on the needs of healthcare organizations for transfusion media for the period of 2016-2017; regulatory legal acts on transfusiology in the Republic of Belarus.Results. The need for transfusion media (erythrocyte-, platelet-, plasma-containing blood components, including cryoprecipitate) and the drug Albumin was analyzed.It has been established that the maximum volume of consumption (37-81%) of all transfusion media occurs in therapeutic departments, namely hematology departments. A significant consumption of platelet blood components and cryoprecipitate (29% and 37%, respectively) occurs in obstetrics and gynecology departments.A calculation of the need for a blood component is proposed, which is based on a patient model, including the patient’s age and nosological profile of the disease (ICD-10 code), technological level of medical care, and number of applications for hospitalization.An online application has been developed, the parameters of which include the date, institution, patient’s full name, ordered blood component or drug Albumin, blood group and Rh factor (other antigenic systems, if necessary), as well as the patient’s diagnosis according to ICD-10.Conclusion. The developed online application software allows keeping records and analyze the average need for blood components and the drug Albumin per patient assigned to one of the models. Using an online application will allow auditing the appointment and generate an estimated need for the next time period, based on a calculation including a patient model, allows optimizing the management of blood service resources.