Received: 31.07.2026
Accepted: 10.08.2026
Published online: 21.08.2026
UDC: 005.584.1:615.1:004.9
DOI: 10.53511/pharmkaz.2026.4.8
A MODEL FOR IMPROVING MANAGEMENT CONTROL IN THE FIELD OF MEDICINES CIRCULATION BASED ON KPIs AND DIGITAL TOOLS
Azamat Dauletovich Seisenov¹, Saltanat Apbasovna Mamyrbekova²
¹ Master’s student in the 7M04103-EMBA educational program “Business Administration in Healthcare,” Asfendiyarov Kazakh National Medical University; Head of the Legal Department of the National Center for Expertise of Medicines and Medical Devices under the Committee for Medical and Pharmaceutical Control of the Ministry of Healthcare of the Republic of Kazakhstan, Astana, Kazakhstan.
² PhD, Associate Professor, Director of the Institute of Continuing and Professional Education, Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan.
Corresponding author: Azamat Dauletovich Seisenov; e-mail: seisenov2013@gmail.com.
Introduction. The quality of public regulation of medicines circulation depends on a management control system that ensures the timeliness, quality, and transparency of expert processes. Traditional reporting mainly records deviations after they have occurred, which creates a need for a model that enables early risk identification and supports data-driven decision-making.
Methods. This was an applied project-based study. A systems approach, a process approach, analysis of regulatory and methodological documents, comparative review of international recommendations for strengthening regulatory systems, and management process modelling were used.
Results. A three-level management control architecture comprising strategic, process, and operational levels was proposed. A set of indicators was developed covering timeliness, process duration, risk of deadline violation, first-pass quality, rework, data quality, implementation of corrective actions, workload balance, and the degree of automation. The structure of a management dashboard and a phased roadmap for implementation were developed.
Discussion. The proposed model supports a shift from retrospective reporting control to early identification of deviations, root-cause analysis, and monitoring of management actions. KPIs should not replace professional expert judgement; target values should be set only after baseline measurement and pilot validation using actual data.
Keywords: management control, KPI, digital transformation, medicines, regulatory system, dashboard, Business Intelligence, process management, NCEMMD.
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