DIGITAL TRANSFORMATION AND DASHBOARD ANALYTICS IN CRISIS MANAGEMENT OF A HEALTHCARE ORGANIZATION: EVIDENCE FROM CLINIC MIRAS

Authors

  • Gaukhar T. Igimbayeva DBA Candidate, Graduate School of Business, Almaty Management University, Almaty, Republic of Kazakhstan, ORCID: 0009-0001-7521-0163
  • Gulzira B. Estekova Candidate of Economic Sciences, PhD, Almaty Management University, Almaty, Republic of Kazakhstan
  • Yan V. Yurchuk DBA, Almaty Management University, Almaty, Republic of Kazakhstan
  • Aisulu Igimbayeva School of Information Technology and Applied Mathematics, SDU University, Kaskelen, Kazakhstan

Keywords:

digital transformation, dashboard analytics, healthcare management, organizational resilience, crisis management, healthcare KPI, business intelligence

Abstract

The increasing complexity of healthcare systems, workforce shortages, financial constraints, and growing patient expectations require healthcare organizations to transition from reactive crisis response to predictive and data-driven management. This study aims to assess the role of digital transformation and dashboard analytics in strengthening organizational resilience using the case of Clinic Miras, a multidisciplinary healthcare organization in Kazakhstan. A mixed-method case study approach was applied, integrating operational, financial, workforce, and patient-related indicators. The study demonstrates that dashboard analytics enables early detection of operational bottlenecks, supports managerial decision-making, improves resource allocation, and enhances organizational resilience. Based on the findings, the MIRAS-RESILIENCE 7D framework is proposed as an integrated crisis management model for healthcare organizations.

Published

2026-06-15

How to Cite

Gaukhar T. Igimbayeva, Gulzira B. Estekova, Yan V. Yurchuk, & Aisulu Igimbayeva. (2026). DIGITAL TRANSFORMATION AND DASHBOARD ANALYTICS IN CRISIS MANAGEMENT OF A HEALTHCARE ORGANIZATION: EVIDENCE FROM CLINIC MIRAS. Progress in Science, (13). Retrieved from https://ojs.publisher.agency/index.php/PS/article/view/8919

Issue

Section

Medical Sciences