CRM and Data Analytics in Healthcare: Strategy and Change in Practice
Keywords:
Digital Health Transformation, CRM in Healthcare, Organizational Change Management, Healthcare Data AnalyticsAbstract
This study explores the digital transformation of a large healthcare organization specializing in addiction treatment and sports medicine through the integration of customer relationship management (CRM) technologies, patient feedback systems, and data analytics. The transformation aims to enhance patient-centered care, streamline workflows, upskill staff, and improve organizational competitiveness. Guided by the FEMA Analytical Problem-Solving Model and Lean Six Sigma DMAIC framework, the paper presents a strategic roadmap for implementation, addressing challenges such as data fragmentation, workforce resistance, and cultural adaptation. Using an exploratory case study methodology, the research synthesizes insights from 25+ peer-reviewed sources to develop practical recommendations for technology adoption, change management, marketing alignment, and patient engagement. The findings demonstrate that successful healthcare innovation depends on aligning digital tools with clinical goals, workforce development, and human-centered leadership. This study contributes to a growing body of literature that views CRM and analytics not only as technological solutions but as strategic levers for organizational change, patient empowerment, and sustainable value creation in digital health systems.Published
Issue
Section

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms: RAIS Journal of Social Sciences is given by the author the right of the first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal. Authors retain copyright. If the author cites from his own article published in RAIS Journal of Social Sciences, then he is encouraged to cite the name of the RAIS Journal of Social Sciences, volume, and page. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access). This journal provides immediate open access to its content, in this way, we make research freely available to the public and support a greater global exchange of knowledge.
PRIVACY STATEMENT
The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.