Accepted for/Published in: JMIR Medical Informatics
Date Submitted: Sep 5, 2025
Date Accepted: Jan 1, 2026
Date Submitted to PubMed: Jan 2, 2026
AI Enabled CRM Platforms for Patient Services in Healthcare Early Lessons from Governance and Program Level Outcomes
ABSTRACT
Background:
Healthcare organizations are under growing pressure to improve outcomes while addressing affordability, adherence, and access. Traditional IT systems, such as electronic health records (EHRs), capture clinical data but lack functionality for proactive patient engagement. Artificial intelligence (AI)-enabled customer relationship management (CRM) platforms, such as Salesforce Health Cloud, are emerging as tools for patient support by combining predictive analytics, workflow automation, and personalization.
Objective:
This paper explores the role of AI-enabled CRM platforms in supporting patient services across large-scale healthcare enterprises, with particular focus on affordability, adherence, and access. It examines governance and project management practices that ensure adoption and long-term impact.
Methods:
A case-informed thematic analysis was conducted across four enterprise-scale implementations in Fortune 10 healthcare organizations and Fortune 100 consulting-led programs. Program documentation, stakeholder feedback sessions, and project governance reports were reviewed. Themes were derived through iterative synthesis of observed governance models, stakeholder engagement practices, and outcome measurement approaches.
Results:
Four themes emerged: (1) aligning projects with patient-centered outcomes ensures organizational sponsorship; (2) continuous stakeholder engagement improves adoption and usability; (3) hybrid governance models balance agility with compliance, accelerating innovation while ensuring audit readiness; and (4) AI-enabled CRM platforms demonstrate measurable improvements in affordability (faster access to financial assistance), adherence (reduction in discontinuation risk), and access (shorter therapy initiation timelines).
Conclusions:
AI-enabled CRM platforms are not IT system upgrades but enablers of patient-centered transformation. Their effectiveness depends on governance, leadership, and alignment with patient outcomes. By focusing on affordability, adherence, and access, healthcare enterprises can leverage these systems to improve patient well-being at scale.
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Copyright
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