Business Model Design for Digital Platform-Based Clinic Management Information System: A Case Study at Advomed

Advomed, a provider of digital ecosystem solutions for clinic management, encounters challenges in delivering added value to its partner clinics, particularly in enhancing service efficiency and connectivity. This study aims to design a platform-based business model that improves clinic performance by minimizing operational risks, enhancing data-driven decision-making, and increasing revenue through the integration of artificial intelligence and telehealth services. Using a descriptive qualitative approach, data were collected through in-depth interviews, case studies, and document analysis. The research focuses on implementing digital platform strategies that generate network effects and strengthen collaboration among clinics, laboratories, and partner pharmacies. The results indicate that integrating electronic medical record (EMR) systems enhances clinic operational efficiency and expands patient access to healthcare services. Moreover, the proposed business model positions Advomed as a facilitator of collaboration across the healthcare ecosystem, enabling sustainable competitive advantage. The study concludes that applying the Platform Business Model Canvas (PBMC) framework provides a structured strategy for implementing platform elements through clear action plans, objectives, and execution steps. This framework supports ecosystem-based innovation, allowing Advomed to better capture network value and differentiate its service offerings. The findings also suggest that user dissatisfaction with current value propositions can serve as input for refining segmentation, targeting, and positioning strategies. This research contributes to the advancement of digital healthcare business models in Indonesia and offers practical guidance for platform development in similar contexts.

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Publication Details

Journal
American Journal of Economic and Management Business (AJEMB)
Published
2025-08-04
DOI
https://doi.org/10.58631/ajemb.v4i8.262
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Business Model Design for Digital Platform-Based Clinic Management Information System: A Case Study at Advomed

Dodie Tricahyono, I Gede Arya Putra Dewangga
American Journal of Economic and Management Business (AJEMB)
Big Data and Business Intelligence
article

Business Model Design for Digital Platform-Based Clinic Management Information System: A Case Study at Advomed

Dodie Tricahyono, I Gede Arya Putra Dewangga
article en

Abstract

Advomed, a provider of digital ecosystem solutions for clinic management, encounters challenges in delivering added value to its partner clinics, particularly in enhancing service efficiency and connectivity. This study aims to design a platform-based business model that improves clinic performance by minimizing operational risks, enhancing data-driven decision-making, and increasing revenue through the integration of artificial intelligence and telehealth services. Using a descriptive qualitative approach, data were collected through in-depth interviews, case studies, and document analysis. The research focuses on implementing digital platform strategies that generate network effects and strengthen collaboration among clinics, laboratories, and partner pharmacies. The results indicate that integrating electronic medical record (EMR) systems enhances clinic operational efficiency and expands patient access to healthcare services. Moreover, the proposed business model positions Advomed as a facilitator of collaboration across the healthcare ecosystem, enabling sustainable competitive advantage. The study concludes that applying the Platform Business Model Canvas (PBMC) framework provides a structured strategy for implementing platform elements through clear action plans, objectives, and execution steps. This framework supports ecosystem-based innovation, allowing Advomed to better capture network value and differentiate its service offerings. The findings also suggest that user dissatisfaction with current value propositions can serve as input for refining segmentation, targeting, and positioning strategies. This research contributes to the advancement of digital healthcare business models in Indonesia and offers practical guidance for platform development in similar contexts.

American Journal of Economic and Management Business (AJEMB)Vol. 4(8)
Telkom University (ID)
Openalex Percentile: Top 67%
Big Data and Business Intelligence
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