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Dissecting Multi-Level Pricing Schemes in the Context of eCW Client Engagement

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  • Paramahansa Pramanik
  • Joel Graff
  • Mike Decaro

Abstract

This paper presents a usage-based pricing framework for the Intelligent Medical Objects ProblemIT Portal utilized by eClinicalWorks (eCW) clients. The approach begins by determining a stable monthly unit price per request, estimated as the median from semi-parametric Bayesian cubic smoothing spline analyses covering the period November 2015 to December 2016. Clients are subsequently segmented into eight volume-based tiers, with total charges computed by multiplying the derived median unit price by each client's total request count. Examination of the dataset reveals that 806 accounts with a single registered user and 470 accounts with two registered users both exhibit disproportionately high request volumes. The proposed model incorporates adjustments to account for these anomalies.

Suggested Citation

  • Paramahansa Pramanik & Joel Graff & Mike Decaro, 2025. "Dissecting Multi-Level Pricing Schemes in the Context of eCW Client Engagement," Papers 2509.22669, arXiv.org.
  • Handle: RePEc:arx:papers:2509.22669
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    File URL: http://arxiv.org/pdf/2509.22669
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    References listed on IDEAS

    as
    1. Paramahansa Pramanik, 2020. "Optimization of Market Stochastic Dynamics," SN Operations Research Forum, Springer, vol. 1(4), pages 1-17, December.
    2. Paramahansa Pramanik & Edward L. Boone & Ryad A. Ghanam, 2024. "Parametric Estimation in Fractional Stochastic Differential Equation," Stats, MDPI, vol. 7(3), pages 1-16, July.
    3. Paramahansa Pramanik, 2025. "Construction of an Optimal Strategy: An Analytic Insight Through Path Integral Control Driven by a McKean–Vlasov Opinion Dynamics," Mathematics, MDPI, vol. 13(17), pages 1-43, September.
    4. Paramahansa Pramanik & Alan M. Polansky, 2024. "Motivation to Run in One-Day Cricket," Mathematics, MDPI, vol. 12(17), pages 1-30, September.
    5. Paramahansa Pramanik, 2024. "Dependence on Tail Copula," J, MDPI, vol. 7(2), pages 1-26, April.
    6. Paramahansa Pramanik, 2025. "Stubbornness as Control in Professional Soccer Games: A BPPSDE Approach," Mathematics, MDPI, vol. 13(3), pages 1-37, January.
    7. Paramahansa Pramanik & Lambert Dong, 2025. "Impact of random monetary shock: a Keynesian case," Papers 2505.00800, arXiv.org.
    8. Charles M. Perou & Therese Sørlie & Michael B. Eisen & Matt van de Rijn & Stefanie S. Jeffrey & Christian A. Rees & Jonathan R. Pollack & Douglas T. Ross & Hilde Johnsen & Lars A. Akslen & Øystein Flu, 2000. "Molecular portraits of human breast tumours," Nature, Nature, vol. 406(6797), pages 747-752, August.
    9. Polansky, Alan M. & Pramanik, Paramahansa, 2021. "A motif building process for simulating random networks," Computational Statistics & Data Analysis, Elsevier, vol. 162(C).
    Full references (including those not matched with items on IDEAS)

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