Telehealth Finance Variables and Successful Business Models

B. Arkwright, Monica Leslie, Morgan Light
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引用次数: 5

Abstract

Successful telehealth business models are a topic of regular discussion in the healthcare industry, and the financial details of telehealth programs, initiatives, and companies are central to program viability and sustainability. Claims and total payments toward telehealth services are rapidly increasing each year; therefore, it is becoming imperative that organizations carefully navigate the regulatory, financial, operational, and technical aspects impacting, and many times determining, the financial health of telehealth programs. The objective of this article is to define and articulate the financial variables and business models that are the lifeblood of today’s successful telehealth programs, and also to provide insights and information to assist organizations in navigating the nuances of telehealth financial modeling, monitoring, and management. The financial and business models surrounding telehealth are unique for a number of reasons, mainly because the calculations and architecture of such models often contain many continuous variables, such as people (clinical providers and patients), geography (rural or metropolitan areas), telehealth governance structure, the service provided, the reimbursement or coverage eligibility, the technology used, the quality of care rendered, and the outcome of the care rendered. In addition, a clear need for a departure from traditional ways of projecting return on investment (ROI) becomes apparent with the layering of additional complexities of restrictive payer requirements, various business models, and the transition from volume to value.
远程医疗金融变量和成功的商业模式
成功的远程医疗商业模式是医疗保健行业经常讨论的话题,远程医疗项目、计划和公司的财务细节是项目可行性和可持续性的核心。对远程保健服务的索赔和支付总额每年都在迅速增加;因此,组织必须仔细把握影响远程医疗项目财务健康的监管、财务、运营和技术方面,并在很多时候决定这些方面。本文的目标是定义和阐明金融变量和商业模型,它们是当今成功的远程医疗项目的命脉,并且还提供见解和信息,以帮助组织导航远程医疗财务建模、监控和管理的细微差别。围绕远程保健的财务和商业模式是独特的,原因有很多,主要是因为此类模型的计算和架构通常包含许多连续变量,例如人员(临床提供者和患者)、地理(农村或大都市地区)、远程保健治理结构、提供的服务、报销或覆盖资格、使用的技术、提供的护理质量以及提供的护理结果。此外,随着限制性付款人需求、各种商业模式以及从数量到价值的转变等额外复杂性的分层,明显需要脱离传统的投资回报(ROI)预测方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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