In India, private hospitals are at the cusp of adopting health-analytics (HA) technology to manage their organizational performance through data-driven decision-making. Past studies have analyzed the applications and benefits of HA. Our study builds on this descriptive base to investigate the patterns of HA adoption and the institutional factors which impact adoption. We conducted a cross-sectional field study that involved ten Indian private healthcare organizations and four health-ecosystem partners and analyzed the case study data using an institutional theory lens. Our cases reveal that the breadth and depth of HA adoption varies and falls into three distinct patterns: far-sighted, conservative, and niche. We assess how these patterns are influenced by the two key dimensions of institutional environments (material-resource environment and institutional environment). We highlight distinctive factors (management support for building organizational trust on data-driven decisions and IT-Medical practitioner collaboration) that exert important contextual influences on HA adoption. Our study identifies areas of commonalty for HA adoption across national healthcare settings as well as contextual aspects representative of the burgeoning Indian healthcare field.

在印度，私立医院正处于采用健康分析 (HA) 技术通过数据驱动决策管理其组织绩效的风口浪尖。过去的研究分析了 HA 的应用和好处。我们的研究建立在这个描述性的基础上，以调查 HA 采用的模式和影响采用的制度因素。我们进行了一项涉及十个印度私人医疗保健组织和四个健康生态系统合作伙伴的横断面实地研究，并使用制度理论视角分析了案例研究数据。我们的案例表明，HA 采用的广度和深度各不相同，分为三种不同的模式：有远见的、保守的和利基的。我们评估了这些模式如何受到制度环境的两个关键维度（物质资源环境和制度环境）的影响。我们强调了对 HA 采用产生重要背景影响的独特因素（管理层对建立对数据驱动决策和 IT 医疗从业者协作的信任的支持）。我们的研究确定了在国家医疗保健环境中采用 HA 的共同领域，以及代表新兴印度医疗保健领域的背景方面。