市场调查报告书
商品编码
1563795
人口健康管理领域的全球市场,2024-2029Population Health Management Sector, Global, 2024-2029 |
营运和财务挑战推动转型成长,转向基于价值的护理
除了劳动力短缺之外,世界各地的医疗保健提供者还面临营运、财务和临床挑战。医疗保健提供者面临医疗成本上升和净利率下降的挑战。付款人、医疗保健提供者和政策制定者正在寻找控制这些支出的方法。在这些情况下,人口健康管理 (PHM) 软体至关重要,它可以实现减少废物、护理协调和预防保健措施等成本控制策略。
医疗保健补偿政策正在从传统的按服务收费模式转向基于价值的安排,例如按绩效付费和捆绑付款。这种转变正在推动医疗保健提供者改善患者治疗效果并减少不必要的成本,从而推动对人口健康管理 (PHM) 工具的需求来支持这些倡议。不断发展的PHM 模型旨在为不同风险群体的人群提供及时干预、预防性护理和优质护理管理,以实现基于价值的护理和个性化医疗保健的目标,并改善护理的连续性。问题。
该研究服务提供全球 PHM 市场的概述,包括对资料和分析、护理管理、绩效和品管以及咨询服务等应用程式的详细分析。我们着眼于产业挑战、驱动因素和阻碍因素,以及每个应用领域的收益预测。研究期间为2023年至2029年。
Operational and Financial Challenges are Driving Transformational Growth with the Shift toward Value-based Care
Healthcare providers worldwide struggle with operational, financial, and clinical challenges on top of workforce scarcity. Payers are challenged with rising healthcare costs and shrinking margins. Payers, providers, and policymakers seek ways to curb these expenditures. Population health management (PHM) software that enables cost containment strategies, such as waste reduction, care coordination, and preventative care initiatives, becomes essential in this context.
Healthcare reimbursement policies are moving away from traditional fee-for-service models toward value-based arrangements, such as pay-for-performance and bundled payments. This shift incentivizes providers to improve patient outcomes and reduce unnecessary costs, driving the need for population health management (PHM) tools that support these initiatives. Evolving PHM models strive to address patient health needs across the care continuum, with timely interventions targeting populations with diverse risk groups, aiming preventive health and quality care management aligned with value-based care and personalized healthcare goals.
This research service provides an overview of the global PHM market, including a detailed analysis of its applications, namely data and analytics, care management, performance and quality management, and advisory services. Discussions include industry challenges, drivers, and restraints as well as a revenue forecast for each application area. The study period is 2023 to 2029.