市場調查報告書
商品編碼
1563795
人口健康管理領域的全球市場,2024-2029Population Health Management Sector, Global, 2024-2029 |
營運和財務挑戰推動轉型成長,轉向基於價值的護理
除了勞動力短缺之外,世界各地的醫療保健提供者還面臨營運、財務和臨床挑戰。醫療保健提供者面臨醫療成本上升和淨利率下降的挑戰。付款人、醫療保健提供者和政策制定者正在尋找控制這些支出的方法。在這些情況下,人口健康管理 (PHM) 軟體至關重要,它可以實現減少廢物、護理協調和預防保健措施等成本控制策略。
醫療保健補償政策正在從傳統的按服務收費模式轉向基於價值的安排,例如按績效付費和捆綁付款。這種轉變正在推動醫療保健提供者改善患者治療效果並減少不必要的成本,從而推動對人口健康管理 (PHM) 工具的需求來支持這些舉措。不斷發展的PHM 模型旨在為不同風險群體的人群提供及時干預、預防性護理和優質護理管理,以實現基於價值的護理和個性化醫療保健的目標,並改善護理的連續性。
該研究服務提供全球 PHM 市場的概述,包括對資料和分析、護理管理、績效和品管以及諮詢服務等應用程式的詳細分析。我們著眼於產業挑戰、促進因素和阻礙因素,以及每個應用領域的收益預測。研究期間為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.