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“We fundamentally believe in the importance of care management to support the success of our population health initiatives. We must help our patients manage the interplay of their conditions and achieve the best outcomes.”
– Sreekanth Chaguturu, MD
Vice President for Population
Health Management
Partners HealthCare
Partners Healthcare
Allina Health
医疗保健支付系统的前所未有的变化导致全国各地的卫生组织投资于追求医疗保健改善研究所(IHI)的三重目标,以改善人口健康,改善患者的体验和结果,并降低人均成本。1卫生组织必须制定有效的人口健康管理战略,它们需要正确的数据和分析来为其行动提供信息。
Once armed with the information to make data-driven decisions, leading healthcare providers are implementing care management programs, which have proven to be helpful mechanisms for achieving the Triple Aim. Many healthcare organizations have identified specific patient cohorts to monitor the impact of care management interventions on individual and population health outcomes.
Data-driven care management programs that target high-risk and rising-risk patients can achieve impressive results, including:
The shift to value-based care and changes to healthcare payment models are prompting healthcare leaders to renew their focus on the Triple Aim. Population health, which is best defined as the health outcomes of a group of individuals, including the distribution of such outcomes within the group, is at the heart of these conversations because it impacts all three of those important dimensions.2Organizations with effective population health initiatives rely on analytics to help their leaders make data-driven decisions—and those analytics are essential to every step, from identifying patient cohorts to measuring the effectiveness of initiatives.3
An organization’s success in managing population health is dependent upon the ability to make informed decisions about its entire strategy. The key strategic pieces include identifying populations or cohorts of interest, obtaining health outcomes data for the cohorts (such as mortality, disease burden and injury, and behavioral factors), examining experience of care, and determining per capita cost (total cost of care, and hospital and emergency department utilization rate and/or cost). An analysis of these combined data points provides organizations with much-needed insights to design and deliver the right set of services that improve care, improve population health, and reduce costs per capita. Organizations must measure and evaluate the effectiveness of their initiatives as related to all facets of the Triple Aim.
An increasingly common and critical component of effective population health strategies is care management. It is defined as “a set of activities designed to assist patients and their support systems in managing medical conditions and related psychosocial problems more effectively, with the aims of improving patients’ functional health status, enhancing the coordination of care, eliminating the duplication of services, and reducing the need for expensive medical services.”4
文献支持护理管理是改善三重目标的有益机制,但如果组织没有获得正确的数据和分析,他们在这一领域的成功有限。对于许多组织来说,确定哪些患者会从参与护理管理项目中获得最大的好处,并对他们的风险进行分层,甚至是第一步都是一个挑战。所以,他们通常简化他们的方法,只确定成本最高的病人是队列中的一员。然而,单一的成本数据点不足以告知服务的设计和交付。最佳的预测模型整合了来自多个来源的数据,使组织能够识别出哪些患者处于危险之中,但还没有严重到无法从项目中受益。这些先进的模型还研究了药物信息、诊断测试和健康的社会决定因素,更能预测风险上升和未来成本。与仅依赖历史索赔数据的旧模型相比,这些模型在风险分层方面也更好。
拥有一个复杂的预测模型是至关重要的,但它仍然没有价值,除非有人对这些信息采取适当的行动。在确定高风险和风险上升的患者后,专家需要对患者的健康需求和可用的社会支持进行全面评估。详细的评估,以计划服务,以支持病人改善他们的健康和降低成本,需要比初级保健医生在普通访问收集更多的信息。为了确定需求和协调服务,组织需要有关功能状态的信息,这可以确定患者如何进行日常生活活动。这个评估可能包括准备饭菜、体育活动、交通、经济资源、社会参与和社会支持方面的问题。组织还需要了解患者和护理人员的偏好,因为不符合患者偏好的护理计划是不可能有效的。
While, care management is imperative for healthcare organizations, it’s nearly impossible for primary care providers to perform this complex and comprehensive assessment as a part of their routine clinical work. That’s where care managers come in. After the completion of this thorough assessment, care managers must then develop a care plan that addresses the patient’s needs. The care plan should be tailored to the individual patient’s needs, and should be something in which the patient can successfully participate. The multi-faceted plan should address both immediate needs and longterm care goals, and it should clearly identify who is responsible for each service. When the care plan has been established, care managers can turn their attention to monitoring the patient’s health status and communicating with the patient. Although experienced care managers are best suited to perform this work, they are in short supply.
Addressing these challenges and getting started with a care management program can be difficult and overwhelming. Thankfully, success stories are available from peer organizations that have already tackled some of the challenges and achieved impressive results. Many healthcare organizations have leveraged information from their Health Catalyst Analytics Platform, including their Late-Binding™ Data Warehouse (EDW) and broad suite of analytics applications, to support the identification of specific patient cohorts to monitor the impact of care management interventions on individual and population health outcomes. The programs featured below focus on different patient populations, but they share major commonalities. The themes of aggregating data to identify and risk stratify potential patients, focusing on care coordination functions, developing processes to improve patient engagement, and importantly, measuring performance, are prevalent throughout the examples (see Figure 1).
Data-driven care management programs that target high-risk and rising-risk patients can improve the patient experience and outcomes, improve population health, and reduce costs per capita. The five health systems highlighted here have implemented innovative programs with exciting results, which have profound implications for providers across the country.
At Partners, patients enrolled in the iCMP are reaping the benefits, including improved patient satisfaction and:
Allina’s HF management program decreased readmission rates by three percentage points, and its CKRI program is improving outcomes and cost, including:
In addition:
保健管理将继续是人口保健战略的一个关键组成部分,各组织将需要采取数据驱动战略,以提高效率。未来,医疗领导者将完善和提高风险预测模型的准确性,并将努力实施与患者风险水平直接相关的循证干预措施。
世界杯葡萄牙vs加纳即时走地Health Catalyst是一家使命驱动的数据仓库和分析公司,帮助各种规模的医疗保健组织执行人口健康和负责任医疗所需的临床、财务和运营报告和分析。Our proven enterprise data warehouse (EDW) and analytics platform helps improve quality, add efficiency and lower costs in support of more than 50 million patients for organizations ranging from the largest US health system to forward-thinking physician practices.
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