Population Health Systems: The Intersection of Care Delivery and Health Delivery

Hatzigeorgiou, Marianthi N.

doi:10.1089/pop.2019.0066

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…Pandemic response should leverage existing multisector coalitions such as health care coalitions, which include hospitals, emergency medical services, public health, emergency management, and other partners. Unprecedented demands during the COVID-19 pandemic require community engagement 5 and public-private partnerships to transcend traditional health care and emergency management domains. Partnerships with real estate, community stakeholders, as well as university leaders help to identify alternate sites amenable for quarantining those experiencing housing insecurity as well as patients with lower acuity health care needs.…”

Section: Community-based Resources To Supplement Health Care Capacitymentioning

confidence: 99%

Accountability to Population Health in the COVID-19 Pandemic: Designing Health Care Delivery Within a Social Responsibility Framework

Cutter

Nelson

Abir

2021

Population Health Management

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Section: Community-based Resources To Supplement Health Care Capacitymentioning

confidence: 99%

Accountability to Population Health in the COVID-19 Pandemic: Designing Health Care Delivery Within a Social Responsibility Framework

Cutter

Nelson

Abir

2021

Population Health Management

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“…Population health management is basically the aggregation of patient health data from multiple data sources, and the analysis and transformation into actionable insights to generate informed decisions to improve clinical and financial outcomes [19].…”

Section: Why Big Data and Machine Learning?mentioning

confidence: 99%

A Case Study for a Big Data and Machine Learning Platform to Improve Medical Decision Support in Population Health Management

et al. 2020

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Big data and artificial intelligence are currently two of the most important and trending pieces for innovation and predictive analytics in healthcare, leading the digital healthcare transformation. Keralty organization is already working on developing an intelligent big data analytic platform based on machine learning and data integration principles. We discuss how this platform is the new pillar for the organization to improve population health management, value-based care, and new upcoming challenges in healthcare. The benefits of using this new data platform for community and population health include better healthcare outcomes, improvement of clinical operations, reducing costs of care, and generation of accurate medical information. Several machine learning algorithms implemented by the authors can use the large standardized datasets integrated into the platform to improve the effectiveness of public health interventions, improving diagnosis, and clinical decision support. The data integrated into the platform come from Electronic Health Records (EHR), Hospital Information Systems (HIS), Radiology Information Systems (RIS), and Laboratory Information Systems (LIS), as well as data generated by public health platforms, mobile data, social media, and clinical web portals. This massive volume of data is integrated using big data techniques for storage, retrieval, processing, and transformation. This paper presents the design of a digital health platform in a healthcare organization in Colombia to integrate operational, clinical, and business data repositories with advanced analytics to improve the decision-making process for population health management.

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“…Sustained high prevalence of chronic diseases and a recognition that better approaches are needed to provide high- quality, cost-effective care for patients have galvanized population health management efforts, defined in this study as the design, delivery, coordination, and payment of high-quality healthcare services to manage the health and healthcare for a defined population (Steenkamer et al, 2017; Swarthout & Bishop, 2017). The renewed emphasis on population health management has also resulted in greater attention to the role of healthcare delivery organizations in promoting population health (Hatzigeorgiou & Joshi, 2019; Hearld et al, 2018; Olden & Hoffman, 2011).…”

Section: Introductionmentioning

confidence: 99%

Participation in Value-Based Payment Programs and U.S. Acute Care Hospital Population Health Partnerships

Hearld¹,

Karabukayeva²

2022

Journal of Healthcare Management

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Goal:The goal of this study was to describe the prevalence and pattern of population health partnerships by hospitals and examine whether these partnerships were associated with different types of payment model programs. Methods:We conducted a cross-sectional analysis of 3,012 U.S. hospitals using data from the American Hospital Association's Annual Survey, the Area Health Resources File, and the County Health Rankings & Roadmaps data. We ran a multivariable Poisson regression model to examine the relationship between value-based payment designs and the number of population health partnerships. Binary logistic regression models were used to assess whether participation in value-based payment design programs was associated with specific types of population health partnerships.Principal Findings: We found that two thirds or more of hospitals used more informal collaborative partnerships with local or state government, faith-based organizations, and local businesses; formal alliances were most common with health insurance companies and other healthcare providers. Accountable care organizations and bundled payment program participation were associated with greater numbers of population health partnerships, whereas hospital ownership of a health plan was not associated with significantly greater numbers of population health partnerships.Applications to Practice: Hospitals were engaged in an intermediate number of partnerships (mean = 3.5, out of 8.0 possible), with opportunities for more partnerships with specific types of organizations (faith-based organizations, health insurance companies). Our findings also suggest that certain types of payment models, particularly those that are less capital intensive and entail less extensive organizational transformation on the part of hospitals, may support

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Population Health Systems: The Intersection of Care Delivery and Health Delivery

Cited by 3 publications

References 3 publications

Accountability to Population Health in the COVID-19 Pandemic: Designing Health Care Delivery Within a Social Responsibility Framework

Accountability to Population Health in the COVID-19 Pandemic: Designing Health Care Delivery Within a Social Responsibility Framework

A Case Study for a Big Data and Machine Learning Platform to Improve Medical Decision Support in Population Health Management

Participation in Value-Based Payment Programs and U.S. Acute Care Hospital Population Health Partnerships

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