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Patient segmentation analysis offers significant benefits for integrated care and support

Vuik, Si ; Mayer, Ek ; Darzi, A; NHS England ; Imperial College Healthcare NHS Trust

Health Affairs, 31 May 2016 [Tạp chí có phản biện]

ISSN: 0278-2715 DOI: 10.1377/hlthaff.2015.1311

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  • Nhan đề:
    Patient segmentation analysis offers significant benefits for integrated care and support
  • Tác giả: Vuik, Si ; Mayer, Ek ; Darzi, A
  • NHS England ; Imperial College Healthcare NHS Trust
  • Chủ đề: Chronic Care ; Elderly ; Information Technology ; Long-Term Care ; Organization and Delivery of Care ; Health Policy & Services ; 1117 Public Health And Health Services ; 1402 Applied Economics
  • Là 1 phần của: Health Affairs, 31 May 2016
  • Mô tả: Integrated care aims to organize care around the patient instead of the provider. It is therefore crucial to understand differences across patients and their needs. Segmentation analysis that uses big data can help divide a patient population into distinct groups, which can then be targeted with care models and intervention programs tailored to their needs. In this article we explore the potential applications of patient segmentation in integrated care. We propose a framework for population strategies in integrated care-whole populations, subpopulations, and high-risk populations-and show how patient segmentation can support these strategies. Through international case examples, we illustrate practical considerations such as choosing a segmentation logic, accessing data, and tailoring care models. Important issues for policy makers to consider are trade-offs between simplicity and precision, trade-offs between customized and off-the-shelf solutions, and the availability of linked data sets. We conclude that segmentation can provide many benefits to integrated care, and we encourage policy makers to support its use.
  • Nơi xuất bản: Project HOPE
  • Ngôn ngữ: English
  • Số nhận dạng: ISSN: 0278-2715 DOI: 10.1377/hlthaff.2015.1311

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