In this section
@article{Vuik:2016:10.1377/hlthaff.2015.1311,
author = {Vuik, SI and Mayer, EK and Darzi, A},
doi = {10.1377/hlthaff.2015.1311},
journal = {Health Affairs},
pages = {769--775},
title = {Patient segmentation analysis offers significant benefits for integrated care and support},
url = {http://dx.doi.org/10.1377/hlthaff.2015.1311},
volume = {35},
year = {2016}
}
TY - JOUR
AB - 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.
AU - Vuik,SI
AU - Mayer,EK
AU - Darzi,A
DO - 10.1377/hlthaff.2015.1311
EP - 775
PY - 2016///
SN - 0278-2715
SP - 769
TI - Patient segmentation analysis offers significant benefits for integrated care and support
T2 - Health Affairs
UR - http://dx.doi.org/10.1377/hlthaff.2015.1311
UR - http://hdl.handle.net/10044/1/33042
VL - 35
ER -