Most of the members of this group are from the Statistics Section and Biomaths research group of the Department of Mathematics. Below you can find a list of research areas that members of this group are currently working on and/or would like to work on by applying their developed mathematical and statistical methods.
@article{Clarke:2018:10.1038/s41746-018-0072-y,
author = {Clarke, JM and Warren, LR and Arora, S and Barahona, M and Darzi, AW},
doi = {10.1038/s41746-018-0072-y},
journal = {NPJ digital medicine},
pages = {65--65},
title = {Guiding interoperable electronic health records through patient-sharing networks.},
url = {http://dx.doi.org/10.1038/s41746-018-0072-y},
volume = {1},
year = {2018}
}
TY - JOUR
AB - Effective sharing of clinical information between care providers is a critical component of a safe, efficient health system. National data-sharing systems may be costly, politically contentious and do not reflect local patterns of care delivery. This study examines hospital attendances in England from 2013 to 2015 to identify instances of patient sharing between hospitals. Of 19.6 million patients receiving care from 155 hospital care providers, 130 million presentations were identified. On 14.7 million occasions (12%), patients attended a different hospital to the one they attended on their previous interaction. A network of hospitals was constructed based on the frequency of patient sharing between hospitals which was partitioned using the Louvain algorithm into ten distinct data-sharing communities, improving the continuity of data sharing in such instances from 0 to 65-95%. Locally implemented data-sharing communities of hospitals may achieve effective accessibility of clinical information without a large-scale national interoperable information system.
AU - Clarke,JM
AU - Warren,LR
AU - Arora,S
AU - Barahona,M
AU - Darzi,AW
DO - 10.1038/s41746-018-0072-y
EP - 65
PY - 2018///
SN - 2398-6352
SP - 65
TI - Guiding interoperable electronic health records through patient-sharing networks.
T2 - NPJ digital medicine
UR - http://dx.doi.org/10.1038/s41746-018-0072-y
UR - https://www.biorxiv.org/content/10.1101/473272v1
UR - http://hdl.handle.net/10044/1/65340
VL - 1
ER -