Date: Thu, 28 Mar 2024 08:13:36 -0400 (EDT)
Message-ID: <921533164.742.1711628016245@prodopencatalystconfluence.catalyst>
Subject: Exported From Confluence
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Background
SHRINE was launched in May 2009 to help clinical researchers solve the p=
roblem of identifying sufficient numbers of patients to include in their st=
udies. Without adequate sample sizes, it is difficult for researchers to re=
ach a level of confidence in the results of their research. Through the use=
of a federated network protocol, SHRINE allows investigators to see limite=
d data about patients meeting their study criteria without compromising pat=
ient privacy.
SHRINE was initially developed to aggregate patient cohorts across four =
Harvard affiliated academic medical centers in the Boston area. In addition=
to this initial deployment, SHRINE nodes have been implemented at Beth Isr=
ael Deaconess Medical Center, Boston Children's Hospital, Partners Healthca=
re (Brigham and Women's Hospital and Massachusetts General Hospital), Dana =
Farber Cancer Institute, and many other locations outside of the Harvard Me=
dical School network. We are currently piloting a national deployment.
Motivation
Obtaining sufficient patient samples remains one of the primary challeng=
es in informatics studies. Even when a single hospital has enough cases to =
reach statistical significance, biases in the available cohort may produce =
results that "overfit" the circumstances for which the data were collected.=
In order to obtain the maximum number of cases representing the study po=
pulation, it is useful to aggregate patient facts across as many sites as p=
ossible. Cutting across institutional boundaries necessitates that each hos=
pital IRB remain in control, and that their local authority is recognized f=
or each and every request for patient data. The independence, ownership, an=
d legal responsibilities of hospitals predetermines a decentralized technic=
al approach, such as a federated query over locally controlled databases.=
p>
Approach
Secondary use of Clinical Encounter Data for Research Purposes
Building on the I2B2 platform, SHRINE enables fede=
rated queries across many independently operated patient databases.
With over 60 sites participating in the I2B2 National Ce=
nter for Biomedical Computing, there is now a rare opportunity to conduct r=
egional and national health studies.
Mapping Heterogeneous Medical Coding Systems "on the fly"
Mapping medical terminologies, such as medication and diagnoses codes, i=
s no small task.
Towards this goal, we have developed software which maps medical dictionar=
ies to national standards such as ICD9 (Diagnoses), RxNorm (Medications), a=
nd Demographics (HITSP). This software is a=
ptly named "SHRIMP", because it performs the minimal amount of map=
pings necessary to enable queries in a non-disease specific manner manner.<=
/p>
Federated Query and Aggregation of Independently Operated =
Clinical Databases
Building on the success of the SPIN federated query system [Paper], SHRINE provides a scalable query a=
nd aggregation mechanism.
See our article in JAMIA for details on the federated credentialing system=
, scalable peer-to-peer architecture, and secure logging and auditing.
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