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DATE-SHIFT
P A T I E N T P R O X Y I D M A P P I N G
ProxyID
MRN
Name
Gender
Date of birth
Social security
Address
etc.
ProxyID
Assigned Date-shift 
( 1-365 )
Researcher
makes request
Researcher receives 
approved patient data
Central Institutional 
Review Board
approves 
request
NYGC 
identifies 
cohort Select 1 Doctor 
or Hospital per 
patient
Contact Patient
Patient consents
ProxyID
De-identified MR:
Demographics
Visits
Observations
Diagnosis
Procedures
Medications 
(prescribed/filled)
Medicaid
ProxyID → CDRN-ID
Patient-match records 
across sites
Data quality assurance
Example:
Researcher wants to find all 
ALS patients in NY under 40ProxyID
Site Code
Healthix
eMPI
HISTORICALDATA
1
2
3 Patient–ProxyID Map
5    Data Transformation
6    Data Loading
DATE-SHIFTED
EHR
4
Patient-Matched
Data 
Solving the Problem of
CohortIdentificationforPrecisionMedicineResearch
1 New York Genome Center, 2 Columbia University Medical College
3 Montefiore Hospital, 4 Weil Cornell College of Medicine,
5 Biomedical Research Alliance of New York (BRANY IRB),
6 Clinical Directors Network, 7 Healthix
Toby Bloom1
, George Hripsak2
, Parsa Mirhaji3
, Alex Low4
, Cristyn Kells1
, Dorian Leary1
,
Karen Hackett1
, Clint Beilman1
, Fred Criscuolo1
, Nina Lapchyk1
, Shailu Gargeya1
,
Thomas Check7
, Jonathan Tobin6
, Curtis Cole4
, Raffaella Hart5
, Rainu Kaushal4
One of the limiting factors in successfully performing large precision medicine genomics studies is
identifying enough participants for a study. The problem is particularly acute for rare conditions.
In New York City, a number of large hospitals have joined forces to build a centralized, deidentified
medical records repository as part of the NYC CDRN (Clinical Data Research Network). A patient’s
records are merged across multiple providers and patients are made re-contactable. After a
DATA COLLECTION COHORT SELECTION
1
2
5
6
7
CDRN
IRB
D
a
ta
b
a
se
7 Million
Patients
8
RESPONSE 4
3  REQUEST
Collect consent
Notify all hospitals of patient consent
10
Hospitals deliver consented data
H
ospitals
CUMCDOCTORS
MONTEFIORE
WCMC
NYPCUMC
MSHSNYPWCMC
NYULMC
LFHC
11
Partially funded by the Patient Centered Outcomes Research Institute
cohort has been identified, the CDRN will obtain approval from a central IRB, arrange to
recontact the patients and obtain consent for the proposed study, and provide the needed
information to the PI. As part of the Patient-Centered Outcomes Research Network, it is possi-
ble to identify cohorts across 11 such CDRNs nationally, though each has its own identification
process. We show here how the NYC-CDRN manages the process:

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AGBT Precision Medicine 2016 Cohort Indentification

  • 1. 9 DATE-SHIFT P A T I E N T P R O X Y I D M A P P I N G ProxyID MRN Name Gender Date of birth Social security Address etc. ProxyID Assigned Date-shift  ( 1-365 ) Researcher makes request Researcher receives  approved patient data Central Institutional  Review Board approves  request NYGC  identifies  cohort Select 1 Doctor  or Hospital per  patient Contact Patient Patient consents ProxyID De-identified MR: Demographics Visits Observations Diagnosis Procedures Medications  (prescribed/filled) Medicaid ProxyID → CDRN-ID Patient-match records  across sites Data quality assurance Example: Researcher wants to find all  ALS patients in NY under 40ProxyID Site Code Healthix eMPI HISTORICALDATA 1 2 3 Patient–ProxyID Map 5    Data Transformation 6    Data Loading DATE-SHIFTED EHR 4 Patient-Matched Data  Solving the Problem of CohortIdentificationforPrecisionMedicineResearch 1 New York Genome Center, 2 Columbia University Medical College 3 Montefiore Hospital, 4 Weil Cornell College of Medicine, 5 Biomedical Research Alliance of New York (BRANY IRB), 6 Clinical Directors Network, 7 Healthix Toby Bloom1 , George Hripsak2 , Parsa Mirhaji3 , Alex Low4 , Cristyn Kells1 , Dorian Leary1 , Karen Hackett1 , Clint Beilman1 , Fred Criscuolo1 , Nina Lapchyk1 , Shailu Gargeya1 , Thomas Check7 , Jonathan Tobin6 , Curtis Cole4 , Raffaella Hart5 , Rainu Kaushal4 One of the limiting factors in successfully performing large precision medicine genomics studies is identifying enough participants for a study. The problem is particularly acute for rare conditions. In New York City, a number of large hospitals have joined forces to build a centralized, deidentified medical records repository as part of the NYC CDRN (Clinical Data Research Network). A patient’s records are merged across multiple providers and patients are made re-contactable. After a DATA COLLECTION COHORT SELECTION 1 2 5 6 7 CDRN IRB D a ta b a se 7 Million Patients 8 RESPONSE 4 3  REQUEST Collect consent Notify all hospitals of patient consent 10 Hospitals deliver consented data H ospitals CUMCDOCTORS MONTEFIORE WCMC NYPCUMC MSHSNYPWCMC NYULMC LFHC 11 Partially funded by the Patient Centered Outcomes Research Institute cohort has been identified, the CDRN will obtain approval from a central IRB, arrange to recontact the patients and obtain consent for the proposed study, and provide the needed information to the PI. As part of the Patient-Centered Outcomes Research Network, it is possi- ble to identify cohorts across 11 such CDRNs nationally, though each has its own identification process. We show here how the NYC-CDRN manages the process: