electronic medical records & biomedical informatics resources
TRANSCRIPT
Neurology Stroke Research Retreat:
Electronic Medical Records & Biomedical Informatics Resources
Arthur Berg, PhDCTSI Biomedical Informatics Program Leader
Bioinformatics Core Director
Biomedical Informatics Services
• Clinical Research Informatics Core
• EMR data
• i2b2
• Health Facts
• Bioinformatics Core
• REDCap
• Profiles
Biomedical InformaticsBiomedical Informatics Services Anna C. Salzberg, Guodong Liu, Ben Tshudy, Robert Aronoff, and Arthur Berg
http://ctsi.psu.edu/
Bioinformatics Core Arthur Berg, PhD Director, Bioinformatics Core
Other Members: Anna Salzberg, Senior Bioinformatician Guodong Liu, Postdoctoral Scholar Rich Rauscher, Director of Research IT
Analytical Services Provided: ! Annotating NGS Data
! Whole genome ! Exome ! ChIP-seq ! TCGA (sequence & GWAS)
! Other Genomewide data structures ! Gene expression array ! SNP array ! Proteomics (iTRAQ) ! Methylation array ! Exon array
! Focused Technologies ! Candidate genes ! Functional SNPs ! Pyrosequencing data ! Focus PCR array
! Analytical Methods ! Genetic association ! Biomarker analysis ! CNV analysis ! Multiple hypothesis correction ! Genetic signatures ! Predictive models ! Pathway/GO analysis ! Haplotype analysis ! Gene-environment interaction ! Gene-gene interaction
! Novel Methodology
How to access these services?
Clinical Informatics Research Core Arthur Berg, PhD
Robert Aronoff, MD
Ben Tshudy, BS
The Bioinformatics Core provides expertise in bioinformatics analysis and computational competency that is required by many areas of clinical and translational research.
AFRICASanAFRICAMbutiPygmyAFRICABiakaPygmyAFRICABantuSouthAfrica
AFRICAYoruba
AFRICAYoruba
AFRICAMandenkaAFRICABantuKenya
AFRICALuhya
AFRICAMaasai
ADMIXEDAfrican American
MIDDLE_EASTMozabite
MIDDLE_EASTBedouin
MIDDLE_EASTPalestinian
MIDDLE_EASTDruze
EUROPEAdygei
EUROPESardinianEUROPETuscan
EUROPEToscans
EUROPEItalian
EUROPEFrench
EUROPEOrcadian
EUROPEEuropean American
EUROPEBasque
EUROPERussian
CENTRAL_SOUTH_ASIAGujarati
CENTRAL_SOUTH_ASIAMakrani
CENTRAL_SOUTH_ASIABalochi
CENTRAL_SOUTH_ASIABrahui
CENTRAL_SOUTH_ASIAKalash
CENTRAL_SOUTH_ASIABurusho
CENTRAL_SOUTH_ASIAPathan
CENTRAL_SOUTH_ASIASindhi
CENTRAL_SOUTH_ASIAHazaraCENTRAL_SOUTH_ASIAUygurEAST_ASIAYakutEAST_ASIAMongolaEAST_ASIATuEAST_ASIAXiboEAST_ASIAOroqenEAST_ASIAHezhenEAST_ASIADaurEAST_ASIAJapanese
EAST_ASIAJapanese
EAST_ASIAYiEAST_ASIANaxiEAST_ASIATujiaEAST_ASIAHan-NChina
EAST_ASIAHan
EAST_ASIAHan
EAST_ASIAChinese American
EAST_ASIASheEAST_ASIAMiaoEAST_ASIADaiEAST_ASIALahuEAST_ASIACambodianOCEANIAMelanesianOCEANIAPapuan
ADMIXEDMexican American
AMERICAMayaAMERICAPimaAMERICAColombianAMERICAKaritianaAMERICASurui
LF_1015 (0.42) [27]
number of cis = 10
559
554
153
404 560050
247
735
590
624
621 955
310
027
435
104
897270
155
413
510
0.670.65 0.640.64 0.630.54
0.720.72
0.780.73 0.72
0.79
0.52
0.62
−0.51
0.44
−0.48−0.44
−0.42
−0.45
ACTCAT (11)
AWTTCAAA (11)
CTGACY (10)
GAGAC (29)
GCCAC (32)
V14/V22/V30/V33/V36
pval_perm: 0/0/0/0/0
pval_norm: 0/0/0/0/0
05618/16301/09507/16020/12505
8/6/6/5/4
Genotype Association on IPAA Complication
mild
Crohn's−like
severe
mild
Crohn's−like
severe
mild
Crohn's−like
severe
TLR
ATG16L1
TNFSF15X5p13.1
CARD9
X10q21
C6orf85
JAK2
U6
NOD2TNFSF15
S100z
PTGER4
−1.0 −0.5 0.0 0.5
−0.3
−0.2
−0.1
0.0
0.1
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SanMbutiPygmyBiakaPygmyBantuSouthAfricaYorubaYRIMandenkaBantuKenyaLWKMKKMozabiteBedouinPalestinianDruzeAdygeiSardinianTuscanTSIItalianFrenchOrcadianCEUBasqueRussian
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0 50 100 150 200 250 300
0.00.5
1.01.5
2.02.5
3.0
Time (min)
Norm
alize
d Exp
ressio
n
AFRICA
SanAFRICA
MbutiPygmy
AFRICA
BiakaPygmyAFRICA
BantuSouthAfrica
AFRICA
Yoruba
AFRICA
Yoruba
AFRICA
Mandenka
AFRICA
BantuKenya
AFRICA
Luhya
AFRICA
Maasai
ADMIXED
African American
MIDDLE_EAST
Mozabite
MIDDLE_EAST
Bedouin
MIDDLE_EAST
Palestinian
MIDDLE_EAST
Druze
EUROPE
Adygei
EUROPE
Sardinian
EUROPE
Tuscan
EUROPE
Toscans
EUROPE
Italian
EUROPE
French
EUROPE
Orcadian
EUROPE
European American
EUROPE
Basque
EUROPE
Russian
CENTRAL_SOUTH_ASIA
Gujarati
CENTRAL_SOUTH_ASIA
Makrani
CENTRAL_SOUTH_ASIA
Balochi
CENTRAL_SOUTH_ASIA
Brahui
CENTRAL_SOUTH_ASIA
Kalash
CENTRAL_SOUTH_ASIA
Burusho
CENTRAL_SOUTH_ASIA
Pathan
CENTRAL_SOUTH_ASIA
Sindhi
CENTRAL_SOUTH_ASIA
Hazara
CENTRAL_SOUTH_ASIA
Uygur
EAST_ASIA
Yakut
EAST_ASIA
MongolaEAST_ASIA
TuEAST_ASIA
XiboEAST_ASIA
OroqenEAST_ASIA
HezhenEAST_ASIA
Daur
EAST_ASIA
Japanese
EAST_ASIA
Japanese
EAST_ASIA
YiEAST_ASIA
NaxiEAST_ASIA
TujiaEAST_ASIA
Han-NChina
EAST_ASIA
Han
EAST_ASIA
Han
EAST_ASIA
Chinese American
EAST_ASIA
SheEAST_ASIA
MiaoEAST_ASIA
DaiEAST_ASIA
LahuEAST_ASIA
CambodianOCEANIA
MelanesianOCEANIA
Papuan
ADMIXED
Mexican American
AMERICA
Maya
AMERICA
PimaAMERICA
ColombianAMERICA
KaritianaAMERICA
Surui
The Clinical Informatics Research Core provides services to perform electronic health record data extraction for research use in a manner that is IRB-compliant and insures the privacy and security of patient data.
Lab values Billing codes Medications Payer data Admission data Diagnosis codes Diagnosis tests Physician provider Consults Patient education
Sample'data'requests'Request' Approach'
Identify)a)cohort)of)smokers)seen)in)specific)clinic.))Cohort)will)be)approached)about)a)smoking)cessation)protocol.))This)is)a)funded)project.)
1) Identify)which)nursing)forms)include)the)proper)smoking)status)
2) The)master)list)of)departmental)physicians)is)not)accurate.))Queries)need)done)by)individual)providers)and)not)department.)
3) Identification)of)appropriate)doctorBpatient)relationship)best)done)through)cross)joining)CPT)data)within)the)HPM)universe.)
Identify)a)cohort)of)patients)with)the)diagnosis)of)acute)renal)failure)that)received)dialysis)and)passed)through)the)HVICU)or)SICU)during)their)hospital)stay.))This)is)for)a)grant)application.)
1) ICD9)diagnoses)and)procedures)are)best)identified)via)HPM)universe.)
2) First)pass)cohort)from)HPM)is)cross)joined)with)Cerner)where)historical)bed)location)list)is)constructed.))HVICU/SICU)cohort)is)identified.)
)
Health Facts Research Database
" Request forms will soon be available on the CTSI Biomedical Informatics website. Before then, you can contact Dr. Berg ([email protected], x3039).
" Questions related to the REDCap service should be directed to Terri Sckuda ([email protected]).
Data PharmNet
Lookup PowerChart
Control SurgiNet
profiles.psu.edu
i2b2
i2b2
PSU Data Warehousehttp://infonet/decisionsupport/remedyweb.htm
Cerner Health FactsMore than 1.3 billion laboratory results
More than 84 million acute admissions, emergency and ambulatory visits
More than nine years of detailed pharmacy, laboratory, billing and registration data
More than 151 million orders for nearly 4,500 drugs by name and brand
Over 100 Cerner clients, including PSH
Fully de-identified
PSU IRB determination
Updated twice annually
Do laboratory test results indicate evidence of adverse drug reactions?What are the demographic and clinical characteristics associated with a given drug treatment?What concomitant drugs did the patient receive?What drugs comprised the empiric regimen and what subsequent changes were made to that regimen?What are the actual doses or treatment regimens for specific patient populations or age groups?How are dosing and treatment regimens changing over time?Were certain dosing patterns linked to different outcomes?Do practice patterns differ by physician specialty or hospital type (size, teaching status, urban/rural)?Did the clinicians adhere to recommended treatment guidelines?Does the timing of this medication affect outcomes?What was the length of stay and what are billed charges?What was the in-hospital mortality for a given condition and what factors were associated with death?
Administrative candidate predictors
• Admission source, status, service • Age, gender, race • Primary/secondary payers • Primary/secondary diagnoses (names
and condition categories) • Total length of stay, ICU length of
stay • Hospital costs and charges • Discharge status and disposition • All-cause same-center admission in
preceding year
Clinical candidate predictors
• Specialty medical services consulted • Specialty ancillary services consulted • Blood laboratory values • Medications name / therapeutic class • Dosages of medications • Patient weights during hospitalization • Transfusions during hospitalization • Nursing assessments • Education topics • Diagnostic tests ordered • Ordersets utilized
- 1612 consecutive heart failure discharges abstracted - 1280 candidate predictors screened - Target class: Readmission at 30 days ( binary )
CHF ReadmissionCollaboration with Robert Aronoff, MD
High-Dimensional Predictive ModelsAdmissions within prior year ICU Days
Anion Gap Initial Systolic BP
Final BNP BUN-Creatinine Ratio
Ongoing Clinical Trialshttp://www.ninds.nih.gov/disorders/stroke/
detail_stroke.htm#229981105
--Albumin in Acute Ischemic Stroke (ALIAS) Trial-- Antihypertensive Treatment of Acute Cerebral Hemorrhage (ATACH ll)-- A Randomized Trial of Unruptured Brain Arteriovenous Malformations (ARUBA)-- Clot Lysis: Evaluating Accelerated Resolution of Intraventricular Hemorrhage, Phase III (CLEAR III)-- Field Administration of Stroke Therapy Magnesium Trial (FAST-MAG)-- Insulin Resistance Intervention after Stroke Trial (IRIS)-- Interdisciplinary Comprehensive Arm Rehabilitation Evaluation (I-CARE)-- Interventional Management of Stroke Trial (IMS III)-- Platelet-Oriented Inhibition in New TIA and Minor Ischemic Stroke (POINT) Trial-- Stroke Hyperglycemia Insulin Network Effort Trial (SHINE)
Bioinformatics Services• Annotating NGS Data• Whole genome• Exome• RNA-seq• ChIP-seq• TCGA (sequence & GWAS)
• Other Genomewide data structures• Gene expression array• SNP array• Proteomics (iTRAQ)• Methylation array• Exon array
• Focused Technologies• Candidate genes• Functional SNPs
• Pyrosequencing data• Focus PCR array
• Analytical Methods• Genetic association• Biomarker analysis• CNV analysis• Multiple hypothesis
correction• Genetic signatures• Predictive models• Pathway/GO analysis• Haplotype analysis• Gene-environment
interaction• Gene-gene interaction
• Novel Methodology