Faculty can visit the Katz Portal to learn more about these offerings and how to access them. 

Epidemiology 

Clinical, social, and molecular epidemiologists experienced in quantitative approaches to etiologic, prevention, treatment, and community outreach studies can provide insights that span the translational continuum regardless of disease focus. Further, our faculty can provide insights into proposals and projects interested in health differences, social determinants of health, clinical decision-making, risk prediction, implementation science, geospatial analysis, multilevel analysis, and genetics and biomarkers. We have experience in cohort, cross-sectional, case-control, and trial designs. 

Our epidemiologists provide the study design and analytical resources needed by Katz investigators who are studying complex traits associated with risk of cancer, metabolic disorders, and other diseases. 

Biostatistics 

CBE faculty and staff provide advanced biostatistical and methodological support in the areas of basic, clinical, and translational research to Temple University Hospital trainees and Katz faculty and students. Our team consults on research project study design, randomization procedures, sample size and power calculations, database development, and data analysis. Assistance with writing research grants and manuscripts is also available. Collaborative partnerships with clinical investigators are welcome. While initial consultations are provided at no cost, grant support or other financial arrangements may be necessary. We provide biostatistics support for projects led by Katz students at no charge.  

Clinical Research Informatics & Data Resources

The Clinical Research Informatics team helps triage research opportunities and provides clinical data for research and quality improvement projects. In general, any patient data captured in the Temple Health electronic health record can be abstracted in bulk. Available data include, but are not limited to, the following: 

• Demographics: date of birth, sex, race, ethnicity, preferred language 
• Clinical encounter information: date, type (e.g., ambulatory, emergency, hospital), discharge status, facility location, payer 
• Immunizations 
• Medication ordered, dispensed, and administered 
• Diagnosis and procedure codes 
• Vital signs (e.g., height, weight, blood pressure, BMI) 
• Smoking and tobacco use 
• Laboratory results 
• Residential address 

PCORnet and PaTH 

Temple University, together with the University of Pittsburgh and UPMC, Penn State College of Medicine and Hershey Medical Center, Johns Hopkins University School of Medicine, Geisinger Health Systems, University of Michigan, and the Ohio State University, constitute the Clinical Research Network PaTH, which is part of PCORnet, the National Patient-Centered Clinical Research Network. PaTH maintains analysis-ready, quality-checked, regularly refreshed data sets that meet relevant regulatory and legal requirements. Both retrospective and prospective research, including clinical trials, can be done with PaTH. There are procedures for ensuring network data quality and disseminating our experience to promote PCORnet-wide data quality standards.

TriNetX 

TriNetX is a self-service web-based data exploration tool that can be used for cohort exploration and data analytics on de-identified patient data from TUHS electronic health records and other healthcare organizations across the country and the world. Researchers can query and analyze this data to gain insights into patient populations, disease trends, treatment outcomes, and more. TriNetX provides training on how to navigate the interface, utilize search functionalities, and extract meaningful insights from the dataset.