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College of
Health Sciences

Phenomic Analytics and Clinical Data Core

The Phenomic Analytics and Clinical Data Core (PACDC) provides data content expertise, support and summarization of findings for research studies to Geisinger investigators, clinicians, residents and medical student learners. 

Services include:  

  • Data development and modeling from multiple data sources
  • Development of validated phenotypes and analytic variables for population cohort algorithms
  • REDCap survey data capture
  • Data visualization
  • Study feasibility in the form of Preparatory to Research (PTR)

Data Modeling and Dataset Development 

PACDC provides data support in the form of data management, programming and summarization of large databases to create analysis-ready datasets, data models and data visualization tools. 

To create these data repositories that are used to participate in research networks and answer study questions, PACDC builds and develops data from our EPIC Electronic Health Record (EHR) data, claims, billing and the Phenomics Initiative Database (PIDB), our custom architected data model derived from our clinical, claims, billing source systems.  

Currently, PACDC manages the development of the data models for the Health Care Systems Research Network (HCSRN) Virtual Data Warehouse (VDW) and the National Patient-Centered Clinical Research Network (PCORnet) Common Data Model (CDM).

Development of Phenotypes and Analytic Variables 

Defining patient populations and their treatment and outcomes is an iterative and highly complex collaborative process between PACDC analysts, investigators and/or clinicians. Multiple clinical criteria (i.e. applicable diagnoses, labs, medications, procedures, etc.) are evaluated in accordance with clinical guidelines and content expertise when formulating these data variables and patient population specific datasets. The phenotypes and data variables are rigorously tested and validated through a variety of quality assurance techniques, which include clinician input and chart review to increase quality and accuracy.

Contact us

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Phenomic Analytics & Clinical Data Core
100 North Academy Ave.
Danville, PA 17822

Exploratory Feasibility Analysis

Investigators with specific research questions in mind can do preliminary work to determine the feasibility of conducting a study. A preparatory to research form is required and can be submitted to the PACDC to extract counts or specific data on a patient population to determine if an adequate sample size exists or if data exists to complete a study.

Electronic Survey Instrument Deployment

The PACDC also provides services to deploy survey instruments and survey tracking in conjunction with the Survey Research and Recruitment Core. We are developing the forms in REDCap and storing the data in MS SQL Server. 

Terminology Management Solutions

Local codes are mapped to standard terminologies for many concepts. Change management is deployed to track changes to code systems over time. They are currently focused on LOINC, ICD 9/10, SNOMED-CT and RxNorm. Other smaller terminologies are used to coincide with meaningful use guidelines and data model requirements for research networks.

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