CiDrep Informatics Consulting for Healthcare and Life Sciences

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The CiDrep Way – Informatics Consulting

The CiDrep Way drives your requirements for clinical and research data solutions

CiDrep informatics consulting practice is the foundation of our services that underlies our mission of providing highly stable and secure informatics solutions, cloud infrastructures and software registries that makes sense of enormous volumes of data being generated in clinics and laboratories that drives translational research and clinical care.CiDrep cropped-orangesphere_flat1.jpg

We focus on the four domains of Biomedical Informatics and three primary areas of computation research and development involving: 

CLINICAL INFORMATICS BIOINFORMATICS HEALTH INFORMATICS IMAGING INFORMATICS CLOUD COMPUTING DATA PLATFORMS REPOSITORIES

 

 

Overview 

Informatics platforms drives the requirements for big data informatics solutions that integrate and manage the full variety, velocity and volume of data for enabled interoperability through aggregation, harmonization and integration. We can provide a powerful, easy-to-use platform for building clinical and disease registries or NGS research tools for your research and clinical care.

CiDrep Data Types

Informatics Data Types

Capabilities

CiDrep’s informatics platform includes applications for developing electronic data capture (EDC) forms, generating pre-defined queries and reports, and creating dynamic dashboards for visualizing patterns in clinical and research data. We enable clients to build an enterprise-wise research informatics platform in a step-by-step process, lowering investment costs and reducing implementation risks, by:

  1. Identify all data sources (types, sizes, etc) from a variety of information (Databases, Files and Messages)

  2. Provide connectivity to sources, while mapping information in motion (identify and describe data sources)

  3. Publish filters to identify relevant records from extreme volumes of information and pre-filter relevant records and stage them as data sources

  4. Discover and Experiment: Create representative data set and map definitions for each sources

  5. Manage and verify data correctness. Enforce data structure, integrity and control to ensure consistency for repeatable analysis

Service Delivery Model: Supporting every aspect of our client’s investments

Evidence Based Medicine

  • Analyzing Care experience requires inspecting structured, unstructured data and relational data for evidence based Healthcare Models driven by “Health outcomes” and “Disease-diagnosis”.

Public Health Management

  • Conducting disease management and surveillance requires exhaustive processing of structured and unstructured data to identify chronic and  re-emerging infectious diseases

Predicting Health Outcomes

  • Having patients 360°  view, implies that you are looking at all their data to provide optimal care
  • Knowing patient’s lifestyle and habits helps drive optimal outcomes and is part of providing comprehensive care pre and post visit.

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