CiDrep Enterprise Clinical Informatics Services clinical and scientific informatics services

Clinical Informatics – Data Analytics

CiDrep enterprise informatics solutions and services support clinical trials, research and clinical facilities. We can help you handle all your technology needs that runs your medical centers, translational science operations, hospitals, physician offices and medical companies.

Biomedical Informatics

Clinical Informatics Services

In hospitals today, data is growing fast and arriving from many different areas, including individual electronic health records (EHRs), labs and imaging modalities, physician notes, patient portal correspondence, insurance claims and finance. Studies have shown that over 80 percent of this data is unstructured—yet clinically relevant.

Getting access to this valuable data and factoring it into clinical and advanced analytics is critical to:

Discovering hidden trends/behaviors to promote better outcomes
• Identifying promising new treatment options
• Finding techniques to reduce readmissions or hospital-borne infections
• Proactively identifying those who are likely to contract a chronic disease
• Physician techniques that promote more effective patient care
• Identifying hidden insights in the data

We can design, build and implement a powerful, easy-to-use informatics infrastructure with applications for:

CiDrep helps companies capture, aggregate, manage, integrate, map and analyze complex laboratory and clinical data to improve research discovery and healthcare delivery to improve operational efficiency.

  1. Information and data aggregation that lead to meaningful towards permanent care.
  2. The integration of IT and clinical information department to create an Informatics Department.
  3. Development of Clinical Informatics solutions that support efficiency, care quality and mitigation of clinical information policies and governance risks for Electronic Patient Records.
  4. Collect and analyze a broad set of data from healthcare providers and patients to effectively detect, assess, and understand adverse events.
  5. Support many types of bioinformatics data analyses (routine and customized) that involve any types of Next Generation Sequences data produced from any sequencing platforms, and for any established pipeline or novel applications, then further work with you to implement cloud-based registries to house and manage your big data.
  6. Allow exchange of data between systems in your healthcare and clinical environments with many leading industry standards.
  7. Work with your teams to create standards that better optimize your patient care work-flow and delivery processes and get the most from your clinical software investments.