Examining Medical Records for Sufficiency for Medical Research

Telegenisys research support group retrieves and organizes medical records for natural history studies and clinical trials. Our teams often extract and summarize relevant retrospective data found in medical records.

Medical record sufficiency is perhaps more pertinent in medical research support as compared with our work for legal and insurance sectors. The iterative process of ensuring retrospective data we retrieve for investigation is sufficient is often challenging and developing close communication with study PIs (Principal investigators) is important in developing such solutions.

In a recent genetic neurological disease study we were tasked to ensure we obtained diagnostics which included MRI, MRS, Urine NAA, genetic testing among other prerequisites.

Telegenisys has produced data organization software which makes our record sufficiency reviews easy and structures medical data for review. Researchers extracting data at the research hospital used this organization to simplify data extraction and the physicians used this in patient reviews prior to patient visits.

Examining medical records to ensure data sufficiency saves time, improves clarity and structure of interventions and substantially accelerates medical review.

Telegenisys’ medical record organization software is called VMR (Visualize Medical Records). It allows researchers and reviewers to add medical records over time as studies progress while maintaining a medical data model in a single medical record file to ensure simplicity of review. The software references data using disease specific symptomatology, providers by NPI (National Provider Index), event types, ICD9 & 10 disease codes, Medications by RxNorm reference. Application of standards based referencing simplifies comprehension by both medical and non medical professionals. Medical data is organized chronologically and by significance. This multi layered referencing and indexing approach to managing research and review data is uniquely effective in dealing with large medical records. See how this works here > Medical chronology page examples

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