Accelerate Your Clinical Research
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All Medical Breakthroughs Start With A QuestionMany healthcare workers have questions which could lead to healthcare discoveries and research publications, if they had the ability to tap into underutilized clinical databases to answer their questions. After obtaining IRB approval for retrospective or prospective clinical research, many people run into roadblocks accessing and interpreting clinical data. Sending requests for data to a non-clinical data team often leads to delays and data which doesn’t fully capture what was intended. Data files shared back and forth in different formats lead to missing data or calculation errors, and if new data is collected later on, can be a headache to try to replicate analysis. Often, clinicians simply rely on chart review to extract clinical data which is incredibly time consuming and risks inaccuracy and variability between providers.A Better Way: MDIThe Medical Data Investigator was created to accelerate clinical research and help people move much faster from question to healthcare discovery. We believe that a user friendly, yet powerful tool can enable clinicians without technical backgrounds to extract healthcare data and analyze it in a unified pipeline. MDI can be configured to connect to your healthcare organization’s existing clinical databases, or tap into anonymized clinical research databases like MIMIC-IV. After obtaining IRB approval, researchers can use drag and drop tools to define patient inclusion and exclusion criteria for a research project and query the database through MDI to identify a specific cohort.Secure Data ExtractionNext, researchers can choose from a list of data fields available for their patients and download this data to their research device completely encrypted. Once the data is downloaded, it can only be accessed through a device passcode provided with every use of MDI. If the passcode is lost, extracted data cannot be recovered and would need to be re-downloaded. Clinical data is never sent by MDI to any server or cloud.Flexible ReportingOnce the desired data is extracted, MDI makes it easy to view and analyze this data in multiple formats. Data lists allow you to create a list where each row can be a specific patient, admission, surgery, or procedure, and for each row, you can define a list of column features which can represent anything from the value of the first hemoglobin after surgery to the total amount of X medication, to the time from the start of an admission to the time of a specific outcome of interest. These features can be configured however you want and also named and saved to a sharable library for re-use. All features can also be easily copied and used elsewhere in MDI as filters to narrow down data of interest. Data lists can be exported in Excel, CSV, or JSON format for further analyses, or further analyses can be done within MDI.Automatic StatisticsWith the statistics add-on for MDI, a summary table can be created using a list of features to easily generate aggregate statistics about a population of interest such as the most frequent names of surgeries, mean or median blood product administration counts, and more. Further, a set of sub-populations can be defined using filters, which then automatically generates a table of comparative statistics looking for significant differences in features between populations. Adding cohort matching between populations to minimize confounders is as easy as creating a sub-list of features to match by, and MDI will do the matching for you.More to ComeMDI continues to improve with an exciting roadmap of features, including timeline visualization, REDCap® integration, outcome prediction, multivariate regression, and more. Together, let’s accelerate clinical research and help star researchers turn their questions into discoveries.
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