Data Types

Galileo Cosmos works with all types of raw data

The data being used in Life Sciences has never been broader. Clinical data covering individual patients in large populations, social media listening, multiple Government sources – all alongside commercial data used to track markets and marketing. Bringing all these data types together brings enormous benefits, but also carries significant challenges to ensure that valuable insights are gained.

Data Exploration

Galileo Cosmos works with all types of structured data and can be adapted to work with unstructured data as well. Three key features of Cosmos give the user a unique range of data exploration options:

  • Freedom to explore the data in real-time
    • The visual drag-and-drop interface allows for easy variable selection. Responses come in a few seconds – even with large data sets
    • There is no need for programming, the subject matter expert can interact with their data. No middleman required
    • Drag-and-drop charts and tables give freedom to produce output as the data exploration progresses
  • Flexibility to choose all the variables of interest
    • Data structure is not restricted so tasks that are complex using other systems are simple in Cosmos
    • Custom variables are built using fast drag-and-drop options
    • Any number of cohort definitions can be saved for reuse
  • Speed of operation increases efficiency
    • Initial data set up is completed in a day or two
      • Repeated updates take a couple of hours
      • Clients can manage their own data
    • Analyses typically run in under a minute
      • Very large flow analyses may take 10-15 minutes
      • Parallel processing gives high speed results

Galileo Cosmos is designed to be data agnostic and highly adaptable to your specific needs

Patient Level Data

Patient level data (PLD) usually comes from either claims or electronic medical records (EMR). Galileo Cosmos handles either type of data from any source. When using PLD you have a much wider range of variables to work with. Galileo Cosmos is specifically designed to enable analysis across the full spectrum of capabilities of both claims and EMR data:

  • Records are collected over time and so you can analyse all aspects of care using time as a variable
    • Flow analysis – lines of therapy, sequencing of diagnosis and so forth
    • Lengths of treatment – phases of care
    • Overall care management – sequencing of care from provider to provider, drug to drug, procedure to procedure
    • Reference dates – care since first diagnosis, comorbidities prior to treatment
  • Records are comprehensive
    • You can study the patient’s entire condition, not just the disease of interest. This opens a variety of options in areas of comorbidity analysis and concurrent treatment analysis
    • Analysing interactions across acute and chronic diseases

Claims data provide the broadest coverage of care delivery locations as the data are patient-centric. This means that claims are better for assessing the overall care of a patient across different diseases, different specialties, different care locations.

EMR data provide more comprehensive clinical data, specifically relating to test results. This means that EMR data are better for understanding the details behind decision making in a particular care setting. EMR data are location-centric which means you will have comprehensive data for that location but will not have data on care provided elsewhere.

An ideal solution that Galileo Cosmos facilitates is the combination of PLD from different sources, providing the benefits of both claims and EMR data.

Chart Audit and Survey Data

Survey data and chart audits are classic methods of data collection. The chart pull refers to the extraction of data from patient charts and is usually completed as part of a structured data survey. Typical analysis of chart pull and survey data follows a familiar pattern of generating tables relating to different cuts of the data.

With Galileo Cosmos it is possible to gain deeper and richer insights from chart pull and survey data because Cosmos uses a more flexible analytical engine. This is especially true when a client combines data from multiple surveys into a single data set within Cosmos.

Government Data

Government data can be an incredibly valuable source of insights. Whether it is the Hospital Compare data set that gives detailed data relating to almost every hospital in the country, or the Adverse Event data that reports reported AEs for every product, these data sets are very powerful.

Government data are freely available but come with two caveats:

  • The data sets are often multiple files that must be combined before analysis
  • The data are often reported in a raw format which means data cleaning is required before analysis.

Galileo Cosmos helps with both issues; you can now access both Hospital Compare and FAERS via Galileo Cosmos.

You’ll never look at data the same again Book your demo today