Clinical Software Integration

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Clinical Software Integration

 

A data lake stores all raw data, whether structured or unstructured. The data is not yet processed or analysed by data scientists. A data warehouse is a storage location for processed data. As for clinical software integration, healthcare businesses typically rely on several legacy clinical applications, whether it’s for administration, billing, patient record storage, image processing (think x-rays or MRIs, for example) or remote services for patients (health monitoring) and consults with specialists. Given our clinical expertise and insights into the entire patient journey, the number of clinical applications in use are irrelevant as all are integrated while retaining the benefits of each one.

When all applications are integrated (or merged if you prefer) into one solution, it becomes possible to maximise data value by:

  • Reducing inefficiencies: automation can reduce data entry volume, for example, help identify flawed processes and provide real-time backup to prevent data loss.
  • Increasing your cybersecurity footprint: by plugging security holes present in existing solutions, whether it’s equipment, software of ineffective permission management.
  • Allowing process optimisation: it’s now possible to create entire new workflows across the newly integrated clinical applications. These will maximise productivity, efficiency and allow enhanced patient care. All are easily adjusted as business objectives evolve.

Once integrated, by use of a cloud-based data lake, automated extraction of clinical data takes place in the background, allowing healthcare professionals to continue their activities as before.

 

All data extracted from all clinical applications is processed and used to provide future actionable insights on any aspect of the entire documented patient journey.