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The main responsibilities of business analysts involved in projects within the healthcare sector include gathering, interpreting, and presenting data to help organisations make informed decisions.
They typically cover the areas of operational efficiency, cost reduction, patient satisfaction, and regulatory compliance all to enable healthcare organisations to function more efficiently and provide optimal care for their patients.
So, by collecting, analysing, and documenting data from electronic health records (EHRs), clinical studies, patient surveys, and various other sources, business analysts play a role in improving healthcare delivery and enhancing patient outcomes.
However, performing these tasks is usually quite challenging for business analysts, as the amount of data generated in hospitals and other healthcare organisations is massive and, more often than not, unstructured.
This creates significant obstacles when it comes to data processing, at least when done by using traditional methods. And, this is where AI comes into play, providing tools and methods that BA practitioners can use to process huge data sets, extract insights more efficiently, and focus on higher-level strategic tasks.
There is no doubt that this technological synergy and fusion of AI innovation and proven analytic methods hold great potential for the future of business analysis in healthcare.
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