Researchers and provider organizations are finding solutions to issues preventing the use of big data analytics in healthcare, reports Health IT Analytics.
While the potential for big data analytics in healthcare has been well-documented in countless studies, the possible risks that could come from using these tools have received just as much attention.
Big data analytics technologies have demonstrated their promise in enhancing multiple areas of care, from medical imaging and chronic disease management to population health and precision medicine. These algorithms could increase the efficiency of care delivery, reduce administrative burdens, and accelerate disease diagnosis.
Despite all the good these tools could potentially achieve, the harm these algorithms could cause is nearly as great.
Concerns about data access and collection, implicit and explicit bias, and issues with patient and provider trust in analytics technologies have hindered the use of these tools in everyday healthcare delivery.
Healthcare researchers and provider organizations are working to find solutions to these issues, facilitating the use of big data analytics in clinical care for better quality and outcomes.
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