Data science is driving innovation across the healthcare industry.

Data holds the key to the next wave of medical innovation. With machine learning as the catalyst, this shift will significantly change how payers, providers, patients and pharmas operate and interact.

The US healthcare system generates approximately 1 trillion gigabytes of data annually, and while some players are already tapping into this trove of information many organizations come unstuck when integrating machine learning and AI into the current technology and compliance strategies.

Healthcare Tableau

Key AI Opportunities

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  • Research rare conditions
  • Improve diagnostic accuracy
  • Accelerate time-to-diagnosis
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Reduce costs

  • Reduce time to discovery
  • Predict hospital stay durations
  • Automate digitalization of patient records
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Reduce risk

  • Focus drug prescriptions and treatments
  • Accurately predict readmission risk

Key AI challenges

  • Building customer trust in machine learning techniques, especially around Personally Identifiable Information (PII)
  • Enabling AI teams with state-of-the-art tooling that is increasingly open source
  • Explaining machine learning decisions to auditors and regulators
  • Moving machine learning initiatives from proof of concept to production ready

How can Dotscience help?

Dotscience provides banks with a suite of tools that give your AI teams the tools and processes they need, while bringing your machine learning into a robust model governance framework that will integrate seamlessly with your risk department’s processes.

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