If you want to make a positive impact in healthcare with any data science project, keep two things in mind. First, put your customer and end-user at the center of everything. Second, make sure you are addressing a real need.
To ensure technologies such as AI and machine learning truly deliver value, you need to think carefully about how they are going to get seamlessly embedded into existing workflows in a way that allows healthcare professionals to gain the most from them.
What often sets successful projects apart is close collaboration with clinicians throughout the project. We also find that virtual teaming across our research and product development teams accelerates the translation of scientific research into solutions that benefit care providers and patients.
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