AI is anticipated to potentially save healthcare professionals up to $110 billion within the next five years. This can translate to even further cost optimizations and more efficient healthcare systems on a global scale. However, with critical patient data and lives at stake, AI in healthcare must be done right.
IT leaders must prioritize building a strong foundation in core data and AI principles before diving headfirst into complex solutions. These principles include:
1.Build a foundation of good, clean data.
2.Start small.
3.Set realistic expectations.
4.Seek peer advice.
By maintaining current systems (many of which are customized to fit their unique business needs) and leveraging the data that comes from those systems to feed the AI machine outside of ERP, healthcare organizations can achieve the following benefits, Adopt AI innovations immediately vs. delaying for years by taking on a lengthy upgrade or migration track, Stay flexible and in control of their IT roadmap. Overreliance on a single vendor and product can limit future options and hinder innovation etc.