Can AI Tear Down Healthcare’s Data Silos?
In healthcare, communication and coordination are often weak. This is a problem that‘s bedeviled patient care teams, the health insurance / healthcare provider relationship, and many other corners of this complex, multi-stakeholder industry. Even if data is theoretically compatible between systems, siloed organizations aren’t accustomed to seeing and assessing information from beyond their domains. The result is like the old adage of people in a dark room, each feeling just part of an elephant and trying to describe the entire animal. Their views about pieces of the puzzle dont add up to a coherent whole. AI has a potentially large role to play in making sense of the pieces. Some of the earliest widespread applications may be in parts of the industry where the consequences of occasional IT lapses are low and the regulatory bar isn‘t daunting. So, before AI routinely saves patients’ lives, it may regularly make the industry more efficient. One big segment offers a tempting target: life science sales and marketing. Despite this function frequently costing life science companies more than their R&D expenses, it‘s rife with dysfunction. Life science sales, marketing, and data management teams can be siloed and poorly coordinated, and so they focus on narrow measures that
