J-curve
The shape of technology adoption where costs come first and returns arrive later. Organizations that give up during the early dip pay for the learning without ever collecting the reward.
A radiology department switches on a reporting assistant, and for the first few months turnaround gets slower while radiologists check its drafts, rebuild templates and settle who edits what. At the first quarterly review the numbers look worse than before the purchase, and someone proposes switching it off. Agree before go-live how long the dip is expected to last, which measure should turn upward and by roughly when, and what result would justify stopping, so the review has a plan to compare against.
Terms like this come up in real clinical scenarios across the HelloAI courses: bite-sized modules with verifiable certificates. An account takes one minute, no password needed.
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