How fast should a dental software crash actually be fixed?
Fast enough that the schedule does not feel it. For the common, well-understood failures - a stopped database service, a stuck print queue, an imaging bridge that dropped - that means seconds, not hours, often in as little as ~22 seconds. These are not mysteries that need investigation; they are known failures with known fixes. The honest benchmark is not "how quickly does someone call you back," but "how much chair time is lost between the failure and the fix." For routine failures, the right answer approaches zero.
Why does the speed matter so much in a dental office?
Because a dental practice runs on a schedule with no slack. When Dentrix locks up at 9:10, the 9:00 patient is in the chair, the 9:30 is in the waiting room, and the front desk is on the phone. Every minute of that outage is production you do not get back and goodwill you spend. An hour-long resolution time that would be fine for an office's email is a real loss in an operatory. Speed is not a luxury metric here; it maps directly to lost production. (See what dental downtime costs.)
Why does traditional IT take hours when the fix takes minutes?
The delay is almost never the fix - it is everything around it. In a reactive model the clock runs through: someone notices, someone calls, the ticket queues, a technician becomes available, they remote in or drive over, and only then do they apply a fix that itself takes a minute. The actual repair is small; the wait is the outage. That is the gap autonomous IT is built to remove. (See proactive vs reactive dental IT.)
How can the common failures be fixed in seconds?
By recognizing them and acting without waiting for a human round-trip. A dental-native platform knows what the Dentrix database service is, what a stuck print spooler does to X-ray and label printing, and what an Eaglesoft engine looks like when it did not restart after an update - so when one of those happens, the safe, known fix can run immediately, inside boundaries the owner authorized - for the most common failures, in as little as ~22 seconds. No notice, no ticket, no drive. (See why the print spooler keeps stopping and Open Dental running slow.)
What about the problems that are not routine?
Those should still go to a person - quickly. The point of resolving the routine 80% automatically is that the human team is free to give the genuinely hard 20% real attention instead of being buried in password resets and stuck queues. "Seconds for the routine, a fast human for the rest" is the standard to hold a provider to. Anything that turns a known, common failure into an hours-long ticket is leaving your chair time on the table. (See can AI fix my dental software automatically?)
What speed should I expect, and how do I verify it?
Ask any provider two things: which failures they resolve automatically versus by ticket, and whether they can show you a log of what was fixed and when. A glass-box platform turns "we are fast" into something you can read back rather than take on faith. (See how to audit what your IT can see and do.) CyberCore resolves the common failures automatically and shows you every action; see pricing.