Here is What Stanford Discovered From a Failed Tech Pilot

Here is What Stanford Discovered From a Failed Tech Pilot


About 70% of hospital IT pilots fail or face main challenges, based on from the Standish Group. However it is rather uncommon for hospitals to debate these setbacks or share research of implementations that didn’t go as deliberate.

Two nurse leaders bucked that pattern by sharing an attention-grabbing story throughout a Thursday session on the annual in Chicago. Monique Lambert and Nerissa Ambers — each senior managers of nursing innovation at informatics at — argued that challenge failure is nothing to be ashamed of as a result of it could actually educate hospitals beneficial classes about what they want for expertise initiatives to thrive sooner or later.

In Lambert’s view, failure is inevitable in the case of healthcare expertise pilots. She joked that “the greatest approach to keep away from the failure of digital well being initiatives is by avoiding them within the first place.”

However not working digital well being pilots is out of the query given the potential for good. So what needs to be finished?

When it turns into obvious {that a} pilot isn’t figuring out the best way the hospital had hoped, Lambert inspired the staff in control of the challenge to “undertake a recovery-oriented mindset.” On this state of affairs, the purpose needs to be extracting as a lot information as attainable whereas the pilot continues to be ongoing.

She and Ambers shared an instance of a failed well being IT pilot from 2019 that they had been concerned in at Stanford. The well being system had got down to create a modernized tech hub for its inpatients — the thought was to consolidate sufferers’ contact factors right into a single tablet-like machine in order that they might work together with all their in-room expertise extra seamlessly.

The machine allowed sufferers to do a wide range of issues, similar to management the window shades and consider the each day menu. Sufferers might additionally use the machine to make nurse calls and allow them to know what their particular request is, whether or not it was for ache medicine, ice chips or a visit to the toilet.

Normally, nurse calls go to the unit secretary, who has to determine what the affected person wants and which nurse is obtainable to take care of them. The purpose with the brand new affected person hub was to get rid of calls to the unit secretary for generally requested objects, Lambert defined.

Three weeks into the pilot, the nursing informatics staff’s information confirmed that solely a pair calls had been made on the units. The staff then found that a lot of the affected person hub units they’d put in in rooms had been fully unused. 

“There’s no information as a result of no one’s truly utilizing it. And so that you attain this level of, ‘Okay, what are we doing? How can we repair this? Folks aren’t utilizing it — how can we make them use it? How can we rescue this challenge?’” Ambers mentioned.

The nursing informatics staff found out that nurses had been approach too busy to teach sufferers about how one can work together with the machine. So the staff began going into sufferers’ rooms to introduce them to the affected person hub.

In most of the rooms that the staff went into, the machine had by no means been activated, Lambert mentioned. 

Staffing ranges for nurses are , in order that they don’t have time to arrange units for these sufferers. However sufferers require a great deal of hand-holding to successfully use the affected person hub — many inpatients are older, on heavy medicine or simply got here out of surgical procedure, in order that they aren’t precisely the sharpest they’ve ever been, Lambert identified.

“It’s a must to stroll up subsequent to any person and stroll them by it very slowly to allow them to have the expertise with expertise — in order that they’ll expertise the magic. That was one thing that we came upon,” she declared.

However having a member of the nurse informatics staff within the room to orient every new affected person to the machine isn’t possible. Neither is requiring nurses to reset the machine each time the room will get a brand new affected person, Ambers mentioned.

When a brand new affected person comes right into a room, the nurse must wipe the machine and manually reactivate it, spending quarter-hour or so doing issues like deciding on language preferences, getting into affected person data and ready for recalibration.

“If we put that form of a burden onto a nurse who’s doing 1,000,000 different issues, it’s in all probability not going to be the best precedence for them to say ‘Let me ensure that this machine is wiped in order that I can then introduce it to the affected person,’” Ambers defined.

After the 90-day proof-of-concept pilot, the staff realized that the expertise merely didn’t match into nurses’ workflows. However they didn’t write off the pilot as an embarrassing experiment that they need to erase from their reminiscence. As a substitute, they considered it as a studying expertise that gave the hospital information about what it must do sooner or later to assist expertise initiatives produce desired outcomes.

“Typically failure is the proof it is advisable to show what’s required to succeed,” Lambert defined.

Image: Mykyta Dolmatov, Getty Photos