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Nursing Assistants + Digital Assistants: How one Hospital is Saving $500,000 Annually


Have you ever checked your pulse or oxygen levels with a watch?

It’s common these days, but decades before the Apple Watch or FitBit had these features there was the storied pulse oximeter (pulse ox).

A pulse ox is a small plastic device that sits on the tip of your fingertip, calculating the oxygen saturation of your blood and pulse rate by using light beams.

Created in the 1970’s, it’s still a critical component of care in both hospital and at-home settings. And the “monitors of the monitors” (nursing assistants who check patient pulse ox levels) are vital to healthcare outcomes.

In the Virtual Response Center of a large hospital on the east coast of the United States, nursing assistants monitor pulse oximeters for dozens of patients at any given time. These highly trained staff keep watch for any red notifications (see image below) in their monitoring system, Masimo, constantly having to click onscreen arrows back and forth because only 20 results can be seen at once.

When a pulse ox reading falls below 85, the nursing assistant alerts the doctor on call.

masimo screenshot healthcare rpa example

But what if we could predict those pulse ox alerts before there’s an emergency? What if a set of business rules trained from decades of practitioner experience could suggest a proactive “next best action” when a troubling pulse ox pattern is uncovered?

That’s just what we have built for our hospital client.

Read on to explore:

Nursing assistants + digital assistants = excellence

In a day with far too many clicks, countless alerts from all manner of machine, and endless context switching, it’s understandably easy for notification fatigue to arise among nursing assistants.

It can be difficult to stay abreast of just the current state of notifications, let alone model out the future.

That’s where RPA is helping, literally every minute.

Every sixty seconds automations from UiPath:

Nursing assistants’ digital assistants (say that ten times fast) can help improve patient outcomes by providing trending data throughout the day.

$500,000 in value

Today this hospital doesn’t have the bandwidth to monitor trending data every minute. And even if they did, someone would likely be very bored. Toiling over a complex set of business rules to predict a drop in pulse ox isn’t the high-value, more strategic and personable work that nursing assistants typically enjoy.

By uniting nursing assistants with digital assistants, the hospital expects to see:

  1. Better health outcomes for patients

  2. Lower turnover among nurses

  3. Reduced time of patient stay and readmission rates

  4. $500,000 in value created

  5. Ability to scale the patient monitoring program while leveraging nurses to make clinical decisions as opposed to reviewing patient monitoring systems

35-40% faster than custom development

UiPath Apps was integral to developing this solution for nursing assistants. In a matter of weeks, we built a friendly user experience (UX) layer for nurses. The app appears like any other website or application, but behind the scenes automations are fetching and posting information.

uipath apps masimo example healthcare automationhealthcare automation uipath apps masimo example

By building the solution in UiPath Apps we were able to finish the project 35-40% faster than if we had used a typical custom development approach. Because solutions made in UiPath Apps are inherently part of the RPA ecosystem, it was a breeze to visualize the output of automations as a single pane of glass. Apps gave us a consolidated single package of user interface (UI) and Robot. Building a custom web app would have required creating connections between it and our automations from scratch. Apps saved us from this work.

And because UiPath Apps is such a low-code, drag-and-drop-friendly tool, we could quickly show our client various takes on a UI. They literally could tell us what they wanted their software interface to look like, a choice few medical practitioners have. Since the streamlined approach was taken with the UI, the development team and clinical subject matter experts (SMEs) could focus on nuances of the complex business rules and detailed test cases instead.

Most of all, this solution showcased how powerful the union of APIs and UI can be. Masimo doesn’t offer any APIs for this use case, but we were still able to source the data needed to predict when patients are trending towards a dangerous pulse ox level.

RPA enables your “next best action”

Extending our clients’ capabilities through RPA has given us a vision for how automation should fit in every hospital’s software stack.

Gaps between desired health outcomes and one’s current software capabilities occur for any number of reasons:

These gaps exist no matter how modern your suites of software.

RPA fills in the gaps of your enterprise applications. As we talk with industry professionals, a common refrain is how one’s current software stack gets in the way of strategic goals.

The conversation quickly evolves when we introduce automation. We go from complaints about their system limitations to how automating one’s current stack drives strategic goals, and ultimately, health outcomes.

This is seen no clearer than in the industry’s move towards providing “next best actions” to medical staff. The question is often how can we use data and business rules to automate the series of actions that we know will lead to better outcomes.

Practically, for the pulse ox app this would mean triggering a series of actions after the robot alerts a nursing assistant to a pulse ox trend:

The possibilities for our digital assistants to augment human capabilities are seemingly endless.

We’ll share an update on this app with you at UiPath FORWARD IV in the “how to” track.

Look forward to seeing you there!

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