Bells – Assisted Documentation

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Bells – Assisted Documentation

Remarkable Health, LLC.

AppRecs review analysis

AppRecs rating 5.0. Trustworthiness 0 out of 100. Review manipulation risk 0 out of 100. Based on a review sample analyzed.

★★★★★

5.0

AppRecs Rating

Ratings breakdown

5 star

100%

4 star

0%

3 star

0%

2 star

0%

1 star

0%

What to know

High user satisfaction

100% of sampled ratings are 5 stars

About Bells – Assisted Documentation

AI-assisted features allow the service provider more time to focus on their client, whether in the community or in the office. Data capture in Bells seamlessly and automatically syncs to the clients' chart in the EHR. This creates a very efficient information flow and provides the agency with a holistic, up-to-the-moment view of the client.

Our AI engine is trained with clinically relevant language and phrases from behavioral health and human service care paradigms. This enables Bells to review, flag and recommend changes that will optimize the note's overall quality based on the program and type of care. The result is significant savings of time and effort for internal QA teams, a reduction in the time it takes to submit a progress note for reimbursement, and an overall improvement in your audit results.

Bells assists with grammar, spelling, key phrase preferences, ensuring the documentation is for the intended client. Data capture in Bells provides users with reminders of upcoming and past due client focused events, and even offers shorthand efficiencies in the progress note and within Scribbles via Bells Commands. Scribbles is the fastest way to jot something down, attach it to a client or progress note, or simply leave it as an unassigned scribble for future reference. Bells is accessible via a mobile application designed specifically for use in the community or via a desktop experience offering flexibility for service providers.

Bells gives the service provider a unique tool to help them enhance their documentation in an efficient and effective manner based on the agency's preferences.
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