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Clinical Quality Copilot for Nursing Workflows

Read.

Knowledge Acquisition

Synthesize responses based on information from internal policies and patient data.

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Write.

Patient Documentation

Ensure complete and accurate flowsheet documentation that is compliant with internal rules.

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Say Hello to Florence, the AI Nurse Assistant

Florence adds a layer of artificial intelligence to every knowledge retrieval or patient documentation related task, helping reduce incomplete, noncompliant care and improve quality outcomes.

Tabbed Workflow Layout
1
Ask Question
The nurse can ask a question about care procedures in natural language, using the necessary clinical terminology.
2
Synthesize Answer
Florence will review the question to form an answer based on organizational policies, clinical guidelines, available supplies, and the patient's records. Florence may ask follow-up questions from the nurse if additional information is needed.
3
Review Evidence
Florence will respond to the nurse's question with an evidence-based response. The nurse can review the specific sources used to generate this response and ask follow-up questions.
1
Listen and Observe
Nurse can speak about a patient, speak with a patient, or submit images to describe a patient’s condition. Florence will parse through this information, taking into account the medical slang, language barriers, accents, lighting conditions, and the presence of multiple parties.
2
Guide
Florence will attempt to complete patient flowsheet documentation based on the provided information. If key information is missing, Florence will prompt the nurse to provide it to ensure that Florence generates documentation that is complete and compliant.
3
Review
Florence will present the documentation to the nurse for final review. Once the documentation is reviewed, it can be submitted directly to the EHR.

Meru is available directly in your EHR, and is HIPPA and SOC 2 Compliant

Brought to You By Nurses Everywhere.

Meru has been built by working closely with nurses from institutions all over the country, including places like the University of Kansas Health System, Children's Hospital of Atlanta, and Columbia University. Nurses have helped us label hundreds of thousands of data points to ensure only the highest quality accuracy.
"I am so excited, I cannot adequately describe how excited I am about the possibility of ambient AI and improving nursing documentation burden. Essentially, what you guys are working on could potentially almost completely eliminate the time that a nurse spends in documentation. And what that means — what we know — is that the time that a nurse spends in documentation is inversely proportional to the time that the nurse has available for patient care… So the AI tools, I really feel like — and working with you all — the sky is the limit for this."

- Clinical Care Nurse Specialist
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Join Us

Nurses, engineers, and nurse engineers.

We're hiring nurses, engineers, and everyone in between to help build and scale Meru. Your most important job at Meru will be to listen to and observe nurses in action on the hospital floor. If this sounds interesting, please reach out. We work in person out of our office in San Francisco, CA.

If you are a nurse, you can join our data labeling team part-time, and contribute your expertise to our suite of artificial intelligence models.