Ambience Healthcare, an industry leader in AI-powered clinical solutions, has recently unveiled its latest offering called “Chart Chat for Nursing.” In partnership with the nurses themselves, along with the administrators of the healthcare systems, this solution is specifically developed to assist nurses in accessing relevant information and making decisions quickly during their work.
Following its initial success with tools for providers’ documentation and coding, Ambience is now bringing its specialist tech to the main infrastructure of healthcare. This new product of the company has been introduced at Cleveland Clinic and it is being reproduced in various major health networks.
Addressing the “Invisible Work” of Nursing
While staffing shortages dominate headlines, the Ambience Nursing Council—a collective of Chief Nursing Officers (CNOs) and informatics experts—identified “cognitive burden” as a critical, yet often overlooked, barrier to quality care.
In a typical shift, nurses must synthesize a mountain of fragmented data: physician progress notes, diagnostic results, medication orders, and complex flowsheets. This “hunting and gathering” of information is essential for care, yet it creates significant mental overhead. To address this, Ambience Healthcare developed Chart Chat to serve as an intelligent interface between the nurse and the Electronic Health Record (EHR).
Real-Time Guidance and EHR Integration
Chart Chat for Nursing operates directly within existing EHR workflows, allowing clinicians to ask complex questions in plain language. Beyond simple data retrieval, the tool provides context-aware care guidance. It can interpret abnormal lab values in the context of a patient’s historical trends, flag potential drug-to-drug interactions, and explain complex care pathways instantly.
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Ambience Healthcare states that the tool was built on a simple belief: “the best care happens when clinicians can focus on the patient, not the paperwork.”
A “Nurse-in-the-Loop” Safety Architecture
Considering the highly sensitive nature of the inpatient process, Ambience has come up with a three-tier safety protocol:
- Pre-Deployment Testing: Thorough examination of the model’s compliance with clinical criteria.
- Ongoing Validation: Consistent review of the AI model’s output.
- Co-Adaptive Feedback Loop: A “nurse-in-the-loop” approach that includes the feedback of front-line staff on the clinical reasoning of the AI model.
Most importantly, Chart Chat clearly shows the sources of its information. Each answer comes with references, so nurses are just a click away from the exact note, order, or lab result that supported the response. When the AI does not have enough data or when the data is unclear, it is designed to admit that it does not know rather than give a guess.
