Wellsheet is excited to announce the availability of new Large Language Model (LLM)-driven features to supercharge clinical workflows and increase care team productivity. Wellsheet maximizes AI’s value for healthcare while minimizing the risks. Gartner coined the term Smart EHR UI, detailed why it’s critical to health systems and highlighted Wellsheet as a key offering.
Voice is great, but where’s the interface?
A massive amount of investment is going into AI scribes. These are powerful technologies for documentation in clinic, but physicians spend more time on average in chart review than they do on documentation. And for good reason - reviewing the chart and relevant guidelines is what allows the doctor to make treatment decisions. The foundation of being an effective “co-pilot” for a doctor, is a well-designed user interface (UI) that surfaces the right information in the right context, or as we say at Wellsheet “everything a clinician needs on one sheet.”
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The best LLM you could conceive of cannot replace this foundation, but it can certainly augment it, which is exactly what we at Wellsheet are doing; we are taking the leading Smart EHR UI solution on the market and supercharging it with LLM-driven workflows that bring unprecedented efficiencies to clinicians and simultaneously increase patient throughput.
Google Health spent 10+ years working on their competing Smart EHR UI, called Care Studio, and Wellsheet outperformed them at one of their largest clients by a vast margin. Now Wellsheet is being rolled out nationally across that system in a multi-year enterprise deal and going live across dozens of hospitals in this quarter alone. These tools are not easy to build or get right for users, and Wellsheet is years ahead and already proven at enterprise scale with 94% of physicians recommending Wellsheet for chart review, producing millions of dollars in ROI annually per hospital.
GenAI is game-changing for Chart Summarization, but context is required to maximize utility and minimize risk
Wellsheet is also announcing the introduction of new LLM-driven features to supercharge the workflows of tens of thousands of clinician users, radically improving their productivity and experience accessing patient data. Because Wellsheet has all the patient data, there is full referenceability to the source data, which is critical to engender trust with clinicians adopting AI. Wellsheet’s CTO, John Paul Patrizio, presented Wellsheet’s AI strategy on the main stage at HIMSS24.
One of the first use cases for Wellsheet’s LLM-driven capabilities is the ability to auto-generate handoff notes as shown here.
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Multi-disciplinary handoff has been shown in many studies to improve care outcomes, but it requires additional effort and coordination across care teams. Utilizing an LLM to prepopulate handoff notes makes it that much easier for care teams to adopt this tool, saving time for the clinicians and improving outcomes for patients. Many more use cases are also being rapidly implemented, leveraging LLMs to summarize various clinical conditions and extract key information for documents.
Cash strapped health systems need technology that will improve the clinician experience and deliver ROI
AI scribes provide significant value and are highly complementary to Smart EHR UI solutions, but they have little ability to impact health system financials, especially in hospital settings. Wellsheet’s AI-driven workflows are designed to serve both the end user and the health system in its financial objectives.
Wellsheet’s Smart EHR UI leverages AI to standardize clinical workflows for care team collaboration and handoff, to predict the information clinicians need to quickly and effectively advance to the next step in care, and to expedite discharge planning and barrier identification. By applying AI at the point of these inpatient workflow bottlenecks, Wellsheet significantly impacts patient throughput, length of stay, and the quality of care for patients.
Wellsheet assembles the most important clinical content from an EHR and other sources into a single view needed to quickly make the right treatment decision. These intelligent clinical views and workflows are also highly valuable in the outpatient setting. Health systems are deploying Wellsheet at enterprise scale and experiencing rapid ROI realization and substantial improvements in clinical workflows, patient care and throughput when deployed as part of a comprehensive clinical productivity and experience optimization program.
Faster deployment, diagnosis and discharge
Wellsheet clients now have access to LLM-generated handoff summaries, eliminating manual and redundant documentation typically required of doctors and nurses. Our Smart EHR UI uses LLMs to summarize data enabling clinicians to interact directly within Wellsheet’s Clinical Views, juxtaposing patient data with the most relevant Clinical Calculators and treatment guidelines. Its AI-powered discharge planning workflows automate processes across multidisciplinary care teams reducing length of stay. By applying AI at each point of inpatient workflow bottlenecks, Wellsheet has had a dramatic impact on patient throughput and ROI.
Wellsheet is EHR-agnostic so clinicians can have a consistent user experience across multiple EHRs or when transitioning from one EHR to another, substantially reducing productivity losses associated with migration. And Wellsheet can surface critical healthcare data in real time from sources other than EHRs, including Clinical Decision Support content and Patient Data Exchanges.
AI is too powerful to not be used in clinician decision-making, but too risky to be used without sufficient context. Wellsheet is uniquely positioned to safely integrate AI into clinical workflows that improve patient care, not just documentation for billing. We are thrilled to be helping pave the way towards the future of care where clinicians are empowered by AI to deliver the best care possible to patients.
