Healthcare is facing a crisis of clinician burnout that impacts all stakeholders. In addition to the frustration it causes clinicians, patient care suffers as well; no doctor can care for patients effectively when fighting their own battle against burnout. Burnout also leads to clinicians leaving practice, exacerbating an already problematic shortage of nurses and physicians nationally. This labor shortage has drastically driven up expenditures for health systems, contributing to rising healthcare costs that already represent roughly 20% of the US’s GDP, a cost ultimately borne by all taxpayers in America.
Burnout is multifactorial and stems largely from pressure on clinicians to focus their attention on mounting administrative tasks instead of patient care, among many other factors.
What is clear is that dissatisfaction with EHRs is a major contributor to burnout, and a lack of EHR usability contributes to widespread inefficiencies that burden clinicians with extra clicks, excessive time in the chart, and inadequate access to the data clinicians need to make proper treatment decisions for patients.
Excitingly, new technologies like the Smart EHR UI can radically improve EHR usability and relieve clinicians from burdens they face with EHRs failing to support their workflows and substantially enhance clinician productivity and experience.
Wellsheet, the leading Smart EHR UI technology, synthesizes, summarizes and elevates relevant clinical data from the EHR and other clinical data sources, creating a contextualized view of the patient record. This is especially important in primary care where clinicians need to see the underlying and comorbidity conditions that exist such as between PTSD patients with depression and anxiety. Wellsheet is transforming how providers access patient information in clinics and improving patient care at the same time, as can be seen in the following video:
Further, by integrating via FHIR standards, Wellsheet is fully interoperable with any API-enabled EHR or data source. This creates the meaningful opportunity to ease the transition from one EHR to another; by enabling a similar experience across a legacy and new EHR implementation, an integrated Smart EHR UI can create an immediate glidepath for clinicians to make a transition that would otherwise require much difficulty and oftentimes a loss in productivity. A modern, API-integrated architecture also allows Wellsheet to aggregate data across multiple sources, not limited to EHR systems, including enterprise data warehouses, external healthcare organizations and patient generated data.
Wellsheet’s capabilities have delivered outstanding improvements for health systems that range from some of the largest in the country to small clinics, including:
- Reducing time in EHR by 40%
- Reducing chart review time by 50%
- 94% recommend for chart review
- Improving EHR satisfaction from ~3 points to ~4.5 points on a 5 point likert scale
Wellsheet’s summarization capabilities have been well-tested and proven effective for years, and are now being supercharged with LLMs in ways that substantially advance the value they provide. For example, Wellsheet can now summarize documents from across a patient’s medical history to find the most relevant data points that are embedded in free text notes, practically eliminating what would otherwise require many minutes of manual effort per patient.
Clinical Calculators Including Risk Stratification
Intelligent Data Visualizations
Wellsheet works on laptops, tablets and smartphones including the new iPhone 16 which supports ChatGPT and other healthcare-focused applications. Wellsheet’s architecture enables integration with new data sources and cross-platform device support as new AI capabilities are integrated.
Each of these features comes together to deliver a proven, more intuitive and intelligent health platform that helps remove the frustrations and inefficiencies with EHR systems that contribute to clinician burnout and take away from patient care. Learn more about Wellsheet's Inpatient Workflows and Outpatient Workflows.
