Summary: CleveMed has launched a software upgrade for its SleepView platform, enabling users to generate custom data analytics reports that offer enhanced insights into clinical and operational efficiency. The cloud-based module, developed in response to customer feedback, allows providers to easily analyze large datasets from sleep studies, facilitating improvements in home sleep testing operations and patient care.
Key Takeaways:
- Custom Data Analytics Reports: The new SleepView software upgrade allows users to quickly generate custom reports, providing insights into clinical and operational efficiency.
- Cloud-Based Module: The upgrade includes a cloud-based module that centralizes sleep study data, enabling providers to research and analyze large datasets for clinical and operational improvements.
- Enhanced Home Sleep Testing: The data analytics capabilities offer significant insights into home sleep testing operations, allowing users to query entire patient populations for outcomes related to efficiency and medical results.
CleveMed announced a software upgrade for SleepView that allows customers to quickly generate their own data analytics reports.
Based on feedback from customers, CleveMed’s software engineering team created a cloud-based module in the SleepView portal that creates detailed operations and population health data summaries. With a centralized repository of sleep studies, providers can readily research large datasets for clinical and operation improvements.
”Whether you dispense SleepView monitors from your clinic or mail to your patients’ homes directly, our data analytics software provides significant insight into your home sleep testing operations. You can query your entire patient population for clinical and operational efficiency outcomes,” says Mary Gelhausen, regional sales manager.
Paris Lahham, SleepView Direct customer and communications manager, adds, “As an example, our own SleepView Direct program, which handles thousands of direct ship sleep studies for many health systems nationwide every month, regularly queries the database for study success rates, failed rates including failure reasons, package transit times, number of studies in transit/scoring/interpretation stages, unresponsive patients, and many others. Searching the database for clinical results is also easy like sorting disease severity and medical comorbidities by patient demographics, which can quickly summarize medical outcomes to providers.”
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