Learn More About Pulse
‘Big Data’ may be defined as data that is so large or complex that it cannot be processed by the usual applications. Current common uses of Big Data in healthcare include the collection of genomic data, insurance claims data, medication prescription data, mandated hospital reporting data (admissions, diagnoses, readmissions, other)...
Hospitals and Providers
Pulse offers role-based, HIPAA compliant service support that is EMR agnostic. Our system has easy to follow analysis and dashboard views with workflows that support care path development, bundled support, quality improvement, variability control, Meaningful Use certification, outcome demonstration and customer branding. The system teams within and across specialties and facilities, including faster acceptance of best practice and change as well as real-time access
Pulse Infoframe offers users deep controlled data sets with workflows driven to isolate value, third party, improved patient and physician engagement, QoS and economic with clinical data, cheaper SaaS support, strong real-life functionality and mobile/ePro features. The system even assists in identifying patients for clinical trials
Pulse Infoframe’s third party system will integrate across clinical, economic and support data and systems for improved member engagement, real-time information, patient stratification for risk and premium analysis as well as bundled payment transition support
In addition to having employee insurance cost management with carve outs and narrow network support, Pulse offers an efficient way to improve employee engagement and satisfaction while lowering costs. The system increases outcomes, engagement and employee satisfaction while negotiating with insurers and providers to lower costs.