Glassbeam Secures HIPAA Compliance, Integrates Solution with DICOM Data, Expands Analytics to Include Biomedical Equipment
SANTA CLARA, Calif. – September 26, 2018 – Glassbeam, Inc., the premier machine data analytics company, announced today an expansion of its Clinical Engineering Analytics (CLEAN™) offerings to become the only AI analytics solution to combine machine logs with DICOM data. The company also announced its solution now includes biomedical equipment as well as imaging systems. Glassbeam enables healthcare provider teams to manage entire fleets of medical equipment in a single view.
The company has completed a third party assessment to verify Glassbeam’s compliance with the HIPAA Privacy, Security, and Breach Notification Rules and ongoing commitment to protect individually identifiable health information collected by its advanced data analytics solution. HIPAA, the Health Insurance Portability and Accountability Act of 1996, applies to healthcare providers, insurers, hospitals, and any company with access to patients’ protected health information (PHI) – including Glassbeam, which provides advanced data analytics services to healthcare organizations.
Connected medical devices transmit errors, warnings, and invaluable utilization data that when translated, provide healthcare organizations a clear picture of equipment performance, usage, and overall operational effectiveness. The challenge is that this data comes from different data sources with multiple formats, such as machine logs and DICOM headers when images are transmitted to PACS servers. Users of Glassbeam’s machine data analytics solution can now uncover deep insights by assimilating all of these data sources into one platform to dramatically improve uptime and maximize revenue of medical equipment while safeguarding patients’ PHI.
The expansion of Glassbeam’s data analytics to include biomedical devices, such as GE CARESCAPE patient monitors and Medfusion Syringe Pumps, has been another breakthrough in its cloud-based analytics offerings. Large hospitals and Integrated Delivery Networks (IDNs) have hundreds to thousands of biomedical devices in their facilities. It can be a challenge to track the actual utilization of devices and preventative maintenance schedules involve costly labor.
“Our vision at Glassbeam has from day one been to be a pioneer in providing a single pane of glass for multi-vendor, multi-modality analytics for healthcare provider market,” said Puneet Pandit, CEO and co-founder of Glassbeam. “Not only can Glassbeam now offer an expanded view into the performance of entire fleets of medical equipment, whether imaging or biomedical devices, but we can now offer complete confidence that if patient data is pulled into Glassbeam Cloud, it will be highly secure.”
Online Business Systems provided Glassbeam’s assessment of HIPAA Compliance, following the comprehensive rules and regulations laid out by the U.S. Department of Health and Human Services (HHS), the government body responsible for regulating and enforcing HIPAA.
“Protection of patient information is our number one priority in the healthcare industry,” said Steve Levinson, Vice President of Risk, Security and Privacy at Online Business Systems. “We are proud to see that Glassbeam is taking the protection of that data so seriously. We are confident that as the solution integrates with new data sources, all patient data will remain secure to the highest standards.”
Helpful link: The Impact of Machine Data Analytics, Artificial Intelligence and Machine Learning on Healthcare Technology
Glassbeam will be exhibiting at the MD Expo show in Seattle on Oct. 5-7. Stop by booth #715 for a demo or schedule a meeting to discuss how Glassbeam can maximize equipment utilization, performance, and revenues.
Glassbeam is the premier machine data analytics company bringing structure and meaning to complex data generated from any connected machine in the Industrial IoT industry with a strong focus on medical and data center equipment. Funded by several ultra-high net worth investors, Glassbeam’s next generation cloud-based platform is designed to transform, analyze, and build Artificial Intelligence applications from multi-structured logs, delivering powerful solutions on customer support and product intelligence for companies such as IBM, Dell EMC, PTC, Novant Health, UCSF Health, and Dimension Data.