Vendor Notebook: Akamai provides a blueprint for software segmentation, Premier adds genAI documentation
Technology providers this week announced a number of new tools and insights to help hospitals and healthcare systems meet the stringent data protection requirements of cybersecurity while leveraging that data to deliver better patient care.
Akamai: Accelerate microsegmentation
A new Akamai report on overcoming implementation hurdles in segmentation provides healthcare organizations with a blueprint for a zero-trust architecture that can thwart debilitating cyberattacks.
Healthcare and e-commerce organizations are at the highest risk of suffering financial losses after a cyberattack – 43% and 42% respectively – according to a Global State of Segmentation report Akamai released on Tuesday.
The company surveyed healthcare and life sciences organizations in the United States, Latin America, Europe, the Middle East, Africa and Asia Pacific. This showed that they overwhelmingly agree on the effectiveness of segmentation in protecting assets.
In the reportAkamai shared lessons and key insights that he believes can help solve micro-segmentation challenges and overcome implementation barriers to protect critical healthcare and life sciences systems.
“Within the healthcare sector, the percentage of organizations with segmented mission-critical applications/data increased by 20% and segmented servers by 18% between 2021 and 2023,” the Akamai researchers said.
“It is highly likely that in healthcare an office worker/user has been the reason/source of an attacker gaining network access (47%, compared to 26% overall), and this is more than double other such compliance-critical matters. sectors such as financial services and energy (both 19%),” they said.
Key vulnerabilities require segmentation speed to increase, especially in healthcare, as cyber attacks can be minimized.
“Like a submarine, breaching one compartment does not endanger the entire boat because you can limit flooding by closing the bulkheads,” said Richard Meeus, director of security technology and strategy for EMEA at Akamai, in announcing the report . .
“Unfortunately, suffering a cyber attack is a matter of when, not if, so making everything watertight is much better than sinking to the depths.”
Suki: Premier adds AI documentation
Meanwhile, Premier has added artificial intelligence writer Suki to its network of hospitals and healthcare providers.
Suki announced Tuesday that Premier, a digital healthcare alliance with 4,350 U.S. hospitals and 300,000 other providers, will expand the company’s genAI ambient listening and documentation tool to support healthcare providers at the point of care.
Suki automatically generates clinical notes after patient-physician conversations and manages other tasks such as ICD-10 and HCC coding.
Integrated into electronic health records – Epic, Cerner, Meditech and Athena – the tool syncs clinical documentation in real time, allowing physicians to pre-create a chart in the EHR and complete the note with Suki, or pull data from the EHR into the Writer , the company said.
Premier, which works with partnerships, supply chain solutions, consulting and other services, uses AI, including natural language processing and machine learning, to diversify data, work with unstructured data, analyze imaging and more.
“It was important for us to figure out how we could work with our healthcare systems and health plans to identify eligible patients along with the appropriate clinical indications to authorize the procedure in real time,” said Angela Lanning, Chief Operating Officer. within Premier’s healthcare informatics division, said during a virtual congressional briefing the company held in 2023.
OM1: CDS predicts treatment outcomes
OM1 this week launched a new clinical decision-making tool that uses phenotyping models to help close gaps in patient care and precision medicine.
The new platform, called Lyra, uses artificial intelligence to explore data and provide clinical insights that guide healthcare providers and patients in choosing the most effective treatment options, the company said in an announcement Monday.
By generating and stratifying predictions around diagnosis, treatment and risk, healthcare providers can use the AI-driven platform to offer patients personalized medicine at the point of care, the company says.
Relevant and actionable insights are gathered by translating population-level patterns to the patient through disease- and treatment-specific phenotypes.
The technology can identify patients to reveal hidden characteristics and predict outcomes, said Joseph Zabinski, vice president and head of commercial strategy and AI at OM1.
“There is a huge untapped opportunity to synthesize data sources to better understand patient journeys and treatment decisions, which we have learned to address with our digital phenotyping technology,” he said in a statement.
These population-level predictive insights can help improve treatment effectiveness and deliver better care, said Shawn Bates, Chief Commercial Officer at OM1.
“Our leadership in this area aims to strengthen the relationship between a patient and their healthcare provider while improving the standard of care,” he said.
Andrea Fox is editor-in-chief of Healthcare IT News.
Email: afox@himss.org
Healthcare IT News is a HIMSS Media publication.