Vendor notebook: Akamai provides software segment blueprints, Premier adds genAI documentation
This week, technology vendors announced a number of new tools and insights to help hospitals and health systems meet the stringent data protection demands of cybersecurity, while bringing put that data into action for better patient care.
Akamai: Speed up micro-segmentation
A new Akamai report on overcoming deployment obstacles in the segment offers healthcare organizations a blueprint for a zero-trust architecture that can prevent cyberattacks cause weakness.
Healthcare and e-commerce organizations are the most likely to suffer financial loss after a cybersecurity attack – 43% and 42%, respectively – according to the State of the Global Segment report. Akamai announced Tuesday.
The company surveyed healthcare and life sciences organizations across the United States, Latin America, Europe, the Middle East, Africa and Asia Pacific, finding that they overwhelmingly agreed on the effectiveness of segmentation in asset protection.
In the report, Akamai shared key takeaways and learnings that they say can help address micro-segmentation challenges and overcome implementation hurdles to protect scientific systems life and health care matter.
“In healthcare, the proportion of organizations with segmented business-critical applications/data has increased by 20%, and segmented servers have increase 18% from 2021 to 2023″.
“The healthcare industry is most likely to have had an employee/user in the office as the reason/source for an attacker gaining network access (47%, compared to 26% overall) and this number is high more than double that of other key compliance requirements.” industries such as financial services and energy (both 19%),” they said.
Key vulnerabilities mean the pace of segmentation must accelerate, especially in the healthcare sector as cyber-attacks can be mitigated.
“Like a submarine, if one compartment is breached, it does not endanger the entire vessel,” Richard Meeus, director of security technology and strategy, EMEA, at Akamai, said in the release. because you can limit flooding by closing the bulkheads.” .
“Unfortunately, getting hacked is a matter of when, not if, so preventing things is much better than going into the deep end.”
Suki: Premier adds AI material
Meanwhile, Premier has added artificial intelligence scribe Suki to its hospital and provider network.
Suki announced Tuesday that Premier, a digital health alliance with 4,350 U.S. hospitals and 300,000 other providers, will expand the company’s genAI ambient listening and transcription tool to empower healthcare providers at the point of care.
Suki automatically generates clinical notes following patient-physician conversations and manages other tasks, like ICD-10 and HCC coding.
Integrated into electronic health records – Epic, Cerner, Meditech and Athena – this tool synchronizes clinical documentation in real time, allowing clinicians to chart in advance in the EHR and complete take notes with Suki or pull data from the EHR into the note taker, the company said.
Premier, which works with partnering agencies, supply chain solutions, consulting and other services, is leveraging AI, including natural language processing and machine learning, to diversify data, make Working with unstructured data, image analysis, etc
“It was important for us to figure out how we could work with our health system and health plan to identify eligible patients,” said Angela Lanning, chief executive officer. along with appropriate clinical indications to enable the procedure to be performed in real time.” in Premier’s healthcare informatics division, said during a virtual congressional briefing the company hosted in 2023.
OM1: CDS predicts treatment outcome
This week OM1 launched a new clinical decision support tool that leverages phenotypic models to help close the gap in patient care and precision medicine.
The new platform, called Lyra, uses artificial intelligence to examine data and provide clinical insights to guide providers and patients in choosing the most effective, equitable treatment options. company said in a statement Monday.
By creating and stratifying predictions around diagnosis, treatment and risk, providers can use the AI-driven platform to provide patients with personalized medicine, the company said. chemistry at the point of care.
Relevant and actionable insights are gleaned by translating population-level models to patients across disease- and treatment-specific phenotypes.
According to Joseph Zabinski, vice president and head of commercial strategy and AI at OM1, the technology can identify patients to reveal hidden characteristics and predict outcomes.
“There is a huge untapped opportunity to aggregate data sources to better understand the patient journey and treatment decisions we have learned to address,” he said in a statement. with our digital phenotyping technology.”
These population-level predictive insights can help improve treatment effectiveness and deliver better care,” said Shawn Bates, chief commercial officer of OM1.
“Our leadership in this area is aimed at strengthening the relationship between patients and their providers while improving the standard of care,” he said.
Andrea Fox is a senior editor at Healthcare IT News.
Email: [email protected]
Healthcare IT News is a publication of HIMSS Media.
