Articles about healthcare

Inconsistent adoption of DMARC standards is leaving 60 percent of US healthcare organizations that have already reported breaches exposed to a second attack.

The study from Red Sift looks at breaches reported to the US Department of Health and Human Services (HHS) during 2023-2024 shows that of 101 companies analyzed, 61 percent remain unprotected, with 33 having no DMARC policy and 28 lacking any data on DMARC.

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The life sciences and healthcare industries have critical challenges to overcome in 2025. Costs in both are on the rise, forcing business leaders to seek out more efficient methods for developing and delivering new products and services. Additionally, consumer expectations are higher than ever, with patients and other clients looking for features that maximize convenience and accessibility.

To help with these challenges, industry leaders should consider the potential of artificial intelligence. AI has been transforming the business world by providing the power to automate, analyze, and increase efficiency in unprecedented ways. For life sciences and healthcare, AI provides the capability to gather and analyze data in a way that drives better outcomes and delivers better consumer experiences.

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A new report from Abnormal Security reveals a rise in targeted email compromise attacks on the healthcare sector.

Vendor email compromise (VEC) attacks on the sector have consistently trended upward, recording a 60 percent increase between August 2023 and August 2024. The sector's reliance on long-term vendor relationships is being exploited through VEC, where cybercriminals impersonate trusted vendors to bypass traditional email security and trick employees.

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Ransomware attacks target industries across the board, but they're of particular concern in the healthcare sector where an attack can mean not only data is at risk but lives too.

We spoke with Amitabh Sinha, chief strategy officer and co-founder of Workspot, to discuss the productivity and patient care aspects of these attacks as well as how modern ransomware recovery strategies can help to ensure mission-critical operations can continue, even during an attack.

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Data Science Handbook offers a hands-on experience on various algorithms and popular techniques used in real-time in data science to all researchers working in various domains.

Data Science is one of the leading research-driven areas in the modern era. It is having a critical role in healthcare, engineering, education, mechatronics, and medical robotics. Building models and working with data is not value-neutral. We choose the problems with which we work, make assumptions in these models, and decide on metrics and algorithms for the problems. The data scientist identifies the problem which can be solved with data and expert tools of modeling and coding.

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The World Health Organization (The WHO) hosted a webinar on the 18 July to discuss the critical importance of cybersecurity in the healthcare sector, highlighting the severity of the situation the industry is currently facing. Healthcare organizations are increasingly relying on digital systems to facilitate their daily workflow, but the prevalence of outdated legacy technology in the sector is rendering it vulnerable to cyber-attacks with severe consequences.  

As has been demonstrated with recent high-profile attacks on healthcare organizations, such as the US’ Ascension and Change Healthcare incidents, and the UK’s NHS attack, the healthcare industry must review its priorities, the threats it faces, and its security measures, without delay. 

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The global MedTech software market is projected to reach $598.90Bn by 2024 growing 5.3 percent annually due to increased R&D investments. As the market shifts towards tech-first patient care, MedTech software must meet quality and regulatory standards to ensure effective care and patient safety, making Quality Assurance (QA) critical throughout the Software Development Life Cycle (SDLC). QA ensures reliability, functionality, and adherence to industry standards with MedTech companies dedicating 31 percent of their software budget to QA and testing.

Artificial Intelligence (AI) tools have enhanced healthcare QA efficiency -- GenAI is notably reducing manual testing, improving software usability, and enhancing code quality. AI adoption is expected to make software testing more autonomous, boosting QA productivity by nearly 20 percent, with GenAI tools projected to write 70 percent of software tests by 2028.

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Researchers at secure browser company Menlo Security have uncovered three new nation-state campaigns employing highly evasive and adaptive threat (HEAT) attack techniques.

In a 90-day period, the campaigns -- LegalQloud, Eqooqp, and Boomer -- compromised at least 40,000 high-value users, including C-suite executives from major banking institutions, financial powerhouses, insurance giants, legal firms, government agencies, and healthcare providers.

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In the healthcare industry, surgical capacity management is one of the biggest issues organizations face. Hospitals and surgery centers must be efficient in handling their resources. The margins are too small for waste, and there are too many patients in need of care. Data, particularly real-time data, is an essential asset. But it is only useful if the pieces fit together, solving a puzzle of coordinating schedules, operating room availability, and resource allocation, while ensuring immediate access to patient data for perioperative teams.

Data management demands are significant, complex, and dynamic. Because each patient is unique, anything can happen in an operating room (OR) at any moment. As such, real-time data capture is crucial for surgical workflows. When surgical teams have all the information they need in real time, they can make rapid decisions that not only maximize OR utilization and minimize delays but also enhance overall patient care and safety.

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Technologies like AI are set to impact on many industries but perhaps more than most on healthcare. This is also an industry that's uniquely attractive to hackers thanks to the mix of personal and scientific information that it holds.

So how will healthcare benefit -- or suffer -- from technology in 2024? here's what some experts with their fingers on the pulse think.

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The healthcare sector is particularly attractive to cybercriminals due to the amount of personal data held and the critical nature of many systems.

We spoke to Shankar Somasundaram, CEO of IoT risk management platform Asimily, to discuss healthcare systems and the challenges involved in securing them.

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A new report finds that IoT success is being jeopardized with just one percent of respondents achieving better than 98 percent connectivity levels on average across their devices.

The study, by connectivity solutions specialist Eseye, shows that only 16 percent of respondents are achieving more than 95 percent connectivity. Mission-critical IoT devices -- medical equipment for example -- require near-100 percent connectivity and the fact that companies are prepared to accept poor performance is concerning.

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A new survey from Claroty of 1,100 cybersecurity, engineering, IT, and networking professionals from healthcare organizations finds 78 percent of respondents experienced a minimum of one cybersecurity incident over the last year.

Perhaps more concerning is that 60 percent of those incidents had a moderate or substantial impact on patient care and 15 percent had a serious impact that compromised patient health and/or safety.

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Despite an overall decline in the number of healthcare data breaches, the first half of this year has seen a record number of individuals have their information exposed.

The latest Healthcare Data Cyber Breach Report from security-as-a-service provider Critical Insight shows individual records compromised in data breaches increased by 31 percent in the first half of 2023 compared to the second half of 2022.

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Data is one of the biggest drivers of innovation in healthcare today. Almost everything in healthcare relies on having access to the right data from developing new drugs and medical equipment to allocating resources.

Making use of this data often requires sharing with other organizations and that presents challenges when it comes to keeping it secure. We spoke to Riddhiman Das, co-founder and CEO at TripleBlind, to learn how healthcare organizations are securing their data while still making it accessible.

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