Apple recently announced its exciting new Vision Pro headset, and most people agree that it looks amazing. Unfortunately, most people also agree that the $3,499 … The post Meta Quest 2 is $270 renewed if the $499 Quest 3 is too pricey for you appeared first on BGR.

Meta Quest 2 is $270 renewed if the $499 Quest 3 is too pricey for you

The Well-Woman Day will feature complimentary health screenings, educational resources, and giveaways. Insurance enrollment counsellors from the Will County Community Health Center will also be on hand to help on the first day of open enrollment for the Affordable Care Act (ACA) marketplace.

Will County Health Department to host Well-Woman Day November 1st

NEW YORK – Quest Diagnostics said late Monday that it is offering $750 million in aggregated principal amount senior notes. The firm said the notes are due in 2033 with an interest rate of 6.4 percent. The offering is expected to close on Nov. 1 ...

Quest Diagnostics to Offer $750M of Senior Notes

The event will take place from 10 a.m. - 2 p.m. at the Community Room of the Will County Health Department’s main office at 501 Ella Ave., Joliet.

Will County Health Department invites public to women’s health event Nov. 1

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The University’s commitment was driven by preserving health care in Iowa City, which we believe this process has done.” Mercy Hospital and its satellite clinics filed for Chapter 11 bankruptcy ...

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Helping revenue jump 6.6% year-over-year, Labcorp saw its base business (operations outside of Covid-19) increase by double-digits. Here's how Labcorp's Q3 went and what it means for the laboratory and diagnostics company.

Labcorp invests $380 million in acquisitions in Q3 to advance health system strategy

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In this story, Mansion Global highlights 5 luxury properties in the Florida market. These properties are among the most desirable in the area and feature stunning views, upscale locations, elegant living spaces,

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Quest Diagnostics

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For most of the population, cyber-security is not the first item that comes to mind when thinking about healthcare. Malicious hackers, however, target rich sources of data, and healthcare organizations collect and store a plethora of high-value personal, medical and financial information for large portions of the population. The collected data value is also much higher. The black market value of Personal Healthcare Information (PHI) is , in part because, unlike credit information, they cannot usually be modified and thus remain marketable for extended periods. ten times higher than the value of debit or credit card data This makes healthcare organizations prime targets for hackers. The Healthcare Cybersecurity Threat Landscape According to the , over 75% of healthcare organizations experienced a significant security incident between December 2017 and December 2018. 2018 Healthcare Information Management and Security Society (HIMSS) Cybersecurity Survey This trend shows no sign of abating in 2019.  May’s Health Insurance Portability and Accountability (HIPAA) paints a dire picture of the extent of the security breach crisis in Healthcare: Healthcare Data Breach report On average, 2018 saw 29.5 healthcare data breaches reported to the HHS’ Office for Civil Rights each month – a rate of more than one a day. From January 2019 to May 2019, an average of 37.2 breaches have been reported each month. Up until May 31, 2019, 186 healthcare data breaches had been reported to OCR, which is more than half (52%) the number of breaches reported last year. And that data was tabulated before the American Medical Collection Agency (AMCA) breach was revealed -- a massive incident that hit the news in early June, affecting both exposing the data of around 20 million people. LabCorp and Quest Diagnostics and To add insult to injury, the mean breach size for stolen healthcare records rose from 6,908 records in 2017 to 16,605 records in 2018 and is still on the increase. At $408 apiece, the median cost per breached record in the American healthcare industry dwarfs parallel costs in other fields. Hackers benefit from the increased adoption of SaaS solutions and reliance on connected devices, which may improve the efficiency of healthcare organizations but also expand the attack surface for hackers. With the ever expanding need to connect between physicians, labs, health insurance providers, billing services and more, the adoption of electronic health record keeps accelerating, both in hospitals and in private practices. This increases the potential points of entry for hackers who can hitch a ride on a SaaS provider, or leverage a vulnerability in the growing number of connected devices used for record keeping and patient care. As Hackers are generally efficient and look for the easiest path to exploit, this paints a target on the back of healthcare organizations. Aside from a lack of focus in investing into effective cybersecurity measures as opposed to focusing with , healthcare organizations have a larger number of people who come in contact with sensitive information during the course of normal business operations than in other industries. complying with HIPAA standards Typically, the same people are also facing a heavy workload and are focused on patient care rather than on preserving access to data. As a result, Phishing attacks are disturbingly successful and, according to HIMSS, “the top threat actor [leading cyber-attacks]  was the online scam artist involved in activities such as phishing and spear phishing”. Hackers are generally efficient and look for the easiest path to exploit, this paints a target on the back of healthcare organizations. Healthcare organizations face two industry specific issues. When designing cybersecurity measures, they are more focused on complying with HIPAA standards than on actually providing effective protection. As a result, it is only once full compliance is established that the remaining resources, if any, are devoted on creating a secure environment in keeping with the constantly evolving threat landscape. This is further compounded by the structural weakness stemming from the large number of people who come in contact with sensitive information during the course of normal business operations. This number is far larger than in other industries and are typically facing a heavy workload that requires them to devote the lion share of their attention on patient care, leaving little room for thinking about preserving data’s safety. As a result, Phishing attacks are disturbingly successful and, according to HIMSS, “the top threat actor [leading cyber-attacks] was the online scam artist involved in activities such as phishing and spear phishing”. And it only takes one dupe for the hacker to gain a set of employee credentials, and then pivot from there into the central PHI database… The Usual Protection Two Factor Authentication Many healthcare organizations implement two-factor authentication (2FA) to ensure that only authorized parties can access sensitive internal data and systems. This is both efficient and totally inefficient. While two-factor authentication is effective in preventing unauthorized access in the absence of proper credentials, it is inefficient in preventing breaches stemming from phishing, malware and other web-borne attacks. These will infect the device of the victim and, once in the device, hackers might access the network and bypass two-factor authentication from within the network. Detection and Prevention Approaches Detection and prevention approaches, such as anti-virus solutions and firewalls, aim to evade malicious web-borne content by discovering and/or blocking it. These solutions use signature-based detection and heuristics that check whether files and applications resemble or behave like known malware or threats. If the resemblance is close or behavior familiar, the code is deemed likely malicious and kept out. Anti-virus solutions and firewalls are highly effective at filtering out the lion’s share of malicious content before it can do any harm. As such, they are essential and valuable elements of any layered network cybersecurity solution for healthcare organizations. However, filtering based on known threats can’t reliably distinguish all malware from legitimate content. Sophisticated hackers are experts at developing malware with novel signatures, as well as evading heuristic-based detection by delaying, randomizing or otherwise altering how malware executes. New types of threats can sneak in before anti-virus signatures and heuristics are updated. And with , detection-based solutions can’t possibly keep up. Malware that lurks on websites can easily penetrate endpoints when a user clicks a URL in an email or browses an infected site. new malware specimens emerging every 4.2 seconds If the user is authorized to access hospital networks, the malware can spread freely from his device throughout the network. For any healthcare organization, protection depends largely on how promptly new vulnerabilities are discovered, patches are issued, and updates installed on each of the thousands of devices throughout each organization. For too many, delays result in disaster. Secure web gateways and URL filtering Site-categorization approaches used by secure web gateways rely on “blacklisting” or “whitelisting” sites – that is, designating them as risky or safe. Like anti-virus and firewall solutions, this approach serves as an important layer of security by barring browsing on sites that are known to be security threats or inappropriate for the workplace. However, no list can encompass – or stay abreast of – the constantly growing and evolving pool of sites and apps on the web. It is beyond the ability of anyone – cybersecurity solution vendor, network administrator, or security officer to white- or blacklist more than a minuscule fraction of the websites that are out there. Helpdesks face a constant – and time-consuming – stream of access requests for unlisted sites. More significantly, this approach fails to block malicious code that’s injected in benign sites, which can infect unwitting users who click a link or simply browse the site. Chillingly, even legitimate sites may unwittingly serve up malvertising-laden ads or other drive-by malware. In fact, a indicates that nearly 1 in every 100 ads was impacted by a malicious or disruptive ad. Combined with a conservative estimate of 4-5 display ads per page and 5 pages per session, this suggests that over 20% of user sessions might be impacted by malicious or disruptive ads. survey led by Confiant The Cure: Detectionless cybersecurity protection As a detectionless, patch-free approach to secure browsing, remote browser isolation (RBI) adds a powerful layer of protection to healthcare organizations’ cybersecurity portfolios. It dramatically reduces the risk of malware infiltration of endpoints and networks, with no need to identify malicious content or distinguish it from browser-executable code that’s (thought to be) safe. Critically for chronically understaffed and oversubscribed healthcare organizations, RBI is transparent to users, who browse the internet as usual, on any device and browser they choose, with no degradation in performance. While users experience websites entirely naturally, on their device browsers, each browsing sessions is executed, from start to finish, on a remote virtual browser that is isolated in a disposable container, located in a “safe zone” of the organization’s network DMZ. There, far from the endpoint device, sessions are rendered in real time and streamed to each user’s local browser. A new container is allocated for every remote browsing session and tab, which is then discarded once it’s closed or inactive. Browser-executable code, including malware, never reaches the endpoint, yet the user browsing experience is totally seamless. The Cure in Action: How one tech-savvy hospital keeps web-borne malware out , one of the world’s leading facilities for active and intensive rehabilitation of children with physical, respiratory, and developmental disabilities, employs several medical teams and experts that routinely leverage technology to maximize patient care. ALYN Hospital Because technology contributes immeasurably to patient care, it, unfortunately, places ALYN at risk of cyber attacks – risks that Uri Inbar, Director of IT, is adamant to guard against. "ALYN Hospital has zero tolerance for malicious attacks that can cripple hospital systems, threaten patient wellbeing, and expose private information. It’s crucial for us to have all relevant protective layers against cyber attacks and other disasters, well beyond those required for our ISO certification," Inbar explained. ’s existing cybersecurity portfolio. It dramatically reduces the risk of malware infiltrating ALYN endpoints and network via browser-executable code that can slip past defensive cybersecurity solutions. RBI brings a powerful layer of protection to ALYN The solution is transparent to ALYN users, who use the Internet as usual, on any device and browser they choose, in every treatment room, with almost no degradation in performance. Content disarm and reconstruction (CDR) capabilities are integrated with the Alyn RBI solution to enable secure download of content from emails and websites while ensuring that it does not harbor hidden malware. Both solutions are clientless and centrally managed, enabling hospital IT staff to easily control permissions based on Active Directory users and groups. An ounce of prevention… The healthcare industry’s success in reducing the sheer number of breaches in recent years is encouraging. But it’s time to take a page from the public health playbook and ALYN Hospital. By preventing malware from ever touching their endpoints, healthcare organizations can help protect patient records, smooth internet access, contain IT costs, and most important of all, ensure uninterrupted care.

Healthcare – Fighting the Cyber Infection Epidemic 

Artificial intelligence (AI) isn’t a new idea, but it’s only in recent years that our technology has caught up to the point at which it has practical uses. We’re a long way away from true artificial intelligence like the human-like robots and computers that we see in science fiction movies, but we are at least in a place where AI can outperform human beings at certain tasks. And AI could be particularly powerful in the health care industry. that key clinical health AI applications can potentially create $150 billion in annual savings for the US health care economy by 2026. that the AI health care market will be worth $34 billion by 2025. One piece of research from Accenture found Another report from Tractica found AI is great at performing repetitive tasks, and there’s no shortage of them in the health care industry. In the United States, physicians spend more time filling out electronic health records (EHRs) than they do interacting with patients. If artificial intelligence could take on the bulk of that record keeping, it would free up their time to spend it with patients. In fact, it would have the same impact as hiring hundreds of thousands of new doctors. AI’s impacts: AI has multiple impacts across the entire healthcare industry, but they can typically be categorized as aiding with one or more of the following. : New innovations like the smart belt, which warns people when they overeat, are helping to usher in a new era of preventative healthcare. The goal is to keep people well and to stop people from having to seek treatment in the first place. Keeping Well : When problems do occur, AI can help to spot them earlier. For example, Microsoft is developing computers that work on a molecular level to fight cancer cells as soon as they’re spotted. AI is also being used to analyze online search engine behavior to spot mental health issues. Early Detection : AI can help physicians to diagnose patients more quickly and arrive at insights based upon the 80% of health data that’s invisible to current systems because it’s unstructured. Diagnosis : Clinical decision support systems and other AI-based tools can help doctors and patients to prioritize tasks. Examples include Quest Diagnostics’ Quanum and VitreosHealth. Decision-making : AI-based tools are already being used across the board. Google DeepMind is reducing the time it takes to plan radiotherapy treatment while IBM’s Watson is making treatment recommendations based on patients’ medical records around the world, including in China, Thailand and India. Treatment : We’re living longer than ever, and our aging society is requiring more and more care at the end of their lives. AI-powered virtual assistants and even robots are being touted as the future, and indeed robots are already being used to care for the elderly in Japan. End of Life Care : AI can help to uncover new drugs and treatments, but it can also be used to research the diseases themselves, potentially allowing us to inoculate against them or to eliminate them. For example, Canadian start-up Meta uses AI to quickly analyze scientific papers and to provide easy insights. Research : AI-powered simulations can help surgeons and other healthcare professionals to hone their craft without putting real patients at risk. AI models are generally more realistic and reliable, and one of the advantages of using AI for training is that it can tailor the training to each different individual. Training Will doctors become obsolete? The short answer is no, or not all. Historically, technology has created jobs instead of destroying them, and this holds true all the way back to the industrial revolution. , AI will have eliminated 1.8 million jobs by 2020. At the same time, it will create 2.3 million new jobs, leading to an overall increase of 500,000. Other predictions are similarly optimistic. According to Gartner Part of this is because of the way that AI and physicians would likely interact. AI-powered clinical decision support tools could provide physicians with suggestions based on hard data, but it would be down to physicians and their patients to take this data and to decide together on the best way to proceed. But on top of that, there’s just something about health care that calls for a human touch. Just imagine that you’ve just been diagnosed with cancer. Would you prefer to be told the news by an emotionless robot that’s nothing more than an algorithm, or would you prefer to be told by a friendly family doctor? What’s next? Artificial intelligence goes hand-in-hand with machine learning, natural language processing and other technologies, all of which can be combined to process the huge amounts of big data that we create on a daily basis. In the health care industry, being able to process this data and to draw new conclusions isn’t just a matter of making money — it’s a matter of life and death. It won’t be long until artificial intelligence is being used as standard practice throughout the health care industry, and that’s good news for all of us. After all, we’ll all become patients at some point in our lives, and AI has the potential to usher in a new era of health care in which we’re all treated with personalized health care plans based on data and not just the results of clinical trials. And the good news is that we won’t even lose our doctors. AI won’t replace them — it’ll just help to make them more efficient. It’s a true case of man and machine working better together than either could in isolation, and it spells a bright future for all of us.

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