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Cybersecurity is something that continues to grow as more and more people are utilizing digital services for their day-to-day routine. It’s only natural that the average homeowner would use online banking and various other services, as it allows you to get the job done without leaving the house. It’s undoubtedly quite efficient, but it does increase the risk of overall cyber incidents.
With the recent cybersecurity bill, there’s more focus on cyber incidents, which includes a 72-hour mandate for those reporting any major cyber incidents. In addition, all civilian agencies also must report any and every cyber attack to the Cybersecurity and Infrastructure Security Agency (CISA).
The question here is how exactly does the senate’s recent cybersecurity bill impact the healthcare sector, as well as how realistic it might be to report within the 72-hour mandate.What Counts as a Major Incident?
Like most other law bills, those passed typically rely on the specific print regarding what is enforced and what isn’t. For example, in the case of what counts as a significant incident, a doctor having issues with their account or perhaps losing the laptop they use in the hospital is likely not to require the mandate. On the other hand, if a hospital is attacked by malware that proceeds to disrupt specific systems, it will likely fall under the bill.
When it comes to what falls explicitly under major incidents, there are still developments being made. Once the bill comes into law, the healthcare sector will have to figure out how to manage such a thing effectively and what changes need to be made.
10 Best Chrome Extensions For 2023Why Such A Bill might be Considered an Additional Burden
While the bill seeks to increase the overall response time for cyberattacks, it does not necessarily mean that every organization that falls under the bill can do so. The 72-hour turnaround time can be rather tricky, especially for major attacks. Such is why companies need services such as the HIPAA risk management framework to help automate and streamline the process.
Keeping up to Date with Compliance and Laws
The healthcare sector will undoubtedly have a challenging time adhering and staying compliant. Therefore, it’s a good idea for business owners of every industry to stay up to date with compliance and laws and look for ways to help streamline the overall process.
Compliance is not to be taken lightly, and the sooner you push for automation and integration, the easier things will get. Only time will tell whether the bill will seriously affect how the healthcare sector operates, though the quick turnaround times can and will be overwhelming at the beginning.
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“Data science helps enable more effective care for the patients in many ways”, says Rob O’Neill.
Specialists like Rob O’Neill are now making use of vast amounts of data to evaluate what works better. The data science in healthcare approach allows applying data analytics that has been aggregated from various fields to boost the healthcare sector. It is now obvious, that the healthcare data system is ready for change.
Data science can change the health care sector in so many ways. From using technologies like Artificial Intelligence and DevOps for health tracking to scheduling nursing shifts, data analysis backs up a value-based data-driven approach. This, in turn, allows for optimizing the workforce and throughput, improves care recipients’ satisfaction, and balances the supply. On top of this, if you implement the right use of data science in healthcare, medical organizations can greatly reduce costs and re-admissions.
The health care sector has been leveraging data science to accelerate operations and aid patient recovery from various ailments, including COVID-19. As the industry continues to navigate through the post-pandemic landscape, this is showing no signs of slowing down.Some of the biggest data science trends that are occurring in the health care data space:
The rise of hybrid platforms: Organizations need to consolidate their health care data and analytics capabilities. This requires building a platform strategy where organizations can leverage their internal resources. Think of this as building an analytics hub for big data, where tools are built to manage and process the entire data science life cycle.
Increased use of Artificial Intelligence:
Artificial Intelligence and machine learning deployments have proved key in accelerating communication and data management within healthcare. There is huge potential for Artificial Intelligence and data science to have a sizeable, positive impact on healthcare shortly. Artificial Intelligence is also being used to help diagnose illnesses. Using computer vision and deep learning to understand images from scans, those illnesses that can be harder to detect, such as certain types of cancers, can be found and treated a lot earlier, meaning a much higher rate of survival for patients.
DevOps adoption for cost reduction:
DevOps has played a vital role, particularly in the area of pharmaceuticals. DevOps has helped businesses in the space to reduce costs, achieve compliance quicker, and maintain productivity. The health care data industry is heavily regulated to ensure that the drugs created do not cause harm, and this includes monitoring its software and hardware components as much as anything else. Using DevOps instead of computer system validation allows businesses to autonomously reduce the risk of bugs, and avoid bottlenecking all without damaging productivity and reliability.
Digital twins: Digital twins is another aspect of data science that’s been making moves within health care data, helping to drive the sector’s post-pandemic recovery. The technology is allowing organizations to make decisions quicker, with the aid of modeling and simulation. Breaking down everyday processes into numerical information – things like waiting times, staff numbers, resource availability, floorplans, and typical timings for surges in demand – is where data science in healthcare is contributing toward healthcare process excellence. This data provides the blocks on which to build out a digital replica – or twin – and it’s in this virtual playground that you can experiment and optimize by running simulations.
Shifting towards preventive treatment: health care’s wealth of historic patient data coupled with the steady rise of home monitoring equipment means health services have vast stores of structured data. Yet, to date, the overwhelming majority of treatment is reactive, managing an established condition or responding to medical emergencies. With the right data science tools and patient home equipment, we’re learning as an industry how to spot trends and early indicators of conditions, allowing for a more preventive approach to care.
Providing strong security, a community of practice, mentorship, and communications to a whole learning eco-system, data science professionals in the healthcare sector and life sciences can better understand the value and use of data science in healthcare within their industry.
Data science is widely regarded as one of the most essential parts of any industry in today’s marketplace, given the massive amounts of data that are produced.
Data science is one of the most debated topics in the industries nowadays. Its popularity has grown exponentially over the years, and companies have begun implementing data science techniques to grow their business and increase customer satisfaction.
Data science is defined as the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make valid business decisions.
Data science uses complex machine learning algorithms to build predictive models. Data Science is basically a mixture of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the given raw data.
The data used for analysis may be from multiple sources and can be present in various formats.Data Science in Healthcare
Data Science is growing enormously to occupy all the industries of the world in the current world. In this article, we will understand how data science is transforming the healthcare sector. We will understand various underlying concepts of data science, used in medicine and biotechnology.
To ease the workflow of the healthcare system
To reduce the risk of treatment failure
To provide proper treatment on time
To avoid unnecessary emergencies due to the non-availability of doctors
To reduce the waiting time of patients
There are several fields in healthcare such as medical imaging, drug discovery, genetics, predictive diagnosis and several others that make use of data science.1. Drug Discovery with Data Science
Since Drug Discovery is considered a highly complicated discipline, the various pharmaceutical industries are heavily relying on data science to solve their problems and create better drugs for the people. Drug Discovery involves heavy financial expenditure and heavy testing. Thus, it is a time-consuming process. Data Science along with Machine Learning Algorithms are revolutionizing this process and providing extensive insights into optimizing the success rate of predictions. The various pharmaceutical companies use the insights from the patient information such as mutation profiles and also the patient metadata. This information really helps the researchers to develop models and find statistical relationships between the multiple attributes. Therefore, the companies can design drugs that address the key mutations in the genetic sequences. Deep learning algorithms can find the probability of the development of disease in the human system. The data science algorithms can also help to simulate how the drugs will act in the human body that takes away the long laboratory experimentations.2. Tracking & Preventing Diseases
Data Science plays a major part in monitoring a patient’s overall health and notifying necessary steps to be taken in order to prevent potential diseases from occurring. Data Scientists are using powerful predictive analytical tools to detect chronic diseases at an early level. In most extreme cases, there are instances where diseases are not caught at an early stage due to negligibility. This proves to be highly detrimental to not only the patient’s health but also the economic costs. As the disease grows, the cost of curing it also increases. Therefore, data science plays a huge role in optimizing the economic spending on healthcare.3. Providing Virtual Assistance
With the help of disease predictive modeling, data scientists have developed a comprehensive virtual platform that provides assistance to patients. With the help of these platforms, a patient can enter his or her symptoms in the input and get insights about the various possible diseases based on the confidence rate. Furthermore, patients who suffer from psychological problems like depression, anxiety and neurodegenerative diseases like Alzheimer’s can make use of virtual applications to help them in their daily tasks.4. Monitoring Patient Health
Data Science has a key role in IoT i.e., the Internet of Things. The various IoT devices are present as wearable devices that track the heartbeat, temperature and other medical parameters of the users. The data that is collected is analyzed with the help of data science. With the help of analytical tools, doctors are able to keep track of a patient’s circadian cycle, their blood pressure and also their calorie intake. Other than wearable monitoring sensors, doctors can monitor a patient’s health through home devices. For patients that are chronically ill, there are several systems that track patient’s movements, monitor their physical parameters and analyze the patterns that are present in the data.5. Data Science for Medical Imaging
The primary and foremost use of data science in the health industry is through medical imaging. There are various imaging techniques like X-Ray, MRI and CT Scan. All these techniques visualize the inner parts of the human body. Traditionally, doctors would manually inspect these images and find irregularities within them. Previously, it was very difficult to find microscopic deformities and as a result, doctors could not suggest any proper diagnosis. With the development of deep learning technologies in data science, it is not difficult to find such microscopic deformities in the scanned images. Through image segmentation, it is possible to search for defects present in the scanned images.6. Data Science for Genomics
Before the availability of such powerful computation, organizations spent a lot of time and money on analyzing the sequence of genes. which was very expensive and a tedious process.7. Predictive Analytics in Healthcare
Healthcare is widely considered an important domain for predictive analytics. It is actually one of the most popular topics in health analytics. A predictive model uses historical data, learns from it, finds patterns, and generates accurate predictions from it. It finds various correlations and association of symptoms, finds habits, diseases and then makes meaningful predictions. Predictive Analytics is playing an important role in improving patient care, chronic disease management and increasing the efficiency of supply chains and pharmaceutical logistics. With data science, hospitals can predict the deterioration in a patient’s health and provide preventive measures and start an early treatment that will assist in reducing the risk of the further aggravation of patient health. Furthermore, predictive analytics plays an important role in monitoring the logistic supply of hospitals and pharmaceutical departments.Conclusion
So, we can conclude that data science has many applications in healthcare and the medicine and healthcare industry has heavily utilized Data Science efficiently for the improving lifestyle of patients and predicting diseases at an early stage.
“Blockchain” is one of the most popular terms in medical technology. There’s a valid explanation behind this. Simply said, Blockchain has the ability to transform the healthcare industry. Patients may be properly focused on at the heart of all operations once it is fully deployed, which will be completely rebuilt with improved security, privacy, and accessibility. But how does Blockchain make all of this possible? How is the healthcare business maximizing the potential of this cutting-edge technology?What is Blockchain?
A blockchain is a distributed database shared by nodes in a computer network. As a database, a blockchain stores information electronically in a digital format. Blockchains are well-known for playing a crucial part in cryptocurrency systems such as Bitcoin. It keeps track of transactions in a secure and decentralized manner. The basic goal of a blockchain is to assure the consistency and security of a data record while also fostering trust without the need for a trusted third party.
The healthcare business does, however, confront significant constraints and obstacles, such as traditional data collecting, data accessibility, and data privacy and security. Blockchain technology is founded on three essential ideas in order to address these issues. Private key cryptography, distributed ledgers, and authentication are three of them.Is Blockchain needed in healthcare?
In the field of healthcare, the pace of development is increasing at an astounding rate. Today’s demand is for high-quality healthcare facilities that are supported by innovative and cutting-edge technology. In this situation, Blockchain would play a critical role in transforming the healthcare industry.
Furthermore, better research and sharing of data on public well-being would improve treatment for various groups. A unified database manages the whole healthcare system and organizations. Data privacy, sharing, and interoperability have been the most critical concerns in population health management up until now. Blockchain is the answer to this conundrum.
This technology increases security, data transfer, interoperability, integrity, and real-time updating and access when appropriately applied. Data security is also a big concern, especially in the fields of personalized medicine and wearable technology. Patients and medical professionals demand a safe and straightforward method of recording, sending, and consulting data through networks, and Blockchain technology is being used to solve these issues.What is the application of Blockchain in Healthcare?
When it comes to blockchain applications, there are a lot of them, notably in the healthcare field. On a much broader scale, these apps aid in renewing the healthcare industry’s capabilities.
Interoperability in the Healthcare Ecosystem − Blockchain can help healthcare providers create a next-generation system that combines immutable and decentralized health data. Healthcare practitioners can use blockchain networks to send secure, real-time patient data. This applies to pharmacies, clinics, and insurance companies as well.
Supply Chain Security − Another important use of Blockchain is in the healthcare business, where it aids with the security of supply networks. Blockchain transactions are recorded in a chronological manner, which can allow supply chain vendors in the healthcare industry, such as pharma and MedTech companies, to follow the journey of raw materials from the company’s source to the consumer.
Providing Patients with Data Control − Patients can take control of their data thanks to blockchain technology. It is now possible to record practically all of a patient’s medical information using cutting-edge technology. It also enables patients to keep track of any doctor or payer who has used their credentials to gain access to their data.
Point-of-care Genomics Management − Point-of-care tests are also known as “medical diagnostic tests” in the genomics field. These tests are performed at or near the point of patient care and provide real-time results to aid clinical decision-making. The platform proved to be highly useful during the COVID-19 pandemic, as it was capable of processing data as well as lab and diagnostic tests across platforms.
Smart Contracts and Manual Process Automation − Interoperability is a major challenge in the healthcare industry, and leveraging blockchain technology to create smart contracts, which are self-executing scripts that follow pre-determined rules, can help solve it.
Pharma and MedTech businesses can use blockchain technology to automate the validation, coordination, and maintenance of adherence to trial guidelines.
It can simplify the recruiting process by allowing patients or volunteers to self-identify and enroll in trials, with the system automatically assessing and verifying their eligibility.
Researchers’ data collection can be made simple and error-free. The clinical data acquired will be valid and verifiable because blockchain technology can help store all data in a consistent, accessible architecture in which patients provide access to others by exchanging public and private keys.
All of the following can help trials finish faster and for less money by facilitating patient recruitment and data exchange across different sites, reducing data preprocessing, and expediting regulatory approvals. Academic institutions and pharmaceutical companies all across the world are looking for ways to actualize this promise.Conclusion
Healthcare businesses can use blockchain technology to give both openness and privacy. It aids in the concealment of sensitive patient information while allowing access and sharing when necessary. Attackers would need massive processing capacity to even try to target a blocked network if they were protected by modern security technologies, drastically reducing the frequency, probability, and effectiveness of attacks.
The healthcare sector’s blockchain potential is allowing general-purpose digital technology. It should be evaluated on its own merits and adopted where it is the best answer for the problem after being compared to other options such as governance and law approximation.
Incremental integration is one of the properties of blockchain systems that must be evaluated for compliance with laws, regulations, and data management frameworks.
Existing systems and technology must be taken into consideration. With its potential in telemedicine, blockchain technology in healthcare is poised to revolutionize the world.
Bill Nye (the “Science Guy”) has made no secret of the fact that he thinks the world is in a dark place. Especially when it comes to our ability to rely on scientific reasoning. “This movement now to presume your intuition is as good as science, that you should ignore facts, is just weird and not right,” he told PopSci. “Everybody is talking about making jobs, but to get jobs in the U.S. you need innovation—and for innovation, you need science.”
That’s one of the reasons he’s so excited about Monday’s total eclipse. As the moon transits between the Earth and the sun on August 21, a staggering 14 states will experience totality—brief periods when the world will become dim as night. And even outside that broad swath of temporary darkness, the entire nation will experience some kind of partial eclipse. Millions and millions of people will experience the same awe-inspiring phenomenon on the same day. It’s an opportunity for shared moments of quiet, from sea to shining sea.
“This amazing phenomenon is passing across the world’s third most populous country, and because of our developed highway system, almost anyone can drive out and get right under it,” Nye said. And the fact that it’s an event made possible by our scientific know-how makes it all the sweeter. “There’s no psychic who can predict eclipses within hundredths of a second for us,” he said. “That’s all science. We’re all coming together and it’s science, just science, nothing but science and it’s beautiful.”
“Oh, man,” he said. “I am an eclipsing fool.”
The first is pretty obvious: he doesn’t want anyone burning their eyeballs out. The UV radiation of the sun is dangerous for sensitive eye tissues—just like it is on any other day of the week—and during an eclipse, you’re more likely to get caught off guard. The moon will block enough light to keep your eyes safe until it suddenly doesn’t, and it’s easy to get caught unawares and stare too long.
“The blessing and the curse of an eclipse—the blurse, if you will—is that it’s so fascinating you just want to stare at it,” Nye said. “So wear the right glasses.”
But while physical safety is obviously important, Nye seemed even more concerned about a different subject: photographs. He knows all too well that a thrilling moment can be lost if participants choose to focus on documenting instead of simply savoring.
“Changing the subject back to me, finally,” he joked, “People love to take pictures with me. It’s become a whole thing. And so they come up and take these selfies with me, and then afterwards if someone asked them what we talked about, I guarantee most of them have no idea.”
If you blow your chance at having a meaningful interaction with Bill Nye The Science Guy, you can probably manage to catch him on another book or TV tour, or at some random science event—he gets around more than the moon gets in front of the sun. If your minute or so of totality goes by in a blur of Instagrams and Snapchats, you’ll probably have to wait at least a few years to make it up to yourself.
“When you’re in love, you want to tell the whole world,” he said. “But you can get caught up in making pictures and forget to actually be there.”
This isn’t to say you shouldn’t take a photo or two. After all, it’s a momentous occasion. You’ll want something to remember it by. But if you spend all of it fumbling with your phone, no memento will make up for the fact that you never really formed any memories of your own as the moon blacked out the sun.
If you’re dead set on capturing the event on camera, follow our guide to make sure you know what you’re doing. And practice beforehand, to limit the amount of time you’ll spend setting up each shot. Give yourself a time limit: instead of taking photo after photo in the hopes of ending up with the perfect one to tweet out afterwards, promise yourself you’ll only take your camera out at short, predetermined intervals. Make sure you know how long totality is where you’re going to be, and make sure you’ll be spending most of it looking at the eclipse without an iPhone eclipsing your view.
You might even consider the following: just skip the pictures entirely. Sit back, relax, and think about how many other people are spending their lives under the same star. It’s not like you’ll have any trouble finding documentation of the day when you’re done.
“There will be a lot of eclipses,” Nye said. “I for one just want to live in the moment. I hope everyone can do that. Just stop and say, ‘My goodness, this is amazing! It’s dark in the middle of the day, and my beloved moon, which I’ve come to know and appreciate my whole life, is blocking the sun—this is gorgeous.’ It’s cool, so just soak it up.”
If you really must whip out your camera, be sure to share your photos with the hashtag #PopGoesTheSun on Twitter and Instagram—but remember: there’s no need to spend any potential viewing time on social media. You can save those ‘grams for posting at the end of the day.
As the economy improves and at least some of the concerns about the so-called U.S. “fiscal cliff” are resolved, desire for new mobile, analytics, and storage technology will drive information technology spending this year, according to market researchers and economists.
The first batch of IT spending forecasts for the year are already in, and they look positive relative to the doldrums the tech industry was in during the last six months.Businesses buy tech
Global IT purchases will increase by 3.3 percent in 2013, in terms of U.S. dollars, to US$2.1 trillion, according to a Forrester report released this week. Because the dollar has been strong relative to other currencies recently, however, a better way to understand IT spending growth is to look at the spending increase in terms of local currencies, according to Andrew Bartels, chief economist at Forrester. In local currency terms, IT spending growth this year will be a relatively healthy 5.4 percent, he noted.
Next year will be even better, with worldwide spending on IT increasing 6.1 percent in U.S. dollars and 6.7 percent in terms of local currencies, Forrester forecasts.
The partial deal on the fiscal cliff reached by the U.S. Congress this week will help unlock corporate coffers, Bartels said. The fiscal cliff was a series of government spending cuts and tax hikes set to kick in during 2013 if a budget compromise was not reached. Congress worked through New Year’s eve and New Year’s day to reach a compromise on taxes, which calls for, among other things, an increase on income taxes only for the wealthiest Americans, though a payroll tax on wages will come into effect.
Congress still needs to work out an agreement on government spending over the next two months. “But two-thirds of the impact of the fiscal cliff had to do with taxes,” Bartels said. “Especially in the second half of 2012, you had U.S. businesses go into a capital spending freeze because of worries about going into a fiscal cliff recession.”
Removing much if not all of those concerns also removes many barriers holding back U.S. investments on new technology, particularly around mobility, analytics and collaboration software, said Bartels.
In addition, as Europe continues to comes to terms with its debt problems and climbs out of recession, and China resolves political problems around a transition in leadership, areas of the world outside of the U.S. will also start to grow faster in 2013, leading to greater IT spending in 2014, Forrester said in its report.
Software, at $542 billion, will remain the largest category of global IT purchases in 2013, and will experience growth of 4.4 percent in dollar terms, IDC said. Computer equipment, at $416 billion, is the second-largest category, but will remain weak with just 2.1 percent growth this year, Forrester said, after 1.2 percent growth in 2012.
In tight economic times, corporations tend to rein in hardware spending, letting users continue to use older machines, Bartels pointed out. But an improving world economy will set the stage for a release of pent-up demand next year.
Data from other market researchers broadly back up the trends seen in the Forrester outlook. For example, broad economic uncertainty and weak demand for PCs led IDC to reduce its expectations for semiconductor growth for both 2012 and 2013. In a report issued just before the new year, IDC said semiconductor revenue for 2012 would end up being $304 billion, up less than 1 percent. That was significantly less than the 4.6 growth rate predicted in July. However, semiconductor revenue will rise 4.9 percent to $319 billion in 2013 and reach $368 billion in 2023, IDC said.Priorities: security, mobile gadgets
Meanwhile, enterprises buying new mobile devices and investing in security and storage management will give IT spending a boost in 2013, said Gartner this week. Gartner forecasts worldwide IT spending, in terms of U.S. dollars, to increase by 4.2 percent this year to total $3.7 trillion. The difference in the Gartner and Forrester figures is due in part to Gartner’s inclusion of telecom in its calculations; Forrester breaks out telecom spending into a separate report.
“Uncertainties surrounding prospects for an upturn in global economic growth are the major retardants to IT growth,” said Richard Gordon, managing vice president at Gartner, in a statement about the report. “This uncertainty has caused the pessimistic business and consumer sentiment throughout the world. However, much of this uncertainty is nearing resolution, and as it does, we look for accelerated spending growth in 2013 compared to 2012.”
But corporate planners are apparently not entirely certain that the world economy is out of the woods yet, cautions Computer Economics, which provides metrics for IT management, in a new report. “As IT budget planners look to the year ahead, they are expecting growth in IT operational budgets close to what occurred in the previous year, about 2.5%, while IT capital investments plans are flat and IT hiring plans are on hold,” the firm said. “Until a clearer picture of the economy emerges, large enterprises are preparing for a slow-growth environment.”
Editor’s note: Two errors in attribution were corrected in this story on January 7, 2013.
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