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How IoT is Changing the Science of Medicine

How IoT is Changing the Science of Medicine

Automation is everywhere – in our phones, in our cars, in our homes. The Internet of Things (IoT) is an inter-operational network of physical devices, vehicles, and other electronic items. The network enables all of these devices to connect to one another and to the internet via wireless technology. This allows developers to add technology-based features, including the ability to deliver real-time experiences.

As of this year, IoT is starting to transform healthcare. More specifically, the Internet of Medical Things (IoMT) is transforming how patients are being kept safe and healthy. The IoMT allows medical devices and applications to gather data and communicate, over a wireless network, with healthcare IT systems. A few examples of this connecting network include remote patient monitoring of chronic patients and tracking medication orders. Its main objective is to enable a greater range of services in device management, patient care, and service delivery.

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prevent infections

Preventing Infections Before They Happen with Predictive Analytics

Predictive analytics is a rapidly growing area of data science. It uses various statistical techniques, such as predictive modeling and machine learning, to make predictions about unknown future events. In healthcare, predictive analytics analyzes historical and real-time data to identify patient behavior, manage chronic diseases, and improve patient care. The tool allows clinicians, administrative staff, and financial experts to receive alerts about potential events before they happen. This, in turn, helps them to make more informed decisions revolving around patient care.

Today, numerous hospitals across the nation are using real-time predictive analytics. One area in particular where the integration of predictor and intervention are showing efficacy is in preventing infections before they happen.

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data in healthcare

The Age of Data Driven Medicine

For decades, medical professionals and other players in the healthcare industry have been generating massive piles of data. New tech-savvy tools that allow users to connect structured and unstructured data presents a unique way to derive meaning from this large source of data. As a result, the world of healthcare is becoming a data-driven business, with patients continuously demanding better, more personalized care.

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big data in healthcare

How Big Data Is Shaping the Future of Wound Care

Big data refers to massive bits or sets of data – both structured and unstructured. Analyzed computationally, it intends to reveal trends, patterns, and associations – especially in human behavior. It also has one or more of the following characteristics: volume, variety, velocity, or veracity.

Big data has made an immense impact in the world of business. Now, it is doing the same in the world of medicine.

Healthcare provider decisions are becoming more and more evidence-based. This means that they are relying more on research and clinical data, as opposed to solely on their schooling and expertise. Now more than ever, there is a greater demand for big data. Perhaps the most widespread application of big data in healthcare is electronic health records (EHR). Every patient has his or her own digital record, which includes their medical history, allergies, lab results, etc.

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What Is the Difference Between Telemedicine and Telehealth

What Is the Difference Between Telemedicine and Telehealth?

The intersection between medicine and technology can be quite confusing. Often times, the terms telemedicine and telehealth are used interchangeably. However, there is a distinction between the two.

Telemedicine is the practice of medicine using technology to deliver care at a distance. A physician or other healthcare provider uses telecommunications technology for diagnosis, treatment, and prevention of diseases and injuries. All of the healthcare services are provided to patients remotely via video, smartphones, email, etc. That being said, this particular practice eliminates the need for an in-person visit.

Typically, telemedicine aids in the management of chronic conditions, medication management, follow-up visits, and video consultations with specialists.

Telehealth, on the other hand, includes a wide range of technologies and services to deliver care and to improve the healthcare delivery system as a whole. It facilitates patient self-management and caregiver support for patients. This particular practice encompasses 4 infrastructures:

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Interoperability

Why Is Interoperability So Important for Healthcare Organizations?

Interoperability refers to the ability of computer systems or software to communicate, exchange, and make use of information. In order for two systems to be interoperable, they must be able to exchange data and then present that data in a manner that can be understood by the user.

Nowadays, being able to exchange data across databases, platforms and other computer-based information systems is vital to the economic sector. And the healthcare sector is no exception to this rule.

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AI and Deep Learning

How Are AI and Deep Learning Creating Smarter, More Effective Treatment Methods?

Artificial intelligence (AI) and deep learning are revolutionizing the healthcare industry on a global level. They are practical tools that are helping medical universities, hospitals, and other healthcare organizations to optimize their services, improve the standard of care, and reduce medical errors. In fact, according to research findings, 35% of healthcare organizations will implement AI solutions within the next two years. What’s more, by 2021, Al systems will generate $6.7 billion in global healthcare industry revenue.

Further advancement in care delivery

Electronic health records are just one example of deep learning in healthcare. And the availability of this data is necessary for further advancement in care delivery. Other examples of how AI and deep learning have begun to create smarter, more effective treatment methods include: Read More

How Is Big Data Modifying the Way We Treat Patients Today?

As the need for better treatments and demand for improved patient care increases, the ability to sift through the vast sources of data and quickly and intelligently extrapolate actionable trends becomes meaningful. With such needs comes the rise of new technology, including the use of big data.

BigDataBig data refers to the large volumes of digital data collected from various sources, be it doctor visits, clinical examination results, etc., It shapes the way we manage, analyze, and leverage data in any industry. So, it is no surprise that one of the most promising areas where it is being applied is the healthcare industry.

Why is big data necessary for healthcare?

Big data in healthcare use specific health data of an individual or a population to identify potential disease cures, epidemic preventions, reduction in medical costs, and more. Read More

Artificial Intelligence Benefits & Applications in Healthcare

Artificial intelligence in medicine is a great idea that can greatly improve the patient-doctor communication and healthcare professionals. One of the greatest benefits of AI especially in technology is that it enhances the capacity to process & store large amounts of data. This process is a mainstreamed and standardized manner and translates that information into functional tools.

Artificial Intelligence, a great addition to the expertise of the human factor in healthcare

Artificial intelligence is of great importance in health care. It can collect data over time, access data stored in other computers and go over data written on the internet, online books and research notes in a matter of seconds, and make an educated decision based on all the data it’s been over.

When implementing new technology as a process in our practice many things can go wrong due to lack of knowledge or human error during the implementation phase of the technology. As much as AI as a new technology can be of benefit to healthcare providers it can also prove to be disruptive later down the line mainly due to human error in the past. Before we adopt any new process, or technology it’s important to fully understand it in order to avoid critical or even fatal mistakes.

Artificial Inteligence

 

To make AI as efficient and effective as possible in the future some steps should be taken:

  • AI should be used to assist healthcare givers, not always to fully automate the process.
  • The adopted platform should be fully understood by all who will be operating the AI system.
  • Engage and involve students in discussions and real-time practice with AI systems. The sooner they start practicing the better.
  • When implementing the system, have a professional oversee the whole procedure.

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How AI Could Help Shape the Future of Medicine

Technology progresses so fast nowadays it’s hard to keep track. Sometimes it’s even hard to distinguish science fiction from reality. Many of the things we’re used to seeing only in Sci-Fi movies on our TV screen are now becoming a reality. One of the main factors technology is changing is employment and automation of jobs in different industries. Different jobs in different industries have different rates of automatability.

When it comes to the medical professions, the rate of automatability sits comfortably at 0.4. That means doctors and surgeons have a chance of 0.4% of being replaced by automation in the future. However, this is not to say that technological progress doesn’t affect the medical professions.

Performing heart surgeries, giving diagnosis etc. must have a certain percent of empathy for them. And that’s what makes the human factor in medicine crucial. Now let’s take a look at some ways AI will shape the future of medicine. Read More