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.
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.
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:
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.
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
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.
Big 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 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.
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.
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
Even though artificial intelligence has been around for a while, it’s just now that it’s being popularized and implemented in our everyday lives in every possible way. From smartphones with AI interfaces to self-driving cars, the benefits are clearly visible.
With all the noise surrounding artificial intelligence and the rising speculations that AI has the potential to evolve in a great danger to mankind, it’s easy to let our survival instincts kick in and discard AI as something bad and threatening. But is AI really pitting man against the machine?
I think medicine is the perfect example where the benefits of AI clearly shine over its possible future negative effects, mostly because even the steadiest hand can’t be as steady as the precisely accurate robots and extremely fine-tuned diagnostic algorithms to solve complex surgical and clinical problems. Read More
Different types of wounds take different time periods and different care procedures to fully heal but most of them go through similar or same healing stages. In general smaller wounds take less time to heal while larger and deeper wounds requiring more time and more care to fully heal. The whole healing process of the wound depends on many factors such as wound dressings, the attention and care you devote to the wound, the origin of the wound and so on.