Now more than ever, the healthcare industry is leveraging new technologies to provide patients with improved, innovative care. The innovation attracting the most buzz in the healthcare industry today is artificial intelligence (AI). However, despite the ongoing hype of robots and algorithms as industry game-changers, results to date from early applications of AI in healthcare have fallen short of realizing dreams of sweeping improvements.
IBM’s Watson is an excellent example of how these improvements “in healthcare” will require a more step-by-step approach and may take longer to achieve than initially thought. In 2011, Watson garnered worldwide attention by winning a game of Jeopardy against two of the show’s greatest champions. Within healthcare, Watson’s win gave rise to hope that AI was on the precipice of full-scale deployment that would transform the industry and dramatically improve patient outcomes.
For several reasons, that hasn’t quite happened yet, and Watson has found it challenging to deliver improved patient outcomes. While those critical of AI have been quick to jump on these struggles, it’s crucial to acknowledge that Watson suffers from several common obstacles faced by AI in healthcare. These include the lack of high-quality data that can be used to train an algorithm, the low number of available training cases, implicit bias, and the differences in guidelines between the U.S. and other countries.
However, as the industry collectively works to address these issues, I envision three major areas where AI will soon transform personalized medicine.
Individualizing the patient-clinician relationship
Clinicians are already equipping themselves to better serve their patients with the predictive and organizational benefits of AI. This technology will move the field away from a “one-size fits all” approach and make the clinician-patient relationship more individualized, fostering trust.
This would be no small feat for improving the patient-clinician relationship, especially for those suffering from chronic conditions. A study by West Corporation in 2018 found that only 12 percent of chronic condition patients feel strongly that their provider is doing a good job of delivering information specific to their needs and condition.
When a clinician provides patients with unique, individualized solutions, patients feel empowered and are more comfortable speaking up throughout the treatment process. When a patient is comfortable enough to report symptoms, no matter how trivial they may seem, personalized medicine thrives.
With the help of AI, clinicians can search extensive amounts of information to find the causes of patient-reported symptoms and alter patient care accordingly. These improvements can be referenced by other clinicians and lead to large-scale medical breakthroughs.
Thanks to the advent of technologies, we can witness irreversible changes in our daily life today. It is now easier to cope with our everyday routine because we have smart solutions that speed up the pace of our life and make it more convenient.
Healthcare is where technologies are expected to revolutionize treatment and research methods we are used to so much. Hence, we have prepared some technological trends that will make healthcare more advanced in 2019.
The Internet of Medical Things
The notion of The Internet of Medical Things (IoMT) is tightly connected with wearables. This technology is designed to transmit the patient’s data through various sensors and gadgets attached to the patient’s clothes or directly to their body. Fitness trackers and smart sensors are specifically elaborated to measure blood pressure, glucose level, pulse, heart rate, etc. Along with that, you can count calories you’ve burned, and miles walked.
Well, it doesn’t sound that innovative in 2019. But what makes it one of the most progressive trends is that the gathered data can be used in many various and innovative ways. For example, preventive medicine can benefit a lot with the help of IoMT. Research gets more accurate and timely, and it is even possible to prevent epidemics using the stats gathered in this way.
Anyway, if this is your college topic and you need thorough research of the field, you can consider getting case study help by ordering your paper online to ensure the highest quality and most accurate statistics.
Well … yes, consulting a doctor through your telly looks like a scene from one of those futuristic novels showing what the world would look like in the 21st century. In fact, it is what we have now. Modern technologies allow us to forget about hours spent in a clinic waiting for your doctor to invite you. That also includes waiting for the results of your tests.
Now you can consult any doctor in the world having a computer and an Internet connection. Imagine that you needed to see a reputable specialist in another country. It would be highly inconvenient to go all the way there just for a consultation. Firstly, you’d have to spend a lot of time. Secondly, you might need help to move around. And finally, it would be costly.
Today, you can contact your doctor from any spot in the world and get their consultation. It will not work in emergency cases, but it can work well if you need help with urgent but small issues. This is a good possibility for those who reside in far rural areas or require a highly specialized doctor to receive timely medical assistance.
The technology can also allow people to get consulted more frequently, which will improve the overall health of the population and establish better relations with doctors.
Technology is the new creed that has literally touched almost every aspect of our life. Be it communication, traveling, or exercising, we are always interacting with technology. However, healthcare has always been considered a very conservative area in terms of technology deployment. This is because, in its very nature, healthcare mainly deals with human life which calls for utmost precaution. But the emergence of machine learning and artificial intelligence has sparked innovation and a myriad of solutions that are already working in the healthcare industry.
At the forefront of this growth are Android-powered smartphone devices. It’s estimated that 88 percent of all the devices sold in the last quarter of 2018 were all powered by Android. It shouldn’t then come as a surprise that companies are looking to hire Android developers to build health-care related apps.
But what does the future hold for tech solutions in the health industry? In this article, we are going to look at the trends in healthcare to look out for in 2019 and a few examples of apps for healthcare.
Artificial intelligence and machine learning are getting increasingly sophisticated to the extent of surpassing human capability and the potential for these two technologies in the healthcare ecosystem are huge.
One of the biggest potential benefits of AI in 2019 is helping people to stay healthy without consulting a doctor, or at least do it less often. Coupled with the Internet of Medical Things (IoT), AI is already being used to develop consumer health apps that proactively show patients how to stay healthy.
Moreover, AI is increasingly being used by healthcare professionals to gain deep insights and better understand of routine patterns occurring in patients. With these deeper insights, the caregivers are able to give better diagnosis, guidance, and support to the patients. For instance, the American Cancer Society is already using AI to detect cancer at the initial stages with 99 percent accuracy.
Product development is another area that AI and machine learning are being used. R&D in the medical field can be painstakingly slow and costly given that hundreds of variables need to interact with each other. Today, medical researchers are using AI to safely explore biological and chemical interactions of drugs using the discovery process and clinical data.
Another area you can get artificial intelligence in healthcare is through workflow optimization. It helps automate repetitive tasks such as routine paperwork, patient scheduling, and time-folio entry.
Wearables and Augmented Reality
I do think that a significant portion of the population of developed countries, and eventually all countries, will have AR experiences every day, almost like eating three meals a day. It will become that much a part of you.” — Tim Cook at the 2016 Utah Tech Tour – source.
Virtual wearables and augmented reality devices are other emerging healthcare trends proposing to make significant advances in the healthcare space in terms of diagnosis and medical education.
On one side of the scale, virtual reality superimposes a patient in an artificially created surrounding, whereas, augmented reality helps generate layered images to real like objects. As a result, these technologies are and will continue being used by emergency response services providers to relay critical first aid information before the first responders arrive at the hospital.
In the prevention and diagnostics front, VR/AR has allowed medical care providers to create and manipulate different camera colors to reflect or replicate pre-existing effects in their databases.
But perhaps, the biggest impact of VR can be seen in 3D reconstructions of human organs. This has proven important especially when surgeons need to re-create the exact size and positioning of human organs before conducting complicated surgeries. Having the same exact replica of human organs give surgeons the know-how on how to deal with particular organs no matter how small they are.
In terms of medical education, both VW and AR have been great tools in transforming the way students learn. Surgeons are able to rehearse surgery procedures using dummies quicker and without having to use actual human bodies.
The internet age has brought along profound changes in the telemedicine landscape. In the earlier years, telemedicine was strictly limited to doctor and nurse consultation. However, the proliferation of smart mobile devices that are capable of transmitting high-quality videos has opened up avenues for virtual healthcare services from specialists to patients straight in their homes. This is especially paramount in remote areas where doctors can’t easily reach.
As the country’s baby boomer population continues to age, the healthcare industry is gearing up for a whole new level of demand that it has never before gone through. With greater numbers of people requiring doctor visits and hospital care, the industry is looking for ways to be even more productive and efficient to ensure that the quality of healthcare that people are receiving doesn’t suffer.
One of the most exciting advances to hit the health sector is artificial intelligence or AI. This technology is looking to have a huge impact, not just on healthcare in the immediate future but moving forward. Here’s a closer a look at just how it’s changing the course of the industry.
Medical records and data are benefiting from the technology
When it comes to the areas that AI is having the largest impact, medical records and data keeping is a big area to focus on. When you think about the vast amount of information that needs to be collected, stored, and analyzed for each and every patient it can seem rather overwhelming. This is exactly why data management has become such a priority for AI.
Robot technology is now being used to actually collect the information, store it, find specific data when required, and allow for quick and seamless access across the board.
Wearable medical devices
Wearable medical devices are another area where AI is having an impact and bringing about some really exciting and promising products. It’s not just about devices that provide potentially life-saving alerts and information, it’s also devices that can help the wearer better their own personal health by tracking various details. Devices such as the Apple Watch and Fitbit are great examples of this kind of technology that can be useful to everyday people.
Now as for the devices that can actually offer life-saving capabilities and tools, look to options such as the Bay Alarm Medical which is a great medical alert system. While this device isn’t going to track any information or take readings, it can be worn 24/7 and with the push of the button, it connects you to a live operator that can get you the help you need.
One of the trickiest parts of telehealth is diagnosing any illness or issue. When so many ailments share an incredible amount of symptoms, doctors and medical professionals often need patient interaction to fully diagnose an issue. Artificial intelligence has begun to find ways around this and help to deliver accurate prognoses to patients.
Massive companies like Google have set their sights on the telehealth and e-health markets in recent years. Wearables allow doctors to diagnose issues from a distance by taking vitals such as body temperature and blood pressure. The inclusion of wearable smart gadgets keeps tabs on patients to help ensure that proper treatment is being adhered to as well, logging the data to help medical professionals gather all the data they need for treatment.
Connecting Health Cards
In a world so increasingly connected to the internet, there’s been a powerful increase in the use of electronic medical cards. Artificial intelligence is being trained to help advise patients in the best card and plan for them to keep a healthy balance between care and cost. Google’s efforts to use artificial intelligence as helpful assistants to medical professionals include being updated on card plans and working with patients to keep all parties as informed as possible.
Telehealth and electronic medical cards commonly go together, mostly due to their similar nature of an online-focused existence. This means that any advance in one field is likely to be tied to the other in some way. The training of artificial intelligence for telehealth provides a massive boon for those that utilize electronic medical cards for their health plans.
When a patient is put on a new medication, keeping an accurate schedule can prove challenging. Studies show that as many as half of all patients fail to take their medicine on time, or at all. This is partially because so many patients fail to remember the new part of their daily regimen, allowing the important medicine to go forgotten.
Artificial intelligence is often utilized in speakers and home-based assistants to help with reminders. A common usage is to set a time each day where the AI will inform their patient to take their medicine. Some doctors have even begun having telehealth patients log their doses with artificial intelligence programs to keep real-time tabs on whether a patient is following the instructions they were given.
Telehealth has grown considerably over the last years and shows no signs of stopping. Through the utilization of electronic medical cards, telehealth provides an excellent alternative for those who may have difficulty travelling or otherwise reaching medical help. The ever-growing internet of things draws telehealth and artificial intelligence closer into an excellent combination for patients in need.
Artificial intelligence is transforming the healthcare industry – it is creating opportunities that have been never thought possible while opening up the realm of new possibilities beyond human capabilities.
Powered by increasing availability of healthcare data and advances in machine learning, artificial intelligence aims to mimic human cognitive functions, assisting physicians to make better clinical decisions or even replace human judgement in certain functional areas of healthcare. A major part of AI involves the use sophisticated algorithms to ‘learn’ features from a large volume of healthcare data, and then use the obtained insights to assist clinical practice. It can also be equipped with learning and self-correcting abilities to improve its accuracy based on feedback. It can assist physicians by providing up-to-date medical information from journals, textbooks and clinical practices which can help to reduce diagnostic and therapeutic errors that are inevitable in the human clinical practice.
Here are some recent advances of artificial intelligence in practical use.
Cardiac Intervention “Mapping” the heart and, in many cases, mapping the signal of the heart allows physicians to understand specific problems before deciding on a solution. Taking arrhythmia as an example, by using AI, you can use the mapping to get much clearer understanding of what is the exact problem that causes the irregular heartbeat. Another example involves planning interventions with a catheter. Mapping provides the exact anatomical structure of the arteries so you make decisions on the exact kind of catheter to be used and the exact behavior of the arteries at the specific point where you have to do the intervention. Mapping usually occurs prior to an operation but sometimes it can be used during the operation itself, when you have images from the fluoroscopy; then you can do analysis of the images and get precise information about the location and the structure of the arteries.
Spinal Surgery This is a very interesting and challenging application where you have to be very precise, especially when you are putting in screws into the vertebrae. Precision cannot be gained very easily just by what the surgeon sees because, in many cases, it’s a percutaneous procedure. It’s difficult to see exactly where the vertebra line up. Artificial intelligence assists in the navigation by utilizing pre-op scanning, along with information provided by the x-ray in the operating room. Algorithms can combine those two sources of information which allows the surgeon to accurately navigate to the exact point of insertion.
This also holds true for hip or knee replacement. Using AI algorithms, during the planning phase, you can decide on a specific implant that will be for a particular patient. Mapping also provides very good segmentation of the bones prior to the operation. This helps avoid doing generic work with an implant that might not fully fit the knee or hip and the patient will suffer from future problems.
The megalithic healthcare conference, HIMSS19, has come and has gone from the vast former swampland of central Florida. While I’m a relative newcomer to the show’s trajectory – I’ve been to four of the annual tradeshows since 2011 – this year’s version was, for me, the most rewarding and complete of them all. This could be for one of several reasons. Perhaps because I no longer represent a vendor so sitting in the exhibit hall in a 30×30 booth with a fake smile wondering when the day’s tedium would end and the night’s socials would begin may impact my rosy outlook.
Or, maybe I was simply content to engage in the totality of the experience, attend some quality sessions, meet with many high-class people and discuss so-called news of the day/week/year. Doing so felt, well, almost like coming home. Or, perhaps my experience at the conference this year was so good because of running into former colleagues and acquaintances that drove me to such a place of contentment while there. No matter the reason, I enjoyed every minute of my time at the event.
Something else felt right. An energy – a vibe – something good, even great, seems/ed about to happen. Something important taking place in Orlando, and I was blessed to be a part of it. Kicking off the week, CMS created news – like it does every year at about this time – with its announcement that it will no longer allow health systems and providers to block patients from their data. This was a shot across the bow of interoperability and the industry’s lack of effort despite its constant gibberish and lip service to the topic.
Another fascinating thing that finally occurred to me: no matter the current buzzword, every vendor has a solution that’s perfect for said buzzword. Be it “patient engagement,” “interoperability,” “artificial intelligence,” “blockchain”; whatever the main talking point, every organization on the exhibit floor has an answer.
But, no one seems to have any real answers.
For example, after nearly a decade, we still don’t have an industry standard for interoperability. Patient engagement was once about getting people to use patient portals for, well, whatever. Then it was apps and device-driven technologies. We’re now somewhere in between all of these things.
AI? Well, hell. It’s either about mankind engineering the damnedest algorithms to automate the hell out of everything in the care setting (an over exaggeration) or that AI/machine learning will lead to the rise of machines, which will help care for and cure people – before ultimately turning on us and killing or enslaving us all (again, I’m overly exaggerating).
Artificial intelligence has the potential to revolutionize all fields, and healthcare isn’t exempted.
This technology, which involves machine and deep learning, enables computers to gain the capacity to better understand and process complex forms of data. Essentially, they would have the ability to learn through examples.
When implemented correctly, it’s a development that comes with many possibilities, especially in a data-driven field like healthcare. Machine learning has the potential to improve patient care, provide faster service and diagnoses, and generally provide a better experience for both healthcare providers and patients.
Anyone involved in healthcare (which basically means everyone) can stand to gain from learning more about how AI might affect the industry.
We are quickly moving to a patient-centric world in healthcare where treatment is coming to the patient, the patient is treated more like a customer, and medical facilities of all types must use technology from the business sector. Business sector software designed to improve the customer experience can now be used to improve the patient experience. No technology is driving this shift faster than artificial intelligence (AI). AI is propelling us into an increasingly digital medical experience where patients expect personalized experiences that take into account their individual needs and values, and empower them to get information fast and accurately.
Prescription drugs are ground zero for AI innovation
Although AI has been touted for everything from diagnosis to automating medical imaging to drug discovery, we believe that ground zero for AI innovation in patient-centric healthcare is prescription medicine. Prescribers and patients are suffering in countless ways from the complexity and associated errors in prescriptions.
A single drug has hundreds of factors that must be considered by a doctor or a pharmacist when prescribing or dispensing a drug to a patient. We examined 50 of the most popular drugs and found that the average number of considerations for a single drug is enormous:
It’s an understatement to say that AI and machine learning were among the forefront of conversation drivers recently at HIMSS19 in Orlando. One session actually diving into the ethics of AI while leaders from Microsoft, the American Medical Association and the Cleveland Clinic spoke of the need for organizations to develop the right framework for innovative clinical delivery.
Hemnant Pathak, associate general counsel at Microsoft, led the round table discussion, which included Peter Lee, CVP AI and research at Microsoft; Dr. Susanna Rose, Phd., chief experience officer at the Cleveland Clinic; and Sylvia Trujilo, MPP, JD, senior Washington counsel for the American Medical Association.
Virtually every industry is being sharpened by the emergence of these new technologies, Pathak said during his opening remarks, while pointing out the prevalence of the technology throughout the HIMSS exhibition hall. “In many cases, existing frameworks can be adapted, but as they continue to improve we’re going to need sources from every sector and they need to be given equal weight for their considerations” to the healthcare landscape.