Healthcare businesses have the overwhelming task of keeping up with digital transformation and the trends in the health industry that it is resulting in. They need to assess which of the emerging technologies are with investing money in and then getting consumers on board with that change. Digital transformation has taken place in the field of healthcare before and the impact that it has left has always been positive.
In the ongoing phase of transformation, it has resulted in better telemedicine that is now running on medical devices powered by artificial intelligence. Then, there is the growing use of blockchain to secure electronic health records. Such trends in the health industry are reshaping how patients interact with healthcare professionals, how the data is transferred between them, and the decisions that are made over treatment patterns and health outcomes.
Innovation is the main catalyst; and the goal has been to streamline the work of physicians, optimizing massive data systems,improving the outcomes for patients, reducing errors on part of humans, lowering costs, and smoothening out the integration of new devices for better experiences.
Top trends in the connected health industry
Healthcare that’s on-demand
Healthcare is slowly being turned into an ‘on-demand’ service. It’s exactly what you think it is –a trend that’s is created by consumers wanting things at their own convenience. The same mentality is now being applied to the way they approach healthcare. The industry is, in fact, entering adigital innovation era where they can now provide their services to patients at a time they prefer and wherever they are.
It is convenient because patientshave busy schedules and prefer being more mobile than earlier. Recent data shows that 50% of web browsing is now done on mobiles. There are over four billion people online globally and this number offers great potential for more use of digital technology in health care. For instance, consumers often go online to seek medical information about doctors, know about medical facilities or hospitals and place amedical appointment.
The ‘gig’ economy is the other factor driving the healthcare ‘on-demand’ health industry trends in 2021. Many freelance professionals often hire their services out to patients. There are many companies and apps that link physiotherapists, nurses, doctors, and more with patients. They might even do the same usingmedical facilities for carrying out short-term work and easier dissemination of healthcare services.
Big data in healthcare
Big data is a collective term used to refer to the way information is aggregated via various formats and platforms like e-commerce, social media, financial and online transactions. The primary aim is to identify trends in the health industryor patterns that could aid business growth. In the case of the healthcare industry, big data is often utilizedtolower errors in medical recording.
For example,AI software is used for analyzingpatient records to flaginconsistencies between drug prescriptions, the patient’s health status and even notify health professionals of potential errors.Big data is an ongoing trends in the health industry because it can be used for facilitating faster care to cater to an increased volume of patients in the emergency department. Data can be used for identifying regular patients that need specific treatment plans.
Finally, predictive analysis is powered by big data and be used for allocating staff to patients, saving a great deal of money and time when getting patients to the emergency room.
Virtual reality treatments
Virtual Reality is the most popular digital transformation change to come about in 2018. Today, it’s one of the bigger trends in the health industry as it has several applications in healthcare that could change how patients receive treatments. VR technology can be used for treating chronic pain, strokes, and post-traumatic stress disorder. Other uses include using VR simulations to carry out complicated surgeries that doctors find tedious to do otherwise.VR could even be honed in the treatment of autism, where sufferers can learn how to navigate their surroundings.
New wearable medical devices
Some healthcare companies collect health data from wearable medical devices. The previous habit that patients had was to see their doctor once a year or visiting their doctors when something wasn’t right. Patients are more health-conscious, focusing on preventive care and maintenance, and want to know more about their health frequently.
As a result, patients are using wearable devices to get updated monitoring to determine the possibilities of more dangerous health events. The devices are the most popular health industry trends in 2021 as they can be used for tracking exercise patterns, heart rates, and blood sugar levels. Certain devices can even monitor oxygen levels to assess respiratory illnesses.
Patients can save time by getting a personalized healthcare experience using medical devices to improve their health. Some medical devices turn fitness into competitive goals to boost nutrition, exercise, and diet.
AI in medical imaging
AI has been used in medicine before, but this time it’s used for building droid robots that assist nurses with routine tasks like Moxi or the nurse robots in Japan. These robots are in a physical form that can be controlled with software and are used to facilitate restocking supplies, care for the disabled or elderly.
The other smart AI health care outcome is the use of virtual health assistants and chatbots. These are smaller, lighter adaptations of the robotic nurses that are not physical. They are used for fulfilling roles like customer service, therapists, and diagnostic tools.
There are more advanced applications of AI like medical imaging, drug discovery, genomics, and precision medicine. Using these AI tools, doctors can develop specific treatment plans built on sophisticated pattern recognition. Patients then have personalized therapies that are custom fit to their lifestyle and genetic makeup.
Computer programs powered by AI can analyze many pathology images in seconds to determine various cancers and provide accurate diagnoses. With such accuracy, it becomes easier for oncologists to identify the best possible drug combinations for treating those cancers. Where medical imaging diagnostics are concerned, AI can show radiologists all the finer details that the human eye can easily miss out on.