Top 5 E-Health Trends for 2022
Catch up with the latest developments in digital healthcare
What is E-Health?
E-health is a buzzword used to describe the use of the latest digital technology in order to provide smart healthcare solutions that can transform and optimize traditional medical practices.
Cloud computing, Big Data, Artificial Intelligence (AI), as well as the Internet Of Medical Things (IoMT), have all contributed to creating more efficient patient treatment management methods.
Digital health solutions can enable real-time insights into patient histories, identify health risks earlier and ultimately establish a more accessible and patient-friendly healthcare system for all.
The Covid-19 pandemic has placed innovation at the forefront of global health policy and the rapid digitisation of healthcare data can offer exciting opportunities for digital health solutions.
As the digital health sector continues to flourish into 2022, let’s have a look at the top 5 e-health trends to look out for next year.
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Within a healthcare environment, big data includes patient records, hospital performance records, medical exam results, as well as data from devices connected to the internet of things.
Patient data generated by e-health devices and software provide business intelligence capacity within healthcare systems that can drive financial growth and offer advanced treatment options.
Big data allows healthcare professionals to use detailed medical data analytic tools in order to reduce facility operating costs and identify investment areas faster and easier than ever before.
Clinicians can use big data to detect earlier patient deterioration patterns, predict and manage epidemics, as well as to optimize the quality and efficiency of healthcare practices and facilities.
While the pandemic accelerated innovation and the digital transformation of the global economy, advanced big data analytics have the ability to drastically disrupt and revolutionize healthcare.
Proving once again that Data is King, the European Health Data Space (EHDS) will function as a health data exchange platform between EU countries, empowering research and health policy.
Through the use of mobile sensor devices, remote healthcare practices enable real-time patient monitoring, as well as the performance of preventive check-ups from outside the hospital.
One of the major advantages resulting from the wide adoption of digital health technologies around the world is their ability to offer a range of telehealth, or remote patient care options.
This can be beneficial to those living in rural and remote areas, people who can’t travel to medical facilities, as well as those who don’t have easy access to highly specialized healthcare.
With stay-at-home orders and social distancing measures imposed in most countries, clinical teams maintained healthcare access by deploying telehealth and virtual patient care models.
As the medical ecosystem evolves along digital technology, specialized healthcare services like mental health are expected to make a permanent shift to mainly virtual models of patient care.
Even before the pandemic disrupted the world’s economy, telehealth and remote patient care options were a growing healthcare industry sector, projected to reach $400 billion by 2027.
Internet of Medical Things (IoMT)
The Internet of Medical Things is a term referring to a wide range of digital health devices and applications that are connected to IT-powered and online healthcare systems around the world.
IoMT medical devices use wi-fi to perform machine-to-machine communication and to connect to various cloud platforms and databases that can store and analyse medical data in real-time.
Examples of the IoMT include remote patient care and monitoring of chronic conditions through wearable e-health devices, as well as tracking of patient medication and hospital admissions.
Allowing patients to communicate with medical professionals from home, and to avoid unnecessary travel, telemedicine practices are entirely based on the technology of the IoMT.
A top priority for healthcare providers of the future will be to secure private patient data that is generated through the IoMT, through ethical health policy acts and smart cybersecurity systems.
As most consumer mobile devices can now use Radio Frequency Identification (RFID) tags to share data with IT systems, the potential applications of the IoMT are growing faster than ever.
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Another name for medical software applications used during the treatment of various conditions is Digital Therapeutics. Similar to personal wellness apps, but focused on clinical result delivery.
Digital therapeutic applications are different from wellness apps because they are developed through advanced scientific testing before being approved by certified healthcare organizations.
These medical apps have been successfully used as preventative tools for treating people at risk of developing serious illness, or for monitoring patients with pre-existing chronic conditions.
Whether they are used independently, or in combination with medication and traditional medical treatments, e-health apps can help to prevent, manage and treat a range of medical conditions.
By providing evidence-based therapeutic interventions, medical software can deliver treatment guidance, address complex conditions like diabetes and offer stimulation for behavioral change.
Demonstrating exciting future growth potential, the global market for digital therapeutic software was valued at $3.5 trillion in 2020, and it is projected to reach a value of $23.5 trillion by 2030.
Artificial Intelligence (AI)
Artificial intelligence, which means simulating human intelligence by using computer systems, is an IT technology that has the ability to completely transform the traditional healthcare industry.
Technologies like machine learning and natural language processing are being used to treat mood and mental health conditions by detecting words and variations in speech intonation.
Advanced AI-powered algorithms can help medical professionals to design smart drugs, mine medical records, as well as to recommend efficient and personalized patient treatment plans.
The digital healthcare industry can use AI tools to improve the accuracy of medical diagnoses, reduce operating costs, to auto-track medication schedules and to secure private patient data.
Most importantly, AI can optimize and standardize clinical decision-making, by measuring treatment outcomes and assisting clinicians to diagnose patients using the latest medical data.
Future growth potential for AI is endless and according to a research report by Global Market Insights Inc, the AI healthcare market is projected to exceed a value of $34.5 billion by 2027.
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