Natalia Sniadanko

In 2021, we saw a revolution in the digital space as businesses continued to move their services online. This change has opened many new doors of opportunities for businesses in the digital market space. We see retail, automobile, and insurance industries quickly adopting solutions that offer automation and AI. The healthcare sector is no exception.

The coronavirus pandemic has accelerated the development of biotechnology and the entire medical field. Big data helps to research more efficiently, to diagnose more quickly, and to treat more effectively. Machine learning and data analysis in medicine allow you to create data warehouses and services, update and optimize the infrastructure of registries, and engage in advanced research in evidence-based medicine, pharmaceuticals, and pharmacology. Still, some things could be improved with big data in medicine.

What is computer vision in healthcare? Different industries, including medical care, widely use Artificial intelligence (AI) and machine learning (ML) tools. One of the essential characteristics of AI-powered technologies is the possibility to identify, understand, and maintain visual data. This technology is called Computer Vision (CV).The essential goal of Computer Vision in healthcare is to enable computers and systems to pull out valuable information from digital assets like photos, videos, and other data — and to act on or make recommendations based on that data.

Electronic Health Record system (EHR) is the standard practice in hospitals today. But it doesn’t mean that all problems have been solved for healthcare professionals. Besides the great benefits of the care delivery automation, now, for each hour spent in contact with patients, physicians spend another hour operating an EHR, which often takes their personal time and leads to burnout.

Healthcare digital transformation has been a boon over the last time. According to statistics, the global market for digital healthcare transformation will grow from $76 billion in 2018 to $210 billion in 2025. Providers adopt new technologies that change the healthcare industry rapidly and help to improve patients’ outcomes.

Artificial intelligence and ML-based solutions are changing medical care. Healthcare AI solutions are a reality in many fields and specialties of medical help. Machine learning (ML), deep learning (DL), natural language processing (NLP), and AI identify healthcare needs and help work faster, and with more accuracy. They use data patterns to make informed medical or business decisions quickly.

An electronic health record (EHR) is a digital version of a patient’s paper medical chart and is crucial to maximizing profits while providing the highest quality of care. The implementation process can take time and be costly, but the benefits compared with paper records far outweigh the costs of electronic medical records. To help your organization adopt an EHR system quickly and efficiently, you have to include your staff in the decision-making process. This article describes how to develop and effectively implement EHR software and how much does an EHR system cost.

COVID-19 has been the hot topic for us over the last months, but now it looks like we are returning to something like a new reality. The whole world is searching for ways to prepare for this. And, of course, employers need help to enable their employees to a safe work environment as possible.

Can technology help us in the fight against the virus? There are already a lot of solutions developed to protect people from getting infected. For example, the “Stop Corona” app from the Austrian Red Cross society. It keeps an anonymous contact diary that logs personal encounters using a “digital handshake.” If somebody has symptoms of COVID-19, all those who “have digitally shaken hands” with that person will be automatically informed about one of their anonymous contacts showing signs of an infection. All these people are asked to isolate themselves to reduce the infection’s risk. This way, fewer people will be exposed to potential diseases. Additionally, this system supports and relieves doctors who would otherwise have to go through this process manually.

Most of us never think about our breathing; it’s just something we do. For example, research by Lung Foundation Australia shows that almost half of all Australians rarely or never think about their lung health. Despite this, almost two-thirds of Australians reported that they had experienced at least one lung-related health issue. People often assume that there are symptoms of aging or lack of fitness. Any problem that prevents the lungs from working properly is called lung disease – this may be lung circulation, lung tissue, or a disease of the airways. There are over 30 arts of lung disease, beginning from influenza and asthma to occupational lung disease and lung cancer. And don’t forget about COVID-19 pandemic!

Poor systems deliver poor results, and, in the case of US healthcare, the pile of problems has been growing for years. From lack of transparency to high costs and administrative inefficiency, the system has created an environment where patients and medical staff suffer. During the global pandemic of COVID-19, all of those pain points have only intensified and got worse.

According to the analytical agency Frost&Sullivan, the market for digital medical solutions in 2021 amounted to $6 billion. At the same time, annual growth approached the 40% mark. This means that in the world’s developed countries, there is a significant growth in electronic medical records, the possibility of remote patient management, and the sale of medicines via the Internet.