Current healthcare trends (described in detail in our previous article) suggest several paths that telemedicine may take in the long term. New developments in AI technology and big data analysis allow for automation and improvement in areas such as:
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The global healthcare market is changing, along with healthcare costs and patient demographics. The overall healthcare spending is expected to rise at a CAGR of 5% between 2019 and 2023 and the market’s predicted value for 2020 is more than $2 trillion. Because of this growth and a number of emerging challenges, healthcare needs to leverage innovative solutions to meet the needs of patients. Let’s take a look at the major technological trends shaping the industry in 2020.
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Will telemedicine applications become the new normal? In the face of the COVID-19 pandemic, more medical practitioners and health organizations worldwide are rushing to adopt telemedicine solutions. According to Ray Dorsey, director of the Center for Health and Technology at the University of Rochester, the number of virtual patient consultations in the US increased tenfold within two weeks (in comparison to the pre-COVID-19 situation). Kaiser Permanente, the health maintenance organization, managed to reduce in-person visits to its specialty doctors by 40% thanks to the use of telemedicine.
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Telemedicine uses the internet to connect patients and care providers, allowing for more immediacy, convenience, and personalization of healthcare services. It introduces new possibilities to traditional healthcare systems, which affects the popularization of telemedicine and other areas of telehealth.
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The healthcare software landscape According to a 2019 industry forecast by Meticulous Research, the healthcare IT market is expected to grow at 13.8% CAGR (Compound Annual Growth Rate) between 2019 and 2027, to reach a value of $511 billion.
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How Robots Are Supporting Healthcare In The Fight Against COVID-19 – Interview With Gal Goren
Katarzyna Wolska
With the rapid spread of COVID-19, healthcare in many countries has been stretched to its limit. A number of medics have already been infected with SARS-CoV-2, and countless more continue to risk that they contract and spread the disease on a daily basis when providing care. Minimizing contact between patients and frontline staff is critical, but it’s also a significant challenge for healthcare providers to achieve.
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Some of the Deadliest Diseases Can Be Prevented by Using Modern Technology Solutions – Interview with Michał Sosiński, CEO at Soma Healthcare
Natalia Chrzanowska
Machine learning solutions have been used in healthcare for decades, but they only became popular a few years ago, mostly due to developments in deep learning. According to PwC, in the next four years, the market for AI in healthcare will grow from $760 million to $6 billion.
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The AI-powered solutions have a massive potential in healthcare. Computers equipped with software based on convolutional neural networks are better at detecting skin cancer than experienced dermatologists, and Deep Learning beats radiologists in diagnosing pneumonia.
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Artificial Intelligence (AI) can bring more benefits to healthcare than to any other industry. However, until recently the progress here has been slower than in other fields - such as finance or e-commerce. Luckily, this has changed lately. With significant investments, we can see an outburst of machine learning applications that should lead to medical revolutions in many fields.
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Intelligent Medical Diagnostics – How Artificial Intelligence and Machine Learning Improve Disease Detection Rates
Michał Dyzma
In healthcare, getting the diagnosis right – and getting it in time – is key to any successful treatment. It’s a matter of utmost importance, as revealed in the research on postmortem examinations: diagnostic errors are responsible for about 10% of patient deaths in total. The study also suggests that these errors contribute to 6-17% of all adverse events in hospitals.
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