Here's How Tech is Disrupting the Traditional Healthcare Market
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Here’s How Tech is Disrupting the Traditional Healthcare Market

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Tech is rapidly shaking up the traditional healthcare market in ways that could be described as both exciting and terrifying. Fortunately for investors, these disruptions are also creating new opportunities to solve some of the biggest health-related challenges facing the world today.

The following infographic from MW Homecare shows how healthcare is being impacted by emerging technologies and startup companies.

Here's How Tech is Disrupting the Traditional Healthcare Market

Healthcare: the big picture

Today’s healthcare industry faces many hurdles that are driving up costs. Political and economic uncertainty, an aging population, and a growing prevalence of chronic diseases are all contributing factors in the global push to find more cost-effective healthcare solutions.

The entire healthcare industry, from insurance providers to drug manufacturers, is seeking opportunities to reduce costs through modern technologies. This is playing into a wider trend towards a more personalized and efficient approach to healthcare. For investors, some of the most interesting crossroads between technology and healthcare may be found in big data, cybersecurity, developing markets, and strategic partnerships.

Big data

The collection and storage of large amounts of medical data, made possible by recent technological advancements, is helping healthcare professionals improve the quality of medical care, from research to diagnosis and treatment.

Investor interest in digital health startups that use big data to improve the efficiency and effectiveness of healthcare is increasing. These companies attracted $5.8 billion in funding in 2015, according to CB Insights – an increase of 20% over the previous year.

Cybersecurity

While technology is disrupting the healthcare industry in many positive ways, it’s also creating new challenges that will need to be addressed with greater urgency moving forward. One issue is the world’s growing reliance on cloud-based technology, which can place personal medical data at risk of security breaches.

Cyberattacks and IP theft are a growing threat to healthcare companies. According to Deloitte’s 2016 Global Life Sciences Outlook, in 2011 the U.K. government claimed that its life sciences and healthcare industry suffered $2.9 billion in losses due to IP theft.

Investment into cybersecurity technology has grown by 235% over the last five years, reaching a total of $3.9 billion in 2015 alone, according to CB Insights.

Developing markets

Currently, each country has its own complex regulatory and compliance systems which act as gatekeepers in the development of medical products. While these systems are necessary in order to ensure the safety and credibility of products before they go to market, they often clash with technology’s rapid pace of innovation.

Although the U.S. has been a leader in health tech innovation, current regulatory and compliance models tend to hold back progression. Digital health companies face heavy regulations in the U.S., which is causing investors to seek out new opportunities in developing markets such as China and India – two nations facing extreme healthcare costs against a backdrop of large aging populations and a rapid increase in chronic diseases such as cancer and diabetes.

China, with more than 185 million residents currently over the age of 60, is set to become the world’s most aged society by 2030. The Chinese government has responded to this looming economic threat by opening up opportunities for private foreign investment into its healthcare sector. As part of China’s recently implemented 13th Five-Year Plan, foreign senior care operators are now permitted to set up wholly–foreign owned enterprises (WFOE) in China, and are eligible to receive tax incentives, administrative fee exemptions and deductions and waivers. Chinese health companies are also seeking opportunities in foreign health technologies that will help China meet its domestic healthcare needs.

Strategic Partnerships

A trend that has been occurring with more frequency in recent years is the establishment of partnerships between tech giants and healthcare startups. For example, by partnering with Epic Systems in 2014, Apple’s Healthkit platform was able to integrate substantial amounts of patient data to leverage its digital health and tracking technologies.

Mergers and acquisitions within the digital health tech space have also been steadily growing over the last few years. In fact 2016 has been a record-breaking year for digital health tech M&A, with 41 deals in total – a solid increase over 2015’s total of 36 deals and 2014’s total of 33 deals. Many of these mergers and acquisitions are strategic moves by healthcare retail companies looking to build up their marketing presence and customer interaction platforms.

As technology continues to act as a catalyst for rapidly changing market dynamics within the healthcare industry, it is likely that strategic partnerships, co-investments, and M&A will continue to be key drivers of growth.

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Infographic: Generative AI Explained by AI

What exactly is generative AI and how does it work? This infographic, created using generative AI tools such as Midjourney and ChatGPT, explains it all.

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Generative AI Explained by AI

After years of research, it appears that artificial intelligence (AI) is reaching a sort of tipping point, capturing the imaginations of everyone from students saving time on their essay writing to leaders at the world’s largest tech companies. Excitement is building around the possibilities that AI tools unlock, but what exactly these tools are capable of and how they work is still not widely understood.

We could write about this in detail, but given how advanced tools like ChatGPT have become, it only seems right to see what generative AI has to say about itself.

Everything in the infographic above – from illustrations and icons to the text descriptions⁠—was created using generative AI tools such as Midjourney. Everything that follows in this article was generated using ChatGPT based on specific prompts.

Without further ado, generative AI as explained by generative AI.

Generative AI: An Introduction

Generative AI refers to a category of artificial intelligence (AI) algorithms that generate new outputs based on the data they have been trained on. Unlike traditional AI systems that are designed to recognize patterns and make predictions, generative AI creates new content in the form of images, text, audio, and more.

Generative AI uses a type of deep learning called generative adversarial networks (GANs) to create new content. A GAN consists of two neural networks: a generator that creates new data and a discriminator that evaluates the data. The generator and discriminator work together, with the generator improving its outputs based on the feedback it receives from the discriminator until it generates content that is indistinguishable from real data.

Generative AI has a wide range of applications, including:

  • Images: Generative AI can create new images based on existing ones, such as creating a new portrait based on a person’s face or a new landscape based on existing scenery
  • Text: Generative AI can be used to write news articles, poetry, and even scripts. It can also be used to translate text from one language to another
  • Audio: Generative AI can generate new music tracks, sound effects, and even voice acting

Disrupting Industries

People have concerns that generative AI and automation will lead to job displacement and unemployment, as machines become capable of performing tasks that were previously done by humans. They worry that the increasing use of AI will lead to a shrinking job market, particularly in industries such as manufacturing, customer service, and data entry.

Generative AI has the potential to disrupt several industries, including:

  • Advertising: Generative AI can create new advertisements based on existing ones, making it easier for companies to reach new audiences
  • Art and Design: Generative AI can help artists and designers create new works by generating new ideas and concepts
  • Entertainment: Generative AI can create new video games, movies, and TV shows, making it easier for content creators to reach new audiences

Overall, while there are valid concerns about the impact of AI on the job market, there are also many potential benefits that could positively impact workers and the economy.

In the short term, generative AI tools can have positive impacts on the job market as well. For example, AI can automate repetitive and time-consuming tasks, and help humans make faster and more informed decisions by processing and analyzing large amounts of data. AI tools can free up time for humans to focus on more creative and value-adding work.

How This Article Was Created

This article was created using a language model AI trained by OpenAI. The AI was trained on a large dataset of text and was able to generate a new article based on the prompt given. In simple terms, the AI was fed information about what to write about and then generated the article based on that information.

In conclusion, generative AI is a powerful tool that has the potential to revolutionize several industries. With its ability to create new content based on existing data, generative AI has the potential to change the way we create and consume content in the future.

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