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Published on January 14th, 2020 | by Emergent Enterprise


Here are 3 Ways AI will Change Healthcare by 2030

Emergent Insight:
Healthcare professionals and facilities around the world are overburdened. In this post at World Economic Forum, Carla Kriwet reports that technology such as AI can ease the tremendous challenges ahead for the healthcare industry. It will involve opening up silos of information and smartly organizing the incredible amounts of data but it will be worth it. AI will support professionals in many different ways and prevent and recognize problems much faster and more accurately (in most cases) than humans.

Original Article:
Image: REUTERS/Regis Duvignau

  • By 2030, AI will access multiple sources of data to reveal patterns in disease and aid treatment and care.
  • Healthcare systems will be able to predict an individual’s risk of certain diseases and suggest preventative measures.
  • AI will help reduce waiting times for patients and improve efficiency in hospitals and health systems.

It’s a typically cold day in January 2030 and the peak of flu season. At this time of year a decade ago, clinics and doctor’s offices would be overflowing with sick people waiting to be seen; today, clinicians and patients move easily through the system.

So what’s changed? Connected care has become a reality, driven by years of immense pressure on global healthcare systems without enough skilled medical professionals to care for their rapidly growing and ageing populations and breakthroughs in powerful technology enablers, such as data science and artificial intelligence (AI).

AI can now reveal patterns across huge amounts of data that are too subtle or complex for people to detect. It does so by aggregating information from multiple sources that in 2020 remained trapped in silos, including connected home devices, medical records and, increasingly, non-medical data.

The first big consequence of this in 2030 is that health systems are able to deliver truly proactive, predictive healthcare.

1. AI-powered predictive care

AI and predictive analytics help us to understand more about the different factors in our lives that influence our health, not just when we might get the flu or what medical conditions we’ve inherited, but things relating to where we are born, what we eat, where we work, what our local air pollution levels are or whether we have access to safe housing and a stable income. These are some of the factors that the World Health Organization calls “the social determinants of health” (SDOH).

In 2030, this means that healthcare systems can anticipate when a person is at risk of developing a chronic disease, for example, and suggest preventative measures before they get worse. This development has been so successful that rates of diabetes, congestive heart failure and COPD (chronic obstructive heart disease), which are all strongly influenced by SDOH, are finally on the decline.

2. Networked hospitals, connected care

Alongside predictive care comes another breakthrough related to where that care takes place. In 2030, a hospital is no longer one big building that covers a broad range of diseases; instead, it focuses care on the acutely ill and highly complex procedures, while less urgent cases are monitored and treated via smaller hubs and spokes, such as retail clinics, same-day surgery centres, specialist treatment clinics and even people’s homes.

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The Emergent Enterprise (EE) website brings together current and important news in enterprise mobility and the latest in innovative technologies in the business world. The articles are hand selected by Emergent Enterprise and not the result of automated electronic aggregating. The site is designed to be a one-stop shop for anyone who has an ongoing interest in how technology is changing how the world does business and how it affects the workforce from the shop floor to the top floor. EE encourages visitor contributions and participation through comments, social media activity and ratings.

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