2021 AI in Healthcare Survey Report

By Ben Lorica and Paco Nathan.

Applications of AI in Healthcare ​pose a number of challenges and considerations which differ substantially from other business verticals. We conducted an industry survey specifically about AI in healthcare, to understand more about current trends and issues. A total of 373 respondents from 49 countries participated in the survey. A quarter of all respondents (27%) held ​Technical Leadership​ roles. This survey was conducted in collaboration1 with John Snow Labs.

Here are a few highlights:

  • Foundational technologies​: When asked what technologies they plan to have in place by the end of 2021, close to half cited data integration. About one-third cited natural language processing, and business intelligence among the technologies they are currently using or plan to use by the end of the year.
  • Users of AI Technologies​: When asked who the intended users are for AI tools and technologies, over half of all respondents signalled Clinicians among their target users.
  • Software for Building AI Solutions​: The most popular forms of software being used to build AI solutions in healthcare are open source software (53%) and public cloud providers (42%). Looking ahead 1-2 years, respondents indicated openness to also using both ​Commercial Software​ and ​Commercial SaaS​.

For more on how leading Healthcare, Biotech, and Pharmaceutical companies are building AI and Machine Learning products and services, download the full report by filling out the form below.

2021 Report: AI in Healthcare
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[1] This survey is part of a collaboration between Gradient Flow and John Snow Labs. See our Statement of Editorial Independence. This was an online survey which ran for 83 days (closing on February 28, 2021).
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