The global healthcare sector will be using artificial intelligence to improve healthcare delivery and customer experience.
Because AI (artificial intelligence) start-ups will have greater impact on healthcare delivery, annual spending on CAD (computer aided diagnosis) systems will reach $800 million by 2022.
Improved accuracy and usability of CAD systems will result into faster and more accurate diagnoses for patients, as well as reduced pressure on doctors. By 2022, 28.4 million chronic disease scans will be fed into first-line CAD systems annually, according to Juniper Research.
Healthcare sector is using AI in use cases such as chatbots, understanding patients’ symptoms or interpreting genomic data sets.
The use of AI for CAD systems was still the most compelling as it can generate significant cost savings, forecast at $126 million for first-line CAD systems in 2022.
Healthcare segment will be using AI in Big Data analytics solutions, allowing the processing of more complex datasets, such as doctors’ notes in an electronic health record. AI, EHR systems and analytics platforms will increasingly be integrated into one system.
AI faces significant challenges. There is a perceived issue with trust, largely resulting from the so-called ‘black box’. AI is unable to demonstrate how it has arrived at a decision. AI companies should demonstrate high levels of public engagement and independent verification to ensure data is being handled in the correct way.
Meanwhile, the mHealth market is expected to reach $111.8 billion by 2025, growing at a CAGR of 44.2 percent, according to a new report by Grand View Research. The need to reduce long waiting periods in order to access health care facilities from specialists is the primary driver responsible for the adoption of mHealth.
