Significant technological advancements are being made across all industries, with artificial intelligence (AI) in particular making an impact in healthcare communications.
In fact, investment in AI for drug discovery reached $5.2 billion in 2021, and McKinsey predicts that overall investment in AI will reach $13 trillion by 2030.
But what is this technology capable of, and how can healthcare companies effectively harness it?
AI technology encompasses a range of languages, such as machine learning (ML), natural language processing (NLP), and deep learning (DL), all of which are playing a key role in healthcare communications.
These advancements are more than a fad; these tools are already being used to help healthcare providers analyze patient data to identify patterns and make more informed treatment decisions.
However, there are limitations to this technology. In many cases, patient data is fragmented, calling for specific expertise and time-intensive processes to extract its full value.
But, once harnessed correctly, these data-driven AI systems can bring significant benefits. They can monitor the behavior patterns of users to offer more personalized messages across multiple sales, marketing, personal, and non-personal communication channels to reach their specific audience.
By working with the right healthcare partner, companies can extract the full value of their patient data to get richer insights and make treatment decisions faster.
Overall, the use of AI technology in the healthcare industry is helping to improve communications with patients and enabling healthcare professionals to make more informed decisions that lead to better patient outcomes.
As AI continues to evolve and advance, we can expect to see even more impressive developments in the field of healthcare communications in the near future.
Read more about the impact of AI in healthcare communications in our piece with PharmaFocus: https://en.calameo.com/read/0061133852d2e13c362c5?page=15
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