How Will AI Continue to Shape Healthcare in 2022? 9 Predictions to Watch

We have reached an inflection point for the adoption of tools such as natural language processing (NLP) that help organizations manage large sets of unstructured data. One factor driving demand for such technologies is the pending Patient Access rule deadline requiring the interoperability of full-text medical records. Payers particularly recognize that they will soon be flooded with unstructured data that must be managed to effectively inform patient care, meet value-based care goals, and drive predictive algorithms that improve outcomes. The growing presence of big tech and cloud vendors in the text analytics space has also raised overall awareness about these tools, which are increasingly available for easy and convenient consumption through cloud-based approaches instead of large-scale software deployments. Finally, the pandemic has impacted healthcare in many ways, including increased acceptance and demand for cloud-based technologies, which have enabled users to access and manage data remotely.