Google Cloud might be chiefly attractive to hospitals optimistic about using AI to improve their doctors' increasing admin nuisances.
FREMONT, CA: Google Cloud recently pulled back the screen on its Artificial Intelligence (AI) platforms that will use Natural Language Processing (NLP) to counter some of the issues connected with sifting through healthcare data, patient records, and reading unstructured text.
Here is a categorization of the technology giant's new AI contributions and how they address key healthcare challenges:
• Healthcare Natural Language API will recognize medical insights in clinical text and extract pertinent points, including data about procedures, meds, and medical conditions. For instance, telehealth vendors can use this solution to obtain the most appropriate information—like medications and symptoms—from a transcribed provider-patient discussion, helping doctors to spend less time with paperwork and more time with their patients.
• AutoML Entity Extraction for healthcare provides a low-code interface that makes it easier for healthcare professionals to develop their extraction tools for applications such as finding gene mutations. This feature is good news for researchers or providers who may not have the technical ability to design their AI extraction tools, speeding up procedures that need sifting through several documents like clinical trials.
Google has been placing itself as a valued health partner in the past year, and its new-fangled AI tools must help it grab an even larger portion of the expanding healthcare cloud market. Its new tools should make Google an even more striking cloud partner, as healthcare systems are growing progressively confident about the ROI of AI. The projected ROI of AI in healthcare declined to 3.6 years in 2020, down from 4.7 years in 2019.
Google Cloud might be chiefly attractive to hospitals optimistic about using AI to improve their doctors' increasing admin nuisances. The U.S. healthcare system's rate of doctor burnout has risen quickly over the past years and will only be compounded by the scarcities of primary care and specialty care doctors.
Since healthcare executives are keen on AI investments, one can expect to see more NLP technology employed in hospitals next year. As per a survey, 45% of hospitals say they are most interested in executing AI to review documentation and help with coding.