Artificial intelligence (AI) is poised to have a profound effect on the healthcare sector.
FREMONT, CA: In the healthcare industry, Artificial Intelligence has enabled healthcare institutions and practitioners to manage their workloads more efficiently and redefine their workflows. Specific tasks that AI performs in healthcare are repetitive, time-consuming, and tedious. Others are highly technical, complex, and automated to provide real-time clinical decision support. However, there are advantages and disadvantages to artificial intelligence in healthcare – no single technology can solve all of an industry's problems – and thus, AI must be implemented strategically, and expectations managed intelligently to achieve the desired results.
The benefits of artificial intelligence in healthcare
The prosperity of artificial intelligence in healthcare is well established. According to the Healthcare Information and Management Systems Society Inc. (HIMSS), artificial intelligence (AI) in healthcare has transformed clinical decision-making by providing decision-makers with critical, real-time data that diagnose patients, plan treatments, and manage population health. Some solutions can leverage insights from genomic, biomarker, and phenotype datasets and solutions that focus on radiology, pathology identification, and ophthalmology.
Some solutions are smart enough to identify potential markers on radiology images. Some solutions alleviate the administrative burden on physicians by translating clinical notes, streamlining appointments, and tracking patient notes and care recommendations. In essence, the advantages of artificial intelligence in healthcare are as numerous as the applications for which it is invented and applied.
Exchange of information
Apart from physician assistance, the benefits of AI in healthcare include data allocation and accurate medicine. AI can track specific patient data more precisely – a critical tool in large healthcare institutions such as the NHS – allowing for more precise patient care and improved doctor-patient ratios. The NHS established a national artificial intelligence lab in 2019, with health secretary Matt Hancock pledging £250 million to expand the lab's future role in the healthcare sector. In terms of precision medicine, the US National Institutes of Health reports that AI can improve outcome precision and accuracy and potentially identify patterns within patient data to predict a patient's likelihood of contracting a specific disease or illness. This level of insight can be highly beneficial to the medical profession, as it can completely streamline patient care and mitigate potential risks by addressing their underlying causes sooner. The ability of AI to read and analyse massive amounts of data is critical to realising the full potential of precision medicine.