Artificial Intelligence in Point-of-Care Testing.

With the projected increase in the global population, current healthcare delivery models will face severe challenges. Rural and remote areas, whether in developed or developing countries, are characterized by the same challenges: the unavailability of hospitals, lack of trained and skilled staff performing tests, and poor compliance with quality assurance protocols. Point-of-care testing using artificial intelligence (AI) is poised to be able to address these challenges. In this review, we highlight some key areas of application of AI in point-of-care testing, including lateral flow immunoassays, bright-field microscopy, and hematology, demonstrating this rapidly expanding field of laboratory medicine.

Catering for the Point-of-Care Testing Explosion.

The ease of performing a laboratory test near to the patient, at the point-of-care, has resulted in the integration of point-of-care tests into healthcare treatment algorithms. However, their importance in patient care necessitates regular oversight and enforcement of best laboratory practices. This review discusses why this oversight is needed, it's importance in ensuring quality results and processes that can be placed to ensure point-of-care tests are chosen carefully so that both oversight can be maintained and patient care is improved. Furthermore, it highlights the importance of delivering focused webinars and continuing education in a variety of formats.