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Integration of Artificial Intelligence and Cloud-based Computing
Recent technological developments and advancements have showed that the point-of-care testing products and services have started the adoption and integration of artificial intelligence and cloud-based systems so that the results of the tests conducted through the point-of-care products can be used for analysis as well as storage of test results, which will help in better and personalized treatment options and enhancement of medical records of the patients with healthcare providers.
Major point-of-care testing products manufacturers have started the implementation of cloud-based storage systems that store the conclusion/results of tests conducted through their products. On top of that, many companies have also started implementing artificial intelligence and providing this service to their consumers in the form of software/applications on their smartphones and smart devices. Through this provision, patients and consumers can be properly diagnosed and the results can be analyzed through the help of artificial intelligence.
Connectivity Capabilities in Point-of-Care Testing
Integration of connectivity solutions and capabilities in point-of-care has been in major demand so that the healthcare providers can keep a better record and can view the results of these point-of-care testing at any point of time on their servers. Tests conducted by various healthcare providers can be recorded if the point-of-care testing products are equipped with the connectivity capabilities. These test results are then kept in a systematic record like in any laboratory, where this maintenance of records helps in maintaining the quality in provision of healthcare, management of patients, and oversight of treatment being provided.
Recent advancements have shown that the products under development still and some which have already been commercialized have been installed with Bluetooth and Wi-Fi connectivity which enables the devices to send these results directly to the LIS/HIS (Laboratory Information Systems/Hospital Information Systems) as well as show the results on the device itself.
Reduced Size of Samples Required
Laboratory testing involves taking a large amount of samples from the patient, which is then used in various diagnostic testing and in various devices and equipments. Point-of-care testing is used for a significant reduction in the size and amount of sample required and extracted from the patients for the same amount of tests conducted. Through this method, patients do not have to provide large samples and are able to get similar results with the implementation of this method in a significantly reduced amount of time. The developments in the market have resulted in innovative product launches by the major manufacturers of these devices.
Point-of-Care Testing for Animals
Growth of the agricultural and animal husbandry segments globally has resulted in diagnostic capabilities and point-of-care testing applications for the detection of diseases and disorders ailing the various animals. Demand for better quality products related to animal husbandry in the market has resulted in proper diagnosis for diseases and ailments in animals. This requires the need for rapid diagnostic methods so that the farmers can have the results within a short period of time, and reduced amount of costs related to the overall testing and farming practices. Once they obtain these results, they can go on to proceed with the correct course of action.
Conclusion
Although the developments and advancements in the market have resulted in significant increase in applications of point-of-care testing and subsequent developments in trends of products and services related to point-of-care testing. These launches and innovations of products and services are expected to increase the value of the market and significantly affect the demand for rapid diagnosis.
