Blog > AI in Healthcare

Amatis impacts the future of healthcare by integrating medical IOT & AI  

Growing healthcare challenges, from the ageing global population to the rise in chronic diseases, limit the capabilities of healthcare institutions and service providers to deliver quality healthcare services. These challenges led healthcare providers began excitedly thinking about options for applying IoT to the healthcare sector and using it to expand the quality and availability of health services. 

Amatis medical IoT platform with its set of benefits such as providing a more mature and effective solution to collect patient data, and tracking the daily activities of patients meet the requirements such as: 

  • Advanced health system focused on modern healthcare delivery system design 

  • Clinical information data set to provide decision support 

  • A well-structured ongoing collaboration platform for a multidisciplinary team 

In the Amatis ecosystem, the Internet of Things provides means of communications, sensing and human computer interaction technologies targeted at diagnosis, monitoring patients without disturbing the quality of lifestyle. IoT wearables are being utilized to monitor the health condition of chronic patients, take readings, observe patterns, and send notifications. This data can be used for diagnosis, improve treatment, and enhance health service. 

Data from the Internet of Things platform promise smarter decision models to go beyond traditional reporting and analytics for the healthcare industry. Amtatis’ end-to-end solution provides active engagement of patient, hospitals and doctors 

The rise of data in healthcare led AI to be increasingly applied within the field. Several types of AI are already being employed by the Healthcare stakeholders. Expert systems, dominant technology in 1980s,  require human experts to construct a series of rules in a particular domain expertise. However, when the number of rules is large and the rules begin to conflict with each other, they tend to break down. Moreover, if the knowledge domain changes, changing the rules can be difficult and time-consuming. They are slowly being replaced in healthcare by approaches based on machine learning algorithms.  

Tech companies and research labs put immense effort to  develop an AI approach to diagnose a disease with equal or greater accuracy than human clinicians. AI-based diagnosis are sometimes challenging to embed in clinical workflows. Such  integration issues might be a barrier to broad implementation of AI.  

Amatis provides an approach to break those barriers by integrating IoT & AI on a single platformSystem communicates an ECG Recorder which is a wearable medical device that registers heart rhythm to fetch the electrocardiogram (ECG). State of the art AI algorithms detect heart beats and classify them to provide decision support to cardiologists. Powered by a web based portal, system allows long-distance patient and clinician contact, advice and collaboration. 

The Internet of Things & AI in healthcare promise a better future. With enhanced data regarding patients the chance of diagnosing and curing diseases are higher than ever. AI systems will not replace doctors and clinicians, but rather will augment their efforts to care for patients. Amatis will always be committed to provide smart decision support systems for healthcare professionals.