Growing healthcarechallenges, from the ageing global population to the rise inchronic diseases, limit the capabilities of healthcareinstitutions and service providers to deliver qualityhealthcare services. These challenges led healthcare providers beganexcitedly thinking about options for applying IoT tothe healthcare sector and using it to expand the quality andavailability of health services.
Amatis medical IoT platform withits set of benefits such as providing a more mature and effective solution tocollect patient data, and tracking the daily activities of patientsmeet the requirements such as:
- Advanced health system focused onmodern healthcare delivery system design
- Clinical information data set toprovide decision support
- ·A well-structured ongoing collaborationplatform 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 platform. System 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.
Receive the latest insights and findings from the Amatis team every month.