AI CAN SERVE BOTH THE PROVIDERS AND THE RECIPIENTS , STREAMLINING THE PROCESS AND MAKING HEALTHCARE MORE PATIENT-CENTRED .
D I S S E C T I N G B U S I N E S S medical diagnosis and natural language understanding . These features allow patients to self-diagnose instantly and accurately , after which they can be matched and connected with the right doctors if needed . This helps mitigate the pressure on healthcare infrastructures and triage the right cases to the right doctors at the right time , decreasing the probability of medical errors . During consultations with doctors , patients ’ symptoms can be extracted on the fly and diagnostic insights can be communicated to the doctors in real-time , avoiding medical errors . Finally , AI can automatically write medical notes , helping doctors reduce the time they spend on documentation tasks and enabling them to provide higher-quality care to patients .
AI CAN SERVE BOTH THE PROVIDERS AND THE RECIPIENTS , STREAMLINING THE PROCESS AND MAKING HEALTHCARE MORE PATIENT-CENTRED .
Medical diagnostic systems have become an integral part of AI , sitting at the centre of this paradigm shift as a fundamental aspect of HealthTech innovation .
In an era where information is readily accessible , we are increasingly turning to digital platforms to assess patients ’ symptoms and seek guidance on potential diagnoses . However , the reliability of the information obtained through generic search engines and large language models is often questionable , leading to misdiagnosis and unnecessary anxiety . Consequently , specialised and reliable medical diagnostic systems have become more important than ever .
Given the consequences of misdiagnoses , it is critical for AI-based HealthTech and systems to undergo rigorous research and testing using standard methodologies in science and medicine . This has been our approach at Avey : to create a peer-reviewed , reliable and accurate AI self-diagnostic model , which was extensively researched , designed , developed and tested for more than four years before it was safely launched .
AI still has a great deal of runway to transform the healthcare landscape . To achieve its full potential , however , we need a shift in how it is perceived by health professionals , who should look at it as an ally and collaborator , rather than a threat . AI ' s role in healthcare innovation extends far beyond diagnostic accuracy . AI is a leap towards a high-quality , accurate , and patient-centred healthcare system that bridges the gap of healthcare disparity . The integration of AI into healthcare systems in the Middle East not only continues the region ’ s journey towards a better healthcare system but also holds the potential to revolutionise every aspect of healthcare delivery , driving efficiency , efficacy and equity . �
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