AI technologies have been accelerating the healthcare industry rapidly which was a mere dream a few years ago. Over a single year, the AI research has progressed so swiftly that the potential timeline to revolutionize patient care has been blown away.
Artificial intelligence is no more considered as something lingering on the distant horizon. Many AI technologies are ready to fundamentally alter the Health care system in no time.
The AI will be revolutionizing the healthcare industry that will include everything from clinical decision support mental healthcare to coding and communication, offering patients and their providers a more efficient, effective, and cost-conscious ecosystem for improving long-term results.
The Artificial intelligence integral components that will turn out to bring the greatest potential impact are mentioned below that will determine the next decade’s data-driven care delivery system.
AI Technologies in Healthcare
AI Technologies Narrowing The Gaps In Mental Healthcare
A large number of individuals struggle from mental health disorder and the treatment is often difficult to access and afford. Artificial intelligence is reducing the barrier and has delivered the revolutionized approach to connect patients with their required services.
There are AI-driven, smartphone-based apps that help in cognitive behavioral therapy and integrated group therapy. This helps the patient in treating various conditions including depression, eating disorders, and substance abuse.
Many AI researchers are rigorously validating and testing applications that are showing promising results.
Streamlining Workflows With Voice-First Technology
In several clinical workflows, natural language processing is getting a common ritual now. These tools are planning to penetrate the patient-provider encounter in a new way yet.
With the Smart speakers are already being practiced in the clinics to minimise the EHR burdens, capturing free-form conversations and translating the content into structured documentation. With this, the nurses and the doctors will be able to retrieve and accumulate information efficiently while spending more time coordinating with the patient.
Big giants like Amazon are coming up with their consumer-facing products where the consumers will be able to work with more robust options for voice-first chronic disease management and patient engagement.
Mobile Coaching Solutions
With the practice of mobile coaching solutions, patients can be advised and get improved and efficient treatment using real-time data collection. In recent years, this has been a big push in the field of telemedicine.
Several companies are employing artificial intelligence in their system to come up with the solutions for minor diagnosis within smartphone apps.
This AI-based system allows us to analyze large amounts of patient data. By retrieving the information, better treatment options for the patients can be identified. To support the process, the cloud-based systems are used to process normal language.
Revolutionizing Acute Stroke Care
Any patient undergoing the condition of strokes, every second matter. In the developing world regions, access to skilled stroke care can take hours which can result in significant long-term disability or death.
With the use of artificial intelligence, we can close this gap. AI can help analyze and study high-quality images. Strokes can be conveniently identified through this and also the location of the clot or bleed. Several AI research teams are working on similar AI-driven tools. With their help, automated detection of the strokes will be made possible. They will also be capable to support decision-making around the appropriate treatment for the patient’s needs.
Low-resource areas and especially the rural areas can highly benefit from this development. These AI algorithms can compensate for the lack of expert physicians and diagnostics on the site. This procedure will ensure that every patient undergoing the condition will have access to the best possible chance of medicine, care, treatment, and recovery.
AI has focused target on pattern recognition and time-saving practices when working for identification, drug discovery, and testing.
With the similar pace of practicing Artificial intelligence in the healthcare industry especially, it will reach the next level of performance and results. AI will deliver a more streamlined process in the healthcare industry that will result in the augmented satisfaction of patients and reduced error diagnostics.
By performing effectively and efficiently, this will result in a cost-saving of the industry as well. Only by executing new technologies, it is conceivable to modify services resembling patient’s requirements.
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