Artificial Intelligence Systems

There are many types of artificial intelligence systems that can benefit medical and healthcare organizations. ArtificialIntelligence.health is an artificial intelligence company that is focused on finding innovative applications of machine learning in healthcare. AI software development in healthcare may use a wide variety of coding styles, from rule-based machine learning, convolutional neural networks, and recurrent neural networks, to long short-term memory, reinforcement learning, and more. Medical device manufacturers, pharmaceutical developers, medical research organizations, hospitals, medical practices, professional medical organizations, medical education institutions, health insurance providers, behavioral and mental healthcare providers, patients, and more can all benefit from artificial intelligence solutions. Below are some examples of medical AI platforms.

Artificial Intelligence in Healthcare Applications

Scheduling and patient information management systems will help hospitals and medical practices by providing better coordination of appointment scheduling and information collection along with the benefits of artificial intelligence in human resources management. Appointments and tasks can be automatically organized and reprioritized based on changing conditions and past success with various strategies.

Clinical decision support (CDS) systems represent a major potential breakthrough for deep learning in healthcare. These tools leverage electronic health records and/or other patient information to support the diagnosis and treatment of patients based on their individual symptoms and past acquired information on potential responses.

AI-automated EHR analytics systems will allow medical research organizations to automatically cross-reference hundreds to thousands of intricately interdependent patient health data variables to detect subtle health and treatment patterns that may lead to improved medical research and ultimately better treatments and treatment protocols in the future.

AI health care cost estimators will allow hospitals and medical practices to project costs of changing management and practice procedures, incorporating new equipment, adapting to changing regulations, or projecting costs for treatments of individual patients.

AI automated actuarial research may help medical insurance providers more efficiently find improvements to their healthcare plans to maximize covered care while reducing costs and overhead.

AI healthcare system analysis will allow hospitals and medical practices to have an AI health system automatically monitor key performance metrics on a daily basis and indicate potential changes that could be made to optimize workflows, thus reducing costs while improving care.

Personal mental and behavioral health management AI apps can help individuals engaged with self-monitoring of their symptoms by prompting for regular inputs on mood, thoughts, and other psychological factors, offering suggestions to meet challenges, adjusting feedback based on gathered information, and alerting mental healthcare professionals when a potential crisis may be approaching.

AI-enhanced, personalized user experience features for medical websites can help target information more specifically to website visitors based on location and other information to present the content and communication features most pertinent to them, helping secure new patients and strengthen ties to existing ones.

Automated, AI-driven social media can help medical organizations of all kinds better reach their specific targeted audiences with their message.

AI digital assistants and tutors can offer live chat and help to website visitors, or live tutoring to learners on eLearning and CME platforms. Both will rely on natural language processing; in the latter case, this will be supported by deep learning tools that improve interactions with trainees based on real-world outcomes of prior interactions.

Automated AI email tools can be used by a wide variety of medical organizations for a number of purposes. Professional medical organizations can optimize their email engagement with members. Medical education institutions can target potential students with optimized campaigns designed to increase enrollment. Hospitals and practices can source quality medical information to send to patients to encourage healthy lifestyles.

These are just some of the potential applications of artificial intelligence in medicine and healthcare. Click the links above to learn more about any individual app concept, or contact ArtificialIntelligence.health for a free consultation.