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Top 4 AI Use Cases in Healthcare: Examples and Applications

Top 4 AI Use Cases in Healthcare: Examples and Applications

Published on: 10 Jul 2024 7 min read

Artificial intelligence (AI) has started to take over healthcare, just like about any other major industry domain. The AI revolution is seen by most as the dawn of a new era of innovation and has already put a stamp on patient care, disease management, and clinical decision-making.

Top 4 AI Use Cases in Healthcare: Examples and Applications

From AI-driven diagnosis and treatment and medical imaging analysis to drug discovery and vaccine research, AI technologies are evolving together with the whole healthcare landscape and the quality of patient outcomes. This article explores 4 of the most common use cases of AI in healthcare: AI-powered virtual assistants, medical education, learning and training, streamlined administrative tasks, and AI-enabled telemedicine.

AI-Powered Virtual Assistants

Increasing the level of patient engagement and adherence efficiency is critical to enhancing the quality of modern healthcare. Of course, there have been traditional means of patient communication and education that however have been found wanting. That is why healthcare has long been in dire need of a groundbreaking solution to rewrite all the rules and alter the process of interaction between healthcare providers and patients. 

AI-powered virtual assistants utilize natural language processing (NLP) and conversational AI technologies to achieve natural and intuitive communication with patients. Their friendly tone of communication facilitates patients’ comprehension of personalized advice, asking questions, and navigating through complex treatment plans.

AI-powered virtual assistants can monitor patients' vital signs, issue alerts to healthcare providers, and guide patients through medication administration.

Virtual nursing assistants can remotely monitor patients’ vital signs, issue alerts to healthcare providers whenever necessary, and guide patients through medication administration. Such solutions improve patient engagement, relieve the workload of healthcare professionals, and free up resources. This way, they can focus on more urgent tasks that require the physical presence of experts. AI-powered chatbots have also become irreplaceable when it comes to communicating sensitive topics like sexual health or planned parenthood, especially with teenagers.

Medical Education, Learning and Training

AI solutions have also been dramatically transforming medical education. AI-powered learning platforms and simulations are currently revolutionizing knowledge acquisition, skill development, and preparation for real-world scenarios.

For example, AI algorithms power virtual reality (VR) simulations that recreate realistic medical scenarios. This enables medical students and professionals to rehearse complex procedures, acquire decision-making skills, and build valuable experience in a controlled environment.

AI-powered adaptive learning platforms can also fine-tune educational content and learning methodologies to enhance each learner’s strengths, address their weaknesses, and accelerate their progress. Machine learning algorithms enable such platforms to analyze performance data and identify shortcomings and areas of development. Giving recommendations and personalized feedback inevitably improves the overall learning experience.

Healthcare education platforms with AI-driven virtual assistants and chatbots facilitate collaborative learning. They also enable students to access information and answer complex questions. Patient interaction simulations mean that such assistants enable medical students to work on their communication skills and develop empathy. This will make them much better professionals when practicing patient care in real life.

The entire healthcare industry can only benefit from AI making its mark on medical education as it leads to an unprecedented improvement in training quality. As a result, the upcoming generations of healthcare professionals will be at ease with utilizing AI technology in natural and creative ways in their clinical practice and boost patient care evolution.

Streamlined Administrative Tasks

Patient record management, claims processing, revenue cycle management, medical coding… The list of administrative tasks that take up a formidable chunk of healthcare institutions’ resources is endless. Besides wasting the medical professionals’ priceless time, such tasks have always been a source of costly and reputation-damaging human errors.

The implementation of robotic process automation (RPA) and natural language processing (NLP) in medical coding and claims processing streamlines the ponderous and ineffective administrative processes, vastly improves accuracy, and frees up resources for patient care.

For example, some AI-powered platforms automate the medical billing-related process of evaluation and management (E&M) coding. Such solutions analyze patient records, create streamlined workflows, and generate well-organized documentation to ensure compliance and minimize administration-related expenses. 

AI-driven solutions can also improve self-pay processes and warn patients when they unknowingly approach getting into debt. These tools utilize micro-segmentation capabilities to monitor the patient’s bills and their ability to cover the payments. This means uncompensated healthcare is technically impossible. 

Reducing healthcare costs, operational excellence, and resource redirection to improve the quality of patient care and drive innovation—the impact of AI technologies on administrative domains is just too significant to ignore.

AI-Enabled Telemedicine

Easy access to healthcare services, especially in remote areas, has never been as critical as during the COVID-19 pandemic. AI-powered telemedicine has leveraged cutting-edge innovation to rewrite the rules, completely overhaul the domain, and facilitate access to professional care.

AI-powered telemedicine has leveraged cutting-edge innovation to facilitate access to professional care even in remote and underserved areas.

Telemedicine apps enable real-time consultations and recommendations for non-critical conditions and expand the range of patients that can take advantage of medical expertise. These applications often incorporate speech processing to enable patient engagement in organic conversation and receive quick and professional advice. 

Virtual nurses and healthcare assistants are also among the most popular telemedicine solutions. They assist patients in gathering important information, scheduling appointments, and monitoring treatment progress. Furthermore, such AI-driven assistants are critical for improving the allocation of medical facility resources.

The evolution of AI-powered telemedicine systems shows that they are very likely to continue transforming remote patient monitoring by enabling vital signs tracking and analyzing medical data. Better decision-making will also eliminate the need for personal visits. This is critical for taking timely measures and decreasing the risk of complications when monitoring chronic conditions remotely.

Other Use Cases of AI in Healthcare

  • AI-Driven Diagnosis and Treatment Solutions for analyzing gigantic volumes of patient data such as medical records, imaging scans, genetic information, etc. Such AI platforms utilize ML algorithms to discover complex patterns and anomalies even the best professionals might struggle to detect. The unparalleled precision of diagnostics empowers physicians to perform timely and potentially life-saving interventions, as well as create personalized treatment plans. 
  • Medical Imaging Analysis platforms that leverage deep learning algorithms and computer vision techniques. Their immaculate precision helps identify even the smallest of abnormalities or deviations from the norm. Their speed also facilitates early detection and diagnostics that can save lives.
  • Drug discovery and vaccine research have also benefited immensely from the emergence of AI-driven platforms. These systems take minutes to process vast data volumes, identify alternative uses of existing medicines, and utilize numerical evidence to predict the effectiveness of drugs in development. This accelerates the whole drug discovery process, makes it more efficient, spares resources, and reduces research and development costs.

How Critical Can a Technology Partner Be for AI Implementation? 

AI implementation is not straightforward and typically proves costly without an experienced technology partner whose expertise can make all the difference.

The Scalefocus AI team knows the variety and caliber of AI challenges, so we can solve potential issues and fully exploit its capabilities. Guiding our partners through the AI adoption process helps them achieve measurable and impressive results in short periods.

Such results are largely due to our Scalefocus AI Adoption Framework and its structured roadmap. From recognizing the opportunities that can be explored to ensuring a seamless AI implementation journey – our experts will support you in preparing your staff, infrastructure, and data for the big step. From then on, the potential is virtually limitless.

The Scalefocus experts gladly consult our existing and potential partners about the expenses and cost structure related to AI adoption. This means the investment strategies and ROI targets are always clear, and the objectives and resource optimization are achievable. We also provide ready-to-use AI tools that enable self-service approaches through AI. 

Conclusion 

AI-powered virtual assistants, medical education, learning and training, streamlined administrative tasks, and AI-enabled telemedicine – these are among the top use cases of AI in healthcare and are all represented in our portfolio. 

Scalefocus is fully aware that the artificial intelligence revolution is no longer just a chapter in science fiction books — it is a true story happening in our lives. Being part of it is the only viable choice for businesses whose ambition is to remain relevant, and healthcare organizations are no exception.

Just the opposite — leveraging the combined superpowers of life sciences and innovative technology not only makes healthcare providers competitive in a dynamic market but empowers medical professionals to provide personalized and data-driven patient care.

The unbeatable combination of artificial intelligence and human expertise is what drives innovation in modern healthcare, so do not hesitate to contact our consultants! Let’s discuss all things AI and how Scalefocus can make your AI integration journey as smooth as it gets, we look forward to hearing from you!

About the Author:

Krasimir Kunchev

Krasimir Kunchev

Senior Content Writer

Kras is a true musical force-turned-copywriter. What can we say? Multitalented people do exist, and we got them! He’s been on stage since the mid-nineties when punk rock was alive and kicking. Fittingly, he started his writing career as a rock journalist and later learned his chops in advertising.

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