The healthcare industry is on the cusp of a new era, mainly driven by the transformative power of generative artificial intelligence (AI). This guide explores this new technology, focusing on generative AI use cases in healthcare.
What is Gen AI?
Generative AI, or gen AI, refers to the machine learning (ML) algorithms that can be used to produce content such as text, images, code, audio, videos, and synthetic data. While generative AI technology dates back to chatbots created in the 1960s, the newest wave of excitement and widespread adoption is due, in part, to innovations in the user interfaces that make the technology accessible to more users and applications.
Another advancement that accelerated the use and adoption of gen AI is transformers, a type of ML that allows model training without pre-labeling data. This shortcut will enable developers to train even larger models on vast amounts of data. The innovation of transformers unlocked another vital development: attention, the ability for models to track more complex connections between words and data points, allowing models to make incredible breakthroughs in pattern recognition across massive volumes of data.
Now, generative AI is commonly used through large language models (LLMs) and multimodal AI technologies that allow users to create rich content for many uses, and the possibilities will only continue to grow.
What are the use cases of generative AI in healthcare?
Generative AI has promising applications throughout many aspects of healthcare, from research and diagnosis to treatment and patient care. Some notable use cases include the following:
- Automating Administrative Tasks: Gen AI can automate and streamline non-clinical healthcare responsibilities such as appointment scheduling, billing and claims management, regulatory compliance checks, patient outreach, and more.
- Refining Disease Diagnosis: Gen AI models can analyze health parameters and risk factors to predict the likelihood of developing specific diseases, almost like gen AI predictive maintenance for the human body. This allows for earlier intervention and helps improve patient outcomes.
- Accelerating Drug Discovery and Development: Managing drug discovery and development traditionally faces many hurdles ranging from high costs to high failure rates. Gen AI can analyze datasets to identify potential drug candidates and biomarkers, help researchers assess the efficacy and safety of medication, and find ways to repurpose existing drugs.
- Personalizing Medical Chatbots: Like virtual patient assistants who can answer queries, gen AI-powered chatbots can provide medical advice and help manage chronic conditions. This application of gen AI enables patient engagement and removes barriers to treatment plan adherence.
- Personalizing Treatment Plans: Algorithms can analyze research and patient data, including medical history, lifestyle, and genetic profile, to develop personalized treatment plans and recommend the most effective medicine, optimizing efficacy and minimizing side effects.
- Improving Medical Imaging: Gen AI can improve the quality of medical imaging by reducing noise, enhancing resolution, and filling in missing information. This technology helps make diagnoses more accurate and improves treatment planning.
- Enhancing Medical Research: Gen AI excels at efficient data processing, thus making it ideal for many facets of medical research, ranging from document summarization to trend analysis, search and retrieval, and more.
- Simulating Medical Training: Gen AI can synthesize medical images for training, allowing students and researchers to study anatomy, pathology, and surgical procedures in a detailed and interactive manner. Gen AI can also simulate scenarios for providers and students to hone new skills.
- Streamlining Medical Documentation: Medical documentation is a time-consuming, labor-intensive task. Gen AI offers a promising solution - AI medical scribes. These advanced and automated models use natural language processing (NLP) to record visits, take notes, record findings in EHR, and even make recommendations for diagnosis and treatment. Through this technology, gen AI relieves healthcare professionals from the arduous task and contributes to a more efficient, accurate, and effective practice of medicine.
Encora's Generative AI Solutions for Healthcare
When medical centers and healthcare providers want to explore generative AI solutions, they need a trustworthy partner.
Encora has a long history of delivering exceptional software engineering and product engineering services across various tech-enabled industries, the healthcare industry included. Encora's team of software engineers is experienced in helping medical leaders revolutionize care delivery with technology that empowers, which is why fast-growing companies partner with Encora. From modernizing EMR systems, unlocking telehealth solutions, optimizing drug discovery, streamlining regulatory compliance, and establishing robust data security to enhancing diagnostics, Encora is ready to help transform medicine. We are deeply expert in the various disciplines, tools, and technologies that power the emerging economy, and this is one of the primary reasons that clients choose Encora over the many strategic alternatives that they have.
To take advantage of generative AI healthcare solutions, contact Encora today!
