TS-003686 — The IP leverages artificial intelligence (AI) and machine learning to revolutionize healthcare communication and education and aims to enhance patient-provider interaction, augment therapy sessions, and improve health literacy through interactive visual content generation. By utilizing advanced AI/ML methods and algorithms, such as generative adversarial networks (GAN) and generative pre-trained transformers (GPT), the IP enables the generation of visual imagery from voice and text inputs. These AI-generated images can be produced via various platforms, including mobile apps, smart speakers, computers, and web content, allowing for seamless integration into healthcare delivery and education processes. The technology facilitates visually augmented conversations between healthcare providers and patients, and the generated content is culturally sensitive and customizable based on user demographics. By providing visual aids during therapy sessions, the IP enhances the effectiveness of behavioral therapy interventions, empowering patients and promoting positive behavior change. The IP holds significant commercial potential, with opportunities for licensing and further development. Digital therapeutics companies, telehealth providers, and educational institutions are prime candidates for collaboration and partnership. Additionally, future iterations of the technology may incorporate virtual reality (VR), augmented reality (AR), and conversational AI components to further enhance the user experience and expand its utility.

TS-003683 — Digital Scribing is an innovative AI tool designed to analyze transcribed clinical conversations, automatically generating concise summaries to aid in clinical charting. Leveraging natural language understanding and artificial intelligence, the IP identifies patterns within conversations and facilitates efficient documentation for healthcare providers and nurses. By automating the summarization process, Digital Scribing would alleviate the documentation burden in clinical settings, thus enhancing workflow efficiency and patient care. The key advantage of Digital Scribing lies in its ability to accurately summarize clinical conversations based on real-world data. Unlike existing methods, which may lack specificity or fail to capture nuances in medical terminology, the IP is trained and tested using authentic clinical conversations. This approach ensures greater accuracy and relevance, particularly in provider-to-provider interactions and counseling sessions. Its adaptability to different clinical contexts makes it a valuable asset for hospitals seeking to streamline documentation processes and improve operational efficiency. Future iterations may extend its applicability to in-person conversations, further expanding its utility across various healthcare settings.

TS-003663 — This invention is a comprehensive conversational design protocol and chatbot prototype, particularly focusing on aiding individuals from low socioeconomic statuses and vulnerable populations in enrolling for essential benefits and social services. Unlike existing systems that often overlook the needs of underserved communities, the IP is tailored to cater to the unique challenges faced by low socioeconomic status and vulnerable populations. Utilizing a multimodal communication approach and evidence-based design, the chatbot facilitates enrollment in various services ranging from Medicaid to housing and education. By integrating behavioral economics principles into its conversational design, the system employs effective nudges to guide users through the enrollment process. Its scalability, adaptability, and customizable protocol ensure relevance and utility across diverse contexts. The prototype is being developed and tested, with future applications envisioned in disaster response, mental health support, employment assistance, and more. The IP’s potential commercialization pathways include government partnerships, nonprofit collaborations, integration with healthcare providers, and customizable solutions for businesses. With its focus on inclusivity, effectiveness, and scalability, it is a promising solution to improve access to vital social services for vulnerable populations.