Familiarize yourself with essential terms related to conversational AI, computational linguistics, large language models, and the digital customer experience.
A
AI Agent
An autonomous software entity powered by artificial intelligence designed to perform specific tasks on behalf of users. In healthcare, AI agents can handle patient-facing activities such as intakes, scheduling, triaging, and answering FAQs, enhancing operational efficiency and patient engagement. AI medical companies often deploy these agents to improve healthcare services.
AI for Medical Diagnosis
AI systems that assist in diagnosing medical conditions by analyzing patient data, imaging, and other diagnostic tests to provide accurate and timely insights. These systems often use medical LLM (Large Language Models) for advanced diagnostics.
AI in Healthcare
The use of artificial intelligence technologies to improve and streamline healthcare services, including diagnostics, treatment plans, patient care, and operational efficiencies. AI in healthcare companies leverage these technologies to enhance patient outcomes and operational efficiency.
AI Nurse Assistant
An AI-driven tool that supports nurses by handling tasks such as patient monitoring, data collection, and administrative duties, allowing them to focus more on direct patient care. AI nursing systems often include these assistants.
AI Patient Follow-Up
AI solutions that automate follow-up communications with patients, ensuring they adhere to treatment plans, attend appointments, and complete necessary paperwork. These solutions are often implemented by AI healthcare companies.
API (Application Programming Interface)
A set of protocols and tools for building and interacting with software applications. APIs allow different software systems to communicate with each other, enabling the integration of various services and functionalities. In healthcare, APIs can connect EHR systems with AI agents, allowing seamless data exchange and enhancing patient care and operational efficiency.
Automated Patient Intake
The use of technology to streamline the patient intake process, reducing manual data entry, minimizing errors, and improving efficiency in healthcare settings. EHR integrations are vital for effective automated patient intake.
AI-Powered Patient Support
AI-driven technologies that provide assistance to patients, offering support for symptom tracking, appointment scheduling, medication reminders, and more. Virtual healthcare assistants play a significant role in this support.
AI Triage System
An AI-powered system that assesses patient symptoms and determines the urgency of medical conditions, helping prioritize care and streamline emergency services. Remote triaging is a critical feature of these systems.
AI Agents for Healthcare
AI agents for healthcare are advanced, human-like virtual health assistants powered by artificial intelligence, designed to assist with various patient-facing tasks and administrative processes in the healthcare industry. These agents interact conversationally with patients or clinicians, automating workflows and improving efficiency in healthcare delivery.
AI Symptom Checker
An AI symptom checker is a patient-facing AI solution that uses advanced technologies to help individuals assess their health based on reported symptoms. It interacts through a conversational agent to gather information, analyze potential conditions, and guide the next steps.
C
Conversational AI for Healthcare
AI systems that use natural language processing to interact with patients in a human-like manner, improving patient engagement and support throughout their healthcare journey. These systems include virtual healthcare assistants and AI chatbots.
Customizable Healthcare AI
AI solutions that can be tailored to the specific needs and workflows of different healthcare providers, offering flexibility and personalized functionality. AI health apps often offer customizable features for providers.
Conversational UI (User Interface)
A user interface that allows users to interact with digital systems through natural language conversations. Conversational UIs, often powered by chatbots or AI agents, enable more intuitive and human-like interactions, improving user experience and engagement. These UIs are a key component of conversational AI for healthcare.
D
Databases
Organized collections of structured information or data, typically stored electronically in a computer system. Databases are used to store, manage, and retrieve large amounts of information efficiently. In healthcare, databases can hold patient records, treatment histories, medication information, and more, supporting clinical decision-making and operational processes.
E
EHR (Electronic Health Record)
A digital version of a patient’s paper chart, EHRs are real-time, patient-centered records that make information available instantly and securely to authorized users. EHRs contain a patient’s medical history, diagnoses, medications, treatment plans, immunization dates, allergies, radiology images, and laboratory test results, facilitating comprehensive and coordinated patient care. EHR integrations are crucial for the effective use of patient intake automation and healthcare automation software.
G
GDPR (General Data Protection Regulation)
A comprehensive data protection law in the European Union that sets guidelines for the collection and processing of personal information. GDPR aims to give individuals control over their data and includes provisions for data privacy, security, and the rights of data subjects. Compliance with GDPR is crucial for healthcare organizations handling patient data within the EU.
Guardrails
Predefined rules or constraints applied to AI systems to ensure they operate within acceptable boundaries and maintain focus on their intended scope. In healthcare AI, guardrails prevent the AI from making inappropriate or harmful decisions and keep interactions relevant and on-topic.
H
HIPAA-compliant AI
AI solutions that adhere to the Health Insurance Portability and Accountability Act regulations, ensuring the privacy and security of patient health information. AI medical companies must ensure compliance with these regulations.
Healthcare AI Solutions
A broad range of AI applications tailored for the healthcare industry, including diagnostic tools, virtual assistants, patient monitoring systems, and administrative automation. These solutions are provided by AI healthcare companies.
Healthcare Compliance AI
AI solutions designed to help healthcare organizations comply with regulations and standards, ensuring patient data privacy and security. AI medical companies must adhere to these compliance standards.
Healthcare Automation Software
Software solutions that automate administrative and clinical workflows in healthcare, improving efficiency and reducing the burden on healthcare professionals. EHR integrations enhance the capabilities of this software.
Healthcare Chatbot
An AI-powered virtual assistant designed to interact with patients and healthcare providers, facilitating tasks such as patient intake, scheduling, and answering FAQs. These chatbots are often part of conversational AI for healthcare.
Healthcare Virtual Assistant
A digital assistant powered by AI that helps healthcare professionals and patients with various tasks, such as providing medical information, managing appointments, and facilitating communication. These virtual healthcare assistants often perform remote triaging and other support roles.
Healthcare Workflow Automation
The use of AI and other technologies to streamline and automate routine workflows in healthcare settings, reducing administrative burden and improving operational efficiency. EHR integrations are crucial for workflow automation.
L
LLMs (Large Language Models)
Advanced AI models trained on vast amounts of text data to understand and generate human-like language. These models, such as GPT-4, are capable of performing a wide range of natural language processing tasks, including text generation, translation, summarization, and question-answering. Medical LLMs are specifically trained on healthcare data to provide accurate medical information and support.
M
Medical AI Assistant
An AI tool designed to support healthcare providers by automating routine tasks, providing decision support, and enhancing patient care. These assistants can be part of AI nursing support systems.
Medical FAQ Chatbot
An AI-powered chatbot designed to answer frequently asked questions from patients, providing accurate information and reducing the workload on healthcare staff. These chatbots are part of conversational AI for healthcare.
Medical Appointment Scheduling AI
AI-driven tools that assist in scheduling medical appointments, managing calendars, and sending reminders to patients, ensuring better time management and reduced no-shows. These tools are commonly used by AI healthcare companies.
P
Patient Data Collection AI
AI technologies that facilitate the collection and analysis of patient data, ensuring comprehensive and accurate records that support better clinical decision-making. EHR integrations are essential for effective data collection.
Patient Intake Software
An AI-powered virtual assistant designed to interact with patients and healthcare providers, facilitating tasks such as patient intake, scheduling, and answering FAQs. These chatbots are often part of conversational AI for healthcare.
Patient Engagement Solutions
Technologies and strategies designed to involve patients in their own healthcare, improving adherence to treatment plans and overall health outcomes through active participation. AI health apps are often a part of these solutions.
PIPEDA-compliant AI
AI systems that comply with the Personal Information Protection and Electronic Documents Act, protecting the personal data of patients in Canada. This compliance is critical for AI healthcare companies operating in Canada.
PIPEDA (Personal Information Protection and Electronic Documents Act)
A Canadian law that governs how private sector organizations collect, use, and disclose personal information. PIPEDA ensures that organizations adhere to principles of transparency, accountability, and consent when handling personal data, protecting the privacy rights of individuals in Canada. Compliance with PIPEDA is essential for healthcare providers managing patient information.
R
RAG (Retrieval-Augmented Generation)
A technique in AI where large language models (LLMs) are augmented with external knowledge retrieval to provide more accurate and contextually relevant responses. This method enhances the model's ability to generate informed and precise outputs by accessing and integrating external data sources.
S
Safeguards
Measures and protocols implemented within AI systems to detect and manage potential risks, ensuring safe and effective operation. In healthcare, safeguards involve the AI’s ability to identify critical situations and respond appropriately.
Symptom Checker AI
AI applications that help patients and healthcare providers monitor and analyze symptoms over time, aiding in early diagnosis and effective treatment planning. AI health apps often include symptom tracking features.
