How to build a HIPAA-compliant AI chatbot

AI chatbots are transforming the healthcare industry by reducing the time burden on professionals and enhancing patient care. However, AI must comply with regulations like HIPAA to ensure stringent data security and privacy, given the sensitivity of healthcare information.

The Health Insurance Portability and Accountability Act (HIPAA) sets national standards for protecting patient health information (PHI). By achieving HIPAA compliance, our platform meets the necessary requirements to handle PHI securely, positioning us as a trusted partner for healthcare organizations.

Common Chatbot Use Cases in Healthcare

AI chatbots cut the time healthcare professionals spend searching for information by up to 70%. They support tasks like in-depth analysis, chart plotting, web searching, and reporting.

Healthcare institutions are deploying AI chatbots to provide physicians with patient history, treatment plans, and progress information from EHRs and knowledge bases, reducing search times dramatically. This efficiency enhances patient care and alleviates physician stress.

Considering Care Support Representatives (CSRs), AI chatbots quickly generate responses to patient inquiries, transforming a 15-minute task into a one-minute process.

Consider any document-intensive process that comes to your mind. An AI chatbot can help you automate it, saving time and resources.

Building a Chatbot with Stack AI

Stack AI's HIPAA compliance and platform functionality make it one of the top choice for healthcare institutions. Our drag-and-drop interface allows anyone to build complex chatbots without coding or AI expertise. Choose on-premise deployment for maximum data control in your AWS, Azure, GCP VPC, or dedicated servers.

Building the logic

Stack AI Builder - Our drag-and-drop interface

First, select the HIPAA-compliant models (e.g., AWS Bedrock, Anthropic, and Azure OpenAI) from the list of available LLMs. Add instructions in the prompt to guide the model on how to answer user questions. We recommend you to follow this prompting guide to optimize your prompt.

Select the knowledge bases from which your LLM will retrieve information to answer users. Stack AI offers a variety of options, including integrations with SharePoint, OneDrive, and AWS. You can choose multiple sources, depending on where you want the chatbot to pull information from.

Stack AI integrations

Enable advanced features if required. PII (Personaly Identifiable Information) masking functionality ensures that sensitive data remains secure and properly managed during interactions with models, maintaining privacy and compliance. Guardrails restrict the responses of your chatbots to certain topics. Both features are available in the settings of your chosen LLM.

Customizing the user interface

Stack AI Export Tab

We offer pre-built interfaces for your AI chatbots that can be easily customized to match your brand's look and feel. You can choose from a ChatGPT-style interface, a website chatbot, a voice interface, or deploy your chatbot via Slack, WhatsApp, or SMS.

You will find different customization options in the Export tab (name, logo, colors, etc.). Configure a custom domain if required and protect your chatbot with SSO or password.

Benefits of Deploying HIPAA-Compliant Chatbots

Deploying HIPAA-compliant AI chatbots ensures adherence to healthcare regulations, providing a secure AI chatbot in a market with few options.

Using Stack AI reduces the cost of chatbot deployment by ~80% compared to in-house development, allowing organizations to focus on primary healthcare challenges without the burden of technological development.

Considering an AI chatbot for your healthcare operations? Schedule a meeting with us to explore our solutions.