Conversational AI
Conversational AI for Healthcare
Drive health outcomes and business efficiencies while strengthening relationships
Because every engagement counts
Bring “the art of the possible” to life
Sample use cases:
Medication monitoring, proactive appointment alerts, sharing lab results, keeping patients up to date on their condition, live doctor/patient conversations, care navigation, plan information, finding providers, Medicaid coverage, pharmacy information, wellness advice, medical device questions, ordering medical supplies, scheduling appointments, refilling medications, medication orders, health tracking, Medicare coverage
Pre-built conversation designs
Accelerate your time to value by leveraging Pypestream’s library of pre-built conversation designs for healthcare use cases. Our “conversationalized” content, flow architecture, and embedded UX features make for the very best customer journeys, from refilling medications to scheduling appointments.
Pre-built conversation designs
Accelerate your time to value by leveraging Pypestream’s library of pre-built conversation designs for healthcare use cases. Our “conversationalized” content, flow architecture, and embedded UX features make for the very best customer journeys, from refilling medications to scheduling appointments.
AI training data
for healthcare
Does your company lack historical conversation logs for AI training? No problem. Pypestream brings extensive experience in the healthcare industry. Work with us to tap into a wide array of utterance data sets for the most common intents.
Pre-built intents serve as a great starting point; you can further increase each intent’s accuracy by adding more utterances based on actual production data.
AI training data for healthcare
Does your company lack historical conversation logs for AI training? No problem. Pypestream brings extensive experience in the healthcare industry. Work with us to tap into a wide array of utterance data sets for the most common intents.
Pre-built intents serve as a great starting point; you can further increase each intent’s accuracy by adding more utterances based on actual production data.
