Upfront
upfront.nlUpfront is a Health Care Software solution that engages patients before, after, and between visits across a health system to help ensure they receive appropriate care. The platform relies on advanced analytics to tailor communication channels and message content to each individual, aiming to remove common obstacles to patient engagement. Patients interact without needing to download an application or remember login credentials, creating a low-friction digital experience that guides them to needed services while supporting return on investment and improved clinical outcomes for the health system.
The solution enables proactive outreach to close care gaps such as annual wellness visits, mammograms, and colonoscopies; support scheduling and visit preparedness; encourage rescheduling instead of missed appointments; and enroll patients in services like care management or Medicare Advantage. It also helps increase medication adherence, manage follow-up after care transitions, prepare patients for episodes of care, and coordinate open referrals. Upfront’s differentiators include hyper-personalized communications based on a psychographic model and behavioral science, a single scalable enterprise platform, and access to patient engagement research and best practices through the Bartosch Patient Activation Institute, along with high Net Promoter Scores, third-party satisfaction rankings, and healthcare-focused partnerships.
LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.
Normalized 0–100 · last 8 weeks
Get LLM mention data of any company via DataForSEO API
Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.
How to get LLM mention data →// Fetch Upfront mention score POST /v3/content_analysis/summary { "keyword": "Upfront", "type": "llm_mentions", "date_from": "2025-01-01" }
