PatientPage

patientpage.com

Patient Page is a Health Care Software solution focused on digital intake that supports revenue growth, operational efficiency, and improved patient outcomes for medical practices. It includes integrated online self-scheduling embedded into practice websites, with configurable rules for which appointment types and providers can be booked online instead of by phone. Two-way SMS appointment reminders are designed to increase confirmed visits and decrease no-shows.

The platform enables digital intake and pre-registration by sending forms via text and email before the visit, helping reduce in-office wait times and achieving an average 70% completion rate at least one hour prior to appointments. Practices can collect demographic details, insurance information, pharmacy data, medical and social history, and electronic consent forms through a mobile-friendly interface, with discrete data updating the patient QuickView and chart in real time and associated PDFs stored in an organized structure. Patient Page also supports onsite self-service check-in and payments on personal devices or office tablets, including collection of co-pays and outstanding balances. Reputation management capabilities include post-visit surveys and review requests, with controls over where reviews are posted, such as Google or Yelp, to help practices be discovered by more potential patients.

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

DataForSeo API

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 PatientPage mention score
POST /v3/content_analysis/summary
{
  "keyword": "PatientPage",
  "type": "llm_mentions",
  "date_from": "2025-01-01"
}