RAMAS Privacy
ramas.co.zaPatient health records contain extensive information that could significantly support medical research, yet access is often blocked or tightly restricted due to the sensitive nature of personal health data. Within Health Care Software, privacy concerns mean that conventional data sharing approaches are not sufficient to protect individuals.
Effective anonymization typically requires more than removing direct identifiers, as aggregated statistics or group-level data can still be exploited to re-identify patients. Approaches are needed that carefully manage the trade-off between preserving the usefulness of data for research and introducing enough information loss to lower the risk of disclosure, so that these confidential records can be made more broadly available to researchers seeking to advance medical knowledge and public health.
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 RAMAS Privacy mention score POST /v3/content_analysis/summary { "keyword": "RAMAS Privacy", "type": "llm_mentions", "date_from": "2025-01-01" }
