{
  "id": 7815,
  "url": "https://doi.org/10.2196/medinform.3783",
  "title": "Web-Based Textual Analysis of Free-Text Patient Experience Comments From a Survey in Primary Care",
  "summary": "BACKGROUND: Open-ended questions eliciting free-text comments have been widely adopted in surveys of patient experience. Analysis of free text comments can provide deeper or new insight, identify areas for action, and initiate further investigation. Also, they may be a promising way to progress from documentation of patient experience to achieving quality improvement. The usual methods of analyzing free-text comments are known to be time and resource intensive. To efficiently deal with a large a",
  "authors": "Inocencio Maramba, Antoinette Davey, Marc N. Elliott, Martin Roberts, Martín Roland, Finlay Brown",
  "category": "research",
  "topics": "healthcare,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2015-05-06T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:27.491Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7815",
  "original_url": "https://doi.org/10.2196/medinform.3783",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}