{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreigtntvgums3mmsw6jbww3c6m6dvvatmuzq42tpaxinxut6bj2uily",
    "uri": "at://did:plc:pmmp7irwts7faw56jdxk3idc/app.bsky.feed.post/3mfamdup7vvx2"
  },
  "coverImage": {
    "$type": "blob",
    "ref": {
      "$link": "bafkreibfeatdxtb2spyatubvxzv5eopage2wvv4glzci4443qnicgjoahi"
    },
    "mimeType": "image/jpeg",
    "size": 403362
  },
  "path": "/news/2026-02-ai-language-access-surgical-patient.html",
  "publishedAt": "2026-02-19T16:20:01.000Z",
  "site": "https://medicalxpress.com",
  "tags": [
    "Surgery"
  ],
  "textContent": "Language barriers contribute substantially to inequities in U.S. surgical care. Spanish-speaking patients are especially affected by communication challenges and inconsistent interpreter access during complex or time-sensitive encounters. A study led by Gezzer Ortega, MD, MPH, a physician investigator from the Center for Surgery and Public Health at Brigham and Women's Hospital, sought to understand how Spanish-speaking surgical patients perceive emerging interpreter technologies, specifically artificial intelligence (AI)-based interpretation and remote video interpretation (RVI), and how these modalities could be implemented in clinical practice.",
  "title": "AI for language access in surgical care: Patient preferences and an implementation framework"
}