Main findings showcase that libraries as secure and trusted places can play a key role in developing and promoting health literacy to different groups; new job titles emerge for librarians (consumer health librarian, health information services librarians, health literacy librarian); whereas collaboration is a key element for developing and offering health literacy training programs to diverse group of users as well as the public. Access via CILIP.
Results
Participants spent the most time viewing the content of the posts, particularly post images. Findings revealed that users' viewing patterns differed when different health topics were presented, but not according to the type of information provider. However, the study showed that users check the Facebook page's banner to verify the health information provider's identity.
The authors reviewed individual applications and conducted trials before selecting three, namely Microsoft Forms, Excel, and Power BI, to work together effectively to input, analyze, and report library statistics. The final data tracking system integrates within Teams for easy sharing within the institution without additional funding.
AI did not write this article. A year from now, this claim may seem less believable. But rather than living in fear of AI and the potentially harrowing landscapes it suggests, librarians can stay ahead of the curve by implementing the tools discussed in this article. As with any other substantive technology, these tools are still in their infant stages, so there’s no need to hard commit to any one option. Libraries at the intersection of nascent AI technology and community service will certainly find something helpful to deploy in the quest to create a more efficient and innovative environment for patrons.
Although search engines sometimes highlight specific search results relevant to health, many resources remain underpromoted.5 AI assistants may have a greater responsibility to provide actionable information, given their single-response design. Partnerships between public health agencies and AI companies must be established to promote public health resources with demonstrated effectiveness. For instance, public health agencies could disseminate a database of recommended resources, especially since AI companies potentially lack subject matter expertise to make these recommendations, and these resources could be incorporated into fine-tuning responses to public health questions. New regulations, such as limiting liability for AI companies who implement these recommendations, since they may not be protected by 47 US Code § 230, could encourage adoption of government recommended resources by AI companies.