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Challenges and Lessons Learned in Managing Web-Based Survey Fraud for the Garnering Effective Outreach and Research in Georgia for Impact Alliance–Community Engagement Alliance Survey Administrations

Challenges and Lessons Learned in Managing Web-Based Survey Fraud for the Garnering Effective Outreach and Research in Georgia for Impact Alliance–Community Engagement Alliance Survey Administrations

Rapid, convenient, and cost-effective data collection facilitated by the use of anonymous web-based surveys maintains the appeal of web-based survey research among clinical researchers and social scientists [2,9]. Web-based research, despite these advantages, is not without its challenges. Suspicious responses, fraudulent participation, and internet robot (ie, bot) submissions present substantial threats to sample validity in web-based survey research [3,5,6,10,11].

Leslie S Craig, Christina L Evans, Brittany D Taylor, Jace Patterson, Kaleb Whitfield, Mekhi Hill, Michelle Nwagwu, Mohamed Mubasher, Robert A Bednarczyk, Gail G McCray, Cheryl L R Gaddis, Natasha Taylor, Emily Thompson, Ursula Douglas, Saundra K Latimer, Sedessie G Spivey, Tabia Henry Akintobi, Rakale Collins Quarells

JMIR Public Health Surveill 2024;10:e51786

Practical Applications of Large Language Models for Health Care Professionals and Scientists

Practical Applications of Large Language Models for Health Care Professionals and Scientists

This viewpoint article provides practical guidance along with an overview of potential LLM applications in the everyday work of health care professionals and scientists who have limited experience with LLMs so far. Selected examples will illustrate why LLMs offer added value for these applications and how they can be used effectively. Finally, we will discuss overarching aspects to consider when using LLMs.

Florian Reis, Christian Lenz, Manfred Gossen, Hans-Dieter Volk, Norman Michael Drzeniek

JMIR Med Inform 2024;12:e58478