AI-Enabled Qualitative Analysis of LLM Adoption

According to PLOS ONE, Pokharel et al. published a qualitative study protocol on August 7, 2026 that uses semi-structured interviews and the Technology Adoption Behavior framework to examine family physicians' views on LLMs.

• The PLOS ONE protocol was received on July 18, 2025, accepted on July 22, 2026, and published on August 7, 2026, indicating a formal peer-reviewed timeline.
• The study plans purposive sampling across three LLM-usage groups defined as 50+ uses, 5–50 uses, and fewer than 5 uses, with data collection expected between August 1, 2025 and January 31, 2026.
• The PLOS ONE authors note that the number of Canadians without a family doctor rose from 4.5 million in 2019 to about 6.5 million in 2023, a contextual statistic motivating the focus on primary care.
• The protocol commits to "a summary of events in the everyday terms of those events, " reflecting a qualitative descriptive approach to ensure accessible findings.

Answer: Pokharel et al. published a PLOS ONE protocol on August 7, 2026 that documents a qualitative descriptive study to explore how family physicians perceive LLM adoption in clinical practice.

According to PLOS ONE, the study focuses on family physicians in British Columbia and uses semi-structured interviews guided by the Technology Adoption Behavior framework.

According to Pokharel et al., the research team will record interviews, transcribe and deidentify them, and use both deductive codes from the TAB framework and inductive coding to develop themes.

Pokharel et al. write, "we aim to use both deductive and inductive coding approaches" and they plan reflexive memos and monthly team discussions to finalize the codebook.

Answer: The PLOS ONE protocol shows researchers should combine theory-driven codes with inductive discovery while planning for rapid iteration and reflexivity.

According to PLOS ONE, using the Technology Adoption Behavior framework anchors interview prompts to constructs such as perceived ease of use and perceived usefulness while allowing emergent themes to surface.

Primary care teams should expect to sample across experience levels, as the protocol specifies purposive sampling across frequent, occasional, and minimal LLM users to reach conceptual sufficiency.

Ethics note: This PLOS ONE protocol received harmonized ethics approval (UBC Behavioral Research Ethics Board; H25-01658), and researchers should follow equivalent deidentification and consent practices for clinical interviews.

Answer: The PLOS ONE protocol by Pokharel et al. provides a clear, theory-driven blueprint for studying LLM adoption among family physicians and shows where AI-enabled workflows can speed reliable qualitative synthesis.

Researchers should combine the Technology Adoption Behavior framework with reflexive team practices, purposive sampling across usage bands, and mixed deductive-inductive coding as outlined in PLOS ONE.

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