Natural Language Processing for Automated Classification of Qualitative Data From Interviews of Patients With Cancer

Fang, Chao; Markuzon, Natasha; Patel, Nikunj; Rueda, Juan David

doi:10.1016/j.jval.2022.06.004

Cited by 13 publications

(10 citation statements)

References 58 publications

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“…For future considerations, an approach called Natural Language Processing (NLP) is emerging in health care research ( 9 ). NLP is a subfield of linguistics, computer science, and artificial intelligence that processes and analyzes large amounts of natural language data.…”

Section: Discussionmentioning

confidence: 99%

“…Documents with no qualitative method research information, about PROs development or not related to the context of drug development were excluded (Figure 3A). Targeted literature review PRISMA flow diagram (9). Finally, a search in the PROLABELS™ database was performed in February 2022, to find any examples of inclusion of evidence, data or results from interviews in product labeling.…”

Section: Methodsmentioning

confidence: 99%

“… (A) Grey literature review of guidelines and documents mentioning in-trail interviews PRISMA flow diagram ( 9 ). (B) Grey literature review of drug labels, drug reports and HTA reports PRISMA flow diagram.…”

Section: Methodsmentioning

confidence: 99%

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Integrating qualitative interviews in drug development and the use of qualitative evidence in product labelling and health technology assessments: a review

et al. 2023

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ObjectiveIncluding qualitative research in clinical trial design is an innovative approach to understanding patients’ perspective and incorporate the patient’s voice in all stages of drug development and evaluation. This review aims to explore current practices, lessons learned from the literature, as well as how qualitative interviews are considered by health authorities for marketing authorization and reimbursement.MethodsA targeted literature review of Medline and Embase databases was conducted in February 2022 to identify publications on qualitative methods embedded in clinical trial of pharmaceutical products. An additional search of guidelines and labeling claims of approved products regarding qualitative research was performed in various sources of grey literature.ResultsFrom the 24 publications and nine documents reviewed, we identified the research questions addressed with qualitative methods during clinical trials (e.g., change in quality of life, symptoms assessment, treatment benefit), preferred data collection methods (e.g., interviews), and data collection points (e.g., baseline and exit interviews). Moreover, the data from labels and HTAs demonstrate that qualitative data can play an important role in approval processes.ConclusionThe use of in-trial interviews is still emerging and is not yet common practice. Although the industry, scientific community, regulatory agencies and HTAs are showing an increasing interest in the use of evidence generated via in-trial interviews, guidance from regulators and HTAs would be helpful. Developing new methods and technologies to address the common challenges for such interviews is key to progress.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Integrating qualitative interviews in drug development and the use of qualitative evidence in product labelling and health technology assessments: a review

et al. 2023

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“…Furthermore, classroom observations will be conducted to gain firsthand insights into the dynamics of PAI classes at SMAN 1 Wanasaba (Yan & Li, 2023). Through systematic observation protocols, researchers will document teaching methodologies (Fang et al, 2022), student interactions, and the overall classroom atmosphere. This method offers valuable insights into how freedom to learn values are manifested in actual teaching practices and student engagement within the PAI curriculum (Buldu, 2010).…”

Section: Methodsmentioning

confidence: 99%

The Internalization of The Values of Freedom to Learn in the Learning of Islamic Religious Education (PAI) at Public Senior High School (SMAN) 1 of Wanasaba in the Academic Year of 2023/2024

Jumaah,

Masnun,

Supardi

2023

JIPP

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The research aimed to investigate the internalization process of the value of freedom in learning within the context of Islamic Religious Education at Public Senior High School (SMAN) 1 Wanasaba during the academic year 2023/2024. Freedom in learning encourages student autonomy and active participation in their educational journey. Additionally, it sought to assess the implementation of this concept within the Islamic Religious Education curriculum. Employing a qualitative approach with a case study method, data were gathered through interviews, classroom observations, and document analysis. Findings revealed the successful integration of the freedom to learn concept in Islamic Religious Education at SMAN 1 Wanasaba, with Islamic values deeply ingrained in the learning process. Teachers played pivotal roles as exemplars in fostering the internalization of this value.This study contributes to understanding how freedom in learning principles can be effectively applied within Islamic Religious Education, underscoring the crucial role of teachers in facilitating value internalization. Moreover, it underscores the significance of incorporating religious values into active, participatory educational methodologies, highlighting the pivotal role of Religious Education in character development. In summary, this research enhances comprehension of learning methodologies aligned with Islamic Religious Education principles, emphasizing the importance of teacher guidance in nurturing students' character development through active learning approaches.

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“…However, the authors do not cover specifics about experiments and results obtained using such methods. Fang et al discussed the use of qualitative data generated from interviews with cancer patients in a controlled manner to characterize the use of NLP for extracting insights (Fang et al, 2022 ). The authors further discuss the use of multiclass classifiers to predict labels, such as symptom and quality-of-life impact among others, based on encoder representations and similar techniques.…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence-driven approach for patient-focused drug development

Karmalkar,

Gurulingappa,

Spies

et al. 2023

Front. Artif. Intell.

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Patients' increasing digital participation provides an opportunity to pursue patient-centric research and drug development by understanding their needs. Social media has proven to be one of the most useful data sources when it comes to understanding a company's potential audience to drive more targeted impact. Navigating through an ocean of information is a tedious task where techniques such as artificial intelligence and text analytics have proven effective in identifying relevant posts for healthcare business questions. Here, we present an enterprise-ready, scalable solution demonstrating the feasibility and utility of social media-based patient experience data for use in research and development through capturing and assessing patient experiences and expectations on disease, treatment options, and unmet needs while creating a playbook for roll-out to other indications and therapeutic areas.

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Natural Language Processing for Automated Classification of Qualitative Data From Interviews of Patients With Cancer

Cited by 13 publications

References 58 publications

Integrating qualitative interviews in drug development and the use of qualitative evidence in product labelling and health technology assessments: a review

Integrating qualitative interviews in drug development and the use of qualitative evidence in product labelling and health technology assessments: a review

The Internalization of The Values of Freedom to Learn in the Learning of Islamic Religious Education (PAI) at Public Senior High School (SMAN) 1 of Wanasaba in the Academic Year of 2023/2024

Artificial intelligence-driven approach for patient-focused drug development

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