PhD Researcher – Digital Health
TextClassification
Quantitative and qualitative analysis was performed on large-scale maternity and clinical datasets to assess clinical outcomes. Data labeling involved the classification and coding of qualitative interviews and focus group discussion transcripts using NVivo and MaxQDA. The process included extraction and coding of qualitative Patient Reported Experience Measures (PREMs) to support secondary use practices. • Data labeling supported digital health research and informed policy.
• Both R and Python were used for preprocessing and structured data transformations.
• NVivo and MaxQDA were utilized for thematic and framework analysis labeling.
• PREMs scoping review involved systematic extraction and categorization of patient experience data.
Quantitative and qualitative analysis was performed on large-scale maternity and clinical datasets to assess clinical outcomes. Data labeling involved the classification and coding of qualitative interviews and focus group discussion transcripts using NVivo and MaxQDA. The process included extraction and coding of qualitative Patient Reported Experience Measures (PREMs) to support secondary use practices. • Data labeling supported digital health research and informed policy. • Both R and Python were used for preprocessing and structured data transformations. • NVivo and MaxQDA were utilized for thematic and framework analysis labeling. • PREMs scoping review involved systematic extraction and categorization of patient experience data.
2024 - Present