Topic Modelling of Digital Healthcare Management and Research Trends in India

The new developments in the field of information technologies
have significantly impacted the digital healthcare application and
management in the medical field. The research on the themes
related to digital healthcare technologies, management and their
intervention needs to be systematically identified and analyzed. The
digital healthcare research in India is not studied thematically using
topic modelling. This study uses Non-Negative Matrix Factorization
algorithm of topic modelling to generate digital health research
themes of India. Post-preprocessing the raw-texts, texts were
converted into Term Frequency-Inverse Document Frequency
vectors. Text classification was performed using Natural Language
Processing’s topic modelling method using Non-Negative Matrix
Factorization algorithm. For the feature selection, k parameter was
adopted which derived a defined number of topics for semantic
interpretation. The topic modelling algorithm automatically
generated three important themes of research based on the
coherence measure from the research articles published.
Analysis of the research articles showed that, there is a significant
increase in number of digital health research in India since 2017,
most publications has happened in the year 2020 and 2021, and
less publications prior to 2017. Topic modelling of 97 published
articles generated best three research themes ‘Evaluation’ ‘Public
Policy’ and ‘Communities’. The ‘Evaluation’ theme is significant with
50 .5% of the publication, second is the ‘Public Policy’ theme with
27.8% publications, and ‘Communities’ with 21.6% publications. All
the three major themes are highly published during the year 2020
and 2021. The finding of the research themes will give a thematic
understanding of the digital healthcare research in India. It will
further the future research using topic modelling for text analysis
and decisions makings in digital healthcare interventions.