Anupriya Shanmugam
Biographic Data
| ID | 10022285 |
|---|---|
| NAME | Anupriya Shanmugam |
| GIVEN NAMES | Anupriya |
| FAMILY NAME | Shanmugam |
| SIGNATURE | SHANMUGAM A |
| AFFILIATIONS | PSG College of Arts & Science |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Commentary
The intersection of financial technology (FinTech) and electronic health (eHealth) has emerged as a transformative frontier in global public-health innovation. In "Interlinking FinTech and eHealth: A Qualitative Study," Fahad Al Anezi (2024) explored this convergence through interviews with physicians, patients, and FinTech experts in Saudi Arabia, identifying both opportunities and barriers to digital-health transformation. The study revealed th…
Commentary
The article by Blair and colleagues (2022) offers an innovative exploration of how objective financial data can be used to understand mental health dynamics. Using a case study involving an individual with bipolar disorder (BD), the authors demonstrated that financial transaction data could serve as behavioral indicators of mood episodes especially impulsive or risky spending behaviors (Fletcher et al., 2013). Their approach shifts mental health …
No prominent works on this page.
Commentary
The intersection of financial technology (FinTech) and electronic health (eHealth) has emerged as a transformative frontier in global public-health innovation. In "Interlinking FinTech and eHealth: A Qualitative Study," Fahad Al Anezi (2024) explored this convergence through interviews with physicians, patients, and FinTech experts in Saudi Arabia, identifying both opportunities and barriers to digital-health transformation. The study revealed th…
Commentary
The article by Blair and colleagues (2022) offers an innovative exploration of how objective financial data can be used to understand mental health dynamics. Using a case study involving an individual with bipolar disorder (BD), the authors demonstrated that financial transaction data could serve as behavioral indicators of mood episodes especially impulsive or risky spending behaviors (Fletcher et al., 2013). Their approach shifts mental health …
Artificial Intelligence in Healthcare and Education (1 work) · Bipolar Disorder and Treatment (1 work) · Conceptual framework (1 work) · COVID-19 Digital Contact Tracing (1 work) · Database transaction (1 work) · Digital health (1 work) · Digital Mental Health Interventions (1 work) · Distress (1 work) · eHealth (1 work) · FinTech, Crowdfunding, Digital Finance (1 work)