Sirisha Narayana
Biographic Data
| ID | 9555268 |
|---|---|
| NAME | Sirisha Narayana |
| GIVEN NAMES | Sirisha |
| FAMILY NAME | Narayana |
| SIGNATURE | NARAYANA S |
| AFFILIATIONS | University of California System |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Learning from our patients
BACKGROUND: Case tracking (following-up prior patient encounters) can help inform future clinical decisions and supplement experiential learning. Internal medicine subspecialty fellows see a high volume of patients and need to become subject matter experts within a short time frame, yet little is known about their specific needs and motivations around case tracking. OBJECTIVE: The objective of this study was to explore internal medicine subspecia…
Response to
Dear EditorWe appreciate the comments from Griffin and colleagues [1] about the potential unintended consequences of providing subspecialty learners with a dashboard that contains a list of the pat
Response to
Dear EditorWe appreciate the comments raised by Dr. Koffman [1] in their letter, which explores the ethical considerations with respect to case tracking and patient privacy. The increasing ubiquity
Ai-Powered Political Campaigns
The integration of Artificial Intelligence (AI) into political campaigns has reshaped the democratic landscape across the world. AI-driven technologies such as data analytics, predictive modelling, chatbots, and automated content generation have transformed how political parties engage with voters, manage public opinion, and strategize electoral activities. While these innovations have enhanced campaign efficiency, improved voter outreach, and al…
No prominent works on this page.
Ai-Powered Political Campaigns
The integration of Artificial Intelligence (AI) into political campaigns has reshaped the democratic landscape across the world. AI-driven technologies such as data analytics, predictive modelling, chatbots, and automated content generation have transformed how political parties engage with voters, manage public opinion, and strategize electoral activities. While these innovations have enhanced campaign efficiency, improved voter outreach, and al…
Learning from our patients
BACKGROUND: Case tracking (following-up prior patient encounters) can help inform future clinical decisions and supplement experiential learning. Internal medicine subspecialty fellows see a high volume of patients and need to become subject matter experts within a short time frame, yet little is known about their specific needs and motivations around case tracking. OBJECTIVE: The objective of this study was to explore internal medicine subspecia…
Response to
Dear EditorWe appreciate the comments from Griffin and colleagues [1] about the potential unintended consequences of providing subspecialty learners with a dashboard that contains a list of the pat
Response to
Dear EditorWe appreciate the comments raised by Dr. Koffman [1] in their letter, which explores the ethical considerations with respect to case tracking and patient privacy. The increasing ubiquity
Clinical Reasoning and Diagnostic Skills (3 works) · Computer Science (3 works) · Medical education (3 works) · Medicine (3 works) · Pedagogy (3 works) · Psychology (3 works) · Tracking (education) (3 works) · Innovations in Medical Education (2 works) · Primary Care and Health Outcomes (2 works) · Accountability (1 work)