معرفی
Atul Anand is a Clinical Associate Professor and consultant geriatrician at the University of Edinburgh, working within the Centre for Cardiovascular Science under the Deanery of Clinical Sciences. He serves as clinical data lead for the DataLoch programme—a regional repository of health and social care data in South East Scotland—and actively mentors PhD students while leading major research initiatives focused on aging populations.
His educational background includes a PhD in Cardiovascular Science (thesis: Clinical Biomarkers in Older Patients with Aortic Stenosis), a Bachelor of Medicine and Bachelor of Surgery, and a Bachelor of Science in Pathology, all foundational to his dual expertise in clinical geriatrics and cardiovascular research.
Dr. Anand’s work centers on electronic health records (EHRs) to tackle challenges in multimorbidity, frailty assessment, and delirium detection among older adults. He develops predictive tools for rehabilitation needs using hospital admission data, including a pandemic-era triage system for frail elderly, and investigates cardiovascular outcomes through biomarkers like troponin. His research bridges clinical practice and data science to address gaps in elderly care representation.
Analysis of his 2024–2025 publications reveals a strong emphasis on sex-specific cardiovascular risk models, delirium-dementia linkages, and systems engineering for care transitions. Key trends include leveraging UK-wide EHRs for multimorbidity clustering, refining frailty metrics via longitudinal studies, and optimizing myocardial infarction diagnostics for elderly populations using AI and biomarker kinetics.
His sole documented scientific award is:
- British Geriatrics Society Rising Star Award for Research (2020)
Dr. Anand secures significant grant funding as Principal Investigator for NIHR/EPSRC’s SET4 project (2023–2025) on systems engineering for multimorbidity care, ESRC’s data training initiative (2024–2025), and British Heart Foundation’s chest pain pathway redesign (2023–2025). He also co-investigated MRC’s MiRisk project (2021–2023) for personalized myocardial infarction care in older patients, advocating for inclusive clinical trial design.
He leads the DataLoch programme and collaborates on the AIM-CISC Programme (AI-driven multimorbidity clustering), integrating hospital and social care datasets. His teams include researchers from the University of Edinburgh, NHS Scotland, and external partners, focusing on translating data analytics into clinical tools for frailty prediction and care transition optimization.
