Bridging Informatics in Health

Transforming Healthcare Through Digital Health and Informatics.

I work at the intersection of clinical medicine, epidemiology, and health informatics, applying digital health, real-world health data, and artificial intelligence to strengthen disease surveillance, support clinical decision-making, and improve health system performance. My experience spans clinical practice, clinical trials, public health surveillance, and national health programmes, with a particular interest in translating research into scalable digital solutions.

I am interested in interdisciplinary research that integrates health informatics, implementation science, and data-driven analytics to address complex healthcare challenges and improve population health, particularly in low- and middle-income settings.

8+ years Experience
Clinical and public-health practice. Clinica Trial. Disease Surveillance.
Current Affiliation
Joint Master’s in Health Informatics at Karolinska Institutet & Stockholm University
Focus
Data-informed health-system improvement. Application of AI in Health. Digital Health.

About me

A clinician's perspective, applied to complex health-system challenges through health informatics and data science.

----------------------------------------------------------------------------------------------

I am a physician–researcher with more than eight years of interdisciplinary experience spanning clinical medicine, field epidemiology, clinical research, disease surveillance, and public health programme implementation. Throughout my career, I have worked across frontline healthcare, large-scale randomized controlled trials, national disease surveillance systems, and government-led health programmes, contributing to evidence generation, health systems strengthening, and the implementation of digital health initiatives. These experiences have provided me with a practical understanding of how clinical care, public health, and health information systems intersect in real-world settings.

My work is driven by a simple observation: health systems generate vast amounts of valuable data, yet much of it remains underused for improving patient care, informing policy, and strengthening health systems. I am interested in bridging this gap by integrating clinical expertise with epidemiological methods, health informatics, and data science to transform routinely collected health data into actionable evidence that supports better clinical decisions, population health, and policy development.

Currently, I am pursuing the Joint Master's Programme in Health Informatics at Karolinska Institutet and Stockholm University as a Swedish Institute Scholar, where I am expanding my expertise in electronic health records, clinical decision support systems, health data analytics, interoperability, machine learning, and artificial intelligence for healthcare. My research interests lie at the intersection of medicine, epidemiology, digital health, and AI, with a particular focus on developing evidence-based, equitable, and implementable digital solutions that strengthen healthcare delivery and public health systems, especially in low- and middle-income countries.

Looking ahead, I aim to pursue a PhD in Health Informatics or a related discipline, contributing to translational research that connects clinical practice, health data, and emerging technologies to address complex healthcare challenges. I welcome opportunities for interdisciplinary collaboration in digital health, health data science, artificial intelligence, and implementation research.

View academic CV overview
01

Problem-led

Begin with consequential clinical and health-system needs.

02

Methodologically rigorous

Select methods that fit the question, context, and available evidence.

03

Implementation-aware

Design research with real workflows, constraints, and users in mind.

The question guiding my work

How can routinely collected health data, combined with responsible digital technologies, improve clinical decision-making, public health, and health-system performance in resource-constrained settings?

Research agenda

Problems I want to solve

My research is grounded in practical health-system needs. I connect clinical context with rigorous methods to move from problem definition to implementable evidence.

02

Surveillance & epidemiology

Detect signals earlier and translate them into action.

I am interested in integrating routine and real-world data to improve disease surveillance, outbreak readiness, and population-health decisions.

  • DHIS2
  • Field epidemiology
  • Real-world data
03

Responsible analytics

Build models that are useful, interpretable, and equitable.

I explore statistical learning and AI as tools for clinically relevant questions, with attention to validation, implementation, and the realities of low-resource settings.

  • Machine learning
  • Evaluation
  • Data visualisation

Experience

From frontline care to health-system research

My trajectory connects patient care, field epidemiology, government health services, and applied research.

Medical Officer & Field Epidemiologist

Ministry of Health and Family Welfare, Government of Bangladesh

Worked on health-system strengthening, workforce capacity, routine-data use, and surveillance infrastructure.

Medical Officer, Management Information System

Ministry of Health and Family Welfare, Government of Bangladesh

Supported the connection between health-service delivery, information systems, and public-health decision-making.

Medical Officer, COVID-19 Response

Ministry of Health and Family Welfare, Government of Bangladesh

Contributed clinical and public-health expertise during the pandemic response.

Clinical Research Physician, Center for Non-Communicable Disease and Nutrition

BRAC University · BRAC James P Grant School of Public Health.

Worked across NCD surveillance.

Research Associate, Iron Fortified Lentil Trial

BRAC University · BRAC Research ·

Worked across an iron-fortified lentil clinical trial.

Research Physician, JiVitA Project

JiVitA Project · Johns Hopkins University

Worked across micronutrient-supplementation research.

Research practice

Methods and capabilities

A problem-solving toolkit spanning study design, analysis, digital health standards, and implementation.

01

Study design

Quantitative, qualitative, mixed-methods, action, and evaluation research.

02

Analysis

Descriptive and inferential statistics, feature engineering, and supervised and unsupervised learning.

03

Health informatics

Workflow mapping, interoperability, terminology systems, EHRs, and clinical decision support.

04

Research computing

Python, R, SPSS, Excel, Power BI, Tableau, and QGIS.

Academic preparation

Education and training

Master of Medical Science in Health Informatics

Karolinska Institutet & Stockholm University, Sweden

Swedish Institute Scholarship for Global Professionals

Field Epidemiology Training Program, Intermediate

Institute of Epidemiology, Disease Control and Research, Bangladesh

Bachelor of Medicine, Bachelor of Surgery

Rangpur Medical College, University of Rajshahi, Bangladesh

Projects

Selected Projects

A selection of research, digital health, and data science projects reflecting my interests in health informatics, epidemiology, and healthcare innovation.

Health Informatics

Clinical Decision Support System

Designing a FHIR-based clinical decision support platform integrating electronic health records, clinical workflows, and evidence-based recommendations.

View Project →
Digital Health

Digital Health Platform

Designing a comprehensive digital platform integrating electronic medical records, appointment scheduling, laboratory services, pharmacy, and telemedicine.

View Project →
Epidemiology

Anthrax Surveillance Analysis

Statistical analysis and visualization of human anthrax surveillance data in Bangladesh using R, Python, and GIS for publication and public health decision-making.

View Project →
AI in Healthcare

AI for Public Health

Exploring machine learning and real-world health data to improve surveillance, risk prediction, and clinical decision support.

View Project →

Curriculum vitae

Academic CV overview

A concise summary of my academic preparation, research experience, and methodological profile.

Download CV

Current appointment

Master’s Candidate in Health Informatics

Karolinska Institutet & Stockholm University

Swedish Institute Scholar, 2025-2027

Academic background

  • M.Med.Sc., Health InformaticsIn progress
  • FETP—Intermediate2022—2023
  • Residential Clinical Internship2015—2016
  • MBBS2010—2015

Research domains

  • Health informatics and digital health
  • Applied and field epidemiology
  • Clinical and population-health research
  • Health-system strengthening

Technical profile

  • Python, R, SPSS
  • HL7 FHIR, SNOMED CT, ICD-10/11
  • DHIS2, Power BI, Tableau, QGIS
  • Quantitative, qualitative, and mixed methods

I welcome opportunities for research collaboration, interdisciplinary partnerships, and academic discussion. Please feel free to reach out via email.

Collaboration

Let’s investigate a consequential health problem.

I welcome conversations about doctoral research, health informatics, digital health, epidemiology, and interdisciplinary collaborations focused on strengthening healthcare systems and improving population health.

📧 School e-mail

📧 Personal e-mail

📍 Widerstomoska Huset, Karolinska Institutet, Solna, Stockholm, Sweden

📞 +46 767417088 (SE) 📞 +88 01745937644 (BD)

Dr Anupom Das
Physician · Researcher · Health Informatician

© Anupom Das