Exploring the potential and challenges of using mobile based technology in strengthening health information systems: Experiences from a pilot study. - Arunima Mukherjee 001; Saptarshi Purkayastha (AMCIS, 2010)

A Post-development Perspective on mHealth - An Implementation Initiative in Malawi. - Saptarshi Purkayastha; Tiwonge Davis Manda; Terje Aksel Sanner (HICSS, 2013)

Big Data Analytics for developing countries - Using the Cloud for Operational BI in Health. - Saptarshi Purkayastha; Jørn Braa (Electron. J. Inf. Syst. Dev. Ctries., 2013)

Designing a drawing-based tool to manage EBRT process in an open-source oncology EMR system. - Manika Maheshwari; Saptarshi Purkayastha (AMIA, 2015)

The Genus of Information Infrastructures: Architecture, Governance & Praxis. - Saptarshi Purkayastha (2015)

Overcoming the Maternal Care Crisis: How Can Lessons Learnt in Global Health Informatics Address US Maternal Health Outcomes? - Suranga Nath Kasthurirathne; Burke W. Mamlin; Saptarshi Purkayastha; Theresa Cullen (AMIA, 2017)

Using cognitive fit theory to evaluate patient understanding of medical images. - Judy Wawira Gichoya; Mohammad Alarifi; Ria Bhaduri; Bilal Tahir; Saptarshi Purkayastha (EMBC, 2017)

Mobile-Application Based Cognitive Behavior Therapy (CBT) for Identifying and Managing Depression and Anxiety. - Siva Abhishek Addepally; Saptarshi Purkayastha (HCI (17), 2017)

Conversion of JPG Image into DICOM Image Format with One Click Tagging. - Olakunle Oladiran; Judy Gichoya; Saptarshi Purkayastha (HCI (17), 2017)

Comparative Performance Analysis of Different Fingerprint Biometric Scanners for Patient Matching. - Noah Kasiiti; Judy Wawira Gichoya; Saptarshi Purkayastha; Martin Chieng Were (MedInfo, 2017)

Know thy eHealth user: Development of biopsychosocial personas from a study of older adults with heart failure. - Richard J. Holden; Anand Kulanthaivel; Saptarshi Purkayastha; Kathryn Goggins; Sunil Kripalani (Int. J. Medical Informatics, 2017)

Finding the Best EHR Training Dataset: A Cross-over Trial. - Josette F. Jones; Rukhaiya Fatima; Saptarshi Purkayastha; Anand Kulanthaivel; Enming Zhang (AMIA, 2018)

Development of an Innovative Mobile Phone-Based Newborn Care Training Application. - Sherri L. Bucher; Elizabeth Meyers; Bhavani Singh Agnikula Kshatriya; Prem Chand Avanigadda; Saptarshi Purkayastha (IBICA, 2018)

Phronesis of AI in radiology: Superhuman meets natural stupidity. - Judy W. Gichoya; Siddhartha Nuthakki; Pallavi G. Maity; Saptarshi Purkayastha (CoRR, 2018)

A Platform for Innovation and Standards Evaluation: a Case Study from the OpenMRS Open-Source Radiology Information System. - Judy W. Gichoya; Marc D. Kohli; Larry Ivange; Teri Sippel Schmidt; Saptarshi Purkayastha (J. Digit. Imaging, 2018)

Full Training versus Fine Tuning for Radiology Images Concept Detection Task for the ImageCLEF 2019 Challenge. - Priyanshu Sinha; Saptarshi Purkayastha; Judy Gichoya (CLEF (Working Notes), 2019)

Evaluating the Implementation of Deep Learning in LibreHealth Radiology on Chest X-Rays. - Saptarshi Purkayastha; Surendra Babu Buddi; Siddhartha Nuthakki; Bhawana Yadav; Judy W. Gichoya (CVC (1), 2019)

The Development and Usability Testing of a Decision Support Mobile App for the Essential Care for Every Baby (ECEB) Program. - Siddhartha Nuthakki; Sherri L. Bucher; Saptarshi Purkayastha (HCI (37), 2019)

Development and Implementation of a Dashboard for Diabetes Care Management in OpenMRS. - Bhanu Teja Yandrapalli; Josette Jones; Saptarshi Purkayastha (CoRR, 2019)

Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks. - Siddhartha Nuthakki; Sunil Neela; Judy W. Gichoya; Saptarshi Purkayastha (CoRR, 2019)

Essential Care for Every Baby: Neonatal Clinical Decision Support Tool. - Anushri Singh Rajapuri; Radhika Ravindran; Kevin Horan; Sherri L. Bucher; Saptarshi Purkayastha (AHFE (5), 2020)

Blood Glucose Level Prediction as Time-Series Modeling using Sequence-to-Sequence Neural Networks. - Ananth Reddy Bhimireddy; Priyanshu Sinha; Bolu Oluwalade; Judy Wawira Gichoya; Saptarshi Purkayastha (KDH@ECAI, 2020)

Continuous Security through Integration Testing in an Electronic Health Records System. - Saptarshi Purkayastha; Shreya Goyal; Tyler Phillips 001; Huanmei Wu; Brandon Haakenson; Xukai Zou (ICSSA, 2020)

AuthN-AuthZ: Integrated, User-Friendly and Privacy-Preserving Authentication and Authorization. - Tyler Phillips 001; Xiaoyuan Yu; Brandon Haakenson; Shreya Goyal; Xukai Zou; Saptarshi Purkayastha; Huanmei Wu (TPS-ISA, 2020)

Multi-label natural language processing to identify diagnosis and procedure codes from MIMIC-III inpatient notes. - A. K. Bhavani Singh; Mounika Guntu; Ananth Reddy Bhimireddy; Judy W. Gichoya; Saptarshi Purkayastha (CoRR, 2020)

Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS. - Pradeeban Kathiravelu; Ashish Sharma 001; Saptarshi Purkayastha; Priyanshu Sinha; Alexandre Cadrin-Chenevert; Imon Banerjee; Judy Wawira Gichoya (CoRR, 2020)

Artificial Intelligence for Global Health: Learning From a Decade of Digital Transformation in Health Care. - Varoon Mathur; Saptarshi Purkayastha; Judy Wawira Gichoya (CoRR, 2020)

Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications. - Imon Banerjee; Priyanshu Sinha; Saptarshi Purkayastha; Nazanin Mashhaditafreshi; Amara Tariq; Jiwoong Jason Jeong; Hari Trivedi; Judy W. Gichoya (CoRR, 2020)

Enabling Secure and Effective Biomedical Data Sharing through Cyberinfrastructure Gateways. - Shreya Goyal; Saptarshi Purkayastha; Tyler Phillips 001; Rob Quick; Alexis Britt (CoRR, 2020)

Human Activity Recognition using Deep Learning Models on Smartphones and Smartwatches Sensor Data. - Bolu Oluwalade; Sunil Neela; Judy Wawira Gichoya; Tobiloba Adejumo; Saptarshi Purkayastha (HEALTHINF, 2021)

Usability and Security of Different Authentication Methods for an Electronic Health Records System. - Saptarshi Purkayastha; Shreya Goyal; Bolu Oluwalade; Tyler Phillips 001; Huanmei Wu; Xukai Zou (HEALTHINF, 2021)

Predicting Opioid Prescriptions based on Patient Demographics in MIMIC-IV. - Snigdha Kodela; Jahnavi Pinnamraju; Judy W. Gichoya; Saptarshi Purkayastha (CBMS, 2021)

Optimizing Medical Image Classification Models for Edge Devices. - Areeba Abid; Priyanshu Sinha; Aishwarya Harpale; Judy Gichoya; Saptarshi Purkayastha (DCAI (1), 2021)

Electronic Patient Records as a Substrate for Collaboration for Distributed Care in Low-Resource Contexts. - Saptarshi Purkayastha (ICHI, 2021)

Using Machine Learning Approaches to Identify Exercise Activities from a Triple-Synchronous Biomedical Sensor. - Yohan Mahajan; Jahnavi Pinnamraju; John L. Burns; Judy W. Gichoya; Saptarshi Purkayastha (ISDA, 2021)

Reading Race: AI Recognises Patient's Racial Identity In Medical Images. - Imon Banerjee; Ananth Reddy Bhimireddy; John L. Burns; Leo Anthony Celi; Li-Ching Chen; Ramon Correa; Natalie Dullerud; Marzyeh Ghassemi; Shih-Cheng Huang; Po-Chih Kuo; Matthew P. Lungren; Lyle J. Palmer; et al. (CoRR, 2021)

Margin-Aware Intra-Class Novelty Identification for Medical Images. - Xiaoyuan Guo; Judy Wawira Gichoya; Saptarshi Purkayastha; Imon Banerjee (CoRR, 2021)

CVAD: A generic medical anomaly detector based on Cascade VAE. - Xiaoyuan Guo; Judy Wawira Gichoya; Saptarshi Purkayastha; Imon Banerjee (CoRR, 2021)

MedShift: identifying shift data for medical dataset curation. - Xiaoyuan Guo; Judy Wawira Gichoya; Hari Trivedi; Saptarshi Purkayastha; Imon Banerjee (CoRR, 2021)

A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images. - Pradeeban Kathiravelu; Puneet Sharma; Ashish Sharma 001; Imon Banerjee; Hari Trivedi; Saptarshi Purkayastha; Priyanshu Sinha; Alexandre Cadrin-Chenevert; Nabile M. Safdar; Judy Wawira Gichoya (J. Digit. Imaging, 2021)

Patient-specific COVID-19 resource utilization prediction using fusion AI model. - Amara Tariq; Leo Anthony Celi; Janice M. Newsome; Saptarshi Purkayastha; Neal Kumar Bhatia; Hari Trivedi; Judy Wawira Gichoya; Imon Banerjee (npj Digit. Medicine, 2021)

Risks and Benefits of AI-generated Text Summarization for Expert Level Content in Graduate Health Informatics. - Regina Merine; Saptarshi Purkayastha (ICHI, 2022)

CVAD: An Anomaly Detector for Medical Images Based on Cascade VAE. - Xiaoyuan Guo; Judy Wawira Gichoya; Saptarshi Purkayastha; Imon Banerjee (MILLanD@MICCAI, 2022)

OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System. - Xiaoyuan Guo; Jiali Duan; Saptarshi Purkayastha; Hari Trivedi; Judy Wawira Gichoya; Imon Banerjee (ICMR, 2022)

Networking Research Innovations for Telesurgery: A Systematic Review. - Pradeeban Kathiravelu; Elhadj Benkhelifa; Zachary Zaiman; Matthew Wang; Ramon Correa; Luís Veiga; Imon Banerjee; Hari Trivedi; Saptarshi Purkayastha; Judy Gichoya; Babak Mahmoudi (SDS, 2022)

Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited triplets. - Ananth Reddy Bhimireddy; John Lee Burns; Saptarshi Purkayastha; Judy Wawira Gichoya (CoRR, 2022)

CVAD - An unsupervised image anomaly detector. - Xiaoyuan Guo; Judy Wawira Gichoya; Saptarshi Purkayastha; Imon Banerjee (Softw. Impacts, 2022)

A General-Purpose AI Assistant Embedded in an Open-Source Radiology Information System. - Saptarshi Purkayastha; Rohan Satya Isaac; Sharon Anthony; Shikhar Shukla; Elizabeth A. Krupinski; Joshua A. Danish; Judy Wawira Gichoya (AIME, 2023)

Evaluating user acceptance of an open-source mobile app for hospital price transparency rule. - Saptarshi Purkayastha; Regina Merine; Vyona Dsouza; Pallavi Singh; Judy Gichoya (ECIS, 2023)

Generalizability of Human Activity Recognition Machine Learning Models from non-Parkinson's to Parkinson's Disease Patients. - Shreyas Aswar; Vedasree Yerrabandi; Megha M. Moncy; Sahithi Reddy Boda; Josette Jones; Saptarshi Purkayastha (EMBC, 2023)

Improving Health Informatics Competencies Using an Open-source Educational EHR. - Saptarshi Purkayastha; Cathy R. Fulton; Sahaja Ratna (ICHI, 2023)

A Skills Assessment Pathways-Based Program Assessment Approach in Multidisciplinary Graduate Health Informatics. - Saptarshi Purkayastha; Akshita Venkat Patri; Vedasree Yerrabandi (MedInfo, 2023)

Evaluation of accessibility of open-source EHRs for visually impaired users. - Megha M. Moncy; Manya Philips Pilli; Manasi Somasundaram; Saptarshi Purkayastha; Cathy R. Fulton (CoRR, 2023)

Healthcare Security Breaches in the United States: Insights and their Socio-Technical Implications. - Megha M. Moncy; Sadia Afreen; Saptarshi Purkayastha (CoRR, 2023)

Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research. - Bardia Khosravi; Frank Li 005; Theo Dapamede; Pouria Rouzrokh; Cooper U. Gamble; Hari M. Trivedi; Cody C. Wyles; Andrew B. Sellergren; Saptarshi Purkayastha; Bradley J. Erickson; Judy W. Gichoya (CoRR, 2023)

MedShift: Automated Identification of Shift Data for Medical Image Dataset Curation. - Xiaoyuan Guo; Judy Wawira Gichoya; Hari Trivedi; Saptarshi Purkayastha; Imon Banerjee (IEEE J. Biomed. Health Informatics, 2023)

The Telehealth Dilemma - Health-Care Deserts Meet the Internet's Remote Regions. - Pradeeban Kathiravelu; Dalibor Fonovic; Tihana Galinac Grbac; Zachary Zaiman; Luís Veiga; Judy Wawira Gichoya; Saptarshi Purkayastha; Babak Mahmoudi (Computer, 2023)

Foundational domains and competencies for baccalaureate health informatics education. - Saif S. Khairat; Sue S. Feldman; Arif Rana; Mohammad Faysel; Saptarshi Purkayastha; Matthew Scotch; Christina Eldredge (J. Am. Medical Informatics Assoc., 2023)

Utilizing ETL Processes to Enhance Healthcare Education: Migrating MIMIC-IV to OpenEMR. - Mohith Surya Kiran Kasula; Sri Harsha Sudalagunta; Keerthika Sunchu; Saptarshi Purkayastha (CBMS, 2024)

Interpolating and Forecasting Wound Trajectory using Machine Learning Approaches. - Atika Rahman Paddo; Shikhar Shukla; Shomita S. Steiner; Saptarshi Purkayastha; Chandan K. Sen (CBMS, 2024)

Personalizing Exercise Recommendations with Explanations using Multi-Armed Contextual Bandit and Reinforcement Learning. - Parvati Naliyatthaliyazchayil; Deepishka Pemmasani; Navin Kaushal; Donya Nemati; Saptarshi Purkayastha (HealthRecSys@RecSys, 2024)

Evaluating Academic Performance in Health Informatics Post-EHR Implementation. - Madhuri Kokkalakonda; Vaibhav Thakur; Manya Philips Pilli; Saptarshi Purkayastha; Cathy R. Fulton (ICHI, 2024)

A Scoping Review on Quantization Methods for Medical Imaging AI. - Atika Rahman Paddo; Ria Treesa Raju; Judy Wawira Gichoya; Saptarshi Purkayastha (ISBI, 2024)

Measuring Impact of Radiologist-AI Collaboration: Efficiency, Accuracy, and Clinical Impact. - Saptarshi Purkayastha; Rohan Satya Isaac; Amulya Veldandi; Rijul Saxena; Pallavi Singh; Pallavi Vaswani; Elizabeth A. Krupinski; Joshua A. Danish; Judy Wawira Gichoya (ISBI, 2024)

DengueNet: Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries. - Kuan-Ting Kuo; Dana Moukheiber; Sebastián Cajas Ordonez; David S. Restrepo; Atika Rahman Paddo; Tsung-Yu Chen; Lama Moukheiber; Mira Moukheiber; Sulaiman Moukheiber; Saptarshi Purkayastha; Po-Chih Kuo; Leo Anthony Celi (CoRR, 2024)

Identifying and improving the "ground truth" of race in disparities research through improved EMR data reporting. A systematic review. - Babajide O. Owosela; Rebecca S. Steinberg; Sharon L. Leslie; Leo A. Celi; Saptarshi Purkayastha; Rakesh Shiradkar; Janice M. Newsome; Judy W. Gichoya (Int. J. Medical Informatics, 2024)

Evaluating Vision Language Models (VLMs) for Radiology: A Comprehensive Analysis. - Frank Li 005; Hari Trivedi; Bardia Khosravi; Theo Dapamede; Mohammadreza Chavoshi; Abdulhameed Dere; Rohan Satya Isaac; Aawez Mansuri; Janice M. Newsome; Saptarshi Purkayastha; Judy Gichoya (CoRR, 2025)