[HTML][HTML] Good practices for clinical data warehouse implementation: A case study in France

M Doutreligne, A Degremont, PA Jachiet… - PLOS Digital …, 2023 - journals.plos.org
Real-world data (RWD) bears great promises to improve the quality of care. However,
specific infrastructures and methodologies are required to derive robust knowledge and …

Patient-Centric Knowledge Graphs: A Survey of Current Methods, Challenges, and Applications

HSA Khatib, S Neupane, HK Manchukonda… - arXiv preprint arXiv …, 2024 - arxiv.org
Patient-Centric Knowledge Graphs (PCKGs) represent an important shift in healthcare that
focuses on individualized patient care by mapping the patient's health information in a …

Physicians' Brain Digital Twin: Holistic Clinical & Biomedical Knowledge Graphs for Patient Safety and Value-Based Care to Prevent the Post-pandemic Healthcare …

AK Talukder, E Selg, RE Haas - Iberoamerican Knowledge Graphs and …, 2022 - Springer
The 'reading to cognition gaps' and the 'knowledge to action gaps' for a physician or a care
provider are the root causes of patient harm and the low-value healthcare. Rule-based …

Development of a Systems Medicine Approach to Spinal Cord Injury

JD Guest, M Kelly-Hedrick, T Williamson… - Journal of …, 2023 - liebertpub.com
Traumatic spinal cord injury (SCI) causes a sudden onset multi-system disease,
permanently altering homeostasis with multiple complications. Consequences include …

Drugomics: Knowledge Graph & AI to Construct Physicians' Brain Digital Twin to Prevent Drug Side-Effects and Patient Harm

AK Talukder, E Selg, R Fernandez, TDS Raj… - … Conference on Big Data …, 2022 - Springer
Unintended toxic effects of a medication occur due to drug-drug interactions (DDI) and drug-
disease interactions (DDSI). It is the fourth leading cause of death in the US. To overcome …

Bridging the inferential gaps in healthcare

AK Talukder - Big Data Analytics: 9th International Conference, BDA …, 2021 - Springer
Inferential gaps are the combined effect of reading-to-cognition gaps as well as the
knowledge-to-action gaps. Misdiagnoses, medical errors, prescription errors, surgical errors …

2AI&7D model of resistomics to counter the accelerating antibiotic resistance and the medical climate crisis

AK Talukder, P Chakrabarti, BN Chaudhuri… - Big Data Analytics: 9th …, 2021 - Springer
The antimicrobial resistance (AMR) crisis is referred to as 'Medical Climate Crisis'.
Inappropriate use of antimicrobial drugs is driving the resistance evolution in pathogenic …

GREAT AI in Medical Appropriateness and Value-Based-Care

VD Datta, S Ganesh, RE Haas, AK Talukder - International Conference on …, 2023 - Springer
Abstract Fee For Service, also known as Volume Based Care (VBC) model of healthcare
encourages service volume–more service more reward. This model of care results in …

Digital Twins, Digital Triplets, and eXplainable AI, in Precision Health

AK Talukder, SN Sarbadhikari, E Selg… - Roles and Challenges …, 2024 - ebooks.iospress.nl
Precision health is about preventing, predicting, and treating diseases precisely with the
principles of the right care at the right time for the right patient. Precision health is expected …