OHPEN Lab: Optimization of Health ProcEsses and Networks Laboratory
OHPENLab is directed by You Chen, PhD, Associate Professor
OHPENLab is dedicated to advancing healthcare by leveraging cutting-edge technologies within a transformative informatics framework. Our research leverages large-scale, multimodal health data and advanced computational models to enhance care delivery and ensure drug safety. Our lab integrates cloud computing platforms (e.g., Databricks, Google Cloud, Terra), large language models, data mining, machine learning, temporal and network analysis, and advanced statistical methods to analyze large-scale multimodal data—including electronic health records (EHRs), genotypes, and EHR access logs—and multi-scale knowledge from sources such as PubMed literature, FAERS, MAUDE, DrugBank, and the OHDSI phenotype library. Our goal is to uncover meaningful patterns in healthcare processes, human diseases, genomics, and pharmacology, ultimately improving patient outcomes.
Our specific research interests include:
1. Optimizing Clinical Pathways: Measuring and refining clinical pathways to enhance patient care journeys, optimize resource allocation, and improve patient outcomes.
2. Digital Information Flow Monitoring: Enhancing the efficiency and safety of digital technology use in healthcare by monitoring and analyzing information flow in modern care coordination.
3. Teamwork Efficiency in Patient Care: Analyzing teamwork patterns to boost efficiency in collaborative and coordinated patient care.
4. Adverse Drug-Drug Interactions: Discovering and mitigating adverse drug-drug interactions by incorporating human genotype data.
5. Healthcare Disparities: Quantifying and addressing racial and socioeconomic disparities in healthcare processes and patient outcomes.
6. Neurodegeneration Following ICU Delirium: Integrating multi-scale knowledge and multi-modal data to deepen the understanding of neurodegeneration in patients who have experienced ICU delirium.
