Economical Utilization of Health Information with Learning Healthcare System Data Commons By Thomas

ABSTRACT

Finding, accessing, sharing, and analyzing patient data from a clinical setting for collaborative research has continually proven to be a challenge in healthcare organizations.The human and technological architecture required to perform these services exist at the largest academic institutions but are usually under-funded.At smaller, less academically focused healthcare organizations across the United States, where the majority of care is delivered, they are generally absent.Here we propose a solution called the Learning Healthcare System Data Commons where cost is usage-based and the most basic elements are designed to be extensible, allowing it to evolve with the changing landscape of healthcare.Herein we also discuss our reference implementation of this platform tailored specifically for operational sustainability and governance using the data generated in a hospital setting for research, quality, and educational purposes. Introduction Information management professionals within healthcare organizations navigate a high degree of complexity for each project and for each data source used for research and quality improvement services.?ata and data policy must be governed tightly, consistently, and transparently to meet the expectations of patients and to comply with the high ethical and legal standards in the healthcare industry.2Even prior to the pandemic, access and sharing of patient data has been of paramount importance to assess current status of medical knowledge, as well as to accelerate clinical research related to diagnosis, prognosis, and therapeutic intervention in the context of cancer care;complex, or rare disease;and in the face of rapidly changing technologies for telehealth, surveillance, engagement, and intervention.3,4 The COVID-19 pandemic has highlighted the need for unified and harmonized data sets. The diversity of patients' current health and medical history relative to various viral strains presents issues for all medical research institutions both in the capacity to access data in real time and the costs to maintain such flexible, agile analytics environments. Implementation Data Assets, and Assets Loaded (Counts of Files by Type) Rush University, operating as a major medical hospital in a diverse major city, is home to diverse troves of multimodal (i.e., wholly different information categories medical images, genomic sequences, and clinical records) diagnostic and medical treatment outcomes data assets.