A5041762338- COVID-19 Clinical Research Studies
- Emergency and Acute Care Studies
- Sepsis Diagnosis and Treatment
- COVID-19 and healthcare impacts
- Chronic Disease Management Strategies
- Cancer Genomics and Diagnostics
- Clinical Reasoning and Diagnostic Skills
- Machine Learning in Healthcare
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Healthcare Policy and Management
- Medical Coding and Health Information
- COVID-19 diagnosis using AI
- Patient Satisfaction in Healthcare
Institut d'Investigació Biomédica de Bellvitge
2022
Institut Català de la Salut
2022
Complete digital pathology transformation for primary histopathological diagnosis is a challenging yet rewarding endeavor. Its advantages are clear with more efficient workflows, but there many technical and functional difficulties to be faced. The Catalan Health Institute (ICS) has started its DigiPatICS project, aiming deploy in an integrative, holistic, comprehensive way within network of 8 hospitals, over 168 pathologists, 1 million slides each year. We describe the bidding process...
Accurate risk adjustment is crucial for healthcare management and benchmarking.We aimed to compare the performance of classic comorbidity functions (Charlson's Elixhauser's), All Patients Refined Diagnosis Related Groups (APR-DRG), Queralt Indices, a family novel, comprehensive indices prediction key clinical outcomes in hospitalized patients.We conducted an observational, retrospective cohort study using administrative data from 156,459 hospital discharges Catalonia (Spain) during 2018....
Comorbidity burden has been identified as a relevant predictor of critical illness in patients hospitalized with coronavirus disease 2019 (COVID-19). However, comorbidity is often represented by simple count few conditions that may not fully capture patients' complexity.
To assess the contribution of age and comorbidity to risk critical illness in hospitalized COVID-19 patients using increasingly exhaustive tools for measuring burden.
Abstract Background Hospital services are typically reimbursed using case-mix tools that group patients according to diagnoses and procedures. We recently developed a tool (i.e., the Queralt system) aimed at supporting clinicians in patient management. In this study, we compared performance of broadly used APR-DRG) with system. Methods Retrospective analysis all admissions occurred any eight hospitals Catalan Institute Health approximately, 30% hospitalizations Catalonia) during 2019. Costs...
Abstract Objectives To investigate whether the effect of chronological age on risk developing critical illness in COVID-19 hospitalized individuals is attenuated, and to which extent, when adjusting for increasingly exhaustive measures comorbidity burden. Design Retrospective assessment electronic health records. Setting All public hospitals Catalan Institute Health (Catalonia; North-East Spain; 7.7 million inhabitants), account 30% all hospital admissions Catalonia. Participants We included...
Abstract Background Comorbidity burden has been identified as a relevant predictor of critical illness in patients hospitalized with coronavirus disease 2019 (COVID-19). However, comorbidity is often represented by simple count few conditions that may not fully capture patients’ complexity. Purpose To evaluate the performance comprehensive index (Queralt DxS), which includes all chronic present on admission, an adjustment variable models for predicting COVID-19 and compare it two broadly...