Vincent Liu, MD, MS

People

Kaiser Permanente Division of Research
2000 Broadway
Oakland, CA 94612

(510) 891-5933 (phone)
vincent.x.liu@kp.org
Kaiser Permanente Researcher Profiles

Vincent Liu, MD, MS, is a research scientist at the Kaiser Permanente Northern California Division of Research. His work focuses on the intersection of sepsis, acute severe illness, informatics, and health care delivery with a goal of building towards a learning hospital system.

Dr. Liu is board certified in Internal Medicine, Pulmonary Disease, Critical Care Medicine, and Clinical Informatics. He received his undergraduate degree from the University of Pennsylvania and his medical degree from New York University. He completed his residency training at New York University Hospitals (Bellevue) and a chief residency at Memorial Sloan-Kettering Cancer Center. He also completed a pulmonary and critical care medicine fellowship and has master’s degrees in Health Services Research and Biomedical Informatics, both from Stanford University.

In addition to his clinical practice and research, Dr. Liu is also the Regional Director of Hospital Advanced Analytics in Kaiser Permanente Northern California.

Current Position(s):

Research Scientist II, Division of Research, Kaiser Permanente Northern California
Intensivist, Critical Care, Kaiser Permanente Medical Center, Santa Clara, California
Clinical Assistant Professor of Medicine (Affiliated), Stanford University, Stanford, California
Regional Director, Hospital Advanced Analytics, Kaiser Permanente Northern California

Section Affiliations:

Health Care Delivery and Policy

Primary Research Interests:

Critical Care and Inpatient Health Services Research
Sepsis
Data Science
Delivery and Implementation Science
Electronic Decision Support
Health Informatics

Studies

Effectiveness and safety of treatments for hospitalized patients with COVID-19

Examine the safety and effectiveness of current treatments for hospitalized patients with COVID-19 and identify patient characteristics and time periods during the disease course that are associated with more favorable treatment response.
Investigator: Liu, Vincent
Funder: Garfield Memorial Fund

Sepsis on FHIR

Overall goal is to define and refine the current epidemiology, clinical characteristics, and treatment practices in respiratory failure in late and moderately preterm infants. Specific aims are to determine that incidence and epidemiology of respiratory failure in neonates born 32-36 weeks of gestation between 2012 and 2017 in Kaiser Permanente Northern California facilities; describe disease severity and respiratory support by diagnostic category; describe use of surfactant replacement therapy; and assess the impact of surfactant replacement therapy on length of respiratory support, length of hospitalization, and respiratory outcomes in the first year of life.
Investigator: Liu, Vincent
Funder: Moore Foundation

Understanding and Informing Early Hospital Antibiotic Prescribing for Potential Infection

The goals of this study are to (1) examine temporal trends in early hospital antibiotic prescribing patterns over the past 5 years, to assess for unintended consequences associated with earlier antibiotics in severe sepsis/septic shock; (2) quantify the patient-level harm associated with receipt of unnecessary antibiotics; and (3) identify subsets of patients, discernable in real-time with high certainty, who benefit from immediate antibiotics, versus the subsets of patients for whom it is safe to delay antibiotics by 3 hours (thereby allowing time for rapid diagnostics, such as procalcitonin).
Investigator: Liu, Vincent
Funder: Agency for Healthcare Research and Quality

Targeting Cardiovascular Events to Improve Patient Outcomes After Sepsis

Sepsis is the most common illness leading to hospitalization in the United States, affecting more than 1 million Americans each year. While short-term mortality has improved over prior decades, sepsis survivors face numerous post-hospital sequelae that negatively impact long-term morbidity and mortality. Cardiovascular complications are among the most common reasons for re-hospitalization and death after sepsis, with approximately 1 in 3 severe sepsis patients experiencing a cardiovascular complication in the year after sepsis hospitalization. This project seeks to identify risk factors for post-sepsis cardiovascular risk based on granular inpatient data collected during hospitalization, and identify potential opportunities to reduce post-sepsis cardiovascular risk.
Investigator: Liu, Vincent
Funder: National Heart, Lung, and Blood Institute

Using EHR Audit Logs to Capture Diagnostic Pathways and Time to Diagnosis

Rapid expansions in the use of electronic health record (EHR) systems also contribute to large expansions in the availability of metadata. These highly granular metadata may prove particularly useful for understanding how frontline clinicians interact with clinical information when making diagnostic decisions. This project aims to characterize EHR audit log data and advance nascent understanding of the potential to leverage these to provide novel insights into the diagnostic process, with a focus on time to diagnosis, and ultimately inform the achievement of diagnostic excellence.
Investigator: Liu, Vincent
Funder: Gordon and Betty Moore Foundation

Identifying Pre-Sepsis Opportunities for Early, Targeted Intervention

Early evidence suggests there will be ongoing waves of COVID-19 outbreak that can be mitigated through effective community-level prediction models and intervention. This project will Identify pre-sepsis opportunities for early, targeted intervention to inform community-level mitigation strategies of upcoming COVID19 surges.
Investigator: Liu, Vincent
Funder: National Institute of General Medical Sciences

Benchmarking Hospital Quality - Template Matching

In this study, Kaiser Permanente Northern California researchers will serve as consultants for U.S. Department of Veterans Affairs (VA) researchers to evaluate the utility of template matching techniques, compared with standard regression techniques, for comparing hospital quality.
Investigator: Liu, Vincent
Funder: U.S. Department of Veterans Affairs

Benefits of Intensive Care Unit Admission for Patients with Acute Respiratory Failure or Sepsis

Ideal and optimally efficient use of intensive care unit (ICU) resources would create benefits across the health care system. Ideal use of ICU resources requires a needs assessment to determine which categories of patients commonly admitted to ICUs derive true net benefit on average from ICU admission versus admission to a regular hospital floor. This project aims to conduct such a needs assessment, which has never before been done.
Investigator: Liu, Vincent
Funder: National Heart, Lung, and Blood Institute

Data-Driven Precision Medicine in Sepsis

Sepsis is a common and costly disease which contributes to nearly 1 in 2 hospital deaths in our healthcare system. While aggressive early treatment with quantitative resuscitation has demonstrated benefit, many other interventions have not demonstrated efficacy likely resulting from an incomplete understanding of sepsis disease mechanisms. This study seeks to address three questions through innovative approaches to using observational data: (1) what factors can improve our characterization and phenotyping of sepsis patients; (2) what are the potential benefits of using quantitative resuscitation in less severe sepsis subgroups; and (3) how does acute organ dysfunction impact long-term mortality and utilization among sepsis survivors
Investigator: Liu, Vincent
Funder: National Institute of General Medical Sciences

Highlighted Publications

No results found matching criteria

Publications

Evaluation of an intervention targeted with predictive analytics to prevent readmissions in an integrated health system: observational study

Author(s): Marafino BJ; Escobar GJ; Baiocchi MT; Liu VX; Plimier CC; Schuler A

BMJ. 2021 08 11;374:n1747. Epub 2021-08-11.

Current Position(s):

Section Affiliations:

Primary Research Interests:

Studies

Effectiveness and safety of treatments for hospitalized patients with COVID-19

Sepsis on FHIR

Understanding and Informing Early Hospital Antibiotic Prescribing for Potential Infection

Targeting Cardiovascular Events to Improve Patient Outcomes After Sepsis

Using EHR Audit Logs to Capture Diagnostic Pathways and Time to Diagnosis

Identifying Pre-Sepsis Opportunities for Early, Targeted Intervention

Benchmarking Hospital Quality - Template Matching

Benefits of Intensive Care Unit Admission for Patients with Acute Respiratory Failure or Sepsis

Data-Driven Precision Medicine in Sepsis

Highlighted Publications

Publications

Evaluation of an intervention targeted with predictive analytics to prevent readmissions in an integrated health system: observational study

The Coming of Age of Implementation Science and Research in Critical Care Medicine

Performance of Predictive Models for 30-day Hospitalization and Mortality after COVID-19 Infection

Development of a healthcare system COVID Hotspotting Score in California: an observational study with prospective validation

Algorithmic prognostication in critical care: a promising but unproven technology for supporting difficult decisions

Connecting Research and Practice: Implementation of Suicide Prevention Strategies in Learning Health Care Systems

Association of Positive Fluid Balance at Discharge After Sepsis Management With 30-Day Readmission

Association Between Troponin I Levels During Sepsis and Post-Sepsis Cardiovascular Complications

Regionalization of Acute Myeloid Leukemia Treatment in a Community-Based Population: Implementation and Early Results

Incidence of 30-Day Venous Thromboembolism in Adults Tested for SARS-CoV-2 Infection in an Integrated Health Care System in Northern California

Equitably Allocating Resources During Crises: Racial Differences in Mortality Prediction Models

Characteristics and Outcomes of Clinic Visits Immediately Preceding Sepsis Hospitalization

The Presentation, Pace, and Profile of Infection and Sepsis Patients Hospitalized Through the Emergency Department: An Exploratory Analysis

Nonstationary Multivariate Gaussian Processes for Electronic Health Records

Sepsis Subclasses: A Framework for Development and Interpretation

Racial Disparities in COVID-19 Testing and Outcomes : Retrospective Cohort Study in an Integrated Health System

Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration. Reply

Context is Key: Using the Audit Log to Capture Contextual Factors Affecting Stroke Care Processes

Reducing Readmissions for Chronic Obstructive Pulmonary Disease in Response to the Hospital Readmissions Reduction Program

Measurement of Sepsis in a National Cohort Using Three Different Methods to Define Baseline Organ Function

The future of AI in critical care is augmented, not artificial, intelligence

Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration

Expanding Post-discharge Readmission Metrics in Patients with Chronic Obstructive Pulmonary Disease

Predicting preventable hospital readmissions with causal machine learning

Assessment of Value of Neighborhood Socioeconomic Status in Models That Use Electronic Health Record Data to Predict Health Care Use Rates and Mortality

Estimates of Workload Associated With Suicide Risk Alerts After Implementation of Risk-Prediction Model

Developing a template matching algorithm for benchmarking hospital performance in a diverse, integrated healthcare system

Association of a Novel Index of Hospital Capacity Strain with Admission to Intensive Care Units

Validation of Postpartum Hemorrhage Admission Risk Factor Stratification in a Large Obstetrics Population

Incidence, clinical outcomes, and transmission dynamics of severe coronavirus disease 2019 in California and Washington: prospective cohort study

COVID-19: Long-term Planning for Procedure-based Specialties During Extended Mitigation and Suppression Strategies

The Impact of Step-Down Unit Care on Patient Outcomes After ICU Discharge

Comparison of Early Warning Scoring Systems for Hospitalized Patients With and Without Infection at Risk for In-Hospital Mortality and Transfer to the Intensive Care Unit

Characteristics of Hospitalized Adults With COVID-19 in an Integrated Health Care System in California

Evaluation of automated computed tomography segmentation to assess body composition and mortality associations in cancer patients

Associations of CYP2C9 and CYP2C19 pharmacogenetic variation with phenytoin-induced cutaneous adverse drug reactions

From Containment to Mitigation of COVID-19 in the US

Assessment of Electronic Health Record Search Patterns and Practices by Practitioners in a Large Integrated Health Care System

Association Between Peripheral Blood Oxygen Saturation (SpO2)/Fraction of Inspired Oxygen (FiO2) Ratio Time at Risk and Hospital Mortality in Mechanically Ventilated Patients

'No growth to date'? Predicting positive blood cultures in critical illness

Web Exclusive. Annals for Hospitalists Inpatient Notes - The Role of Hospitalists in the Creation of Learning Healthcare Systems

Goldilocks, the Three Bears and Intensive Care Unit Utilization: Delivering Enough Intensive Care But Not Too Much. A Narrative Review

The Role of Professional Organizations in Fostering the Early Career Development of Academic Intensivists

Multiyear Rehospitalization Rates and Hospital Outcomes in an Integrated Health Care System

Enhanced Recovery After Surgery to Change Process Measures and Reduce Opioid Use After Cesarean Delivery: A Quality Improvement Initiative.

More Than We Bargained For: The "Dominating" Cost Effectiveness of Sepsis Quality Improvement?

Do no harm: a roadmap for responsible machine learning for health care

Assessing the clinical impact of CYP2C9 pharmacogenetic variation on phenytoin prescribing practice and patient response in an integrated health system

Effect of donor, component and recipient characteristics on hemoglobin increments following red blood cell transfusion

Identifying Common Predictors of Multiple Adverse Outcomes Among Elderly Adults With Type-2 Diabetes

Assessing clinical heterogeneity in sepsis through treatment patterns and machine learning

Postoperative Opioid Use Before and After Enhanced Recovery After Surgery Program Implementation

The number needed to benefit: estimating the value of predictive analytics in healthcare

To catch a killer: electronic sepsis alert tools reaching a fever pitch?

The Impact of Pharmacy-specific Predictors on the Performance of 30-Day Readmission Risk Prediction Models

Association between Inpatient Delirium and Hospital Readmission in Patients ≥ 65 Years of Age: A Retrospective Cohort Study

Statistical Modeling and Aggregate-Weighted Scoring Systems in Prediction of Mortality and ICU Transfer: A Systematic Review

Inpatient electronic health record maintenance from 2010 to 2015

Long-Term Outcomes Among Patients Discharged From the Hospital With Moderate Anemia: A Retrospective Cohort Study

Association between Inhaled Corticosteroid Use and Pulmonary Nontuberculous Mycobacterial Infection

Associations of ICU Capacity Strain with Disposition and Outcomes of Patients with Sepsis Presenting to the Emergency Department

Toward the "Plateau of Productivity": Enhancing the Value of Machine Learning in Critical Care

Risk Adjustment for Hospital Characteristics Reduces Unexplained Hospital Variation in Pressure Injury Risk

Mortality Measures to Profile Hospital Performance for Patients With Septic Shock

The Impact of Acute Organ Dysfunction on Long-Term Survival in Sepsis