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

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

This project is designed to pursue pre-sepsis opportunities to identify patients at high-risk for sepsis and develop risk prediction models to mitigate the impact of impending sepsis by leveraging granular electronic health record data.

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

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

Author(s): Adams JY; Rogers AJ; Schuler A; Marelich GP; Fresco JM; Taylor SL; Riedl AW; Baker JM; Escobar GJ; Liu VX

Perm J. 2020;24. Epub 2020-01-31.

Current Position(s):

Section Affiliations:

Primary Research Interests:

Studies

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

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

Healthcare Utilization and Infection in the Week Prior to Sepsis Hospitalization

Hospital-Acquired Pressure Injury: Risk-Adjusted Comparisons in an Integrated Healthcare Delivery System

Flexible, Cluster-Based Analysis of the Electronic Medical Record of Sepsis with Composite Mixture Models

Machine Learning and Sepsis: On the Road to Revolution

Comparing Hospital Processes and Outcomes in California Medicare Beneficiaries: Simulation Prompts Reconsideration

Prediction of Recurrent Clostridium Difficile Infection Using Comprehensive Electronic Medical Records in an Integrated Healthcare Delivery System

Individual and health system variation in rehospitalizations the year after pneumonia

Innovation and Technology: Electronic Intensive Care Unit Diaries

Identifying Distinct Subgroups of ICU Patients: A Machine Learning Approach

Enhanced Recovery After Surgery Program Implementation in 2 Surgical Populations in an Integrated Health Care Delivery System

Reply to the Timing of Early Antibiotics and Hospital Mortality in Sepsis - Playing Devil's Advocate

The Timing of Early Antibiotics and Hospital Mortality in Sepsis

Hospital Readmissions in Sepsis Survivors: Are They Preventable?

Validation of Administrative Definitions of Invasive Mechanical Ventilation across 30 Intensive Care Units

Evaluation Following Staggered Implementation of the "Rethinking Critical Care" ICU Care Bundle in a Multicenter Community Setting

Data that drive: Closing the loop in the learning hospital system

Piloting electronic medical record-based early detection of inpatient deterioration in community hospitals

Variation in the Contents of Sepsis Bundles and Quality Measures: A Systematic Review

Treatment of Alcohol Withdrawal Syndrome with and without Dexmedetomidine

Can You Read Me Now? Unlocking Narrative Data with Natural Language Processing

Loud and Clear: Sensory Impairment, Delirium, and Functional Recovery in Critical Illness

16 Years and Counting? Time to Implement Noninvasive Screening for ARDS

Predicting red blood cell transfusion in hospitalized patients: role of hemoglobin level, comorbidities, and illness severity

In-hospital mortality following treatment with red blood cell transfusion or inotropic therapy during early goal-directed therapy for septic shock: a retrospective propensity-adjusted analysis

Hospital Deaths in Patients With Sepsis From 2 Independent Cohorts

Towards Smarter Lumping and Smarter Splitting: Rethinking Strategies for Sepsis and ARDS Clinical Trial Design

Developing a framework for implementing intensive care unit diaries: a focused review of the literature

Data breaches of protected health information in the United States

Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges

Keeping Score of Severity Scores: Taking the Next Step

Developing a New Definition and Assessing New Clinical Criteria for Septic Shock: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)

Assessment of Clinical Criteria for Sepsis: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)

Multicenter Implementation of a Treatment Bundle for Sepsis Patients with Intermediate Lactate Values

Decreasing sepsis mortality at Kaiser Permanente Northern California

The Accuracy of an Electronic Pulmonary Embolism Severity Index Auto-Populated from the Electronic Health Record: Setting the stage for computerized clinical decision support

Impact of Relative Contraindications to Home Management in Emergency Department Patients with Low-Risk Pulmonary Embolism

Trends in red blood cell transfusion and 30-day mortality among hospitalized patients

Decreased Red Blood Cell Use and Mortality in Hospitalized Patients

Hospital readmission and healthcare utilization following sepsis in community settings

Increased one-year health care utilization in survivors of severe sepsis