Titus K. L. Schleyer, DMD, PhD, MBA, FACMI, FAMIA

Contact : schleyer@regenstrief.org

The climate crisis is the existential challenge of our times. Informatics plays an important role in helping us understand and cope with the effects of the climate crisis on human and planetary health.

Initiatives

Informatics

Research Scientist, Clem McDonald Center for Biomedical Informatics, Regenstrief Institute
Program Director, Learning Health Informatics Program, Regenstrief Institute
Professor of Biomedical Informatics, Indiana University School of Medicine

Dr. Titus Schleyer leads the Learning Health Informatics Program, which is focused on using everyday patient care data to improve the health and healthcare of people in Indiana and beyond. A key focus of the program is mitigating or adapting to the climate crisis, and its effect on human health. Dr. Schleyer recently launched a study of the effects of changes in air quality in Indiana on multiple medical conditions.

Other projects include

an award-winning software application that helps emergency medicine clinicians at IU Health obtain relevant information about their patients from Indiana’s health information exchange more efficiently and effectively than previously possible;
optimally using medications to help diabetic patients control their blood glucose levels;
helping close the gap in cardiovascular morbidity and mortality between black and white prostate cancer patients; and
screening data in electronic health record databases to identify health disparities at scale.

An award-winning educator, Dr. Schleyer is focused on educating the next generation of biomedical informaticians. He co-directs the National Library of Medicine funded Indiana Public & Population Health Informatics Fellowship. He also mentors fellows in three other training programs.

Dr. Schleyer holds DMD and PhD degrees from the Goethe University in Frankfurt, Germany, and DMD and MBA degrees from Temple University in Philadelphia, Pennsylvania.

Featured Projects

Air quality in Indiana and its effect on health conditions

(National Science Foundation)

Role: Principal Investigator

Air quality has effects on multiple health conditions, such as asthma, chronic obstructive pulmonary disease and cardiovascular disease. This study will examine electronic health record data over a 7-year period to evaluate the effect of improvement (e.g. due to COVID-19) or deterioration (e.g. the 2023 Canadian Wildfire Smoke Cloud) in air quality on health.

Health Dart

(AHRQ)

Role: Principal Investigator

Health Dart directly and seamlessly integrates data from the Indiana Network for Patient Care into Cerner to facilitate emergency medicine clinician access to relevant external information. It has been proven to increase use of information from Indiana’s health information exchange in all 15 IU Health emergency departments.

Treatment disparities in Type 2 Diabetes: A novel application of organizational decision support

(Regenstrief)

Role: Principal Investigator

This project examines potential disparities among under-resourced populations in prescribing for Type 2 Diabetes (T2D). It analyzes large numbers of medication decisions by clinicians to determine which decisions could have been improved. Our findings will enable targeted planning for how to ameliorate or eliminate disparities in the treatment of T2D.

Development and initial evaluation of a generalizable healthcare quality disparities screening tool

(IU Health)

Role: Principal Investigator

While healthcare disparities based on race and/or ethnicity are very common, most healthcare providers and organizations cannot easily identify and quantify those disparities specifically and efficiently in their own patient populations. This project proposes to build and evaluate a generalizable software tool that screens electronic health record data systematically and comprehensively for evidence of disparities. The tool will help healthcare organizations understand the nature and extent of disparities in their populations, and allow them to target their resources to address them more effectively and efficiently than currently possible.

Highlighted Publications

Sept 28, 2023

Directly integrating health information exchange data with the electronic health record increases HIE use by emergency department clinicians

Publication: Applied Clinical Informatics Open

doi: 10.1055/s-0043-1772583

Authors: Rivera RL, Hosler H, Jang JH, Schaffer J, Price J, Vest JR, Schleyer T

Jan 28, 2024

Visual analytics for data-driven understanding of the substance use disorder epidemic

Publication: INQUIRY Open

doi: 10.1177/00469580241227020

Authors: Quarooni D, Herr B, Zappone S, Wojciechowska K, Borner K, Schleyer T

July 11, 2023

Learning health system benefits: Development and initial validation of a framework

Publication: Learning Health Systems

doi: 10.1002/lrh2.10380

Authors: Welch L, Brewer S, Schleyer T, Daudelin D, Paranal R, Hunt J, Dozier A, Perry A, Cabrera A, Gatto C

Feb 2, 2023

Understanding comorbidities and health disparities related to COVID-19: A comprehensive study of 776,936 cases and 1,362,545 controls in the state of Indiana, USA

Publication: JAMIA Open

doi: 10.1093/jamiaopen/ooad002

Authors: Zidan N, Dey V, Allen K, Price J, Zappone S, Hebert C, Schleyer T, Ning X

May 2022

Predicting pharmacotherapeutic outcomes for type 2 diabetes: An evaluation of three approaches to leveraging electronic health record data from multiple sources

Publication: Journal of Biomedical Informatics

doi: 10.1016/j.jbi.2022.104001

Authors: Tarumi S, Takeuchi W, Qi R, Ning X, Ruppert L, Ban H, Robertson DH, Schleyer TK, Kawamoto, K

Jan 2021

Hybrid Collaborative filtering methods for recommending search terms to clinicians

Publication: Journal of Biomedical Informatics

doi: 10.1016/j.jbi.2020.103635

Authors: Ren Z, Peng B, Schleyer T, Ning X

Jan 7, 2019

Predicting the early risk of chronic kidney disease in patients with diabetes using real-world data

Publication: Nature Medicine

doi: 10.1038/s41591-018-0239-8

Authors: Ravizza S, Huschto T, Adamov A, Böhm L, Büsser A, Flöther FF, Hinzmann R, König H, McAhren S, Robertson D, Schleyer T, Schneidinger B, Petrich W

May 2019

Quantifying unmet need in statin-treated hyperlipidemia patients and the potential benefit of further LDL-C reduction through an EHR-based, retrospective cohort study

Publication: Journal of Managed Care & Specialty Pharmacy

doi: 10.18553/jmcp.2019.25.5.544

Authors: Schleyer T, Hui S, Wang J, Zhang Z, Knapp K, Baker J, Chase M, Boggs R, Jr. Simpson RJ

In The News

Influence

Featured Fellowship

People

NewsResearch letter calls for careful consideration of design and consequences of health disparity incentives in future value-based payment models

NewsRegenstrief Institute conference highlights innovations in public health data modernization

InfluenceSupply, demand, and a growing US kidney transplant waiting list

VideoDr. Grannis: What the data shows about prescribing, dispensing of antiviral flu meds

InfluenceImpact of Pre-Existing Frailty on Cardiotoxicity Among Breast Cancer Patients Receiving Adjuvant Therapy

Research letter calls for careful consideration of...

Titus K. L. Schleyer, DMD, PhD, MBA, FACMI, FAMIA

Featured Projects

Highlighted Publications