The Lab focuses on the discovery, development, and integration of informatics solutions to improve patient care, health outcomes, and healthcare delivery. Informatics plays a crucial role in general internal medicine and primary care by enhancing patient care, streamlining clinical workflows, and improving clinician and patient decision-making through the use of data and technology. The Lab focuses on high-value, patient- and clinician-centered solutions that mitigate the barriers to having the right information at the right time so that clinicians and patients can make the best decisions personalized to a patient’s needs and health care goals.
The Lab has a special focus on data interoperability and the use of data to inform real-world evidence. Member of the Lab have expertise in large language models, machine learning and data analytics, knowledge graphs, record linkage, national language processing (NLP), data standards and interoperability (including FHIR), medical applications (SMARTonFHIR), CQL (clinical quality language), and a variety of open-source tools. Expertise in medical applicationsapplies to mobile health, web, and EHR-integrated applications. Members of the lab are active participants in the Observational Health Data Science and Informatics community, which focused on real-world evidence generation. The Lab is highly attuned to the ethical concerns and considerations regarding authorized data use, individual privacy, and transparency of methods and data use. All good solutions begin with a thorough understanding of the problem and suggested solutions from those experiencing the problem. Our informatics-based solutions anchor on user-centered design and design thinking to ensure acceptable, feasible, and impactful solutions.
Lisa Schilling, MD, MSPH, FACP, FAMIA
Professor
The Lab is led Lisa Schilling, MD, MSPH, FACP, FAMIA, is a Professor of Medicine in the Division of General Internal Medicine at the University of Colorado Anschutz Medical Campus, with board-certifications in both Internal Medicine and Clinical Informatics. She is a well-regarded expert in research and clinical informatics, population health, and health services research. Dr. Schilling brings a wealth of experience in designing and implementing data-driven strategies to enhance healthcare equity and quality. Through her extensive experience and leadership in informatics, Dr. Schilling has contributed to advancing healthcare delivery, emphasizing the integration of data-driven strategies to enhance patient care and promote health equity. Her research emphasizes distributed data network infrastructures, the data quality lifecycle, the development of sharable and interoperable technologies, and record linkage technologies. A long-term OHDSI collaborator, she has expertise in the OMOP Common Data Model and the OHDSI tool stack. She also has expertise in the FHIR data standard, and use of the SMARTonFHIR platform for health-related applications.
Andrey Soares, PhD.
Assistant Professor
Dr. Andrey Soares, PhD, an Assistant Professor in the Department of Medicine, Division of General Internal Medicine at the University of Colorado Anschutz Medical Campus. He received his Ph.D. in Information Sciences and Technology from the Pennsylvania State University and completed postdoctoral training with the Data Science to Patient Value (D2V) initiative and the Computational Bioscience Program at the University of Colorado School of Medicine. His primary research interests include clinical decision support systems, natural language processing and data analytics with the goal of developing applications and digital solutions to support evidence-based decision making.
He contributes significantly to the Clinical Research Informatics and Innovation Unit (CRIIU), focusing on advancing interoperability and data standards for investigator-initiated research involving informatics solutions. His efforts enhance the integration of informatics in healthcare, supporting patient-centered outcomes and evidence-based medical practices.
William Baumgartner Jr. PhD
Assistant Professor
Dr. William A. Baumgartner Jr., is an Assistant Professor in the University of Colorado Anschutz Medical Campus, where he also plays a pivotal role in the Lab. Specializing in bioinformatics, natural language processing, knowledge representation and reasoning, and real-world evidence generation from EHR data, Dr. Baumgartner's research focuses on developing tools and methodologies for large-scale biomedical relation extraction and constructing biomedical knowledge graphs. His expertise significantly advances healthcare research and practice, particularly in enhancing the precision and utility of computational phenotypes through machine learning. By leveraging his skills in biomedical NLP and informatics, Dr. Baumgartner contributes to the creation of innovative computational tools that improve the extraction and integration of knowledge from biomedical texts and EHR data, thereby supporting advancements in healthcare research and practice.
Brad Morse, PhD.
Assistant Professor
Erin Latella
Research Services Senior Professional
Lisbeth Ellis
Research Services Professional
Bryant Doyle
IT Senior Professional
Research & Projects |
Develop Novel Methods to Identify and Characterize Family Relationships from Electronic Health DataSupplemental award: LinkAssist: Enhancing Record Linkage Adjudication Using Large Language Models, funding period:10/1/2024 – 3/31/26PI: Lisa M. Schilling, MD, MSPH and Toan C. Ong, PhD Grant Number: PCORI - ME-2022C1-25621 Funding Period: April 1, 2024 – June 30, 2027 Description: The project aims to enhance research methodologies by developing innovative techniques to identify and characterize familial relationships within electronic health records (EHRs). This advancement is expected to support both patient- and family-centered outcomes research by providing a more comprehensive understanding of family and env health dynamics. To ensure ethical adoption and application of these methods, the research team will engage patients and other stakeholders in designing an ethics framework and guidance materials for responsible conduct of research utilizing family and household linkage. |
An Interoperable, Reusable, and Scalable Shared Decision Aid Navigator System: Supporting the 5 Rights of Patient Shared Decision-Making PI: Lisa M. Schilling, MD, MSPH, and Andrey Soares, PhD Grant Number: R18 HS028578 Funding Period: September 1, 2022 – August 31, 2025 Description: This project aims to create a system that improves the implementation, integration, and scaling of patient shared decision aids into health informatics systems, thereby enhancing shared decision-making and patient-centered |
High Performance Text Mining for TranslatorPI: Dr. William A. Baumgartner Jr., PhD Grant Number: OT 2TR003422 Funding Period: January 23, 2020 – February 28, 2025 Description: This project focuses on development of high performing relation extraction methodologies to extract biomedical assertions from text at scale and construct a Biolink-compatible knowledge graph as part of the NCATS Biomedical Translator ecosystem. These projects highlight the significant contributions of Drs. Schilling, Soares, and Baumgartner in advancing health informatics and improving patient-centered outcomes through innovative research. |
A Health Information Resource Technology to Reduce Disparities in Transgender Health PI: Lisa M. Schilling, MD, MSPH, and Bethany M Kwan, PhD, MSPH Grant Number: G08 LM013200 Funding Period: August 1, 2019 – April 30, 2021 Description: This project focuses on developing a health information resource technology aimed at reducing disparities in transgender health. |
SAFTINet: Optimizing Value and Achieving SustainabilityPI: Lisa M. Schilling, MD, MSPH Grant Number: R01 HS022956 Funding Period: September 30, 2010 – December 31, 2015 Description: This project involves the Scalable Architecture for Federated Therapeutic Inquiries Network (SAFTINet), focusing on optimizing value and achieving sustainability in health data networks. |