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Registry vs. EHR Data for Real-World Evidence Generation: Heart Failure as a Case Study



Tue, Aug 30, 2022 11:00 AM EDT Demand for real-world evidence (RWE) is rising. But which data sources can meet the need for actionable RWE? EHR vs. registry data—which is better?

Register Free: https://www.pharmexec.com/pe_w/evidence-generation

Event Overview:

Demand for real-world evidence (RWE) that can be derived from existing data sources has risen dramatically. But which data sources can meet the need for actionable RWE?
This presentation will compare and contrast the view of heart failure patients as seen from the perspectives of two large, but distinct, sources of real-world data, both of which contain data points needed for studies of heart failure, such as left ventricular ejection fraction (LVEF) and BMI:

  • The Veradigm Cardiology Registry: cardiology’s largest outpatient quality improvement registry
  • Practice Fusion: an industry-leading, cloud-based ambulatory EHR

Key Learning Objectives:

  • Understand how RWE varies across EHR and patient registries in terms of collection and content
  • Examine the implications of these differences for identifying key patient populations to strengthen understanding of heart failure management
  • Review how these differences can impact potential recruitment for observational research or clinical trials

Who Should Attend:

  • Healthcare biopharma and other industry leaders focused
    • real world evidence
    • real world data
    • health economics outcomes research (HEOR)
    • observational research
    • clinical trial recruitment

Mac Bonafede
Vice President of Research Consulting

Mac is Vice President of Research Consulting at Veradigm, where he leads a team of data scientists, statisticians, and epidemiologists in conducting and guiding real-world health economics and outcomes research studies. Mac’s team is adept at using varied real-world data sources to generate real-world evidence findings in a range of therapeutic areas.

Before joining Veradigm, Dr. Bonafede was with IBM Watson Health (previously Truven Health Analytics and Thomson Reuters Healthcare). Prior to that, he served on the faculty of the Albany College of Pharmacy, where he taught courses covering research and statistical methods, total quality management, and evidence-based medicine.

Dr. Bonafede continues to teach in the University of New Hampshire Department of Health Management and Policy’s Master’s Degree in Health Data Science. He holds a PhD in health services research and policy, and a master’s degree in public health, both from the University of Rochester. Outside of work, Mac is likely to be found working on his family’s 200-year-old farmhouse in southern New Hampshire or unsuccessfully trying his hand at small-scale agriculture and homesteading.

Nam Nguyen
Vice President of Research Consulting
Medical Informatics & Data Science

Nam is a medical informaticist and data scientist who is passionate about transforming health data into insights to improve patient outcomes. Nam offers over 15 years of experience in medical informatics, technical data product management, health data management of real-world data, HIPAA de-identification, quality measure R&D, managing NLP and data science initiatives, and health software solution development and quality assurance.

Nam came to Veradigm through Practice Fusion, where he served as Director of Health Data Management. There, he worked with the data science and life sciences teams to build, de-identify, and maintain the research-ready dataset of the Practice Fusion ambulatory data.

Prior to Practice Fusion, he was at IMS Health for eight years. At IMS Health, Nam served as a Senior Product Manager in the Global Payer and Provider group. His solutions at IMS focused on the transformation of health care data (claims, EHR data, outcomes) into a variety of formats (OMOP, FHIR, custom), with a focus on data on-boarding for population health analytics (provider cost of care, HEDIS, NQF, PQA, etc.), RWE studies, and Health IT initiatives. He also is experienced in customer engagement and relationship management for technical programs and products with the nation’s largest health plans, including short-term and long-term solution deployment and customization management. This includes iterative releases of a health analytics platform and custom provider directory solutions for Cigna, Carefirst, BCBSNC, BCBSSC, BCBSNC, BCBSTN, Horizon, Premera, BCBSM, and Florida Blue.

As Vice President of the Medical Informatics & Data Science team at Veradigm, Nam is responsible for the stewardship necessary to make health data assets research ready for life sciences. His team works on a variety of initiatives around data de-identification, data preparation, machine learning, and natural language processing. His team’s motto is to get better data to clients faster in a compliant way. Today, this includes linking disparate de-identified datasets to get the research teams the data they need. He is an expert in privacy-preserving record linkage (PPRL) and regularly consults with the nation’s leading HIPAA experts on privacy and security trends of the day. Data linking also requires data engineering and feature engineering to make data from different sources have the same clinical meaning. In addition to the work continuously improving Veradigm’s data assets, the team is using machine learning and natural language processing to unlock new insight out of unstructured data. Nam and the team are also very active in the American Medical Informatics Association (AMIA) and regularly contribute to the greater medical informatics community through publications. Recently, manuscripts on using natural language processing to extract BMD, LVEF, and heart failure symptoms have been accepted.

Nam holds an MS in Entomology, specializing in systematics and phylogeny, from UC Davis; an Executive MBA from Quantic; and an MS in environmental management from University of San Francisco. He currently serves as the Vice Chair of the Privacy and Security workgroup of the Electronic Health Record Association, and is a HITRUST certified de-identification professional, a certified professional coder (AAPC, CPC), and is LEANSIGNMA certified.

Register Free: https://www.pharmexec.com/pe_w/evidence-generation

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