The Healthcare Data & Delivery Science Certificate Program (previously the Health Equity Data & Delivery Science Certificate Program) hosted by the Mongan Institute at Massachusetts General Hospital will equip clinician scientists and early career researchers with practical knowledge and fundamental skills in healthcare data science, healthcare delivery science, and health equity science.

Applicants are anticipated to have a master’s degree, medical degree, doctoral degree, or prior research experience conducting research in relevant fields

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At the end of the program, participants will be able to:​​

• Describe the principles and practices used in healthcare data science, healthcare delivery science, and health equity science.

• Apply healthcare data and delivery science methods to clinical, care delivery, and public health problems

• Identify which study designs are best suited to different clinical, care delivery, or public health research questions

• Describe approaches to evaluating healthcare quality and outcomes through observational research using electronic health records, healthcare claims, data registries, and large data sets

• Describe approaches to improving healthcare delivery including quality improvement, designing and testing interventions, pragmatic trials, implementation science, and learning health system science

• Understand qualitative and quantitative methods and analytical techniques in health equity data and delivery science and their application to real-world research projects or problem-sets

• Apply skills to develop a research question, specific aims, testable hypothesis, and approach for your own project

 

The Healthcare Data & Delivery Science Certificate Program is designed to accommodate the schedules of busy professionals using a hybrid design that includes virtual lectures and interactive small group sessions along with a series of in-person workshops.  ​

 

Following an overview of fundamentals of healthcare data and delivery science, participants will select one of two concentrations:

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Healthcare Data & Observational Research: T​​​​his concentration will provide an overview of observational research methods and study designs, including using electronic health records, healthcare claims data, registries, publicly available data sets to address critical research questions, as well as understanding the potential application of artificial intelligence/machine learning in clinical informatics.

 

Intervention & Implementation Research: This concentration will provide an overview of theories, methods, and analytical techniques relevant to intervention development, randomized trial design, pragmatic trials, implementation research, and learning health systems research.

 

Upon completion of the certificate program participants will have developed a capstone research idea and design focused on their own area of interest and expertise.