printer friendly pageMED 212: Methods for Health Care Delivery Innovation, Implementation and Evaluation (CHPR 212, HRP 218)
Preference given to postgraduate fellows and graduate students.Focus is on implementation science and evaluation of health care delivery innovations. Topics include implementation science theory, frameworks, and measurement principles; qualitative and quantitative approaches to designing and evaluating new health care models; hybrid design trials that simultaneously evaluate implementation and effectiveness; distinction between quality improvement and research, and implications for regulatory requirements and publication; and grant-writing strategies for implementation science and evaluation. Students will develop a mock (or actual) grant proposal to conduct a needs assessment or evaluate a Stanford/VA/community intervention, incorporating concepts, frameworks, and methods discussed in class. Priority for enrollment for
CHPR 212 will be given to CHPR master's students.
Terms: Win
| Units: 2
Instructors:
Asch, S. (PI)
;
Zulman, D. (PI)
MED 212A: MTRAM A: Translational Research Methods and Technologies: Cell Based Methods
In this quarter, students will learn the fundamentals of clinical sample processing, flow cytometry, CYTOF, Luminex, and nanoimmunoassays (NIA). Topics covered include applications, technical considerations, instrument set-up and QC, computational methods for data analysis, interpretation of results, and hands-on instrument demos. At its core, this course teaches the principles of the technologies, conducting data analysis and appreciating how the nature and type of data impact the analysis approach. This course is necessary to provide students with the broader skillset to conduct their capstone project and adapt and grow in the field as technologies change. Prerequisites: Acceptance and enrollment into MTRAM program. Exceptions need to be approved by the MTRAM directors. MTRAM students are required to take 3 units (lecture + lab). 1 unit course is lectures only (no lab).
Terms: Aut
| Units: 1-3
MED 212B: TR Technologies B - (Translational Proteomics)
In this quarter (Winter), students will learn the fundamentals of translational proteomics, antibody-drug conjugate analysis, peptide mapping, mass spectrometry operations and data analysis and data processing for mass spec experiments., how their applications and use drive translational research. At its core, this course teaches the principles of proteomics-based methods, conducting data analysis and appreciating how the nature and type of data impact the analysis approach. This course is necessary to provide students with the broader skillset to conduct their MTRAM capstone project and adapt and grow in the field as technologies change. Prerequisites: Acceptance and enrollment into MTRAM program. Exceptions need to be approved by the MTRAM directors. MTRAM students are required to take 3 units (lecture + lab). 1 unit course is lectures only (no lab).
Terms: Win
| Units: 1-3
| Repeatable
3 times
(up to 9 units total)
MED 212C: MTRAM Translational Technologies (TR): Translational genomics
This course is part of a three-quarter series (A, B, C) and complements courses offered as part of a master's in Translational Research and Applied Medicine (M-TRAM). (A: Fall: Biomarker Discovery; B: Winter: Translational Proteomics, C: Spring: Translational Genomics). In this quarter, students will learn the fundamentals of translational genomics, with the emphasis on single cell genomics. The topics will include library preparation, understanding the fundamental principles of the sequencing methods, types of single cell sequencing assays available and data analysis. The emphasis will be on how these methods are used to delineate immunologic cell types, their interactions with other cells in the local microenvironment and determining differential gene expression patterns and signatures. Lectures and labs will demonstrate how single cell immunogenomics are being applied to immunotherapy development. At its core, this course teaches the principles of genomics-based methosis and appreci
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This course is part of a three-quarter series (A, B, C) and complements courses offered as part of a master's in Translational Research and Applied Medicine (M-TRAM). (A: Fall: Biomarker Discovery; B: Winter: Translational Proteomics, C: Spring: Translational Genomics). In this quarter, students will learn the fundamentals of translational genomics, with the emphasis on single cell genomics. The topics will include library preparation, understanding the fundamental principles of the sequencing methods, types of single cell sequencing assays available and data analysis. The emphasis will be on how these methods are used to delineate immunologic cell types, their interactions with other cells in the local microenvironment and determining differential gene expression patterns and signatures. Lectures and labs will demonstrate how single cell immunogenomics are being applied to immunotherapy development. At its core, this course teaches the principles of genomics-based methosis and appreciating how the nature and type of data impact the analysis approach. This course is necessary to provide students with the broader skillset to conduct their MTRAM capstone project and adapt and grow in the field as technologies change. MTRAM students are required to take 3 units (lecture + lab). 1 unit course is lectures only (no lab).
Terms: Spr
| Units: 1-3
MED 213: The Digital Future of Health Care
Digital health tools, technologies, and services are poised to fundamentally reshape how patients and physicians interact. COVID-19 has only accelerated this transformation. In this weekly seminar series led by clinicians, digital health investors, and entrepreneurs, students will explore various digital health technologies and their impacts across the entire healthcare ecosystem, today and tomorrow. Application areas include: telemedicine, AI, wearables, social/behavioral interventions, and healthcare at home. In addition, discussions will cover the creation process of digital health solutions, the stakeholders involved (ranging from individual patients to healthcare enterprises), and the opportunities and challenges in the implementation of these solutions within healthcare's unique regulatory, organizational, cultural, and ethical contexts.
Terms: Win
| Units: 1
| Repeatable
10 times
(up to 10 units total)
MED 214: Frontier Technology: Understanding and Preparing for Technology in the Next Economy (CEE 114, CEE 214, MED 114, PSYC 114)
The next wave of technological innovation and globalization will affect our countries, our societies, and ourselves. This interdisciplinary course provides an introduction to emerging, frontier technologies. Topics covered include artificial intelligence, additive manufacturing and advanced robotics, smart cities and urban mobility, telecommunications with 5G/6G, and other key emerging technologies in society. These technologies have vast potential to address the largest global challenges of the 21st century, ushering in a new era of progress and change.
Terms: Aut, Spr
| Units: 1
MED 215: Causal Inference for Environment-Health Studies: A Survey of Recent Literature (HRP 215)
Climate Change is perhaps the defining health challenge of our generation. Yet, despite widespread awareness and prominence, clime change's health impacts are notoriously hard to estimate. This is partly because, after all, we only have one planet, and experimenting with climate change is not possible. There is a critical role for using state-of-the-art methods for causal inference using observational data in clarifying and quantifying the importance of climate change. This seminar accompanies the growing body of research on methodological approaches to estimating climate-health impacts, and surveys recent econometric and statistical methods for causal inference using observational data, including two-way fixed effects, difference-in-differences, and doubly robust estimations. The course is designed as a seminar series for graduate students with prior expertise and interest in inferential methods for climate-health research. Each week will focus on a different research methodology, with a discussant and synthesis of approaches for applied studies.
Last offered: Autumn 2022
MED 216: Generative AI and Medicine
This seminar course will explore the applications of Generative AI Technologies (ChatGPT, DALL-E, and many others) to medicine and healthcare. Course meetings will include a mix of outstanding speakers from health, business and technology as well discussions of burgeoning commercial and research projects in the space. We will ask students to brainstorm and informally pitch their own ideas for Generative AI projects to their peers and select faculty from academia and venture capital. All students are welcome. There are no prerequisites, but this course will be of interest to students who have taken
MED 213, "The Digital Future of Healthcare".
Terms: Spr
| Units: 1
Instructors:
Lin, B. (PI)
;
Norden, J. (SI)
MED 217: Inpatient Medicine Shadowing Rotation
The objective of this rotation is to provide second year medical students the opportunity to experience the application of their medical education to clinical scenarios in the hospital. Students will have a one-day weekend shadowing opportunity (either on Saturday or Sunday morning) with a dedicated internal medicine team and witness the evaluation and management of patients to better understand the roles of the different team members, the flow of rounds, and the functions of history taking and physical examinations to perform a patient assessment. Following the experience, the students will debrief with the course directions. Students will also attend virtual weekly lectures/discussions on Friday afternoon from 1:30-2:20pm to learn about the ins and outs of inpatient rotation logistics.
Last offered: Winter 2023
| Repeatable
4 times
(up to 4 units total)
MED 218: Principles of Business Strategy
Organizations need frameworks to plan for growth, respond to challenges and/or changes in the market, or tackle gaps in performance. This course explores how to assess business opportunities in dynamic, competitive environments to develop the insights that can lead to success. The frameworks developed in this course apply to for-profit and not-for-profit firms in the health care industry including provider organizations, pharmaceutical and medical device firms, payers, and information technology firms. In the course, students will explore the complexity of analyzing markets and assessing business strategy in an era of globalization and increasing uncertainty. Must have active enrollment within the Master of Clinical Informatics Management program.
Last offered: Summer 2023
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