Health
Channel | updated May 07, 2013
Health sciences and tips on staying healthy. Learn more about the research taking place at the Harvard-MIT Division of Health Sciences and Technology
ENGINEERyourHEALTH: Sleep Smartly
ENGINEERyourHEALTH: Sleep Smartly
ENGINEERyourHEALTH is an awareness initiative dedicated to instilling the perception of health and wellness as a significance and a priority, primarily focused around "condition management" and evolving into a universal understanding that health is critical to the success and future of our ...
Health Information Systems to Improve Quality of Care in ...
Health Information Systems to Improve Quality of Care in Resource-Poor ...
Topic: Correcting healthcare inequities in the developing world, through translational research and advocacy for HIV, TB, and maternal health. Instructor: Joia Mukherjee, Medical Director of Parters in Health
Health Information Systems to Improve Quality of Care in ...
Health Information Systems to Improve Quality of Care in Resource-Poor ...
Topic: Goals, design and impact of health information systems in developing countries. Instructor: Hamish Fraser, Harvard Medical School and Partners in Health
Health Information Systems to Improve Quality of Care in ...
Health Information Systems to Improve Quality of Care in Resource-Poor ...
Topic: Overview of quality improvement: the nature and extent of medical errors, and how healthcare organizations should respond when adverse events occur. Instructor: Leo Anthony Celi, founder and executive director of Sana
Health Information Systems to Improve Quality of Care in ...
Health Information Systems to Improve Quality of Care in Resource-Poor ...
Topic: Principles of innovation and new practices adoption which can guide successful quality improvement projects. Instructor: Jonathan Jackson, founder and CEO of Dimagi
Health Information Systems to Improve Quality of Care in ...
Health Information Systems to Improve Quality of Care in Resource-Poor ...
Topic: Health systems research: Case studies in East Africa. Instructor: Martin Were, Indiana University
Health Information Systems to Improve Quality of Care in ...
Health Information Systems to Improve Quality of Care in Resource-Poor ...
Topic: Evaluating process and outcome metrics in the context of quality; or, what is quality and why should we bother to measure it? Instructor: Lisa Hirschhorn, Harvard Medical School and clinical advisor for JSI Research and Training Institute
Health Information Systems to Improve Quality of Care in ...
Health Information Systems to Improve Quality of Care in Resource-Poor ...
Topic: A perspective on monitoring and evaluation, focusing on healthcare use. Instructor: Chaitali Sinha, International Development Research Centre (IDRC)
Health Information Systems to Improve Quality of Care in ...
Health Information Systems to Improve Quality of Care in Resource-Poor ...
Topic: Design and lead systems changes using "positive deviance." This approach identifies and promotes the positive outliers in a community, rather than directly focusing on fixing "what's wrong" in the community. Instructor: Jessica Haberer, Harvard Initiative for ...
Health Information Systems to Improve Quality of Care in ...
Health Information Systems to Improve Quality of Care in Resource-Poor ...
Topic: Evaluating and improving patient safety in resource-poor settings. Instructor: Pedro Delgado, Executive Director of Institute for Healthcare Improvement
Health Information Systems to Improve Quality of Care in ...
Health Information Systems to Improve Quality of Care in Resource-Poor ...
Topic: This lecture on process improvement theory and application introduces the PDSA (plan—do—study—act) model and describes its application in healthcare settings. Instructor: Brandon Bennett
Health Information Systems to Improve Quality of Care in ...
Health Information Systems to Improve Quality of Care in Resource-Poor ...
Topic: The World Health Organization Safe Surgery and Safe Childbirth Programs. Instructors: Alvin Kwok, Priya Agrawal (Harvard School of Public Health, WHO)
Understanding Chemotherapeutic Drug Targets
Understanding Chemotherapeutic Drug Targets
Dr. Nozomi Ando conducts research on a protein that is essential for DNA synthesis, repair and replication. She explains how this protein is in equilibrium between an active and an inactive form, and how discovering strategies to lock the protein in the inactive ...
ENGINEERyourHEALTH: Regulate Weight
ENGINEERyourHEALTH: Regulate Weight
ENGINEERyourHEALTH is an MIT awareness initiative dedicated to instilling the perception of health and wellness as a significance and priority.
SOLUTIONS with/in/sight: Understanding the Path to ...
SOLUTIONS with/in/sight: Understanding the Path to Personalized Cancer Care
This with/in/sight program on Nov. 7, 2012, featured three experts exploring the future of cancer diagnostics and treatments that are personalized to the unique attributes of each patient and their cancer: Nikhil Munshi, multiple myeloma physician at Dana-Farber Cancer ...
Lean Thinking in an Academic Medical Center -- The Beat ...
Lean Thinking in an Academic Medical Center -- The Beat Goes On - Dr. John ...
About the Presentation The University of Michigan Health System (UMHS) has been on the lean journey for the past seven years, creating the Michigan Quality System. UMHS has over 20,000 faculty, staff, and trainees. The goal is to create 20,000 problem solvers who are ...
MIT News at Noon with Burcu Erkmen
MIT News at Noon with Burcu Erkmen
Berkmen discusses her research with Professors Utkan Demirci and Ed Boyden in developing 3-D brain tissue constructs.
Targeting Cancer's Protein Folding Apparatus
Targeting Cancer's Protein Folding Apparatus
Paul Chang, Assistant Professor of Biology at MIT, explains his lab's recent discovery that the protein PARP16 plays an important role in the cell's response to unfolded proteins, and could be a target for future cancer therapies.
On the hunt for rare cancer cells
On the hunt for rare cancer cells
Jellyfish-inspired device that rapidly and efficiently captures cancer cells from blood samples could enable better patient monitoring.