This course provides an introductory survey of data science tools in healthcare. It was created by members of MIT Critical Data, a global consortium consisting of healthcare practitioners, computer scientists, and engineers from academia, industry, and government, that seeks to place data and research at the front and center of healthcare operations.
The most daunting global health issues right now are the result of interconnected crises. In this course, we highlight the importance of a multidisciplinary approach to health data science. It is intended for front-line clinicians and public health practitioners, as well as computer scientists, engineers, and social scientists, whose goal is to understand health and disease better using digital data captured in the process of care.
What you’ll learn:

Principles of data science as applied to health
Analysis of electronic health records
Artificial intelligence and machine learning in healthcare

This course is part of the Open Learning Library, which is free to use. You have the option to sign up and enroll in the course if you want to track your progress, or you can view and use all the materials without enrolling.

There are many benefits to EHRs — improved accessibility to patient data, increased charge capture and improved preventative health — there are inherent problems in adopting this technology.

EHR planning need to identify and eliminate waste in processes that involve the use of EHRs to ensure positive outcomes before making large investments. Lean management in healthcare is a valuable tool way to meet this objective as it educates hospital executives, clinicians and staff to seek out and eliminate waste.

Implementing new technology can create more problems, and the results can be "bad," or worse, "ugly." It is imperative that healthcare executives understand the benefits and challenges of EHRs and what can be done to eliminate them.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Hypoglycemia, or low blood glucose, is an important risk factor for people with type 2 diabetes receiving blood glucose-lowering therapies, such as insulin. It can lead to symptoms that interfere with activities of daily living and can sometimes (though rarely) result in debilitating events, including loss of consciousness. Basal insulins are designed to help maintain stable blood glucose levels throughout the day. Data from randomized clinical trials show that newer, second-generation basal insulin analogs (such as insulin glargine 300 units per mL and insulin degludec) have lower hypoglycemia risk than first- generation basal insulin analogs (such as insulin glargine 100 units per mL and insulin detemir), while providing comparable glycemic control. However, these randomized controlled trials may not truly reflect clinical practice, as they applied strict inclusion and exclusion criteria and were conducted under strict oversight dictated by very specific protocols..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

SEHRA (Sunshine EHR Academic), is an educational simulation of an electronic health records system using Access 2019 as the development platform. Piloted in December of 2019, SEHRA was successfully implemented in January of 2020, and became an essential part of SUNY Broome’s ability to take health science classes and clinicals online in March of 2020 in response to the COVID-19 pandemic. SEHRA continues to grow and is currently used in on-campus laboratories, remote courses, and for professional practice experience.