| If you are unable to view this email please click here
|
| |
| | | Workshop on Data-Driven Healthcare Storytelling & Decision-Making Course
| Schedule | Day 1: 19th April 2024 / Day 2: 26th April 2024
| | Course Duration | 9:00am to 5:00pm
| | Mode of Delivery | Face-to-Face Classroom Training
| | Venue | NUS-ISS, 25 Heng Mui Keng Terrace, S119615
| | Class Size | 20
| | Requirement | - Participants must have data set prior to class start. (Instructions will be provided on how to anonymize data during Pre-Class Briefing on 5 April 2024.)
- Bring your own Laptop
|
This course, specifically tailored for the professional sectors, is a strategic tool in enhancing digital literacy among staff, particularly in the healthcare industry. It addresses the crucial need for a comprehensive
understanding of data and its effective communication. By integrating the art of storytelling with rigorous data-driven analysis, the course ensures that participants develop a nuanced grasp of both data interpretation
and presentation.
|  |
A significant emphasis is placed on practical application, with participants engaging directly with healthcare datasets. This hands-on approach not only reinforces theoretical concepts but also fosters practical digital
competency, essential in today's data-rich environments.
The curriculum is designed to improve participants' ability to articulate complex data findings, a skill increasingly necessary for informed decision-making and strategic planning. By completing this course,
healthcare professionals will be better equipped to navigate the digital aspects of their roles, contributing to a more digitally literate and data-savvy workforce within the healthcare sector.
Who should attend
IHH staff who hold roles involving decision-making, problem-solving, or data-driven insights within their organisation or involved in productivity or clinical quality improvement, improving patient experience
Register Now ❯
| | | Registration Closing Date:
29 March 2024
Scan to Register
|
NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615
|
|  |
