Healthcare_Dialoguing [Data Analysis and Visualization]

Data Analysis and Visualization

1. Data Analysis and Visualization Healthcare Dialoguing By Group 2

2. Table of contents Visualisations from Excel, IBM Cognos and Tableau The problem defined The tools available Comparing gotten results from expected And the challenges faced with each of them 01 04 02 05 03 Introduction Techniques The Task Results Analysis

3. Introduction 01 The Problem Defined

4. Introduction When we think about using data and software to improve healthcare as an objective, our first thought is usually about reducing the cost of healthcare, but another goal that has emerged recently has been to improve the overall health of individuals by perhaps identifying a person's health risks sooner, rather than focusing on a diagnosis that is based upon reported or observed Healthcare data or health information is defined as data relating to a person's medical history, which includes symptoms, diagnoses, procedures, and outcomes. The purpose of this healthcare information is to provide useful and meaningful insights so that it can be used properly and effectively to achieve an objective.

5. “During the history of medicine, we have not been involved in healthcare; no, we've been consumed by sickcare. We wait until someone is sick and then try to treat that person. Instead, we need to learn how to avoid illness and learn what will make us healthy.” —Linda A. Winters-Miner, PhD

6. What is dialoguing? Patient dialoguing can help healthcare by identifying risks and making predictive recommendations. It’s characteristics include: Symptoms reported by patients Questions asked by physician or/and patients. Length of conversation during consultation For this presentation we will be using the provided data.

7. Techniques 02 The Tools Available

8. Data collection techniques Gathering and reviewing data Analysis using tools

9. Building the project Part of dialog data file

10. Building the project Patient history section

11. Building the project Link to sheets

12. The task 03 And the challenges faced with each of them

13. The task The task was to use IBM Watson Analytics to review our results and get this:

14. Challenges faced IBM Watson Analytics is no longer available The task was to create predictions but the tools we had access to could not perform those functions. Tableau is for data visualization Excel for data presentation and visualization IBM Cognos for data visualization and analysis

15. Results 04

16. IBM Cognos

17. Comparison between data fields

18. Tableau

19. Analysis 05 Comparing gotten results from expected

20. The results that could have been gotten if IBM Watson Analytics was used.

21. The results that could have been gotten if IBM Watson Analytics was used.

22. Thanks! Do you have any questions? Please keep this slide for attribution