Difference between revisions of "ZAN Project Overview"
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The main objective of the project would be to develop the following: | The main objective of the project would be to develop the following: | ||
| − | # | + | The objective of the project would be to develop the following: |
| − | #* To | + | # Analysis of Hospital X's inpatients data |
| − | + | #* To understand the data domains | |
| − | #* | + | #* To identify the contributing factors that lead patients to defaulting appointments |
| − | #* | + | #* To analyse any pattern among the patients that defaulted their appointments |
| − | #* | + | #* To evaluate the feasibility of creating a predictive model or a description model |
| − | # | + | # Recommendations based on findings |
| − | #* To help | + | #* To help stakeholders understand the analysis of the findings |
| − | #* To | + | #* To consider the feasibility of a visual aid such as dashboard to aid in the stakeholders' future reference |
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<div style="background: #F5FFFA; padding: 12px; font-family: Arimo; font-size: 18px; font-weight: bold; line-height: 1em; text-indent: 15px; border-left: #2E8B57 solid 32px;"><font color="##4682B4">Provided Data</font></div> | <div style="background: #F5FFFA; padding: 12px; font-family: Arimo; font-size: 18px; font-weight: bold; line-height: 1em; text-indent: 15px; border-left: #2E8B57 solid 32px;"><font color="##4682B4">Provided Data</font></div> | ||
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| − | The data | + | The data is withheld until the NDA agreement is signed |
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| − | + | Work in progress | |
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<div style="background: #F5FFFA; padding: 12px; font-family: Arimo; font-size: 18px; font-weight: bold; line-height: 1em; text-indent: 15px; border-left: #2E8B57 solid 32px;"><font color="##4682B4">Project Scope</font></div> | <div style="background: #F5FFFA; padding: 12px; font-family: Arimo; font-size: 18px; font-weight: bold; line-height: 1em; text-indent: 15px; border-left: #2E8B57 solid 32px;"><font color="##4682B4">Project Scope</font></div> | ||
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| − | + | While the project will revolved around the above objectives, our project sponsor is flexible to allow us to explore other possible relevant analytical tools or techniques that would enhance the findings. | |
| − | # | + | #The dataset is limited to records from 2015 to 2016, which prevent any seasonal or yearly analysis |
| − | + | #The dataset is only pertained to our project sponsor’s department, which tends to younger patients from the age of 18 years old and below. | |
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Revision as of 10:46, 31 December 2016
Project Description
Hospital X is a pioneer tertiary hospital that provides a comprehensive range of medical and rehabilitative services for children, adolescents, adults and the elderly.This project plans to make use of the dataset provided by our project sponsor to analyse if there is any relationship between the variables and to create a predictive model for likelihood of a patient in defaulting appointments.
Motivation
Our project sponsor is a medical professional working for Hospital Y. He specialises in tending to younger patients from the age of 18 years old and below. Patients are usually referred to Hospital X by other medical institutions or they booked an appointment directly. Currently, Hospital X experiences high defaulted or missed appointments rate of about 21% for first visits and 19% for review visits. Defaulted appointments lead to longer appointment lead times, lower operation productivity and overall lower quality of care. Freeing up the time wasted by patients’ no-show would improve utilisation of slots, and even reduce appointment wait time for other patients. By sponsoring this project, our sponsor also hopes to tap into the under-utilised administrative data that is collected by the hospital daily.
Objective & Goals
The main objective of the project would be to develop the following:
The objective of the project would be to develop the following:
- Analysis of Hospital X's inpatients data
- To understand the data domains
- To identify the contributing factors that lead patients to defaulting appointments
- To analyse any pattern among the patients that defaulted their appointments
- To evaluate the feasibility of creating a predictive model or a description model
- Recommendations based on findings
- To help stakeholders understand the analysis of the findings
- To consider the feasibility of a visual aid such as dashboard to aid in the stakeholders' future reference
Provided Data
The data is withheld until the NDA agreement is signed
Methodology
Work in progress
Project Scope
While the project will revolved around the above objectives, our project sponsor is flexible to allow us to explore other possible relevant analytical tools or techniques that would enhance the findings.
- The dataset is limited to records from 2015 to 2016, which prevent any seasonal or yearly analysis
- The dataset is only pertained to our project sponsor’s department, which tends to younger patients from the age of 18 years old and below.
