Over the years Singapore's population has been steadily increasing from approximately 4.0 million in 2003 to 5.9 million in 2023. This growth is largely attributed to the increased in immigration while the average birth rate remains persistently low at around 1.1 to 1.3 children per woman. Coupled with the increasing life expectancy, Singapore is experiencing a rapid population aging with a 11% increase in the proportion of residents aged 65 and above since 2003. This has put an increased strained on the public health system which was evident during the Covid-19 pandemic in 2020 where 302.7/1000 residents aged 65 & above were admitted which is more than double that of those aged 15-64. The increased workload would lead to burnout in hospital staffs which can cause them to mistakenly administer the wrong medication to the patient, causing further complications. This project aims to ease the burden on nurses by automating part of the pill distribution process and reducing human error, leading to a more reliable and efficient medical system.
Objectives
- To design an intuitive system to use so that nurses do not need to go through extensive training to understand
- To reduce the chances of human error as a result of burnout from the high workload
- To expedite the process of medication distribution so that patients are able to receive their medications on time.
Research
- At Tan Tock Seng Hospital in Singapore, a nurse allegedly administered the wrong medication to a woman, leading to dehydration. This incident underscores the critical importance of accurate medication administration and the potential consequences of errors.
- In England, pharmacist Elizabeth Lee was involved in a case where a patient received the wrong medication, leading to significant legal and professional repercussions. This case emphasizes the legal implications of medication errors and the importance of stringent dispensing protocols.
- An elderly woman in a New Zealand aged care facility received incorrect doses of blood thinners on six occasions by six different nurses over five months. The errors were not identified until a year later, highlighting systemic failures in medication administration and incident reporting within the facility.
Project
- Stock Checker - Uses TOF sensor to check the stocks in the shelf to ensure that the medication is always available
- ID Verification - RFID sensor that checks the patients ID and display the medicine required by that patient
- Automatic Lock - A motor is used as a locking system to ensure that nurses do not open the wrong locker when it is not needed
- RGB Unit - A RGB Unit is used to light up the required locker which makes it easier to find
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