Customer Satisfaction can be described as the fulfilment that customers obtain from doing business with a firm. In simpler terms, it's how pleasant the customers transaction and overall experience with the company was. Customers obtain satisfaction when their needs are met on consuming a product or a service effortlessly, which being more convenient makes them loyal to the firm. Hence, customer loyalty can be easily gained through satisfaction of customers. In our investigation, we focus on the customer satisfaction with the goods and services offered by MYDIN at Bukit Jambul Complex, Bayan Lepas, Pulau Pinang. We have referred to marketing mix such as product, place, promotion and price to measure customer satisfaction. To obtain information and data on customer satisfaction, we conducted a survey to MYDIN and interviewed some of its customers and employees. The result of the study indicate that the methods used are very effective in measuring customer satisfaction.

Marking Attendance is the most common way to know the physical presence of an individual. But it is challenging when it comes to manual attendance system, which is followed in most of the places. Calling out each student's registration number one by one is a tedious task. Day by Day the number of students in schools and universities is increasing hence, making it more difficult in managing and maintaining the attendance records. Automation is the need in every sector to reduce the human effort. Computer vision is a part of automation where computer replicates the human vision system and performs an understanding of useful information from images. It is a boon for many problems, attendance system can also be transformed from manual sheets to face recognition. This paper proposes a framework for developing an attendance system using Face Recognition. This system comprises an Android Application that can be installed on professor's mobile phone. Through the application, the camera can be unlocked to capture images. Each student’s image is captured and stored for training. OpenCV is used with a machine learning algorithm to search for faces within a single image. Once faces are found it is trained using KNN (K Nearest Neighbor) classifier. New images are compared with pre-existing images stored in the database using the KNN algorithm. Attendance is automatically recorded when the faces are matched, if not either the student is new and it is added in database or it is declared as a false attendance i.e., proxy. In this way accuracy is also maintained, thus making attendance process easier and efficient.

BackgroundAcute pain assessment and management in trauma victims is often overlooked in emergency department (ED). Visual analogue scale is the preferred scale for assessment and management of pain however, its role in a busy ED is limited. The objective of this study was to evaluate the feasibility of verbal and visual analogue scale among emergency care providers.MethodsEmergency caregivers were instructed to use both pain scales wherever feasible for assessment, management, and monitoring of pain in 100 non-consecutive alert patients. A separate, pre-tested survey questionnaire addressing the feasibility of each pain scales was surveyed among emergency care providers (emergency physicians, nursing staff). A Likert scale (1 to 5) was assessed for cooperativeness, availability of time for assessment, the format, the peak period feasibility, the monitoring ease and the amount of work load. Binary scale (yes and no) was used to measure the overall utility in assessment and management of pain.ResultsOut of 100 patients enrolled, the verbal analogue score was used in all patients and visual analogue score was used in 30 patients. The average Likert scale score for verbal analogue score questionnaire was 1.7 and the average Likert scale score for visual analogue score questionnaire was 3.9. On the overall utility both scales were found to be useful in all patients.ConclusionsBoth the scales were found to be useful in overall assessment and management of pain. However, there was a favorable trend towards using verbal analogue scale among emergency care providers.

Abstracts -17th World Congress on Disaster and Emergency Medicine Prehospital and Disaster MedicineVol. 26, Supplement 1Most of the accidents took place on highways (57.2%), commonest being the road traffic accidents (55.1%), brought by relatives (74%). The mean duration for hospital stay was 5.42 days (SD ± 8.312 days, range 1-79 days). 10% patients required resuscitation at the time of admission. Details of Glasgow coma scale were available; details regarding CT scan findings were available for 300 patients. Good recovery was seen in 68.4% and the mortality was in 7.2%. Further details on vital parameters and investigations included in the study were also collected. Objective: The objective of this study was to determine the accuracy of emergency physicians in detecting free fluid in the abdomen when compared to radiologists during w primary survey of trauma victims by focused assessment with sonography for trauma (FAST) scan in the emergency department. Methods: This prospective study was performed during a primary survey of the resuscitation of non-consecutive patients in the resuscitation bay. The study subjects included emergency physicians (EP) [one emergency medicine (EM) consultant, two EM residents, one orthopedic resident, and one surgical resident] who underwent training at a three-day workshop on emergency sonography and performed 10 supervised positive and negative scans for free fluid. The FAST scans were performed by the EPs and then by the radiology resident (RR Background: The pyramid of pain management involves sequential drug escalation but its role is limited in an emergency department (ED). The efficacy of parental opioid analgesics versus non-opioid analgesic in acute pain management of trauma victims in the ED was evaluated to formulate protocol. Methods: All alert patients with a baseline visual analogue scale score ( ≥ 7) was randomly assigned either parental non-opioid (Group A) or opioid analgesics (Group B). The emergency care providers noted the VAS in either group at 15 minutes, 30 minutes, and 60 minutes, and at the time of discharge from the ED. If the patient's VAS score did not reduce by 50% at 30 minutes, repeat parental analgesics was given. The oral analgesics prescribed at the time of discharge were documented. Ethical clearance was taken. Data was compiled and analyzed. Results: Of 106 patients, 99 were analyzed. The mean age in Group A was 33.2 ± 13.2 years and 32.5 ± 18 years in Group B. ConclusionsThe male:female ratio in Group A was 1.5:1 and 7:1 in Group B.The average baseline VAS score in Group A was 7.5, and that of Group B was 8.96. The average VAS at 15, 30, and 60 minutes and at discharge in Group A was 5.4, 5.34, 4.3, and 3.5 and it was 6.1, 6, 5.1, and 4.4. Repeat parental dose of analgesics were required in 95/99 (95%) patients in Group A and 5% that of Group B. The most common prescription at discharge from ED was non-opioid analgesics. Conclusions: Acute pain relief was comparable in both groups. Non-opioid analgesics may be preferred over opioid in VAS scor...

Background: Rapid access clinics are an increasingly common model of care in tertiary hospitals. Early streaming of suitable patients to appropriate clinic services could reduce Emergency Department overcrowding. This study set out to investigate the current utilisation of rapid access clinic dispositions in a tertiary centre. The findings have led to useful mapping of local services and early nurse led identification of patients suitable for streaming to clinic locations. Methods: A cross-sectional observational study in a tertiary centre. Complete lists of consecutive discharged Emergency Department patients were generated by a trained data manger. Individual electronic medical records were reviewed for evidence of clinic disposition, patient demographics and compared with concurrent Emergency Department patients who were not referred. Results: 1367 patients included from 144 h of consecutive weekday presentations. Referral to clinic locations occurred in 179/1357 (13.2%) with rapid access clinics utilised in 129/179 (70.4%). No difference in median length of stay was observed for patients referred to clinics (3.9 h) versus patients not referred (3.8 h) (p = 0.29). Conclusion: In a tertiary Emergency Department setting, discharged patients were frequently referred to rapid access clinics. Early streaming to suitable outpatient locations may be an additional strategy to consider for mitigating Emergency Department overcrowding.