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MEDICAL DIAGNOSIS SYSTEM (MDS)
Transcript of MEDICAL DIAGNOSIS SYSTEM (MDS)
Abdulaziz Ibrahim Al Absi 0909302
Hussam Ali Al Kuraythi 0858855
Dr. Waqar Ahmad Gulzar
Dr. Khalid Al Ghamdi ACKNOWLEDGMENT Introduction Comparing the result Work Conclusions After adding the medical diagnoses system instead of specialist process and letting the patients meet their doctor directly after finishing the x -ray process instead of revisiting again his specialist to give him permission to see his doctor, the result contain: We would like to thank our Advisor of this project, Dr.Waqar gulzar and our co-advisor Dr.Khalid Al Ghamdi for their valuable guidance and advice. They inspired us greatly through the work of this project. Their willingness to motivate us and precious ideas contributed tremendously to our project. Special thanks and appreciation are due to International medical center (IMC) who provides us the information required to finish this project .Also, we would like to take this opportunity to thank Dr. Farid Necolas Kassab the head of orthopedic section in IMC ,for his guidance to complete this project. Abstract This project dealt with certain aspects of the problem of patients waiting in international medical center (IMC).
To deal with this problem ASP.NET visual studio was used to develop an automated diagnosing system so that each patient can get initial diagnosis by using the system. Problem Definition Problem Investigation Aim & Objectives Steps for solving the problem Patient waiting has been defined as the time from the patient arrives to the clinic until the time patient actually received treatment.
One of the most important factors that influence the hospitals service quality is patient waiting time. All doctors need more time in order to properly take care of their patients. After interacting with (IMC) staff during the development of this project, we conclude few reasons why doctors can run late, next side will display IMC staff comments: •Dr.Fared kassab (head of orthopedic department in IMC)
Every day I have at LEAST one to five patient make me late for the next Patient, because of patients may show up late, or early, coming at wrong day. My treatment time will vary based on the patient mood and behavior on that day. •Dr.Ewasi (Orthopedic clinic IMC)
The "oh by the way" statement can add 30 minutes to a visit. And once you are late for half hour, then you are late half hour for the rest of the day. •Ms.Hannen Saban (Orthopedic clinic IMC nurse)
There are days where up to 50% of our patients do not show up for their appointments. We therefore double book many appointment slots. We have people who have failed to come for a lot of appointments and still just call for another. Either they do not realize they are contributing to the problem as well as taking up valuable appointment times or they just do not care. •Mr.Abdulaziz Abdulbaqi (Clinics manager IMC)
I can tell you that a big reason that patients end up waiting in doctors is ministry of health has to deal with the fact that there is a physician shortage in this country and it is only going to get worse moving forward. The aim of this project is to design and develop a diagnosis system that can be used in the clinics to achieve the following objectives:
•Meeting patient's satisfaction by:
Reducing waiting times
Reducing service times
Increasing the quality of the services.
•Increasing work efficiency, by saving
Effort. 1- Deciding which hospital and which department in that hospital.
2- Deciding which section of the human body the developed system will first serve.
3- communicate with hospital staff.
4- Start collecting diagnostic questions.
5- Simulate the current orthopedic department.
6- Start analyzing and developing the system.
7- Test and evaluate the orthopedic department after implementing the system.
8- compare the results before and after improvement. The current Orthopedic section in IMC Schematic diagram The model The enhanced Orthopedic section in IMC Medical Diagnosis System (MDS) The current situation before the improvement requires the patients to meet the specialist. ( specialist is someone who has less education degree than a doctor and is not authorized to give patients the treatment) . The specialist will do the initial diagnosis and ask the patients to do the required medical test then come back again to the specialist to make sure that the patients have the right test and then give him/her the permission to see his doctor. System outcomes System interfaces System Data Base
•Admin : The Director of the orthopedic department has privilege to adding, updating and deleting users data.
•Doctor: Has privilege to adding, updating and deleting questions, actions and rules.
•Patient : Has lowest privilege by answering the question and follow the response action. Tha outcome will be achieved after patient answers all the questions are:
•Do not worry, you should do specific x-ray or test then meet your doctor please.
•It's Emergency Medicine Case; please see your doctor immediately.
•Sorry, we could not recognize your Situation yet, please see your doctor when you can. Results of Simulation Average waiting time Comparison •Average waiting time in the specialists reduce from 19 minute to 30 seconds.
•The clinic increase its efficiency more than 40 %.
•Patient will satisfy his need and exceed his expectation.
•Reduce cost because initial and maintenance cost of the medical diagnosis will be much lower than specialists annual salary.
•Reduce the cycle time for patients.
•Avoid the fairness and stress for patients.
•We suggest next step find out what are the possible way to increase the efficiency of x-ray process. Environmental Impact Social Impact The medical diagnosis system has a lot of benefits for hospitals:
It can significantly help to reduce the risk of an important diagnosis being missed or delayed and improving the overall quality of patient care.
Medical diagnosis system can also be used as a teaching tool to remain up-to-date on new diagnosis, presenting on the requirement to patient. For doctors:
It will save lot of their time and effort.
When doctor taking the patient diagnosis, there are several problems can happen like sometimes the patient being nervous, he/she can't give a clear answer, give answers far from the expected and sometimes patient is not able to explain the truth. The modified situation will involve creating a system to do an initial (primary) diagnosis to the patients and ask them to do some medical test depends on their answers and after getting their test they can go directly to meet their doctor. So the specialist process is eliminated and replaced by the proposed automated system. After patient arrives to the orthopedic section, there are several steps patient should follow respectively as shown below:
Patient should go to the examination room to measure temperature degree and blood pressure.
Patient should visit the specialist to do the initial diagnosis and to figure out the required x-ray or test.
Patient should do the tests required.
Patient should revisit the specialist to make sure that the done tests are right.
Patient should meet the required doctor. Resource Distributions: Number of replication from the initial 10 replications, 95% half-width on Specialists Area Queue was ±6.85 (Mean = 15.20).
Its preferred that half width should go down to ±5 or less
To define the number of replication, the following
equation should be use:
n= number of replications
n0= number of trail replications
h= desired half width
h0= n0 half width
n= 10(6.852/52) = 18.76, so 20 replication Result Schematic diagram The model Resource Distributions: Result T-test By running the model twice before and after improvement, a drastic reduction in the waiting time in specialists area process was noted, little decrease in x-ray process and a reasonable improvement of the whole system waiting time. T-test was used to examine whether the difference in the mean waiting times before and after the improvement are different. Since the orthopedic section has four doctors room, test will applied four times. The degrees of freedom equals the total group size (40) minus 2 i.e. 38. Entering a t-table with 38 degrees of freedom. At alpha = .01, the tabled value is 2.72.
Since the calculated value is larger than the tabled value at alpha = .01, the null hypothesis that there is no difference in the waiting times is rejected providing strong evidence in favor of the alternative hypothesis, namely, that the difference in waiting time in queue is statistically significant. After implementing the system