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Meet health app
1. MEET HEALTH MOBILE APPLICATION SYSTEM
Developed
By
MONAC GROUP
NGABO ROBERT
16/U/0141/GCS
MACKMOT AMBROSE
16/U/0688/GCS/PS
NALWOGA PAULA
16/U/0610/GCS/PS
ONENCAN KENNEDY
16/U/0632/GCS/PS
OKELLO FELIX TONNY
16/U/0626/GCS/PS
B Sc. Computer Science (GULU)
A Report Submitted to the Department of computer science in Partial
Fulfillment
for the Award of the Bachelors of science Degree in computer science
of Gulu University
June, 2018
2. Declaration
We members of MONAC GROUP hereby declare that the work we are presenting is
our original work and has never been submitted in for any award in any tertiary
institution except where references have been made and we remain with authority
subjecting to changes to the entire project.
Group membership
S/N NAME REG. NUMBER
1 NGABO ROBERT 16/U/0141/GCS
2 MACKMOT AMBROSE 16/U/0688/GCS/Ps
3 NALWOGA PAULA 16/U/0610/GCS/Ps
4 ONENCAN KENNEDY 16/U/0632/GCS/Ps
5 OKELLO FELIX TONNY 16/U/0626/GCS/Ps
Approval
This project report has been read, examined and approved by
Supervisor : Mr.Okokwo Peter
Signature : ...................................................... Date : ..............................................
Department of Computer science
Faculty of Science
Gulu University
3. Acknowledgment
We are grateful to the entire Faculty of science and Gulu University students for the
advisory support they offered to us to undertake this research. In the same stream, We
wish to thank our lecturer Mr. Okokwo Peter for offering us his time to
encouragement.
We wish to acknowledge the efforts of Mr. Abandu Jackson our diligent co-supervisor
for his commitment and guidance in the research and write up of this report. We
would also like to thank Dr. Benedict Oyo who read and provided useful comments
against which
the final version of this report was written.
We wish to acknowledge the academic and social interactions from the 2016 GCS
bachelors intake in the department of computer science for the encouragement and
competition that has resulted into this pleasing outcome.
Special thanks go to our course mates for persistently calling us developers, a title
which is indeed our aspiration.
We extend our sincere sense of gratitude to our parents, guardians, sponsors and
friends for their support.
May the Almighty God bless you all
4. List of acronyms
I.e : That is to say
E.g : for example
& : And
GPS : Global Positioning System
SMS
ISSD
MMS
5. Abstract
Meet Health application system plays a significant role in information delivery by
enhancing efficiency, cost effectiveness and mobility of health services. In Uganda,
meet health app will predominantly adopt to facilitate information sharing between
distinct health centers despite the availability of mobile phones in the community.
This objective was achieved by extending technology acceptance model to predict
user satisfaction with the new system (Abandu & Florence, 2017). A survey design
was employed using questionnaire for data collection. The study implemented in
Northern Uganda targeted patients, health workers in Gulu municipality. The model
has the dimensions of knowledge, accessibility, support, content, trust, funding,
awareness, knowledge sharing, skills and ease of use. .
6. Chapter 1
1.0 Introduction
Human beings are vulnerable to any sort of sickness which can retard concentration in
everyday life, and so due to technological advancement and increasing population, the
demand for health care services is increasing and administrative duties in medical
facilities are also becoming more involved where technology is now used in almost all
medical practices. Therefore, E- care is a mobile application system developed to help
people know and access the health facilities in an area for example in Gulu District
(municipal council). The application not only shows health facilities but also aid
patients to communicate with the health care providers.
1.1 Background
Uganda’s health system was one of the best in the region by the 1960’s. It then got
worse in the 1970’s during the military turmoil and civil strife. According to
international health indicators, health care in Uganda is becoming more accessible and
robustly public donor-private interlinked sector. (Mukasa, 2012)
In the first half of 2017, health care has been all over the news. From affordability, to
access the quality of care, many people wonder what the future holds for the health
care industry. While the future of health care may be uncertain, there are sure
advances in Health care technology being made to shake up the industry. (Alexandra,
2017)
Meet health is a mobile application system developed to facilitate fast and easy
delivery of health services to people compared to the traditional method where one
goes physically to visit the doctor, nurses and clinics with out knowing which services
are being offered there which is sometimes quite costly in terms of transport.
1.2 Problem Statement
Health care facilities should be accessible by all people at all times. But some of the
people that should access these facilities are far away from these facilities, are not
educated about the health services offered at each health center & those who come in
the area i.e Laroo division in Gulu are not also informed about the health facilities
which are around the area in cases of medical attention e.g clinics.
1.3 Main Objective
To develop a mobile application system that will aid people to know about the exact
point of existence of health infrastructure and facilities and services being offered
within an area. i.e Laroo division in Gulu
1.4 Specific Objectives.
7. ● To obtain requirements needed for developing the application system.
● To analyze the current system in terms of cost incurred by patients.
● To design a system that will help people locate health facilities and the services
offered at these facilities .
● To test the application system for its functionality.
1.5 Scope
The research is focused on a mobile application system development that will aid
people to locate the health facilities and infrastructure. This can be done by the help of
tools like android studio, App Inventor and intellj. Our case study was basically
within Laroo division found in Gulu municipality where we interacted with different
hospital administrators, sick people in hospitals who appreciated the idea.
1.6 Justification
It provides basic information of services offered at each health facility.
It avails distance of health facilities from Gulu town.
It indicates to the use which drugs are found in a health facility.
8. Chapter 2
2.0 Literature Review
2.1 Google Maps
Google maps is a web mapping service developed by Google. It offers satellite
imagery, street maps, 360° panaromaic views of terrains, real time traffic conditions,
and route planning for travelling by foot, car or any other means of travelling. Google
was designed by by brothers Lars and Jens Eilstrup Rasmussen. In October 2004, the
company was acquired by Google, which converted in a web app later. After addition
acquisitions of a geosptial data visualization company and a real time environment
analyzer, it was launched in February 2005. Google maps offers an API that allows
maps to be embedded on third-party websites and mobile mapping services and it also
offers a locator for urban centers, businesses and other organizations in numerous
countries around the world.
2.2 Smart phones
These are cellular phones with advanced mobile operating systems, such as windows,
android, ios apple etc. These all combine features of a personal computer with other
features useful for mobile devices such as the abilities to place and receive voice calls
and notes, create and read text messages, with those of other popular digital mobile
devices like personal digital assistants (PDA), like GPS navigation, an event calendar,
media player, video games, digital camera. These devices can access the internet and
can run a variety of several software applications.(Matt, 2010).
2.3 Global Positioning System
This is a satellite based navigation system that was developed by US. Department of
Defense forces in the early 1970s. Initially, GPS was developed as a military system
to meet US military needs. However, it was later made available to civilians and at the
moment its a dual use system. This system gives continuous positioning and timing
information, any where in the world under any weather condition. It uses a
constellation of 24 to 32 Medium Earth Orbit satellites that transmit precise micro
waves signals, which enable GPS receivers to determine their current location, the
time, and their velocity in case of movement. A GPS receiver calculates its
positioning by precisely timing the signals sent by the GPS satellites. (Ahmed,
1998,p.2)
9. 2.4 Related Systems
2.4.1 Where are you
This system describes how to locate a mobile device using another mobile device
(Kumar, 2009). The system only requires an inbuilt GPS and Google Map, the system
locates only a friend or unknown person without his knowledge. The system cannot
show the location of the person being tracked on Google maps and cannot calculate
the distance between the two users.
2.4.2 My Tour Navigation Based system
(Li Lui, 2015) noted that that the design and implementation of android mobile
operating system based group communication and navigation system. By use of GPS
and Google Map, the system implements a geographic location and route planning
between user and the friend. The system provides a convenient and efficient platform
for users travel and connection between friends and includes utilities such as finding
nearby areas with points like banks, restaurants etc. The short coming of this system is
that it does not include the functionality of finding a nearest health facility and
infrastructure which is vital while on a tour and lastly it can’t indicate distances
between start point to the end point.
2.5 Ugandan Systems related to the context
2.5.1 Airtel find me out and Smile look for me
These all offer the same location based services through cell find a third party
Wireless Application Service provider, designed to give the user a peace of mind and
protect themselves and their beloved against dangerous situations. It uses the cellular
network to find the position of a cellular phone user you want to locate . One can
locate the up to ten consenting people via SMS, ISSD or through the internet. One
receives an SMS with written description of their recent location or alternatively, a
visual map can be sent to you if you have an MMS enabled cellphone on request.
2.5.2 Lost property identifier application (police app)
2.5.3 Med-safe application system
Everyone needs some encouragement to sustain a new behavior. Medisafe gets people
started by educating them about their medical status and condition, then keeps them
going by sharing progress, offering helpful tips, and curating tailored prescription
coupons and special offers. Physicians can simply invite their patients to connect
through Medisafe and adherence info as well as other health data is automatically
brought into their dashboard. Medisafe goes way beyond the pill. We work with
pharma, payers and others who share our passion for creating better patient outcomes
through increased adherence.
10. Chapter3
3.0 Methodology
3.1 Introduction
This chapter explain the techniques used for data collection, the tools used in data
analysis and the technologies used in the design and development of the system. The
system Development life cycle (SDLC) was adopted. The System Development life
cycle is a conceptual model used in project management that describes the stages
involved in the system development (Fabrycky, 2015). This divides development
process into the following stages i.e requirement gathering and analysis, Design,
Programming, Testing, implementation, operation and support (Hang, 2015). Each
phase must be completed fully before the next phase can begin. We adopted this
model because
● It s easy to adapt, understand and use.
● Its easy to manage due to the rigidity of the model whereby each phase has
specific deliverable and review process.
● In this model phases are processed and completed one at a time hence do not over
lap.
● This model works well for smaller projects where requirements are very well
understood
3.2 Data collection Technique
Data collection was vital in our research study as it helped us gather user requirement
and also know the which the existing systems have, this guided us through the
development process. The following data collection data techniques were used during
the research study,
3.2.1 Questionnaires
These are set of open or closed ended questions administered to respondents to gather
information on a research phenomenon.(Grooves, 2009). We used closed ended
questions to take control of data required from the respondents. This method was
adopted because;
I. Most stationed respondents are not stationed.
II. Administration is comparatively not inexpensive and easy when gathering
information from large numbers of a sample group of individuals spread over a
wide geographic location (Enid et al.. 2017)
11. III. Reduces chance of evaluator baisness because some questions are asked to all
respondents
IV. Large amount of data can be collected from large number of people in a short
period of time.
V. The result of a questionnaire can usually be quickly and easily quantified by
either a researcher or through the use of software package.
3.2.2 Literature Review
During the study, we also looked at various documents in which we selected useful
information regarding existing systems and the various technologies used in the this
field of research. This information helped us choose the appropriate technology for
our study and informed us on the need to solve problems faced by patients who are in
need of health center services.
3.2.3 Observation
This gave us an insight of what really individuals seeking medical help go through to
access assistance, most of the patients move long distances to seek medical help,
others incurring more transport costs for example students residing in low cost hostel
incur a transport fair of shillings 2000 to reach the medical unit in the university but if
one is to use the meet health app that individual would use the transport fee to get
medical help from a nearby Laroo health center 11.
3.3 Sample size
We designed a questionnaire inquiring on the problem and the solution we have come
up with from different health center administrators, people around and patients in
these different health points. They were 20 in number and they were all returned.
3.4 Data analysis
This is a process were systematic application of statistical and logical techniques to
describe, illustrate, condense and evaluate data. We used quantitative data analysis
which is the most suitable approach inform of questionnaire which helped us during
numerical data collection of which we have used to develop graphs and pie-charts. It
often describes a situation or event answering.
3.4.1 Analysis of data from different correspondents
From the analysis, males responded more than females though our aim was to balance
as shown in the table below.
12. Gender Number of respondents percentage
Male 13 65
Female 07 35
Total 20 100
Fig 1: Table showing gender correspondents
Fig 2: Correspondents analysis
3.4.2 Age bracket of the respondents
The analyzed data comprised of correspondents of different age groups with 18 and
below, 19 to 35 and 36 and above. This shows that all age groups above use mobile
with the majority of the users in between 19 to 35.
Fig 3: age structure graph
3.4.3 Number of people using smart phones
Among the correspondents who provided us with their information, 19 to 35 category
of individuals who use smart phones has the highest phone effectors. This indicates
that our system will offer efficient and effective services mostly to this category.
13. 3.4.4 Correspondents visiting health centers
Most of the correspondents research shows that they visit clinics for medical health
consultations in comparison to other health points.
3.4.5 Cost incurred when visiting a health point.
Most of the correspondents find it costly to access medical services as its indicated
below
Fig 4: showing expenditure to access medical services
3.4.6 Office contacts
All the health center points are contacted through private and office phone numbers of
administrators implying that if no one knows their contacts, they cannot be accessed
at any moment.
3.4.7 General view about the system
All respondents were asked if they thought that the system was irrelevant and all of
them said that its a good innovation and they encouraged us to continue.
3.5 Tools used during development of the system
Android studio, JDK, SDK for front end development, Kotlin
14. Chapter 4
4.0 System Design and Implementation
4.1 System design
This provides detailed information about how our system structure is built. This will
be implemented through a conceptual diagram, a use case diagram and an ER
diagram.
4.1.1 Conceptual diagram
The diagram below shows the conceptual model of our system. It shows the concepts
which were used to help us know and understand the system. The objective is to
convey the fundamental principles and basic functionality of our meet health mobile
app system.
15. Fig 5: diagram showing conceptual frame work
4.1.2 Use case diagram
We have used a use case diagram which describes a relationships among the
functionalities and their internal/external controllers. These controllers are known as
actors. For our system the actors are the patients and hospital administrators.
Fig 6: Use case of our system
4.1.3 Entity Relationship diagram
This is a graphical presentation of an information system that shows the relationship
people, object, places, concepts or events within that system. Its a data modelling
technique that can help define service access and can be used as the foundation for a
relational database.
16. Fig 7: showing the Entity-Relationship diagram
4.2 System Implementation
A smart phone, server, internet, contact are the main pillars of meet health mobile
application system. In this system the internet service is a key factor for the user to
efficiently and effectively use it. We used android platform, java and kotlin languages
for the implementation to the users side. The system comprises of only a data
dictionary where information about the different health centers is stored, for location
one presses a command location which loops it into the Google map and current
location is got by the device using longitude and latitude coordinates of which updates
are sent to the server. A given set of coordinates of points of different health centers
has already been embedded into the system.
17. Chapter 5
5.0 Presentation on deployment of results
5.1 Introduction
5.2 Presentation
This section present the interface of Meet Health system and the explaining the
functionality of Meet Health system of what each interface does including all the
screen shot.
Fig shows opening interface of our meet health application
5.2.1 Screen shot of home screen
This interface helps the user to find the health facilities, names,location,distance and
the services offered.
Fig 8 showing the screen shot of home screen.
18. 5.2.1.2 Menu interface
This is the screen shot shows the menu of the system which the user to see the list of
health facilities.
Fig 9: showing the main interface page
5.2.1.3 Health facilities details
This interface appears after the user have selected a specific health facility. It shows
you the Name of the health facility,contact,the distance to the health facility and it
draws the route to that health on the map.
Fig 10 Showing the screen shot of the health facility details.
5.2.1.4 User feedback
This interface appears when the user decides to give the feedback on how the system
is functioning.
20. Chapter 6
6.0 Conclusion and Recommendation
6.1 Introduction
This chapter the general conclusion and recommendation as far as the project is
concerned.
6.2 Conclusion
Meet Health app system will help the users to locate the health facilities and check
through the services offered by that health facility. The system retrieves the location
of the health facility and shows the nearby health facility. It the calculates the distance
from the user to that health facility. The system also draws the route to the health
facility.
6.2.1 Challenges
We faced some challenges during data collection and they includes;
Some respondents were not willing to fill in our questionnaires giving reasons of not
having time.
Some respondents asked for money and drinks in order for them to fill our
questionnaires and this made us to fail to get data from them since we are financially
unable.
Confidentiality of information as some respondents were not willing to give us the
information.
6.3 Recommendation
We recommend the future to add more functionalities for locating other places such as
hostels,parking yard,garage, hotels among others.
Future developers should include consider their system detecting health facilities
automatically from the Google map.
In future, there should be a functionality of Meet Heath contacting the health facilities
from the various part of the word.
The future developers should also consider giving troubleshooting procedures.
21. References
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2. Ahmed, E.(1998) Introduction to GPS. Boston Artech House.
3. Kumar, S, and Qadeer, M.A. (2009, Dec 9). Location based services using android
(LB-SOLID). Paper presented at international Conference on Internet Multimedia
services Architecture and Applications, Bangalore, India.
4. Li Liu, D. (2012, April 21). Design and implementation of android phone based
group communication and navigation system. Paper presented at 2nd International
Conference on Consumer Electronics and Communications, Bangalore, India.
5. Ranjithkumar, G. (2015). Locus Discovery and Tracing System. International
Journal of Engineering Research and General Science, 3(3), 87-94.
6. Haag, P. (2015), The system development life cycle. Torornto, McGram Hill
Ryerso.
7. Groves, R.M.; Flowler, F. J.; Couper, M.P.; Lekoski, J.M; Singer, E.; Touangeau, R.
(2009). Servery Methodology. New Jersey: John Wiley $ Sons.
8. Jackson Abandu and Florence N. Kivunike, (2017). Immunization-notification
adoption model: strategies for implementing mobile electronic notification of mothers
in Uganda, Department of Computer Science, Faculty of Science, Gulu University,
Uganda, Department of Information Technology, Faculty of Computing and
Information Sciences, Makerere University,Uganda