scholarly journals A Secured Medical Booking System Using Qr-Code Authentication

Author(s):  
Aderibigbe Ayodeji Azeez ◽  
Aminat Ajibola

In recent times due to the ever-increasing fast pace of life the number of missed appointments in medical institutions in Nigeria has caused problems, hence the need for a web based healthcare platform to intervene and provide seamless care for patients. Medical appointment scheduling, as the starting point of most non-urgent health care services, is undergoing major developments to support active involvement of patients. Medical appointment scheduling system lies at the intersection of providing efficiency and timely access to health services. By using the Internet as a medium, patients are given more freedom in decision making about their preferences for the appointments and have improved access. In this work a Web-based appointment scheduling system is designed to meet the needs under the current health care environment. The security of patients has been taken under consideration, QR code is been used as the e-authentication technique to protect patients’ and hospital information from unauthorized individuals. The system was developed using PHP, QR code authentication technique, VScode environment, apache and MySQL. This is to ensure that the application is robust, cheap, secured and is able to run on different platforms. The system provides the platform to facilitate the booking and management of patients’ appointment bookings. Patients can also view their appointment reports and progress. The system also provides healthcare workers an easy secured access to manage patients’ appointments, medical records and to generate relevant reports.

2020 ◽  
Vol 8 (6) ◽  
pp. 28-38
Author(s):  
Bassey Ele ◽  
Odey, J. A. ◽  
Frank, N. E. ◽  
Ekinya, I. M.

Lengthy waiting times for registering and booking an appointment to see a doctor is challenging in Nigeria, particularly in government hospitals. Also, missed healthcare appointments are the main cause of preventable incompetence that affects a patient’s wellbeing and medication results, as there is no machinery to notice patients when appointments are deferred or canceled. To address these issues, a web-based medical appointment scheduling system with SMS alert notification using the University of Calabar Teaching Hospital (UCTH) as a case study is proposed.  This study adopted the Structured System Analysis and Design Methodology in the development of the system. MySQL was used to design the database for this study and the proposed system was implemented using PHP programming language. A web-based medical appointment scheduling with an SMS alert notification system was developed and implemented in this study. The developed system will improve appointment scheduling in hospitals to simplify patients' and doctors’ tasks and eliminate missed appointments with the help of the reminder component. In the upcoming, the system can be developed to direct appointment applications to another hospital where doctors with similar medical proficiency are working. Furthermore, the provision of automated SMS alerts as notifications as the appointed day draws near or reaches is a fundamental characteristic of the developed system.


2018 ◽  
Author(s):  
Sarah Thomas ◽  
Andy Pulman ◽  
Peter Thomas ◽  
Sarah Collard ◽  
Nan Jiang ◽  
...  

BACKGROUND Fatigue is one of the most common and debilitating symptoms of multiple sclerosis (MS) and is the main reason why people with MS stop working early. The MS Society in the United Kingdom funded a randomized controlled trial of FACETS—a face-to-face group-based fatigue management program for people with multiple sclerosis (pwMS)—developed by members of the research team. Given the favorable trial results and to help with implementation, the MS Society supported the design and printing of the FACETS manual and materials and the national delivery of FACETS training courses (designed by the research team) for health care professionals (HCPs). By 2015 more than 1500 pwMS had received the FACETS program, but it is not available in all areas and a face-to-face format may not be suitable for, or appeal to, everyone. For these reasons, the MS Society funded a consultation to explore an alternative Web-based model of service delivery. OBJECTIVE The aim of this study was to gather views about a Web-based model of service delivery from HCPs who had delivered FACETS and from pwMS who had attended FACETS. METHODS Telephone consultations were undertaken with FACETS-trained HCPs who had experience of delivering FACETS (n=8). Three face-to-face consultation groups were held with pwMS who had attended the FACETS program: London (n=4), Liverpool (n=4), and Bristol (n=7). The interviews and consultation groups were digitally recorded and transcribed. A thematic analysis was undertaken to identify key themes. Toward the end of the study, a roundtable meeting was held to discuss outcomes from the consultation with representatives from the MS Society, HCPs, and pwMS. RESULTS Key challenges and opportunities of designing and delivering an integrated Web-based version of FACETS and maintaining user engagement were identified across 7 themes (delivery, online delivery, design, group, engagement, interactivity, and HCP relationships). Particularly of interest were themes related to replicating the group dynamics and the lack of high-quality solutions that would support the FACETS’ weekly homework tasks and symptom monitoring and management. CONCLUSIONS A minimum viable Web-based version of FACETS was suggested as the best starting point for a phased implementation, enabling a solution that could then be added to over time. It was also proposed that a separate study should look to create a free stand-alone digital toolkit focusing on the homework elements of FACETS. This study has commenced with a first version of the toolkit in development involving pwMS throughout the design and build stages to ensure a user-centered solution.


Author(s):  
Lucy Frost ◽  
Louis S. Jenkins ◽  
Benjamin Emmink

Background: Access to health services is one of the Batho Pele (‘people first’) values and principles of the South African government since 1997. This necessitated some changes around public service systems, procedures, attitudes and behaviour. The challenges of providing health care to rural geographically spread populations include variations in socio-economic status, transport opportunities, access to appointment information and patient perceptions of costs and benefits of seeking health care. George hospital, situated in a rural area, serves 5000 outpatient visits monthly, with non-attendance rates of up to 40%. Objectives: The aim of this research was to gain a greater understanding of the reasons behind non-attendance of outpatient department clinics to allow locally driven, targeted interventions. Methods: This was a descriptive study. We attempted to phone all patients who missed appointments over a 1-month period (n = 574). Only 20% were contactable with one person declining consent. Twenty-nine percent had no telephone number on hospital systems, 7% had incorrect numbers, 2% had died and 42% did not respond to three attempts. Results: The main reasons for non-attendance included unaware of appointment date (16%), out of area (11%), confusion over date (11%), sick or admitted to hospital (10%), family member sick or died (7%), appointment should have been cancelled by clerical staff (6%) and transport (6%). Only 9% chose to miss their appointment. The other 24% had various reasons. Conclusions: Improved patient awareness of appointments, adjustments in referral systems and enabling appointment cancellation if indicated would directly improve over two-thirds of reasons for non-attendance. Understanding the underlying causes will help appointment planning, reduce wasted costs and have a significant impact on patient care.


2020 ◽  
Vol 5 (5) ◽  
pp. 1175-1187
Author(s):  
Rachel Glade ◽  
Erin Taylor ◽  
Deborah S. Culbertson ◽  
Christin Ray

Purpose This clinical focus article provides an overview of clinical models currently being used for the provision of comprehensive aural rehabilitation (AR) for adults with cochlear implants (CIs) in the Unites States. Method Clinical AR models utilized by hearing health care providers from nine clinics across the United States were discussed with regard to interprofessional AR practice patterns in the adult CI population. The clinical models were presented in the context of existing knowledge and gaps in the literature. Future directions were proposed for optimizing the provision of AR for the adult CI patient population. Findings/Conclusions There is a general agreement that AR is an integral part of hearing health care for adults with CIs. While the provision of AR is feasible in different clinical practice settings, service delivery models are variable across hearing health care professionals and settings. AR may include interprofessional collaboration among surgeons, audiologists, and speech-language pathologists with varying roles based on the characteristics of a particular setting. Despite various existing barriers, the clinical practice patterns identified here provide a starting point toward a more standard approach to comprehensive AR for adults with CIs.


Author(s):  
Shruti Makarand Kanade

 Cloud computing is the buzz word in today’s Information Technology. It can be used in various fields like banking, health care and education. Some of its major advantages that is pay-per-use and scaling, can be profitably implemented in development of Enterprise Resource Planning or ERP. There are various challenges in implementing an ERP on the cloud. In this paper, we discuss some of them like ERP software architecture by considering a case study of a manufacturing company.


Author(s):  
Michele Samorani ◽  
Shannon Harris ◽  
Linda Goler Blount ◽  
Haibing Lu ◽  
Michael A. Santoro

2020 ◽  
Author(s):  
Julia Hegy ◽  
Noemi Anja Brog ◽  
Thomas Berger ◽  
Hansjoerg Znoj

BACKGROUND Accidents and the resulting injuries are one of the world’s biggest health care issues often causing long-term effects on psychological and physical health. With regard to psychological consequences, accidents can cause a wide range of burdens including adjustment problems. Although adjustment problems are among the most frequent mental health problems, there are few specific interventions available. The newly developed program SelFIT aims to remedy this situation by offering a low-threshold web-based self-help intervention for psychological distress after an accident. OBJECTIVE The overall aim is to evaluate the efficacy and cost-effectiveness of the SelFIT program plus care as usual (CAU) compared to only care as usual. Furthermore, the program’s user friendliness, acceptance and adherence are assessed. We expect that the use of SelFIT is associated with a greater reduction in psychological distress, greater improvement in mental and physical well-being, and greater cost-effectiveness compared to CAU. METHODS Adults (n=240) showing adjustment problems due to an accident they experienced between 2 weeks and 2 years before entering the study will be randomized. Participants in the intervention group receive direct access to SelFIT. The control group receives access to the program after 12 weeks. There are 6 measurement points for both groups (baseline as well as after 4, 8, 12, 24 and 36 weeks). The main outcome is a reduction in anxiety, depression and stress symptoms that indicate adjustment problems. Secondary outcomes include well-being, optimism, embitterment, self-esteem, self-efficacy, emotion regulation, pain, costs of health care consumption and productivity loss as well as the program’s adherence, acceptance and user-friendliness. RESULTS Recruitment started in December 2019 and is ongoing. CONCLUSIONS To the best of our knowledge, this is the first study examining a web-based self-help program designed to treat adjustment problems resulting from an accident. If effective, the program could complement the still limited offer of secondary and tertiary psychological prevention after an accident. CLINICALTRIAL ClinicalTrials.gov NCT03785912; https://clinicaltrials.gov/ct2/show/NCT03785912?cond=NCT03785912&draw=2&rank=1


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