Self-quantification is seen as an emerging paradigm for health care self-management. systems (SQS) can be used tracking, monitoring, and quantifying aspects including mental, emotional, physical, social in order to gain self-knowledge. However, there has been a lack of systematic approach conceptualising mapping the essential activities that are undertaken by individuals who using SQS improve outcomes. In this paper, we propose new model personal information self-quantification (PHI-SQS)....

Objective To determine the prevalence of piriformis syndrome (PS) among undergraduate university health sciences students aged 18 to 25 and assess significant predictors PS regardless its type severe in particular. Design A cross-sectional study. Setting The study was conducted at a tertiary care hospital public Pakistan from December 2023 May 2024. Participants total 190 subjects enrolled who met eligibility criteria, which included being an student (medical allied specialities), up years,...

Objectives: This paper aimed to assess the adoption of electronic medical records (EMRs) in healthcare facilities Dubai, largest city United Arab Emirates (UAE) and a location where extensive services are provided. It explored challenges, milestones, accomplishments associated with this process.Methods: A situation analysis was conducted by contacting 2,089 Dubai determine whether they had implemented EMR their practices identify challenges faced during process. Additionally, Electronic...

Abstract Deep learning and the Internet of Things (IoT) are revolutionizing healthcare industry. This study explores potential commercial transformation resulting from IoT-enabled systems that use deep for patient monitoring diagnosis. Wearables, smart sensors, internet-connected medical devices allow doctors to monitor patients' vital signs, activities, physiological traits in real time. However, these generate vast complex data, making analysis diagnosis challenging. models well-suited...

Background The widespread use of smart devices, particularly among university students, has raised concerns about their impact on sleep quality. Bedtime usage devices is associated with disruptions and poor Objective This study aimed to explore the behavioral perceptual factors influencing students’ intention stop using at bedtime in Saudi Arabia. Methods A cross-sectional survey was conducted June 2024 distributed via social media platforms students (aged ≥18 years). questionnaire collected...

Postpartum depression (PPD) is a significant global health concern, impacting the well-being of mothers and their infants during postpartum period. Digital solutions, particularly mobile applications, have emerged as promising tools for PPD management. This study systematically evaluates landscape apps, identifying 115 relevant applications available on iOS Android platforms. Through comprehensive analysis, we assess availability, popularity, key features, technological advancements. Many...

This study investigates the impact of smartphone usage habits on sleep quality among undergraduate students at Jazan University, Saudi Arabia. A cross-sectional was conducted between April and May 2023 An online questionnaire included three sections: demographic characteristics, habits, Pittsburgh Sleep Quality Index (PSQI) for assessing quality. Descriptive analysis inferential tests were utilized. Among 1,153 participants, average PSQI score 8.19, indicating poor Nearly three-quarters...

Consumers' willingness to use health chatbots can eventually determine if the adoption of will succeed in delivering healthcare services for combating COVID-19. However, little research date has empirically explored influential factors consumer toward using these novel technologies, and effect individual differences predicting this willingness.This study aims explore (a) consumers' related COVID-19, (b) willingness, (c) likelihood near future as well challenges/barriers that could hinder...

Determining the key sets of competencies necessary for a Health Informatics (HI) professional to practice effectively either solo or as member multidisciplinary team has been challenging regulator and registration body responsible healthcare workforce in Saudi Arabia, which is Commission Specialties (SCFHS).The aim this study was develop HI competency framework guide SCFHS introduce certification program that meets local needs aligned with national digital health transformation strategy.A...

COVID-19 vaccine acceptance and refusal vary across countries among different socio-demographic groups. This study investigates hesitancy related to the associated factors in rural-community-dominated Jazan Province, Saudi Arabia. A cross-sectional through an online questionnaire was conducted from February April 2021 investigate extent of region. Chi-squared test post hoc analysis were analyze statistical significance association between variables. Of 569 participants who completed...

Current self-quantification systems (SQS) are limited in their ability to support the acquisition of health-related information essential for individuals make informed decisions based on health status. They do not offer services such as data handling and aggregation a single place, using multiple types tools this purpose complicates self-management self-quantifiers. An online survey was used elicit from self-quantifiers about methods they undertake key activities related self-management....

In 2018, the Saudi Commission for Health Specialties (SCFHS) created a national working group composed of key health informatics (HI) professionals, researchers and educators tasked with development draft competency framework HI professionals. Over an eight-month period, research collected data obtained from literature sources (both academic grey), international standards, participant surveys, focus groups, expert panel reviews. Through multiple rounds discussions graphic visualisation...

The use of wearable tools for health self-quantification (SQ) introduces new ways thinking about one's body and how to achieve desired outcomes. Measurements from individuals, such as heart rate, respiratory volume, skin temperature, sleep, mood, blood pressure, food consumed, quality surrounding air can be acquired, quantified, aggregated in a holistic way that has never been possible before. However, SQ still lacks formal common language or taxonomy describing these kinds measurements....

Introduction: Health chatbots are increasingly being utilized in healthcare to combat COVID-19. However, few studies have explored the perception and willingness of end-users toward COVID-19-related chatbots. Furthermore, no been conducted Saudi Arabia. Aim: This paper 166 end-users' perceived utilities health Arabia, how their characteristics affect perceptions. Methods: We a quantitative descriptive study by implementing an online survey. The survey asked 20 questions on participants'...

Health chatbots are increasingly being utilized in healthcare to combat COVID-19. However, few studies have explored the perception and willingness of end-users toward COVID-19-related chatbots. Furthermore, no been conducted Saudi Arabia.

Self-monitoring experiments are becoming increasingly common as it is the case in other complex environments their interpretation and reproducibility relies heavily amount of associated meta-data available. In this work we propose a standardised reporting guideline to annotate these facilitate interpretation. The existence such may lead development future standards that would platform interoperability, data sharing improvement well reproducibility.

Healthcare workers increasingly use Electronic Health Information Resources (EHIRs) to make evidence-based decisions. Our study was intended assess the perception, attitude, and practice of healthcare professionals in medicine, pharmacy, nursing regarding their perceived value EHIRs. We conducted an observational cross-sectional using a pre-validated questionnaire among Jazan province from September 2022 February 2023. included interns with medical, or degrees excluded those who refused...