Electronic medical record redesign to improve patient safety and use of non-medication orders by clinicians.

Background: Electronic medical records (EMRs) have become highly customizable. Although customization allows changes for workflow optimization, such changes can result in a less standardized system and create barriers due to individual preferences.

Aim: This was a documentation of the efforts of a greenfield academic medical centre in Qatar to improve patient safety, physician operational efficiency and revenue capture by standardizing the design of the non-medication orders and associated revenue of the EMR .

Large-scale annotation dataset for fetal head biometry in ultrasound images.

This dataset features a collection of 3832 high-resolution ultrasound images, each with dimensions of 959×661 pixels, focused on Fetal heads. The images highlight specific anatomical regions: the brain, cavum septum pellucidum (CSP), and lateral ventricles (LV). The dataset was assembled under the Creative Commons Attribution 4.

Ensemble Transfer Learning for Fetal Head Analysis: From Segmentation to Gestational Age and Weight Prediction.

Ultrasound is one of the most commonly used imaging methodologies in obstetrics to monitor the growth of a fetus during the gestation period. Specifically, ultrasound images are routinely utilized to gather fetal information, including body measurements, anatomy structure, fetal movements, and pregnancy complications. Recent developments in artificial intelligence and computer vision provide new methods for the automated analysis of medical images in many domains, including ultrasound images.

A comprehensive review of COVID-19 detection techniques: From laboratory systems to wearable devices.

Screening of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among symptomatic and asymptomatic patients offers unique opportunities for curtailing the transmission of novel coronavirus disease 2019, commonly known as COVID-19. Molecular diagnostic techniques, namely reverse transcription loop-mediated isothermal amplification (RT-LAMP), reverse transcription-polymerase chain reaction (RT-PCR), and immunoassays, have been frequently used to identify COVID-19 infection. Although these techniques are robust and accurate, mass testing of potentially infected individuals has shown difficulty due to the resources, manpower, and costs it entails.

Toward deep observation: A systematic survey on artificial intelligence techniques to monitor fetus via ultrasound images.

Several reviews have been conducted regarding artificial intelligence (AI) techniques to improve pregnancy outcomes. But they are not focusing on ultrasound images. This survey aims to explore how AI can assist with fetal growth monitoring via ultrasound image.

A Conceptual Framework for Fetus Head Analysis Based on Ultrasound Images.

Ultrasound images are the most used imaging methodologies in obstetrics to monitor the growth of a fetus during the gestation period. In particular, the obstetrician uses fetus head images to monitor the growth state and identify essential features such as Gestational age (GA), estimated fetus weight (EFW), and brain anatomical structures. However, this work requires an expert obstetrician, and it is time-consuming and costly.

PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data.

While the advanced diagnostic tools and healthcare management protocols have been struggling to contain the COVID-19 pandemic, the spread of the contagious viral pathogen before the symptom onset acted as the Achilles' heel. Although reverse transcription-polymerase chain reaction (RT-PCR) has been widely used for COVID-19 diagnosis, they are hardly administered before any visible symptom, which provokes rapid transmission. This study proposes PCovNet, a Long Short-term Memory Variational Autoencoder (LSTM-VAE)-based anomaly detection framework, to detect COVID-19 infection in the presymptomatic stage from the Resting Heart Rate (RHR) derived from the wearable devices, i.

Effect of gender on childhood maltreatment in the state of Qatar: Retrospective study.

Background: International maltreatment studies show a range of results for overall rates of child maltreatment and gender differences. The ISPCAN Child Abuse Screening Tools (ICAST) were designed to reduce variability in data collection.

Objective: To investigate the influence of gender on the experiences of discipline and maltreatment in childhood among young people in Qatar, informingpractice and policy development.

Comparing disciplinary methods used by mothers in Palestine and Qatar.

This paper explores child disciplinary methods used by parents in Qatar and Palestine. In this study ICAST-P, an internationally recognized tool, was used with mothers reporting on one of their children up to their 12th birthday. It questions about disciplinary methods: nonviolent; physical: moderate and severe; and psychological methods that had been used in the previous year on the index child in the family.

Pediatric Traumatic Brain Injury: a 5-year descriptive study from the National Trauma Center in Qatar.

Background: The epidemiologic characteristics and outcomes of pediatric traumatic brain injury (pTBI) have not been adequately documented from the rapidly developing countries in the Arab Middle East. We aimed to describe the hospital-based epidemiologic characteristics, injury mechanisms, clinical presentation, and outcomes of pTBI and analyze key characteristics and determinant of pTBI that could help to make recommendations for policies to improve their care.

Methods: We conducted a retrospective observational study in a level 1 trauma center (2010-2014) for all pTBI patients.

Satisfaction with a 2-day communication skills course culturally tailored for medical specialists in Qatar.

Objective: Health-care communication skills training may be particularly needed in the Arabian Gulf countries because of the variety of cultures within the physician and patient populations. This study describes the implementation and results of a communication skills training program for physicians in Qatar that assessed previous training, and effect of previous training on participants' course evaluations.

Materials And Methods: We conducted a 2-day communication skills training course covering seven culturally adapted modules.

Contextualizing the Physician Charter on Professionalism in Qatar: From Patient Autonomy to Family Autonomy.

Background: The Physician Charter on medical professionalism has been endorsed by professional organizations worldwide, yet it is unclear if this Western framework of professionalism is applicable in non-Western countries.

Objective: This study examines how physicians practicing in a Middle Eastern context perceive the terms, principles, and commitments outlined in the charter.

Methods: In May 2013, the authors conducted 6 focus groups with 43 clinician-educators practicing at Hamad Medical Corporation in Doha, Qatar, to discuss the applicability of the Physician Charter in a local context.

Child discipline in Qatar and Palestine: A comparative study of ICAST-R.

To compare the nature and determinants of child discipline in Qatar and Palestine among young adults through retrospective survey to develop legislation, policies and interventions for effective prevention of child maltreatment, and educational materials to promote positive discipline among parents and caregivers. Cross-sectional random household surveys were conducted in each country (Qataris N=697, Palestinians N=2064) using ISPCAN Child Abuse Screening Tool-Retrospective (ICAST-R) for young adults (18-24 years), to investigate child discipline methods into the maltreatment range. Qatari young adults were more educated (p<0.

Poisoning emergency visits among children: a 3-year retrospective study in Qatar.

Background: Poisoning in toddlers and infants is almost always unintentional due to their exploratory behavior, which is different from adults. The prevalence and background of childhood poisoning in Qatar is still unknown. The aim of this study is to explore the extent of childhood poisoning in Qatar and, specifically, to describe the frequency of poisoning as a cause of Accident & Emergency (A&E) admission, the demographic profile of affected patients, the circumstances leading to exposure, and the specific agents involved in poisoning among children under age 14 in our setting.

Analysis of pediatric trauma data from a hospital based trauma registry in Qatar.

Background: Trauma is the leading killer in the young age children, but data about the injury burden on pediatric population are lacking. The aim of this study is to describe the epidemiology and outcome of the traumatic injuries among children in Qatar.

Materials And Methods: This is a retrospective analysis of a trauma registry database, which reviewed all cases of serious traumatic injury (ISS ≥ 9) to children aged 0-18 years who were admitted to the national pediatric Level I trauma center at the Hamad General Hospital (HGH), over a period of one year.