Pitfalls of Artificial Intelligence in Medicine.

Artificial Intelligence (AI) offers great promise for healthcare, but integrating it comes with challenges. Over-reliance on AI systems can lead to automation bias, necessitating human oversight. Ethical considerations, transparency, and collaboration between healthcare providers and AI developers are crucial.

Information Technology and Value-Based Healthcare Systems: A Strategy and Framework.

Value-based healthcare offers a pathway for enhancing patient satisfaction and population health and reducing healthcare costs. In addition, it provides a means to enhance physicians' perception and experience in healthcare delivery. The foundation of the said system is the notion that community wellness can only be benefited when the health effects of many people are also addressed.

Strengths and Obstacles of Health Informatics and Health Information Management Education and Professions in Hail City, Kingdom of Saudi Arabia: A Qualitative Study.

Health and higher education ministries in Saudi Arabia recognize the need for a highly qualified workforce specializing in health informatics and information management (HIIM). Therefore, KSA colleges and universities offer HIIM programs, health information systems, and health information technology. It is critical to investigate the HIIM professions and education in Hail City due to differences in these educational programs.

An Evaluation of Drug-Drug Interaction Alerts Produced by Clinical Decision Support Systems in a Tertiary Hospital.

Introduction Drug-drug interactions (DDIs) have the potential to harm patients. Hence, DDI alerts are meant to prevent harm; as a result, their usefulness is reduced when most alerts displayed to providers are ignored. This study aims to explore the rates and reasons for overriding alerts of DDI.

Personal Health Record (PHR) Experience and Recommendations for a Transformation in Saudi Arabia.

A Personal Health Record (PHR) is a patient-managed platform for health data. Most hospitals provide a PHR as an extension of the Electronic Medical Record (EMR). However, there are unresolved issues around the adoption rate, functionalities, barriers and, more importantly, the impact of the PHR on patients' health.

Machine Learning for Early Prediction of Sepsis in Intensive Care Unit (ICU) Patients.

Early detection of sepsis is crucial and can save lives. However, identifying sepsis early and accurately remains a difficult task in the medical field. This study aims to investigate a new machine-learning approach.

The Progress of Speech Recognition in Health Care: Surgery as an Example.

Artificial Intelligence (AI) is a computer system that simulates intelligent human behavior. The use of AI is rapidly shifting Healthcare. Speech recognition (SR) is a type of AI physicians use to operate Electronic Health records (EHR).

A Model for Clinical Coder Satisfaction in Saudi Arabia Based on a Holistic Approach: Clinical, Professional and Organizational Dimensions.

The quality of clinical coding influences not only hospital revenue but also the quality and efficiency of healthcare services. Assessing the coders' satisfaction is essential to optimizing the quality of clinical coding. This mixed-method study used a qualitative approach to propose the study model while testing the model through a quantitative approach.

Physicians' Perspectives on a Multi-Dimensional Model for the Roles of Electronic Health Records in Approaching a Proper Differential Diagnosis.

Many healthcare organizations have adopted Electronic Health Records (EHRs) to improve the quality of care and help physicians make proper clinical decisions. The vital roles of EHRs can support the accuracy of diagnosis, suggest, and rationalize the provided care to patients. This study aims to understand the roles of EHRs in approaching proper differential diagnosis and optimizing patient safety.

A Framework and System Design for Medicines Resources Allocation: A Multi-Stakeholder Assessment of Processes and Electronic Platform Needs.

Utilizing resources effectively is becoming more critical, especially with the ever-increasing healthcare cost. Little is known about the current practices used by healthcare organizations for the procurement, allocation, and utilization of medical resources. Moreover, the available literature needed to be enriched to bridge the link between resource utilization and allocation processes' performance and outcomes.

Informational Needs for Dental-Oriented Electronic Health Records from Dentists' Perspectives.

Introduction: Information technology is vital to support dental care services and is yet to be thoroughly investigated. This study aims to assess the dentists' needs and requirements for health records from dental care providers' perspectives.

Methods: In-depth interviews were conducted with dentists during clinic practices.

Establishing a Graduate Certificate in Health Informatics: Need Assessment and Competency-Based Framework.

Background: Health Informatics is an indispensable science in light of the massive reform healthcare has undertaken recently.

Objective: Health Informatics is an indispensable science in light of the massive reform healthcare has undertaken recently.

Methods: This descriptive multiphase study used a questionnaire to assess the need and applied a competency-based postgraduate curriculum to collect the required competencies as well as their proficiency levels.

The Impact of Virtual Reality in Enhancing the Quality of Life of Pediatric Oncology Patients.

Pediatric oncology interventions involve many challenges, such as multiple hospitalizations, invasive procedures, and adverse physical and psychological treatment side effects. Treatment burden, including administration of general anesthesia, contributes to high levels of psychological distress among pediatric patients and their families. Virtual reality (VR) is a distraction method, which offers an extremely realistic and interactive virtual environment and helps reduce pain and distress by means of a head-mounted display and headphones.

Pitfalls of Social Media in the Era of COVID-19 Pandemics.

In December 2019, Wuhan, China, reported an outbreak of nSARS-CoV2 that caused viral pneumonia, COVID-19. Li Wenliang, a Chinese ophthalmologist, first communicated on Chinese social media about the existence and spread of the unknown viral pneumonia in Wuhan, China. By the end of March 2020, the virus had spread worldwide.

Utilizing Big Data in Healthcare, How to Maximize Its Value.

Big data has been applied in a variety of ways in healthcare. It can be considered as a tool for data collection. And hence, there are certain criteria needed in this tool to be of value.

Improving Antimicrobial Prescriptions with Computerized Decision Support Systems: Where Are We?

Antimicrobial computerized decision support systems (CDSS) have been developed to improve decision-making at the point of prescribing. Uptake of CDSS for antibiotic prescribing remains low, and evidence to suggest that CDSS provides a clear benefit for antimicrobial outcomes is scarce. We reviewed existing evidence on the impact of CDSS on antimicrobial prescribing.

The Effect of Electronic Medication Administration Records on the Culture of Patient Safety: A Literature Review.

Medication errorsare a leading cause of deathacross many parts of the world. Several factors increase medication errors. These can be individual-related factors, such as the burden ofa heavy workload, often experiencedby nurses, or organizational-related factors, such as inadequate space for documenting and poor labeling of medication.

Documentation integrity: Authorship functionalities of EHR in a Saudi Arabian hospital.

This paper aims to evaluate the authorship, privacy capabilities and functions of QuadraMed and BestCare systems, implemented at the Ministry of National Guard Health Affairs (MNGHA) in Riyadh, Saudi Arabia. A survey was conducted by interviewing back-end users of the EMR system in the KAMC hospital to check the aforementioned systems' authorship capabilities. Both the systems scored the same, with the overall result being 146/165 including the compliance level, which represents 88% availability of all authorship functions.

Causes of EHR projects stalling or failing: A study of EHR projects in Saudi Arabia.

Background: Electronic Medical Records (EMRs) are designed to automatically collect, store, and retrieve patients' information from healthcare providers within an organization. They assist clinicians in deciding the future course of treatment. The primary objective of this study is to investigate the practices of Electronic Health Record (EHR) project managers regarding the causes of EHR projects getting stalled or failing in Saudi Arabia.

Health ATMs in Saudi Arabia: A Perspective.

Background: Health ATMs are terminals which are connected to a centrally located database storing patients' electronic healthcare records (EHR). These machines are capable of collecting information in a far superior fashion than humans and are also able to rectify obsolete data in a manner that humans are generally not inclined to.

Objectives: The main goal of this study is to assess the importance of adopting health ATMs in the Kingdom of Saudi Arabia (KSA), which can improve the confidence of patients, reward health self-management, and achieve positive health outcomes through their easy-to-use applications that are secure and accessible through various devices.

Supportive care pathway functionalities of EHR system in a Saudi Arabian hospital.

Background: Electronic health record (EHR) is a data management system used in healthcare services. The stored medical information in EHR can be accessed and utilized by authorized users, which helps clinicians in making clinical decisions. Therefore, this study aims at comparing the embedded clinical guidelines or the supportive pathway functions as well as their compliance level in the two EMR systems, i.

The Hazards of Data Mining in Healthcare.

From the mid-1990s, data mining methods have been used to explore and find patterns and relationships in healthcare data. During the 1990s and early 2000's, data mining was a topic of great interest to healthcare researchers, as data mining showed some promise in the use of its predictive techniques to help model the healthcare system and improve the delivery of healthcare services. However, it was soon discovered that mining healthcare data had many challenges relating to the veracity of healthcare data and limitations around predictive modelling leading to failures of data mining projects.

Big Data, Big Problems: A Healthcare Perspective.

Much has been written on the benefits of big data for healthcare such as improving patient outcomes, public health surveillance, and healthcare policy decisions. Over the past five years, Big Data, and the data sciences field in general, has been hyped as the "Holy Grail" for the healthcare industry promising a more efficient healthcare system with the promise of improved healthcare outcomes. However, more recently, healthcare researchers are exposing the potential and harmful effects Big Data can have on patient care associating it with increased medical costs, patient mortality, and misguided decision making by clinicians and healthcare policy makers.

Pitfalls of Ontology in Medicine.

Much research has been done in the last few decades in clinical research, medicine, life sciences, etc. leading to an exponential increase in the generation of data. Managing this vast information not only requires integration of the data, but also a means to analyze, relate, and retrieve it.

Rates, levels, and determinants of electronic health record system adoption: a study of hospitals in Riyadh, Saudi Arabia.

Objective: Outside a small number of OECD countries, little information exists regarding the rates, levels, and determinants of hospital electronic health record (EHR) system adoption. This study examines EHR system adoption in Riyadh, Saudi Arabia.

Materials And Methods: Respondents from 22 hospitals were surveyed regarding the implementation, maintenance, and improvement phases of EHR system adoption.