Improving Quality of ICD-10 (International Statistical Classification of Diseases, Tenth Revision) Coding Using AI: Protocol for a Crossover Randomized Controlled Trial.

Background: Computer-assisted clinical coding (CAC) tools are designed to help clinical coders assign standardized codes, such as the ICD-10 (International Statistical Classification of Diseases, Tenth Revision), to clinical texts, such as discharge summaries. Maintaining the integrity of these standardized codes is important both for the functioning of health systems and for ensuring data used for secondary purposes are of high quality. Clinical coding is an error-prone cumbersome task, and the complexity of modern classification systems such as the ICD-11 (International Classification of Diseases, Eleventh Revision) presents significant barriers to implementation.

Using a Large Open Clinical Corpus for Improved ICD-10 Diagnosis Coding.

With the recent advances in natural language processing and deep learning, the development of tools that can assist medical coders in ICD-10 diagnosis coding and increase their efficiency in coding discharge summaries is significantly more viable than before. To that end, one important component in the development of these models is the datasets used to train them. In this study, such datasets are presented, and it is shown that one of them can be used to develop a BERT-based language model that can consistently perform well in assigning ICD-10 codes to discharge summaries written in Swedish.

Use of e-Health by Healthcare Professionals vs. non-Healthcare Professionals.

The role of e-health is increasing worldwide. We surveyed the use of e-health in a large-scale population-based study, involving a representative sample of the Norwegian population aged above 40 years. Two-thirds of the health professionals had used search engines, apps, social media or video services for health purposes - while this was the case for approximately half of the non-health professionals.

Privacy-preserving architecture for providing feedback to clinicians on their clinical performance.

Background: Learning from routine healthcare data is important for the improvement of the quality of care. Providing feedback on clinicians' performance in comparison to their peers has been shown to be more efficient for quality improvements. However, the current methods for providing feedback do not fully address the privacy concerns of stakeholders.

De-Identifying Swedish EHR Text Using Public Resources in the General Domain.

Sensitive data is normally required to develop rule-based or train machine learning-based models for de-identifying electronic health record (EHR) clinical notes; and this presents important problems for patient privacy. In this study, we add non-sensitive public datasets to EHR training data; (i) scientific medical text and (ii) Wikipedia word vectors. The data, all in Swedish, is used to train a deep learning model using recurrent neural networks.

Smartphone-based computer vision travelling aids for blind and visually impaired individuals: A systematic review.

Given the growth in the numbers of visually impaired (VI) people in low-income countries, the development of affordable electronic travel aid (ETA) systems employing devices, sensors, and apps embedded in ordinary smartphones becomes a potentially cost-effective and reasonable all-in-one solution of utmost importance for the VI. This paper offers an overview of recent ETA research prototypes that employ smartphones for assisted orientation and navigation in indoor and outdoor spaces by providing additional information about the surrounding objects. Scientific achievements in the field were systematically reviewed using PRISMA methodology.

Impact of the Use of Electronic Health Tools on the Psychological and Emotional Well-Being of Electronic Health Service Users (The Seventh Tromsø Study - Part 3): Population-Based Questionnaire Study.

Background: Electronic health (eHealth) has been described as a silver bullet for addressing how challenges of the current health care system may be solved by technological solutions in future strategies and visions for modern health care. However, the evidence of its effects on service quality and cost effectiveness remains unclear. In addition, patients' psychological and emotional reactions to using eHealth tools are rarely addressed by the scientific literature.

Electronic Health Use in a Representative Sample of 18,497 Respondents in Norway (The Seventh Tromsø Study - Part 1): Population-Based Questionnaire Study.

Background: Electronic health (eHealth) services may help people obtain information and manage their health, and they are gaining attention as technology improves, and as traditional health services are placed under increasing strain. We present findings from the first representative, large-scale, population-based study of eHealth use in Norway.

Objective: The objectives of this study were to examine the use of eHealth in a population above 40 years of age, the predictors of eHealth use, and the predictors of taking action following the use of these eHealth services.

Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study.

Background: Patients who suffer from different diseases may use different electronic health (eHealth) resources. Thus, those who plan eHealth interventions should take into account which eHealth resources are used most frequently by patients that suffer from different diseases.

Objective: The aim of this study was to understand the associations between different groups of chronic diseases and the use of different eHealth resources.

The Association Between Health Information Seeking on the Internet and Physician Visits (The Seventh Tromsø Study - Part 4): Population-Based Questionnaire Study.

Background: The internet is being widely used for seeking health information. However, there is no consensus on the association between health information seeking on the internet and the use of health care services.

Objective: We examined the association between health information seeking via the internet and physician visits.

Indoor Navigation Systems for Visually Impaired Persons: Mapping the Features of Existing Technologies to User Needs.

Currently, several outdoor navigation and orientation electronic traveling aid (ETA) solutions for visually impaired (VI) people are commercially available or in active development. This paper's survey of blind experts has shown that after outdoor navigation, the second most important ETA feature for VI persons is indoor navigation and orientation (in public institutions, supermarkets, office buildings, homes, etc.).

The Learning Healthcare System: Where are we now? A systematic review.

Background And Objective: The Learning Healthcare System paradigm has attracted the attention of researchers worldwide. The great potential originating from high-scale health data reuse and the inclusion of patient perspectives into care models promises personalized care, lower costs of health services and minimized consumption of resources. The aim of this review is to summarize the attempts to adopt the novel paradigm, putting emphasis on implementations and evaluating the impact on current medical practices.

Video Conferencing Services in Healthcare: One Communication Platform to Support All.

We present a novel approach to the design of video conferencing (VC) systems, taking advantage of recent technological achievements in web-based implementation. Delivering VC functionality as a service over the Internet opens new grounds for easier integration, support, and application in many scenarios, since hardware-agnostic ad-hoc VC connections are a feature of the proposed architecture. Validity is demonstrated through latency measures in surgical telementoring service and comparing them to reported thresholds.

What device should be used for telementoring? Randomized controlled trial.

Background And Objective: The paper analyzes behavioral patterns of mentors while using different mentoring devices to demonstrate the feasibility of multi-platform mentoring. The fundamental differences of devices supporting telementoring create threats for the perception and interpretation of the transmitted video, highlighting the necessity of exploring hardware usability aspects in a safety critical surgical mentoring scenario.

Materials And Methods: Three types of devices, based on the screen size, formed the arms for the randomized controlled trial.

Assessing the impact of telestration on surgical telementoring: A randomized controlled trial.

Introduction: Using graphical annotations in surgical telementoring promises vast improvements in both clinical and educational outcomes. However, these assumptions do not consider the potential patient safety risks resulting from this feature. Major differences in regulations regarding the implementation of telestration encourage an assessment of the utility of this feature on the outcomes of telementoring sessions.

An evaluation framework for defining the contributions of telestration in surgical telementoring.

Background: An increasing quantity of research in the domain of telemedicine show a growing popularity and acceptance of care over distance systems among both clinicians and patients. We focus on telementoring solutions, developed for providing remote guidance to less experienced surgeons. Telestration is often regarded as an extra functionality of some telementoring systems.

Surgical telementoring in knowledge translation--clinical outcomes and educational benefits: a comprehensive review.

Background: Surgical telementoring has been reported for decades. However, there exists limited evidence of clinical outcome and educational benefits.

Objective: To perform a comprehensive review of surgical telementoring surveys published in the past 2 decades.