Articles: computers.
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There is increasing interest in using electronic behavioral interventions as well as mobile technologies such as smartphones for improving the care of chronic disabling diseases such as migraines. However, less is known about the current clinical evidence for the feasibility and effectiveness of such behavioral interventions. ⋯ Despite the move toward individualized medicine and mHealth, the current literature shows that most studies using electronic behavioral intervention for the treatment of headache did not use mobile devices. The studies examining mobile devices showed that the behavioral interventions that employed them were acceptable to patients. Data are limited on the dose required, long term efficacy, and issues related to the security and privacy of this health data. This study was registered at the PROSPERO International Prospective Register of Systematic Reviews (CRD42015032284) (Prospero, 2015).
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Mobile devices, wireless networks and software have significantly evolved since the late 1990s and are now available with sufficient computing power, speed and complexity to allow real-time interpretation of radiology studies. Emergency radiology (ER)'s time-sensitive nature would seem to be an excellent match for study interpretation using mobile devices, allowing the radiologist to read studies anywhere, at any time. ⋯ In the ER setting, we suggest that the best use of mobile devices is to be available to consult directly with patients about their imaging findings and to the clinical team during rounds and at handover. This will bring the radiologist to the clinician and patient, helping us to better understand the patient's presentation, educate both the physician and patient and increase the visibility and value of the radiologist as a member of the clinical care team.
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Health Informatics J · Dec 2015
ReviewUse of mobile devices in the emergency department: A scoping review.
Electronic health records are increasingly used in regional health authorities, healthcare systems, hospitals, and clinics throughout North America. The emergency department provides care for urgent and critically ill patients. Over the past several years, emergency departments have become more computerized. ⋯ Our findings suggest that there is very little research evidence that supports the use of these mobile devices, and more research is needed to better understand and optimize the use of mobile devices. Given the prevalence of handheld devices, it is inevitable that more decision support, charting, and other activities will be performed on these devices. These developments have the potential to improve the quality and timeliness of care but should be thoroughly evaluated.
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Spurred by advances in processing power, memory, storage, and an unprecedented wealth of data, computers are being asked to tackle increasingly complex learning tasks, often with astonishing success. Computers have now mastered a popular variant of poker, learned the laws of physics from experimental data, and become experts in video games - tasks that would have been deemed impossible not too long ago. In parallel, the number of companies centered on applying complex data analysis to varying industries has exploded, and it is thus unsurprising that some analytic companies are turning attention to problems in health care. ⋯ It is important to note that seemingly large enough medical data sets and adequate learning algorithms have been available for many decades, and yet, although there are thousands of papers applying machine learning algorithms to medical data, very few have contributed meaningfully to clinical care. This lack of impact stands in stark contrast to the enormous relevance of machine learning to many other industries. Thus, part of my effort will be to identify what obstacles there may be to changing the practice of medicine through statistical learning approaches, and discuss how these might be overcome.
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Virtual microscopy is a method for digitizing images of tissue on glass slides and using a computer to view, navigate, change magnification, focus and mark areas of interest. Virtual microscope systems (also called digital pathology or whole slide imaging systems) offer several advantages for biological scientists who use slides as part of their general, pharmaceutical, biotechnology or clinical research. The systems usually are based on one of two methodologies: area scanning or line scanning. ⋯ Additional challenges include maintaining focus in an uneven sample, detecting specimens accurately, maximizing color fidelity with optimal brightness and contrast, optimizing resolution and keeping the images artifact-free. There are several manufacturers in the field and each has not only its own approach to these issues, but also its own image analysis software, which provides many options for users to enhance the speed, quality and accuracy of their process through virtual microscopy. Virtual microscope systems are widely used and are trusted to provide high quality solutions for teleconsultation, education, quality control, archiving, veterinary medicine, research and other fields.