1,721,020 research outputs found
GCH-OSQL: un linguaggio per l'interrogazione di basi di dati temporali orientate agli oggetti
No full textApps for hearing science and care
No full textPurpose: Our research aims at the identification and assessment of applications (referred to as apps) in the hearing health care domain. This research forum article presents an overview of the current availability, affordability, and variety of hearing-related apps. Method: The available apps were reviewed by searching on the leading platforms (iOS, Android, Windows Phone stores) using the keywords hearing, audiology, audio, auditory, speech, language, tinnitus, hearing loss, hearing aid, hearing system, cochlear implant, implantable device, auditory training, hearing rehabilitation, and assistive technology/tool/device. On the basis of the offered services, apps were classified into 4 application domains: (a) screening and assessment, (b) intervention and rehabilitation, (c) education and information, and (d) assistive tools. Conclusions: A large variety of apps are available in the hearing health care domain. These cover a wide range of services for people with hearing or communication problems as well as for hearing professionals, families, or informal caregivers. This evolution can potentially bring along considerable advantages and improved outcomes in the field of hearing health care. Nevertheless, potential risks and threats (e.g., safety, quality, effectiveness, privacy, and regulation) should not be overlooked. Significant research— particularly in terms of assessment and guidance—is still needed for the informed, aware, and safe adoption of hearing-related apps by patients and professionals
A pictorial schema for a comprehensive user-oriented identification of medical apps
Full text linkOBJECTIVE: The huge amount of released medical apps prevents medical app users from believing that medical scientific societies and other accreditation bodies as well, have the resources and the power for assigning to any medical app a quality score. By the time being, any medical app user has to take the risks related to the frequently insufficient accreditation of that app. Providing clear user-oriented schemas, to be adopted both when putting a medical App on the market and when an App comes to be evaluated by a cohort or single users, becomes crucial. The aim of our research was to define a pictorial identification one-shot schema for a comprehensive user-oriented identification of medical apps.
METHODS:
Adopting a pictorial approach is common in software design modeling. To build up our identification schema we started from the limited number of Apps already available on a web site of app reviews (iMedicalApps.com), and we identified an appropriately large set of attributes for describing medical apps. We arranged the attributes in six main families. We organized them in a one-shot comprehensive pictorial schema. We adopted a traffic light color code for assessing each attribute, that was sufficient to provide simple elements of alerts and alarms regarding a single App. Then, we considered apps from iMedicalApps.com web site belonging to three medical specialties: cardiology, oncology, and pharma and analyzed them according to the proposed pictorial schema.
RESULTS:
A pictorial schema having the attributes grouped in the families related to "Responsible Promoters", "Offered Services", "Searching Methods", "Applications Domains", "Envisaged Users", and "Qualifiers and Quantifiers" has been identified. Furthermore, we produced a one-shot pictorial schema for each considered app, and for each medical specialty, we produced it also in an aggregated form.
CONCLUSIONS:
The one-shot pictorial schema provides a useful perception of when and where to use a considered app. It fits positively the expectations of potential but different user's profiles. It can be a first step towards a systematic assessment of apps from the user viewpoint
Modelling, designing, and implementing a family-based health record prototype
No full textWithin the arising and fast growing trend of the personalized healthcare, the promising Personalized Health Informatics (PHI) asks to be understood, modelled, implemented, and tested. The central idea of "keeping healthy lifestyle", that grounds the development of PHI systems, needs to be extended to the digital family group, where the middle generation (the "parents") manages the responsibility of taking care and improving the health of the weaker members (children and grandparents). The family environment is also a fundamental indicator of disease risk. We modelled, designed, and implemented a prototype for the health data management in a multigenerational family environment
Education in biomedical informatics: Learning by doing bioimage archiving
No full textFor a common user, bioimages seem to be very easy to treat, to read, to understand and, therefore, to archive. Conversely, bioimage archiving require a very complex design and implementation process that needs skilled and trained technicians. We proposed to a class of bioengineering students at the Politecnico University of Milan the implementation of a hand image repository specifically designed for highlighting the main features that should be taken into account when treating bioimage archives. Students were required to build the archive with software tools they had previously learned in other programming language courses and available at the university informatics class-rooms
Improving the management of PTCA data and images by OODBMS
No full textUse of rotational models play an important role in implementing time-oriented medical records (TOMR) management systems. The authors describe the first steps in implementing TOMR with object-oriented methods and instruments. They focus attention on needs of data and image integration in a haemodynamic lab where PTCA (percutaneous transluminal coronary artery angioplasty) patients are dealt with. The features of object-oriented database management systems are discussed. The design considerations and system description are outlined
WWW-based Access to Object-Oriented Clinical Databases: the KHOSPAD Project. In: APPEL, R.D., SCHERRER J.-R. (eds.) Internet for Medicine and Health Care. Special Issue
No full textThe ALFA4Hearing Model (At-a-Glance Labeling for Features of Apps for Hearing Health Care) to Characterize Mobile Apps for Hearing Health Care
No full text
Purpose
The aim of the study was to analyze, by using the ALFA4Hearing model (At-a-Glance Labeling for Features of Apps for Hearing Health Care), a sample of apps over a wide range of services in the hearing health care (HHC) domain in order to take a first picture of the current scenario of apps for HHC.
Method
We tested 120 apps, and we characterized them by using the ALFA4Hearing model, which includes 29 features in 5 components (Promoters, Services, Implementation, Users, and Descriptive Information). We analyzed (a) the distribution of the 29 features in the sample, (b) the relationship between the Implementation features and the Services provided by the apps, and (c) the distribution of the 29 features in apps for professional use.
Results
The analysis of our sample of apps by means of the ALFA4Hearing model highlighted interesting trends and emerging challenges. Also, results suggested many potential opportunities for research and clinical practice, such as greater involvement of stakeholders, improved evidence base, higher technical quality, and usability.
Conclusions
The ALFA4Hearing model is able to represent, at a glance, a large amount of information about apps for HHC, highlighting trends and challenges. It might be useful to HHC professionals as a basis for app characterization and informed decision making.
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