75,620 research outputs found
Barriers and Facilitators of Suicide Risk Assessment in Emergency Departments: A Qualitative Study of Provider Perspectives
Objective
To understand emergency department (ED) providers’ perspectives regarding the barriers and facilitators of suicide risk assessment and to use these perspectives to inform recommendations for best practices in ED suicide risk assessment. Methods
Ninety-two ED providers from two hospital systems in a Midwestern state responded to open-ended questions via an online survey that assessed their perspectives on the barriers and facilitators to assess suicide risk as well as their preferred assessment methods. Responses were analyzed using an inductive thematic analysis approach. Results
Qualitative analysis yielded six themes that impact suicide risk assessment. Time, privacy, collaboration and consultation with other professionals and integration of a standard screening protocol in routine care exemplified environmental and systemic themes. Patient engagement/participation in assessment and providers’ approach to communicating with patients and other providers also impacted the effectiveness of suicide risk assessment efforts. Conclusions
The findings inform feasible suicide risk assessment practices in EDs. Appropriately utilizing a collaborative, multidisciplinary approach to assess suicide-related concerns appears to be a promising approach to ameliorate the burden placed on ED providers and facilitate optimal patient care. Recommendations for clinical care, education, quality improvement and research are offered
Information as a Commodity: New Imperatives of Commercial Law
Modern information technology modifies how commercial transactions occur and the subject matter of commerce itself. The challenge posed to scholars and policymakers by these issues is discussed
PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn
Preserving privacy of users is a key requirement of web-scale analytics and
reporting applications, and has witnessed a renewed focus in light of recent
data breaches and new regulations such as GDPR. We focus on the problem of
computing robust, reliable analytics in a privacy-preserving manner, while
satisfying product requirements. We present PriPeARL, a framework for
privacy-preserving analytics and reporting, inspired by differential privacy.
We describe the overall design and architecture, and the key modeling
components, focusing on the unique challenges associated with privacy,
coverage, utility, and consistency. We perform an experimental study in the
context of ads analytics and reporting at LinkedIn, thereby demonstrating the
tradeoffs between privacy and utility needs, and the applicability of
privacy-preserving mechanisms to real-world data. We also highlight the lessons
learned from the production deployment of our system at LinkedIn.Comment: Conference information: ACM International Conference on Information
and Knowledge Management (CIKM 2018
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Patient privacy protection using anonymous access control techniques
Objective: The objective of this study is to develop a solution to preserve security and privacy in a healthcare environment where health-sensitive information will be accessed by many parties and stored in various distributed databases. The solution should maintain anonymous medical records and it should be able to link anonymous medical information in distributed databases into a single patient medical record with the patient identity. Methods: In this paper we present a protocol that can be used to authenticate and authorize patients to healthcare services without providing the patient identification. Healthcare service can identify the patient using separate temporary identities in each identification session and medical records are linked to these temporary identities. Temporary identities can be used to enable record linkage and reverse track real patient identity in critical medical situations. Results: The proposed protocol provides main security and privacy services such as user anonymity, message privacy, message confidentiality, user authentication, user authorization and message replay attacks. The medical environment validates the patient at the healthcare service as a real and registered patient for the medical services. Using the proposed protocol, the patient anonymous medical records at different healthcare services can be linked into one single report and it is possible to securely reverse track anonymous patient into the real identity. Conclusion: The protocol protects the patient privacy with a secure anonymous authentication to healthcare services and medical record registries according to the European and the UK legislations, where the patient real identity is not disclosed with the distributed patient medical records
Delegating and Distributing Morality: Can We Inscribe Privacy Protection in a Machine?
This paper addresses the question of delegation of morality to a machine, through a consideration of whether or not non-humans can be considered to be moral. The aspect of morality under consideration here is protection of privacy. The topic is introduced through two cases where there was a failure in sharing and retaining personal data protected by UK data protection law, with tragic consequences. In some sense this can be regarded as a failure in the process of delegating morality to a computer database. In the UK, the issues that these cases raise have resulted in legislation designed to protect children which allows for the creation of a huge database for children. Paradoxically, we have the situation where we failed to use digital data in enforcing the law to protect children, yet we may now rely heavily on digital technologies to care for children. I draw on the work of Floridi, Sanders, Collins, Kusch, Latour and Akrich, a spectrum of work stretching from philosophy to sociology of technology and the “seamless web” or “actor–network” approach to studies of technology. Intentionality is considered, but not deemed necessary for meaningful moral behaviour. Floridi’s and Sanders’ concept of “distributed morality” accords with the network of agency characterized by actor–network approaches. The paper concludes that enfranchizing non-humans, in the shape of computer databases of personal data, as moral agents is not necessarily problematic but a balance of delegation of morality must be made between human and non-human actors
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