Protected Health Information NUR514
Protected Health Information NUR514
DQ2 Review HIPAA, protected health information (PHI), and requirements for privacy and confidentiality in EHRs. Discuss one ethical and one legal issue related to the use of EHRs that directly impact advanced registered nursing practice. Discuss possible consequences for compromising patient data and measures you can implement in your own practice to protect patient privacy and confidentiality.
What are the factors impacting informatics support for clinical and translational research?
In recent years, there have been numerous initiatives undertaken by members of the biomedical informatics (BMI) community to describe people, organizational, and leadership factors that influence the collection, management, analysis, and dissemination of data, information, and knowledge in support of biomedical research [1–4]. A common theme spanning these reports has been the critical role of predisposing or enabling factors that may impact the likelihood of achieving the promise of computational-approaches to such information needs . As clinical and translational science (CTS) emerges as a national priority, the correlating growth in the scale and scope of CTS research programs also causes a corresponding increase in the acuity of such information needs. [6–8]. At the same time, systematic evaluations of optimal people, organization, and leadership models related to the provision of data, information, and knowledge management technologies and methods relevant to the conduct of CTS are notably lacking. In this report, we describe an effort, focused on such factors in the specific context of clinical and translational science programs situated in academic healthcare centers (AHCs), intended to address the preceding gap in knowledge.
Key terms and definitions
Given that the intent of this report is to describe a survey and evaluation of such people, organizational and leadership factors that impact informatics support for CTS, it is important to provide shared context for key terms and concepts that we will use in the remainder of the manuscript. Do address this nee, we will utilize the following working definitions:
Computational and Information Science: The term Computer Science (CS) came into common use in the 1960’s, but does not necessarily correlate with a specific and community accepted definition of the focus and scope of the field. In a broad sense, CS can be defined, according to the Association for Computing Machinery (ACM) conventions, as the branch of science concerned with the theoretical and applied use of computers to process information. Of note, significant debate exists with regards to whether CS is a form of applied mathematics, engineering, or a distinct discipline unto itself . In a similar manner, a broadly accepted definition for the domain of Information Science (IS) is also lacking. Per an assessment of the relationships between CS, IS, and Biomedical Informatics by Shortliffe and Blois, the label, IS, “is occasionally used in conjunction with computer science, originating in the field of library science and is used to refer, somewhat generally, to the broad range of issues related to the management of both paper-based and electronically stored information”.
Biomedical Informatics: Biomedical Informatics (BMI) is “the interdisciplinary field that studies and pursues the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving, and decision making, motivated by efforts to improve human health”