Esta pesquisa tem por objetivo estabeleceroselementos norteadores essenciaispara identificação de necessidades informacionais para o processo de formação da consciência situacional de defesa ...cibernética em operações militares. A metodologia do trabalho foi baseada em uma pesquisa de características descritiva, documental, bibliográfica, de observação participanteelidou com dados de natureza qualitativa.O resultado da pesquisa foi gerado a partir da correlação entre dois conjuntos de informações. O primeiro abrangeu oselementos teóricos oriundos da literatura científica e as referências advindas da literatura técnicae doutrinária pesquisada, enquanto o segundo foi composto dadocumentação sobre os fatos relevantes observados e das lições aprendidasnas operações militares de defesa cibernética. Como resultado, foram reconhecidos35elementos norteadores primordiais paraidentificação das necessidades informacionais. A conclusão do trabalho foi a concretização da possibilidade de se construir um conjunto de informações para subsidiar o conhecimento necessário àde consciência situacional de futuros comandantes de operações de defesa cibernética.
El presente trabajo de investigation versa sobre los asentamientos rurales andalusies situados al levante de la tierra de Malaga, concretamente las alquerias axarquicas. Haciendo uso tanto de la ...arqueologla como de la documentation escrita hemos recogido veintisiete alquerias donde nos marcamos como objetivos conocer las pautas de asentamiento, asi como sus caracteristicas y composition urbana a fin de descubrir donde y como se adaptaban y se disponian en un medio fisico mayoritariamente montanoso y que diferencias y sirnilimdes existian entre ellas en fiuicion de sus edificaciones. Los resultados nos permitiran conocer un gran numero de asentamientos designates en demografia y extension los cuales se desarrollaron en funcion de la explotacion de la agricultura de secano de los Montes de Malaga.
SAP Learning Journeys are a key element for providing a guiding path and framework for SAP users and implementation professionals to learn and stay current in their SAP product expertise. They also ...form a double bridge between the worlds of learning and technical documentation. On one hand, the Learning Journeys themselves are stored and maintained in the DITA content management system used for technical documentation, and then rendered both in the SAP Learning Hub and SAP Help Portal. On the other, the Learning Journeys allow the inclusion and referencing of technical documentation content into the learning offering modelled with the journeys. In this paper we will provide an account of how SAP Learning Journeys are managed and rendered, and what their evolving role is in the world of user enablement.
Indexing It All Day, Ronald E
2014, 20140919, 20140912, 2014-09-26, 2014-11-04
eBook
In this book, Ronald Day offers a critical history of the modern tradition of documentation. Focusing on the documentary index (understood as a mode of social positioning), and drawing on the work of ...the French documentalist Suzanne Briet, Day explores the understanding and uses of indexicality. He examines the transition as indexes went from being explicit professional structures that mediated users and documents to being implicit infrastructural devices used in everyday information and communication acts. Doing so, he also traces three epistemic eras in the representation of individuals and groups, first in the forms of documents, then information, then data. Day investigates five cases from the modern tradition of documentation. He considers the socio-technical instrumentalism of Paul Otlet, "the father of European documentation" (contrasting it to the hermeneutic perspective of Martin Heidegger); the shift from documentation to information science and the accompanying transformation of persons and texts into users and information; social media's use of algorithms, further subsuming persons and texts; attempts to build android robots--to embody human agency within an information system that resembles a human being; and social "big data" as a technique of neoliberal governance that employs indexing and analytics for purposes of surveillance. Finally, Day considers the status of critique and judgment at a time when people and their rights of judgment are increasingly mediated, displaced, and replaced by modern documentary techniques.
Medical documentation plays a crucial role in clinical practice, facilitating accurate patient management and communication among health care professionals. However, inaccuracies in medical notes can ...lead to miscommunication and diagnostic errors. Additionally, the demands of documentation contribute to physician burnout. Although intermediaries like medical scribes and speech recognition software have been used to ease this burden, they have limitations in terms of accuracy and addressing provider-specific metrics. The integration of ambient artificial intelligence (AI)-powered solutions offers a promising way to improve documentation while fitting seamlessly into existing workflows.
This study aims to assess the accuracy and quality of Subjective, Objective, Assessment, and Plan (SOAP) notes generated by ChatGPT-4, an AI model, using established transcripts of History and Physical Examination as the gold standard. We seek to identify potential errors and evaluate the model's performance across different categories.
We conducted simulated patient-provider encounters representing various ambulatory specialties and transcribed the audio files. Key reportable elements were identified, and ChatGPT-4 was used to generate SOAP notes based on these transcripts. Three versions of each note were created and compared to the gold standard via chart review; errors generated from the comparison were categorized as omissions, incorrect information, or additions. We compared the accuracy of data elements across versions, transcript length, and data categories. Additionally, we assessed note quality using the Physician Documentation Quality Instrument (PDQI) scoring system.
Although ChatGPT-4 consistently generated SOAP-style notes, there were, on average, 23.6 errors per clinical case, with errors of omission (86%) being the most common, followed by addition errors (10.5%) and inclusion of incorrect facts (3.2%). There was significant variance between replicates of the same case, with only 52.9% of data elements reported correctly across all 3 replicates. The accuracy of data elements varied across cases, with the highest accuracy observed in the "Objective" section. Consequently, the measure of note quality, assessed by PDQI, demonstrated intra- and intercase variance. Finally, the accuracy of ChatGPT-4 was inversely correlated to both the transcript length (P=.05) and the number of scorable data elements (P=.05).
Our study reveals substantial variability in errors, accuracy, and note quality generated by ChatGPT-4. Errors were not limited to specific sections, and the inconsistency in error types across replicates complicated predictability. Transcript length and data complexity were inversely correlated with note accuracy, raising concerns about the model's effectiveness in handling complex medical cases. The quality and reliability of clinical notes produced by ChatGPT-4 do not meet the standards required for clinical use. Although AI holds promise in health care, caution should be exercised before widespread adoption. Further research is needed to address accuracy, variability, and potential errors. ChatGPT-4, while valuable in various applications, should not be considered a safe alternative to human-generated clinical documentation at this time.