SCAN Fact Sheets: Current, Accurate, Evidence-Based, and Relevant Information now and in the Future

2015 ◽  
Vol 115 (9) ◽  
pp. A54
Author(s):  
S. Stastny ◽  
S. Chaffee ◽  
K. Kester ◽  
A. Clark ◽  
R. Gonzalez
Keyword(s):  
Relevant Information ◽  
Evidence Based ◽  
The Future

Patients’ Perceptions and Attitudes Regarding the Pre-Anesthesia Clinic (PAC) at the National Guard Hospital in Riyadh, Saudi Arabia: An Exploratory Study (Preprint)

2020 ◽  
Author(s):  
Ghdeer Tashkandi ◽  
Samina Abidi
Keyword(s):  
Saudi Arabia ◽  
Exploratory Study ◽  
National Guard ◽  
Active Role ◽  
Relevant Information ◽  
Educational Interventions ◽  
Evidence Based ◽  
Quantitative Research Methods ◽  
Perceptions And Attitudes ◽  
Educational Information

BACKGROUND Preoperative services and education allow patients to take an active role in their recovery and reduce the risk of post-operative complications. Exploring patients’ perceptions and attitudes regarding pre-anesthesia services and education helps reveal gaps in patients’ uptake of them so that targeted educational interventions can be designed and implemented. OBJECTIVE This is an exploratory study aimed at increasing the understanding of patients’ perceptions and concerns about and the adequacy of the pre-anesthesia services and educational content provided to them at the pre-anesthesia clinic (PAC) of the National Guard Hospital (NGH) in Riyadh, Saudi Arabia. The information gathered will be used to design and develop an electronic patient education system that will allow patients to access personalized, evidence-based pre-anesthesia information relevant to their upcoming surgeries. METHODS Quantitative research methods are used to collect relevant information from patients using a closed-ended questionnaire. The questionnaire includes items on demographics, patients’ perceptions and concerns regarding anesthesia, and the assessment of pre-anesthesia information adequacy. RESULTS Our results showed that 94% of the participants consider the PAC very important, and more than half of the participants (56%) were interested in receiving additional educational information about anesthesia via mobile applications. While 100% of the participants were satisfied with the information and services provided at the clinic, the assessment of this information and service adequacy indicated that participants were not adequately informed about anesthesia. Among the most common anesthesia-related concerns were the inability to wake up after anesthesia, becoming paralyzed after spinal anesthesia, the possibility of staying in the ICU after the surgery and developing back pain. CONCLUSIONS This gathered information will be used to design and develop an educational intervention that will deliver evidence-based, personalized and easy to understand educational instructions to patients to better prepare them for their upcoming surgery. The proposed system will overcome the problems of (i) the spread of generalized unrelated educational information and instructions, (ii) patients forgetting or misunderstanding the given instructions, (iii) issues with the accessibility of information, and (iv) a lack of communication and interaction between patients and their anesthetist.

scholarly journals Ethnolichenology—The Use of Lichens in the Himalayas and Southwestern Parts of China

Diversity ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 330
Author(s):  
Mei-Xia Yang ◽  
Shiva Devkota ◽  
Li-Song Wang ◽  
Christoph Scheidegger
Keyword(s):  
Traditional Medicine ◽  
Additional Research ◽  
Lichen Species ◽  
Evidence Based ◽  
Modern Life ◽  
The Future ◽  
Ethnic Uses

Lichens are used in traditional medicine, food and various other ethnic uses by cultures across the Himalayas and southwestern parts of China. Evidence-based knowledge from historical and modern literatures and investigation of ethnic uses from 1990 proved that lichen species used as medicine in the Himalayas and southwestern parts of China totaled to 142 species; furthermore, 42 species were utilized as food. Moreover, some lichens are popularly used for lichen produce in ethnic and modern life. An understanding and clarification of the use of lichens in the Himalayas and southeastern parts of China can therefore be important for understanding uses of lichens elsewhere and a reference for additional research of lichen uses in the future.

CAN BAYESIAN METHODS MAKE DATA AND ANALYSES MORE RELEVANT TO DECISION MAKERS?

2001 ◽  
Vol 17 (1) ◽  
pp. 114-122 ◽  
Author(s):  
Steven H. Sheingold
Keyword(s):  
Decision Making ◽  
Bayesian Methods ◽  
Paradigm Shift ◽  
Relevant Information ◽  
Decision Makers ◽  
Evidence Based ◽  
Critical Importance ◽  
Bayesian Approaches ◽  
Bayesian Analyses ◽  
And Performance

Decision making in health care has become increasingly reliant on information technology, evidence-based processes, and performance measurement. It is therefore a time at which it is of critical importance to make data and analyses more relevant to decision makers. Those who support Bayesian approaches contend that their analyses provide more relevant information for decision making than do classical or “frequentist” methods, and that a paradigm shift to the former is long overdue. While formal Bayesian analyses may eventually play an important role in decision making, there are several obstacles to overcome if these methods are to gain acceptance in an environment dominated by frequentist approaches. Supporters of Bayesian statistics must find more accommodating approaches to making their case, especially in finding ways to make these methods more transparent and accessible. Moreover, they must better understand the decision-making environment they hope to influence. This paper discusses these issues and provides some suggestions for overcoming some of these barriers to greater acceptance.

Policy analysis in think tanks

2017 ◽  
Author(s):  
Mauricio I. Dussauge-Laguna ◽  
Marcela I. Vazquez
Keyword(s):  
Policy Analysis ◽  
Communication Channels ◽  
Relevant Information ◽  
Think Tanks ◽  
The Third ◽  
The Future ◽  
Future Challenges ◽  
The Impact

The chapter provides an overview of how policy analysis takes place in Mexican Think Tanks. It focuses on two of the few organisations of this kind that currently exist in the country: the Centro de Investigación para el Desarrollo (CIDAC, or Centre for Research for Development) and the Centro de Estudios Espinosa Yglesias (CEEY, or Centre of Studies Espinosa Yglesias). The chapter is divided into four sections. The first discusses the main features of think tanks, with a particular focus on the Mexican ones. The second presents the origins and general objectives of CIDAC and CEEY, and describes how these two organizations conduct policy analysis. The third compares both cases, paying particular attention to how they define their topics of interest, how they gather relevant information, what kind of policy products they generate, what kind of communication channels they use, and how they assess the impact that their analyses may have had. The chapter closes with some conclusions and general remarks about the future challenges of policy analysis in Mexican think tanks.

scholarly journals Fog Computing in the context of Smart Home, voice assistant and the future of IoT

2020 ◽  
Vol 21 (1) ◽  
pp. 6-12
Author(s):  
Javier Pinzón Castellanos ◽  
Miguel Antonio Cadena Carter
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Data Transmission ◽  
Smart Home ◽  
Fog Computing ◽  
Relevant Information ◽  
Raspberry Pi ◽  
Thermal Sensors ◽  
Computing Architecture ◽  
The Future

Fog Computing is the distributed computing layer that lies between the user and the cloud. A successful fog architecture reduces delay or latency and increases efficiency. This paper describes the development and implementation of a distributed computing architecture applied to an automation environment that uses Fog Computing as an intermediary with the cloud computing layer. This study used a Raspberry Pi V3 board connected to end control elements such as servomotors and relays, indicators and thermal sensors. All is controlled by an automation framework that receives orders from Siri and executes them through predetermined instructions. The cloud connection benefits from a reduced amount of data transmission, because it only receives relevant information for analysis.

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