Scientific real-time research problem-solving and pharmaceutical innovation

Author(s):  
Chris William Callaghan
Author(s):  
Chris W. Callaghan

Background: Despite technological advances that offer new opportunities for solving societal problems in real time, knowledge management theory development has largely not kept pace with these developments. This article seeks to offer useful insights into how more effective theory development in this area could be enabled.Aim: This article suggests different streams of literature for inclusion into a theoretical framework for an emerging stream of research, termed ‘probabilistic innovation’, which seeks to develop a system of real-time research capability. The objective of this research is therefore to provide a synthesis of a range of diverse literatures, and to provide useful insights into how research enabled by crowdsourced research and development can potentially be used to address serious knowledge problems in real time.Setting: This research suggests that knowledge management theory can provide an anchor for a new stream of research contributing to the development of real-time knowledge problem solving.Methods: This conceptual article seeks to re-conceptualise the problem of real-time research and locate this knowledge problem in relation to a host of rapidly developing streams of literature. In doing so, a novel perspective of societal problem-solving is enabled.Results: An analysis of theory and literature suggests that certain rapidly developing streams of literature might more effectively contribute to societally important real-time research problem solving if these steams are united under a theoretical framework with this goal as its explicit focus.Conclusion: Although the goal of real-time research is as yet not attainable, research that contributes to its attainment may ultimately make an important contribution to society.


10.28945/3528 ◽  
2016 ◽  
Vol 11 ◽  
pp. 177-199 ◽  
Author(s):  
Chris W Callaghan

Knowledge management research applied to the development of real-time research capability, or capability to solve societal problems in hours and days instead of years and decades, is perhaps increasingly important, given persistent global problems such as the Zika virus and rapidly developing antibiotic resistance. Drawing on swarm intelligence theory, this paper presents an approach to real-time research problem-solving in the form of a framework for understanding the complexity of real-time research and the challenges associated with maximizing collaboration. The objective of this research is to make explicit certain theoretical, methodological, and practical implications deriving from new literature on emerging technologies and new forms of problem solving and to offer a model of real-time problem solving based on a synthesis of the literature. Drawing from ant colony, bee colony, and particle swarm optimization, as well as other population-based metaheuristics, swarm intelligence principles are derived in support of improved effectiveness and efficiency for multidisciplinary human swarm problem-solving. This synthesis seeks to offer useful insights into the research process, by offering a perspective of what maximized collaboration, as a system, implies for real-time problem solving.


Author(s):  
Rishabh Jallan ◽  
Abhishek Venkteshwar
Keyword(s):  

The overall purpose of the study and the research problem investigated- The purpose of the study is to get a thorough and a better understanding of what ethics and professionalism is and the research problem which was investigated was to understand how to practically apply the concept of ethics and professionalism.


2021 ◽  
Vol 309 ◽  
pp. 01121
Author(s):  
G Sandhya Rani ◽  
U Vijaya Laxmi ◽  
P Srividya Devi ◽  
M Naga Sandhya Rani

The objective of this paper is to monitor the electrical parameters like voltage, current, etc., remotely and display all the obtained real time values for a substation isolate. This paper is furnished to assure the load and electrical system equipment by the activation of relay, whenever the acquired parameters exceed the predefined values. Generally, this Proposed system design makes use of microcontroller, but the prototype of this circuit modelled in Proteus and can be executed by using ATmega 168 microcontroller. When supply is given to the designed hardware, all the sensors start sensing their respective parameters i. e., voltage, current, temperature etc., and modernize all the values on the display. Comparison between the problem-solving time values and the preordained values is continuously carried out by the microcontroller, if any of these values go beyond the pre-defined values, it sends fault alert to the relay, updates it on the screen and sends the same as an SMS through GSM for the rectification.


Author(s):  
Eric A Williams ◽  
Lauren Ladwig ◽  
De Ann Nikolai ◽  
Gay Matthews ◽  
Jeanine M Graf

Introduction: Our purpose was to develop a high reliability system (The SWARM) to empower frontline staff to share information regarding communication and process inefficiencies to rapidly develop solutions. Hypothesis: A systematic process for recognition, evaluation, and transparent feedback would increase the use of problem-solving. Methods: A multidisciplinary team, led by a physician and nurse, developed an email strategy to let frontline staff identify problems in real-time and solve and spread this knowledge throughout the CVICU and Heart Center. Problems submitted were outside the scope of institutional patient safety reporting. Unless immediate attention was required, the SWARM team evaluated entries weekly. Entries were categorized as: 1) Useful information to share with ICU staff; 2) More information needed to be obtained and personnel consulted; or 3) A multidisciplinary task force needed to generate consensus and evidence-based guidelines. Solutions were shared with ICU staff via direct email and a monthly newsletter. After 6 months ICU staff were surveyed with 5 questions regarding awareness, utility, and ease of use of the SWARM process. Staff were resurveyed after re-education and institution of leadership walk-rounds. Rates of SWARM entries before and after re-education were compared using Fisher’s Exact Test for proportions.*p<.05 Results: Of the total 65 SWARM entries, 9% were level 1, 86% were level 2 and 5% were level 3. Entries were categorized into problem types and are shown in the Pareto Chart as percent of total(See Chart). Pre- and post- survey results indicated that staff awareness increased from 70% to 91% and staff understanding of utility increased from 57% to 75%. After re-education, use in CVICU increased by 417% (0.7/week to 2.9/week)*. The increased rate of use of the SWARM system has been sustained for 8 weeks post education. The current rate is 1.8/week. The top two Solutions by category were Re-Education (62%) and Practice Change (17%). Conclusions: A system was developed to better manage quality through real-time awareness of our performance. The formal creation of a standardized context for information sharing has resulted in a significant increase in the performance of problem-solving. This multidisciplinary effort allows for minimizing unnecessary variation in how quality improvement efforts are identified and performed.


Author(s):  
Diana Loyd O'Neal

The purpose of the chapter is to guide teachers in development of authentic and engaging lessons through multidisciplinary integration. As cross-curricular lessons are implemented, collaborative support between science, math, ELA, social studies, and related arts classes builds excitement for teachers and students. Students are challenged to take ownership of learning using higher-level thinking skills, creativity in design, and practicing 21st century skills such as collaboration, research, problem solving, and innovation. The chapter provides examples of integrative ideas and suggestions on how to begin developing multidisciplinary lessons. Although the primary focus relates to the crosscutting concepts in science with ELA expectations, the resources provided also include integrations for other content areas as well. The goal of the chapter is to provide models for the development of inquiry-based, authentic, and engaging opportunities for students to develop higher conceptual understanding and offer methods for applying their learning to real-world concepts.


Author(s):  
Katharine Clemmer

Loyola Marymount University (LMU) has developed a new approach to problem solving, Collaborative Solution Discovery (CSD), to help practitioners in a school system leverage their individual passions in a way that grows students’ positive math identity through mathematical thinking, problem solving, and self-regulation. By focusing on how students and teachers interact with each other in real-time in an ideal classroom, practitioners take ownership of a process to guide their students in growing their positive math identity and thus taking ownership of their own math learning. Practitioners measure progress along the way through metrics that are created, defined, used, and continually refined by themselves to attain their ideal math learning environment. The entire CSD process results in a system that owns ist improvement efforts—improvement efforts that are flexible, adaptable, and sustainable.


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