Using practice analytics to understand variation and support re-flective practice: A protocol for a comprehensive digital health re-search program (Preprint)

2021 ◽  
Author(s):  
Anna Janssen ◽  
Stella Talic ◽  
Dragan Gasevic ◽  
Tim Shaw

BACKGROUND There is an increasing quantity of electronic data sitting within the health system. This data has untapped potential to improve clinical practice if extracted efficiently and harnessed to change the behavior of health professionals. Furthermore, there is an in-creasing expectation by government and peak bodies that both individual health pro-fessionals and healthcare organisations will be utilising electronic data for licensing and accreditation. OBJECTIVE The objective of this study is to understand how digital technology for harnessing elec-tronic health data can be used effectively by health professionals to support practice reflection. METHODS A multidisciplinary approach was used to connect academic experts from core disci-plines of Health and Medicine, Education and Learning Sciences, and Engineering and Information Communication Technology (ICT) with government and health services partners to identify key problems preventing the healthcare industry from using elec-tronic data to support health professional learning. The approach was used to design a large-scale research program to solve this problem. The program will be delivered by doctoral candidates undertaking research projects with discrete aims that run in paral-lel to achieve the program’s overarching objectives. RESULTS The research program commenced in March 2020. Since this time four PhD Candidates have commenced their research projects. Preliminary findings are expected from indi-vidual projects in late 2021. CONCLUSIONS The approach used in this research program has potential to successfully unpack elec-tronic data siloed within clinical sites and enable health professionals to use it to reflect on their practice and deliver high quality care. Key outputs of the program will include fostering stronger connections between industry and academia, interlinking doctoral research projects to solve complex problems, the creation of new knowledge for clinical sites on how data can be used to understand performance and strengthening profes-sional development programs to align them with clinical practice. Key contributions of this paper include presenting a description of Practice Analytics, and describing the foundational academic disciplines that contribute to it. It will also present a method for designing a Practice Analytics research program.

Author(s):  
Lorenz H Lehmann ◽  
Benjamin Meder

Abstract We report here our experience during a total blackout of all computer systems at a large-scale medical university center lasting for almost two days, affecting not only the hospital information system, but also all PACS systems, access to laboratory data, office and email software and even the personnel’s ability to log into their accounts. While initially threatening, staff quickly adapted to the situation and the promise of ‘digital health’ to enable more time for the patient and improve communication, was essentially fulfilled when our computer system was totally down. Based on our experience, we recommend an involvement of health professionals and their medical societies in every step of the digital transformation to accomplished this mission in a responsible, safe and human-centered way.


Author(s):  
Arnoud Oude Groote Beverborg ◽  
Tobias Feldhoff ◽  
Katharina Maag Merki ◽  
Falk Radisch

AbstractSchools are continuously confronted with various forms of change, including changes in students’ demographics, large-scale educational reforms, and accountability policies aimed at improving the quality of education. On the part of the schools, this requires sustained adaptation to, and co-development with, such changes to maintain or improve educational quality. As schools are multilevel, complex, and dynamic organizations, many conditions, factors, actors, and practices, as well as the (loosely coupled) interplay between them, can be involved therein (e.g. professional learning communities, accountability systems, leadership, instruction, stakeholders, etc.). School improvement can thus be understood through theories that are based on knowledge of systematic mechanisms that lead to effective schooling in combination with knowledge of context and path dependencies in individual school improvement journeys. Moreover, because theory-building, measuring, and analysing co-develop, fully understanding the school improvement process requires basic knowledge of the latest methodological and analytical developments and corresponding conceptualizations, as well as a continuous discourse on the link between theory and methodology. The complexity places high demands on the designs and methodologies from those who are tasked with empirically assessing and fostering improvements (e.g. educational researchers, quality care departments, and educational inspectorates).


2021 ◽  
Author(s):  
Helen Almond ◽  
Karrie Long ◽  
Guillaume Leroux

Globally, the term person-centred care has become all-pervasive across healthcare delivery. It has been suggested that it has become synonymous with good quality care. The term is used frequently in the aims and objectives for healthcare service and provision, although what lies behind the rhetoric in terms of practice may be questionable. Further, in an environment which is becoming increasingly dependent on technology, the interaction needs the user experience of both consumer and healthcare provider. There is a challenge as national surveys of health professionals continue to criticize the usability of digital health interfaces. This panel discussion aims to highlight the factors, which should be considered when designing health information interfaces as person-centred for all users. Drawing on our panel’s expertise, we suggest interfaces need to consider two main factors: personalization and user acceptance.


2017 ◽  
Vol 41 (S1) ◽  
pp. S738-S738
Author(s):  
G. Mattei ◽  
S. Bursi ◽  
R. Bursi ◽  
A. Colantoni

Clinical practice and research are frequently seen as two worlds apart, in psychiatry as in the vast majority of medical specialties. In order to bridge the gap between them, economic founds and grants are required, not always easy to obtain. In this contribution we report the birth of the Association for Research in Psychiatry (ARPSY) and its main activities. ARPSY was born in May 2016 thanks to a research prize assigned to dr. Giorgio Mattei by the eight Rotary Clubs of the Province of Modena, Italy (Rotary Club Modena, Mirandola, Carpi, Sassuolo, Vignola Castelfranco Bazzano, Frignano, Modena L.A. Muratori, Castelvetro di Modena Terra dei Rangoni, that altogether make up the so-called “Ghirlandina Group”). Aim of the association is to promote mental health among students and trainees, mental health professionals, patients and their families, and among the general population by means of fund raising, in order to finance research projects, clinical interventions and educational activities.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2017 ◽  
Vol 10 (6) ◽  
pp. 568-572 ◽  
Author(s):  
Catherine L Winchester ◽  
Mark J Salji ◽  
Veeru Kasivisvanathan

Prior to any large-scale basic science or clinical research project being funded, it is important for researchers to gather preliminary data. This is essential for providing evidence for the feasibility of research projects and helping to design larger-scale studies. When gathering preliminary data one needs to consider how many data are required, how this work is to be funded and where and when the data will be generated. Most importantly researchers should ensure that the planned data collection will be meaningful, serve its intended purpose and follow the principles of good clinical practice.


2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Young-Dan Cho ◽  
Woo-Jin Kim ◽  
Hyun-Mo Ryoo ◽  
Hong-Gee Kim ◽  
Kyoung-Hwa Kim ◽  
...  

Abstract Background The Encyclopedia of DNA Elements (ENCODE) project has advanced our knowledge of the functional elements in the genome and epigenome. The aim of this article was to provide the comprehension about current research trends from ENCODE project and establish the link between epigenetics and periodontal diseases based on epigenome studies and seek the future direction. Main body Global epigenome research projects have emphasized the importance of epigenetic research for understanding human health and disease, and current international consortia show an improved interest in the importance of oral health with systemic health. The epigenetic studies in dental field have been mainly conducted in periodontology and have focused on DNA methylation analysis. Advances in sequencing technology have broadened the target for epigenetic studies from specific genes to genome-wide analyses. Conclusions In line with global research trends, further extended and advanced epigenetic studies would provide crucial information for the realization of comprehensive dental medicine and expand the scope of ongoing large-scale research projects.


Epidemiologia ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 315-324
Author(s):  
Juan M. Banda ◽  
Ramya Tekumalla ◽  
Guanyu Wang ◽  
Jingyuan Yu ◽  
Tuo Liu ◽  
...  

As the COVID-19 pandemic continues to spread worldwide, an unprecedented amount of open data is being generated for medical, genetics, and epidemiological research. The unparalleled rate at which many research groups around the world are releasing data and publications on the ongoing pandemic is allowing other scientists to learn from local experiences and data generated on the front lines of the COVID-19 pandemic. However, there is a need to integrate additional data sources that map and measure the role of social dynamics of such a unique worldwide event in biomedical, biological, and epidemiological analyses. For this purpose, we present a large-scale curated dataset of over 1.12 billion tweets, growing daily, related to COVID-19 chatter generated from 1 January 2020 to 27 June 2021 at the time of writing. This data source provides a freely available additional data source for researchers worldwide to conduct a wide and diverse number of research projects, such as epidemiological analyses, emotional and mental responses to social distancing measures, the identification of sources of misinformation, stratified measurement of sentiment towards the pandemic in near real time, among many others.


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