scholarly journals Patient-centered Applications: Use of Information Technology to Promote Disease Management and Wellness. A White Paper by the AMIA Knowledge in Motion Working Group

2008 ◽  
Vol 15 (1) ◽  
pp. 8-13 ◽  
Author(s):  
G. Demiris ◽  
L. B. Afrin ◽  
S. Speedie ◽  
K. L. Courtney ◽  
M. Sondhi ◽  
...  
2018 ◽  
Vol 69 (2) ◽  
pp. 120-135 ◽  
Author(s):  
An Tang ◽  
Roger Tam ◽  
Alexandre Cadrin-Chênevert ◽  
Will Guest ◽  
Jaron Chong ◽  
...  

Artificial intelligence (AI) is rapidly moving from an experimental phase to an implementation phase in many fields, including medicine. The combination of improved availability of large datasets, increasing computing power, and advances in learning algorithms has created major performance breakthroughs in the development of AI applications. In the last 5 years, AI techniques known as deep learning have delivered rapidly improving performance in image recognition, caption generation, and speech recognition. Radiology, in particular, is a prime candidate for early adoption of these techniques. It is anticipated that the implementation of AI in radiology over the next decade will significantly improve the quality, value, and depth of radiology's contribution to patient care and population health, and will revolutionize radiologists' workflows. The Canadian Association of Radiologists (CAR) is the national voice of radiology committed to promoting the highest standards in patient-centered imaging, lifelong learning, and research. The CAR has created an AI working group with the mandate to discuss and deliberate on practice, policy, and patient care issues related to the introduction and implementation of AI in imaging. This white paper provides recommendations for the CAR derived from deliberations between members of the AI working group. This white paper on AI in radiology will inform CAR members and policymakers on key terminology, educational needs of members, research and development, partnerships, potential clinical applications, implementation, structure and governance, role of radiologists, and potential impact of AI on radiology in Canada.


2015 ◽  
Vol 24 (01) ◽  
pp. 8-10 ◽  
Author(s):  
B. Séroussi ◽  
M.-C. Jaulent ◽  
C. U. Lehmann

Summary Objectives: To provide an editorial introduction to the 2015 IMIA Yearbook of Medical Informatics. Methods: We provide a brief overview of the 2015 special topic “Patient-Centered Care Coordination”, discuss the addition of two new sections to the Yearbook, Natural Language Processing and Public Health & Epidemiology Informatics, and present our editorial plans for the upcoming celebration of the 25th anniversary of the Yearbook. Results: Care delivery currently occurs through the processing of complex clinical pathways designed for increasingly multi-morbid patients by various practitioners in different settings. To avoid the consequences of the fragmentation of services, care should be organized to coordinate all providers, giving them the opportunity to share the same holistic view of the patient’s condition, and to be informed of the planned clinical pathway that establishes the roles and interventions of each one. The adoption and use of electronic health records (EHRs) is a solution to address health information sharing and care coordination challenges. However, while EHRs are necessary, they are not sufficient to achieve care coordination, creating information availability does not mean the information will be accessed. This edition of the Yearbook acknowledges the fact that health information technology (HIT), and EHRs in particular, are not yet fully addressing the challenges in care coordination. Emerging trends, tools, and applications of HIT to support care coordination are presented through the keynote paper, survey papers, and working group contributions. Conclusions: In 2015, the IMIA Yearbook has been extended to emphasize two fields of biomedical informatics through new sections. Next year, the 25th anniversary of the Yearbook will be celebrated in grand style! A special issue with a touch of reflection, a bit of rediscovery, and some “science-fiction” will be published in addition to the usual edition.


2010 ◽  
Vol 2 (4) ◽  
pp. 435-454 ◽  
Author(s):  
José Pinheiro ◽  
Frederic Sax ◽  
Zoran Antonijevic ◽  
Björn Bornkamp ◽  
Frank Bretz ◽  
...  

Author(s):  
Erkki Harjula ◽  
Jani Hautakorpi ◽  
Nicklas Beijar ◽  
Mika Ylianttila

Due to the increasing popularity of Peer-to-Peer (P2P) computing, the information technology industry and standardization organizations have started to direct their efforts on standardizing P2P algorithms and protocols. The Internet Engineering Task Force (IETF) has recently formed the Peer-to-Peer SIP (P2PSIP) working group for enabling serverless operation of Session Initiation Protocol (SIP). This chapter introduces the P2PSIP by presenting its background and purpose, operational principles, current status, and application areas. The focus is on the challenges and problem areas from the viewpoint of standardization and related research. The mobile- and heterogeneous environments are considered with special care. The authors provide a glance to the existing and emerging solutions that may be used in tackling the mentioned challenges and thus paving the way for successful deployment of P2PSIP in mobile environments.


2016 ◽  
Vol 5 (2) ◽  
pp. 62 ◽  
Author(s):  
John Cantiello ◽  
Panagiota Kitsantas ◽  
Shirley Moncada ◽  
Sabiheen Abdul

Objective: Quality improvement in the healthcare industry has evolved over the past few decades. In recent years, an increased focus on coordination of care efforts and the introduction of health information technology has been of high importance in improving the quality of patient care.Methods: In this review, we present a history of quality improvement efforts, discuss quality improvement in the healthcare industry, and examine quality improvement strategies with a focus on patient-centered care and information technology applications via patient registries.Results: Evidence shows that the key to quality improvement efforts in the healthcare industry is the coordination of patient care efforts through better data evaluation processes. By utilizing patient registries that can be linked to electronic health records (EHRs) and the Patient-Centered Medical Home (PCMH) framework, the quality of care provided to patients can be improved.Conclusions: While many healthcare organizations have quality improvement departments or teams in place that may be able to handle these types of efforts, it is important for organizations to be familiar with processes and frameworks that employees at different levels of the organization can be involved in. In order to ensure successful outcomes from quality improvement initiatives, managers and clinicians should work together in identifying problems and developing solutions.


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