Ensuring Clinical Utility and Function in A Large Scale National Project in Australia by Embedding Clinical Informatics into Design
PubMed(2013)
Monash Univ
Abstract
Across the globe, healthcare delivery is being transformed by electronic sharing of health information. Such large scale health projects with a national focus are a challenge to design and implement. Delivering clinical outcomes in the context of policy, technical, and design environments represents a particular challenge. On July 1, 2012, Australia delivered the first stage of a personally controlled electronic health record-a national program for sharing a variety of health information between health professionals and between health professionals and consumers. As build of the system commenced, deficiencies of the traditional stakeholder consultation model were identified and replaced by a more structured approach, called clinical functional assurance. Utilising clinical scenarios linked to detailed design requirements, a team of clinicians certified clinical utility at implementation and release points.
MoreTranslated text
Key words
Electronic health records,Software design,Health policy
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined