Studies in health technology and informatics
-
Stud Health Technol Inform · Aug 2019
Model Performance Metrics in Assessing the Value of Adding Intraoperative Data for Death Prediction: Applications to Noncardiac Surgery.
We tested the value of adding data from the operating room to models predicting in-hospital death. We assessed model performance using two metrics, the area under the receiver operating characteristic curve (AUROC) and the area under the precision-recall curve (AUPRC), to illustrate the differences in information they convey in the setting of class imbalance. Data was collected on 74,147 patients who underwent major noncardiac surgery and 112 unique features were extracted from electronic health records. ⋯ AUROC increased as more features were added, but changes were small for some modeling approaches. In contrast, AUPRC, which reflects positive predicted value, exhibited improvements across all models. Using AUPRC highlighted the added value of intraoperative data, not seen consistently with AUROC, and that with class imbalance AUPRC may serve as the more clinically relevant criterion.
-
Stud Health Technol Inform · Aug 2019
Decentralized Privacy-Preserving Platform for Clinical Data Sharing and Analysis.
Collection and management of clinical data for administration and analysis is a time-consuming and complex task, especially when multiple data providers been involved. Even if people are willing to take on the burden for it, there is still no mature solution to protect data privacy for distributed data providers. Distributed ledger is an emerging technology that supports decentralized data sharing and management. ⋯ Our system, built on Hyperledger Fabric, used smart contract to execute data aggregation and provide basic analysis methods. The system used ledger and world status to record data access history and other metadata. This decentralized platform enables data providers to proactively share and protect their data, Thus can simplify clinical data collection procedure and promote efficient collaboration between providers.
-
Stud Health Technol Inform · Aug 2019
Understanding U.S. Adults' Zika Virus Risk Perceptions and Mitigation Behaviors to Improve Technology-Supported Risk Communication.
Understanding public risk perceptions, and how these affect behavior, is critical to public health's ability to leverage technology for risk communications. However, little is known about Zika virus risk perceptions. We addressed this gap by analyzing nationally representative (U. ⋯ Our results suggest that a minority of U. S. adults perceive Zika to be a major threat (13%), and only about 15% have taken protective actions. Our findings have implications for improving technology-supported risk communication.
-
Stud Health Technol Inform · Aug 2019
Development and Progression in Danish eHealth Policies: Towards Evidence-Based Policy Making.
In order to realise the potential benefits of eHealth, governments develop eHealth policies to define and prioritise initiatives, the strategic goals and the resulting benefits. During the 23 years with eHealth policies in Denmark only a few status reports with a systematic and transparent evaluation have been made. ⋯ Interestingly, strategies for evaluating the devolopment of eHealth and eHealth policies were very sparcely noted in the policies. For the first time the de-emphasising of evaluations of eHealth policies in Denmark has been empirically demonstrated, thus undermining the objective of obtaining evidence-based eHealth policies.
-
Stud Health Technol Inform · Aug 2019
Analysis and Measurement of China's Population Health Informatization Development Strategy.
This paper analyzes the development strategy of population health informatization in China, and summarizes the measurement direction and evaluation elements of population health informatization. Methods: Literature and field investigation, expert consultation and PEST analysis were used to determine the development level measurement and evaluation framework. ⋯ The information from hospitals and grass- roots medical and health institutions was also provided. From the perspective of the level of development, the framework of informatization evaluation is further refined.