QRStream: A Secure and Convenient Method for Text Healthcare Data Transferring.

With the increasing of health awareness, the users become more and more interested in their daily health information and healthcare activities results from healthcare organizations. They always try to collect them together for better usage. Traditionally, the healthcare data is always delivered by paper format from the healthcare organizations, and it is not easy and convenient for data usage and management. They would have to translate these data on paper to digital version which would probably introduce mistakes into the data. It would be necessary if there is a secure and convenient method for electronic health data transferring between the users and the healthcare organizations. However, for the security and privacy problems, almost no healthcare organization provides a stable and full service for health data delivery. In this paper, we propose a secure and convenient method, QRStream, which splits original health data and loads them onto QR code frame streaming for the data transferring. The results shows that QRStream can transfer text health data smoothly with an acceptable performance, for example, transferring 10K data in 10 seconds.

Analysis of HL7 EHRS Functional Model and Suggested Applications in China.

HL7 electronic health record system (EHRS) functional model is an international standard which gives scientific instructions for EHRS design and implementation. It has the features of technological irrelevancy, requirement hierarchy and functional comprehensiveness. It is composed of overarching, care provision, care provision support, administrative support, population health support, record infrastructure and trusted infrastructure. This paper describes the functionalities of each section in detail. To apply this functional model, the history of Chinese health information system construction is reviewed and the weakness is analyzed as a basis. Then this paper gives suggestions on the construction of health information system in China: to enhance the functionality of healthcare systems, to enhance the information network function of regional health information network (RHIN), and to redesign the trust architecture of RHIN.

CrowdMapping: A Crowdsourcing-Based Terminology Mapping Method for Medical Data Standardization.

Standardized terminology is the prerequisite of data exchange in analysis of clinical processes. However, data from different electronic health record systems are based on idiosyncratic terminology systems, especially when the data is from different hospitals and healthcare organizations. Terminology standardization is necessary for the medical data analysis. We propose a crowdsourcing-based terminology mapping method, CrowdMapping, to standardize the terminology in medical data. CrowdMapping uses a confidential model to determine how terminologies are mapped to a standard system, like ICD-10. The model uses mappings from different health care organizations and evaluates the diversity of the mapping to determine a more sophisticated mapping rule. Further, the CrowdMapping model enables users to rate the mapping result and interact with the model evaluation. CrowdMapping is a work-in-progress system, we present initial results mapping terminologies.