HEALTH BANK - A Workbench for Data Science Applications in Healthcare
نویسندگان
چکیده
The enormous amounts of data that are generated in the healthcare process and stored in electronic health record (EHR) systems are an underutilized resource that, with the use of data science applications, can be exploited to improve healthcare. To foster the development and use of data science applications in healthcare, there is a fundamental need for access to EHR data, which is typically not readily available to researchers and developers. A relatively rare exception is the large EHR database, the Stockholm EPR Corpus, comprising data from more than two million patients, that has been been made available to a limited group of researchers at Stockholm University. Here, we describe a number of data science applications that have been developed using this database, demonstrating the potential reuse of EHR data to support healthcare and public health activities, as well as facilitate medical research. However, in order to realize the full potential of this resource, it needs to be made available to a larger community of researchers, as well as to industry actors. To that end, we envision the provision of an infrastructure around this database called HEALTH BANK – the Swedish Health Record Research Bank. It will function both as a workbench for the development of data science applications and as a data exploration tool, allowing epidemiologists, pharmacologists and other medical researchers to generate and evaluate hypotheses. Aggregated data will be fed into a pipeline for open e-access, while non-aggregated data will be provided to researchers within an ethical permission framework. We believe that HEALTH BANK has the potential to promote a growing industry around the development of data science applications that will ultimately increase the efficiency and effectiveness of healthcare.
منابع مشابه
A Narrative Review of Blockchain in Healthcare: Applications and challenges
Introduction: Healthcare as an industry has unique requirements such as patient security and privacy, interoperability, sharing, transmission, and access control of patient data. On the other hand, the advantages of blockchain technology and the compliance of these advantages with the requirements of the health industry have encouraged researchers to investigate the methods of applying blockcha...
متن کاملA Narrative Review of Blockchain in Healthcare: Applications and challenges
Introduction: Healthcare as an industry has unique requirements such as patient security and privacy, interoperability, sharing, transmission, and access control of patient data. On the other hand, the advantages of blockchain technology and the compliance of these advantages with the requirements of the health industry have encouraged researchers to investigate the methods of applying blockcha...
متن کاملHigh Precision Information Extraction
ABSTRACT Most fully automatic information extraction systems achieve less than 100% extraction precision and recall. On real applications these parameters typically vary between 50% to 95%, depending on the extraction method and source data. We present an information extraction system designed for applications where little or no error can be tolerated. The system is not fully automatic. Instead...
متن کاملInternet of Things: A Survey for the Individuals' E-Health Applications
In today's world, the Internet of Things (IoT), which is a fairly new technology, has become a popular topic for discussion. Meanwhile, the increasing demand for personalized healthcare with the assistance of new technologies has created new applications called e-health IoT applications; however, researchers are still attempting to find its applications, therefore they have not been able to foc...
متن کاملDeterminants of healthcare expenditures in Iran: evidence from a time series analysis
Background: A dramatic increase in healthcare expenditures is a major health policy concern worldwide. Understanding factors that underlie the growth in healthcare expenditures is essential to assist decision-makers in finding best policies to manage healthcare costs. We aimed to examine the determinants of healthcare spending in Iran over the periods of 1978-2011. Methods: A time series ana...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015