Pulkit Mehndiratta

Applying data mining techniques to standardized electronic health records for decision support

Data Mining is very popular in todays era because it provides access to the information that is hidden from a normal human being eye. The hidden information that is made available through data mining can benefit the person involved by providing an efficient decision support. Today data mining can be applied to various areas such as marketing, banking, aerospace and healthcare. It is identified that providing decision support in healthcare domain can help in saving human life. Although providing decision support through data mining in healthcare is very beneficial but it lacks standardization. A comparison of benefits gained from applying data mining techniques to standardized and non-standardized EHRs is provided. This paper aims to indentify the need of applying data mining techniques to standardized electronic healthcare records. It interrogates various issues that need to be resolved for providing an efficient standardized decision support system.

Mining Standardized Semantic Interoperable Electronic Healthcare Records

There is vast potential for data mining applications in healthcare. Generally, these applications can be grouped as the evaluation of treatment effectiveness; management of healthcare; customer relationship management; and detection of fraud and abuse. To build the knowledge that is universally true, data has to be collected from all over the world. Collecting such large amount of data to prepare a single database that can be used to apply data mining techniques requires many challenges to be faced by the researcher. Till date no standard is adopted universally that imposes some guidelines on storing the data in a particular format. We propose to use a generic database to collect standardized EHR data that is available in different formats and at different geographical regions. This paper proposes a framework for applying data mining techniques to healthcare database stored on the basis of row model. We also try to incorporate protective measures in the architecture for privacy of the user, try to secure the data collected from various sources and also use of authentication mechanism at interface level.

Elections Again, Twitter May Help!!! A Large Scale Study for Predicting Election Results Using Twitter

With the widespread acceptability of social media and networking sites, more and more people are coming forward to express their views and opinion about multidisciplinary topics. Nevertheless, people do talk about politics and politicians on these sites enabling us to explore the opportunity of monitoring and mining the opinions of large number of politically active population in real time. In this paper, we have tried to analyze a very famous micro-blogging online social network Twitter, where users read and write millions of short messages known as tweets on a variety of topics every day. We conducted the content analysis of over 0.25 million tweets containing a reference to either a political party or a politician for election which were being conducted in April 2014 in India. Our analysis for tweets indicated a very close connection to the parties and political position of politicians thus, can conceivably imitate the offline landscape of the elections. Finally, we discuss the use of micro-blogging message content as a legitimate pointer of political sentiments and develop suggestions for the future research.

A Model of Privacy and Security for Electronic Health Records

Information and communication technology has created excellent development in over the past few years in the field of medicine and healthcare. Healthcare is constantly undergoing changes, with new medical technologies, business models and research findings. The requirements for security and privacy are also very critical and very difficult to satisfy in case of Electronic Health Records (EHRs) data especially as compared to any other data. This is due to the conflicting needs of clinicians (who demand open and easy access to databases) and the patients (who prefer closed and private access to information stored in databases). The potential and capabilities of IT and its influence on the Indian healthcare is of utmost importance. Thus, this study examines the current status of security and privacy of various healthcare services/solutions implemented for electronic health records in India. This topic has not been sufficiently addressed by the existing healthcare solutions based on standards. The authors aim to bridge this gap by proposing a model to protect the security and privacy for Standardized Electronic Health Records EHRs database systems. A simulative analysis for the implementation of the proposed model has been presented. This will help in large scale deployment of secured Electronic Health Record systems that will benefit hospitals and their users.

Usability and information retrieval issues for electronic healthcare record databases

Standardized Electronic Healthcare Records (EHRs) data have a complex structure. They are based on dual model approach where domain knowledge is saved as an archetype [1, 2]. It is technically very difficult to generate query language for medical expert to retrieve the data. It gives rise to issue of retrieval and usability of electronic healthcare records databases. To improve the retrieval process, Graphical User Interface (GUI) must be simplified. Other issues related with electronic healthcare record systems are mobility, reachability and optimal use of advancements in information technology. This paper highlights the problems and issues of electronic healthcare record systems. It investigates the available graphical user interfaces for electronic healthcare record databases and compares their usability. Finally, it presents the comparison of a graphical user interface for a standardized Electronic healthcare records application for various handheld mobile devices.

Aspect Oriented Programming for Modularization of Concerns for Improving Interoperability in Healthcare Application

Service Oriented Architecture (SOA) is an ideal Web Services based solution for achieving efficient healthcare interoperability. However, incorporation of non-functional specifications such as logging, authorization, transaction etc. in web services based interoperable healthcare information system leads to code tangling (significant dependencies between system) and code scattering (code duplication) problems which reduces the revision and reuse of web services. Aspect Oriented Software Development is an emerging developing approach utilizing modularization to support rapid data interchange among various healthcare providers in a heterogeneous distributed environment. The visionary promise of Aspect Oriented Programming (AOP) is to increase overall quality of software design and implementation by decreasing the problems of code scattering and code tangling while maintaining high level of abstraction in enterprise application integration. The introduction of aspects substantially increases modularity and helps in achieving cleaner modularization of concerns. In this research we propose introduction of aspects in healthcare system and show how AOP helps in a cleaner design and substantial code savings in SOA based healthcare interoperability resulting in modularization of crosscutting concerns.