The Cloud-Enabled Architecture of the Clinical Data Repository in Poland

In this article, the authors, using information-systems modeling techniques, and considering current national legal regulations, present the cloud-enabled architecture of a clinical data repository. The patient’s medical record is an important carrier of information necessary for accurate diagnosis and selection of the correct treatment process. Therefore, it is not surprising that since the beginning of the development of computer technologies, databases have been built to enable the management of a patient’s medical records. These systems were most-often deployed locally at individual healthcare units, which carried certain limitations both in terms of the security and availability of the stored information, and the possibility of exchanging it with other clinics. However, recent developments in the standardization of medical information exchange in Poland, together with the revolution in cloud computing, have opened up completely new perspectives for clinical-data-repository implementations helping to make them far more sustainable. Although, the practical aspects of implementing clinical-documentation repositories are studied both in forums of European countries and also around the world; so far, no similar research was conducted with respect to Poland. This study tries to fill that gap by proposing a flexible multi-variant cloud-enabled architecture of the system providing the services of a clinical-data repository. The goal of the work was to propose such a system architecture that allows having a system that is either cloud-agnostic, that uses specifically selected cloud services, or that is even deployable locally. Thanks to the use of cloud computing services, the implemented system is characterized by high availability, scalability, and the possibility of exchanging data between medical institutions, which enables the improvement in the quality of medical processes for the whole Polish population.

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Benefits and Challenges for Business Process Management in the Cloud

International Journal of Organizational and Collective Intelligence ◽

10.4018/ijoci.2015040104 ◽

2015 ◽

Vol 5 (2) ◽

pp. 80-104 ◽

Cited By ~ 1

Author(s):

Ute Riemann

Keyword(s):

Cloud Computing ◽

Business Process ◽

Information Exchange ◽

Business Process Management ◽

Process Management ◽

Business Models ◽

Business Processes ◽

Cloud Services ◽

Cloud Infrastructure ◽

Business Application

Business processes are not only variable they are as well dynamic. A key benefit of Business Process Management (BPM) is the ability to adjust business processes accordingly in response to changing market requirements. In parallel to BPM, enterprise cloud computing technology has emerged to provide a more cost effective solution to businesses and services while making use of inexpensive computing solutions, which combines pervasive, internet, and virtualization technologies (). Despite the slow start, the business benefits of cloud computing are as such that the transition of BPM to the cloud is now underway. Cloud services refer to the operation of a virtualized, automated, and service-oriented IT landscape allowing the flexible provision and usage-based invoicing of resources, services, and applications via a network or the internet. The generic term “X-as-a-Service” summarize the business models delivering almost everything as a service. BPM in the cloud is often regarded as a SaaS application. More recently, BPM is being regarded as a PaaS as it facilitates the creation and deployment of applications, in this case business process solutions. The PaaS landscape is the least developed of the four cloud based software delivery models previously discussed. PaaS vendors, such as IBM, Oracle, and Microsoft delivered an application platform with managed cloud infrastructure services however, more recently the PaaS market has begun to evolve to include other middleware capabilities including process management. BPM PaaS is the delivery of BPM technology as a service via a cloud service provider. For the classification as a PaaS a BPM suite requires the following capabilities: the architecture should be multi-tenant, hosting should be off premise and it should offer elasticity and metering by use capabilities. When we refer to BPM in the cloud, what we are really referring to is a combination of BPM PaaS and BPaaS (Business Process as a Service). Business Process as a Service (BPaaS) is a set of pre-defined business processes that allows the execution of customized business processes in the cloud. BPaaS is a complete pre-integrated BPM platform hosted in the cloud and delivered as a service, for the development and execution of general-purpose business process application. Although such a service harbors an economic potential there are remaining questions: Can an individual and company-specific business process supported by a standardized cloud solution, or should we protect process creativity and competitive differentiation by allowing the company to design the processes individually and solely support basic data flows and structures? Does it make sense to take a software solution “out of the box” that handles both data and process in a cloud environment, or would this hinder the creativity of business (process) development leading to a lower quality of processes and consequently to a decrease in the competitive positioning of a company? How to manage the inherent compliance and security topic. Within a completely integrated business application system, all required security aspects can be implemented as a safeguarding with just enough money. Within the cloud, however, advanced standards and identity prove is required to monitor and measure information exchange across the federation. Thereby there seems to be no need for developing new protocols, but a standardized way to collect and evaluate the collected information.

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The Clinical Data Repository: A Challenge to Medical Student Education

Journal of the American Medical Informatics Association ◽

10.1197/jamia.m2483 ◽

2007 ◽

Vol 14 (6) ◽

pp. 697-699 ◽

Cited By ~ 5

Author(s):

M. Altman

Keyword(s):

Medical Student ◽

Clinical Data ◽

Medical Student Education ◽

Data Repository ◽

Student Education ◽

Clinical Data Repository

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A frequency-filtering strategy of obtaining PHI-free sentences from clinical data repository

Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics - BCB '15 ◽

10.1145/2808719.2808752 ◽

2015 ◽

Cited By ~ 5

Author(s):

Dingcheng Li ◽

Majid Rastegar-Mojarad ◽

Ravikumar Komandur Elayavilli ◽

Yanshan Wang ◽

Saeed Mehrabi ◽

...

Keyword(s):

Clinical Data ◽

Data Repository ◽

Frequency Filtering ◽

Clinical Data Repository

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An enhanced algorithm for scheduling dependent tasks in cloud computing environment

Journal of Computer Science and Its Application ◽

10.4314/jcsia.v27i2.1 ◽

2021 ◽

Vol 27 (2) ◽

Author(s):

H. Hamza ◽

A.F.D Kana ◽

M.Y. Tanko ◽

S. Aliyu

Keyword(s):

Cloud Computing ◽

Turnaround Time ◽

Cloud Services ◽

Computing Environment ◽

Computing Services ◽

Average Improvement ◽

Cloud Computing Services ◽

User Tasks ◽

Search Approach ◽

Dependent Tasks

Cloud computing is a model that aims to deliver a reliable, customizable and scalable computing environment for end-users. Cloud computing is one of the most widely used technologies embraced by sectors and academia, offering a versatile and effective way to store and retrieve documents. The performance and efficiency of cloud computing services always depend upon the performance of the execution of user tasks submitted to the cloud system. Scheduling of user tasks plays a significant role in improving the performance of cloud services. Accordingly, many dependent task scheduling algorithms have been proposed to improve the performance of cloud services and resource utilization; however, most of the techniques for determining which task should be scheduled next are inefficient. This research provided an enhanced algorithm for scheduling dependent tasks in cloud that aims at improving the overall performance of the system. The Dependent tasks were represented as a directed acyclic graph (DAG) and the number of dependent tasks and their total running time were used as a heuristic for determining which path should be explored first. Best first search approach based on the defined heuristic was used to traverse the graph to determine which task should be scheduled next. The results of the simulation using WorkflowSim toolkit showed an average improvement of 18% and 19% on waiting time and turnaround time were achieved respectively.

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A Resource Allocation Model for Desktop Clouds

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Delivery and Adoption of Cloud Computing Services in Contemporary Organizations ◽

10.4018/978-1-4666-8210-8.ch008 ◽

2015 ◽

pp. 199-218 ◽

Cited By ~ 1

Author(s):

Abdulelah Alwabel ◽

Robert John Walters ◽

Gary B. Wills

Keyword(s):

Resource Allocation ◽

Cloud Computing ◽

Cloud Services ◽

New Paradigm ◽

Allocation Mechanism ◽

Desktop Grids ◽

Allocation Model ◽

Resource Allocation Model ◽

Computing Services ◽

New Type

Cloud computing is a new paradigm that promises to move IT a step further towards utility computing, in which computing services are delivered as a utility service. Traditionally, Cloud employs dedicated resources located in one or more data centres in order to provide services to clients. Desktop Cloud computing is a new type of Cloud computing that aims at providing Cloud capabilities at low or no cost. Desktop Clouds harness non dedicated and idle resources in order to provide Cloud services. However, the nature of such resources can be problematic because they are prone to failure at any time without prior notice. This research focuses on the resource allocation mechanism in Desktop Clouds.The contributions of this chapter are threefold. Firstly, it defines and explains Desktop Clouds by comparing them with both Traditional Clouds and Desktop Grids. Secondly, the paper discusses various research issues in Desktop Clouds. Thirdly, it proposes a resource allocation model that is able to handle node failures.

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Emerging Cloud Computing Services

International Journal of Organizational and Collective Intelligence ◽

10.4018/ijoci.2016100105 ◽

2016 ◽

Vol 6 (4) ◽

pp. 98-102

Author(s):

Yulin Yao

Keyword(s):

Cloud Computing ◽

Mobile Services ◽

Cloud Services ◽

Software As A Service ◽

Current Status ◽

Computing Services ◽

The Future ◽

Cloud Computing Services ◽

Future Direction ◽

Positive Impacts

Cloud Computing has offered many services to organizations and individuals. The emerging types of services such as analytics, mobile services and emerging software as a service have been offered but there is a lack of analysis on the current status. Core technologies for emerging Cloud services have been identified and presented. This brief opinion paper provides an overview of the current emerging Cloud services and explains the benefits for several disciplines. Four areas have been identified that may bring in more positive impacts for the future direction.

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