In The Healthcare Industry, The Power To Collect, Assess,

The Database Management System of a healthcare organization is an application to perform administrative tasks on a database and interacts with the data stored in the databases. Years ago information was managed by a hands-on method such as files in the file cabinet. Now, databases are utilized by technology to drive and manage information. These “databases are an organized collection of data typically stored in an electronic format. Databases allow input, manage, organize, and retrieve data quickly” (Cornell, and Morris, 2015). Then Technology takes the data collected and transforms it into information which becomes knowledge to the users. The purpose of the study is to examine the use of the database system in nursing and to determine the benefits and challenges of the healthcare organization to use database systems and data.

In order to properly utilize big data, health care organizations are upgrading their IT and software systems. Health Information Systems (HIS) are becoming more advanced with value-added services and functionality. In fact, some health care organizations have massive amounts of unstructured data, but no viable means of converting the data into meaningful information. Fortunately, there are software programs and third-party companies who can successfully extract the data for migration or conversion purposes.

Health care informatics delivers a promising future for the health care industry. Big data analytics, computer aided decision support, and systems integration will provide health care organizations with new tactics to treat patients while controlling cost. “Widespread use of health IT within the health care industry will improve the quality of health care, prevent medical errors, reduce health care costs, increase administrative efficiencies, decrease paperwork, and expand access to affordable health care” (U.S. Department of Health & Human Services, 2014). While health care informatics is at the forefront of medicine, the resources necessary to supply and manage qualified staff must not be overlooked. Patient care requires able-bodied

Healthcare quality, safety and efficiency have become an economic and national concern. It has been an area of interest for providers to understand the role of technology to ensure healthcare quality and control cost. One of the rapidly growing fields with the focus on medical and health data is business and clinical intelligence tools and techniques. Healthcare organizations collect huge volumes of data

Health management information systems (HMIS) encompass an area of practice and knowledge that ensures that healthcare information is available to enable synchronized and instantaneous delivery. It also entails vital health-oriented decision-making for a variety of purposes across varied organizations, disciplines and settings. Additionally, it centers on the management of resources to gather, sore, manage, retrieve, construe and disseminate health information that is concerned with research, medico-legal issues, and patient care. The provision, evaluation and planning of healthcare is also involved in HMIS.

The results of data analytics may be used to identify areas of key risk, fraud, errors or misuse; improve business efficiencies; verify process effectiveness; and influence business decisions. The success of data analytics cannot be achieved if it isn’t aligned to the company’s business objectives, if risk is not properly managed, or the overall process is not planned, designed, implemented, tested and governed effectively. When implementing data analytics, organizational leaders must consider how they can maximize ROI, how it complies with project budgets, how they can manage false positives, and how to ensure the protection and confidentiality of their data sources and results. The process of securing high-quality data can become overwhelming, costly and time consuming. Another issue that makes data analytics time consuming is being able to find useful data, access it and understand how it affects your business. The healthcare industry is flooded with information from numerous sources. This information is spread among hospitals, primary care providers, researchers, health insurers, and state and federal governments, etc. This is where IT reliability and efficiency comes into play. Management and analysts need to be able to rely on the availability, accuracy, accessibility,

How much will organizations spend on business intelligence (BI) in 2016? According to Gartner, organizations are projected to spend almost $16.9 billion in 2016. That is an increase of 5.2% over 2015 sales . Business Intelligence plays a big role in today’s business, it now used in every part of the organization from supply chain to human resources (www.gartner.com). This paper will compare two business intelligence software tools. First, I will define business intelligence (BI). Then, I will examine the features of each of the BI tools. Next, I will discuss the pros and cons of each software. This paper will focus on the capabilities and costs for each BI software. Lastly, this paper will indicates which choice was made and an explanation of that choice.

Many massive, successful companies ' sole purpose is to create user-friendly BI tools. For example, SAP, PeopleSoft, and JD Edwards are all powerful intelligence systems. These systems can help users with nearly any aspect of a company.

The potential benefits of business intelligence programs include accelerating and improving decision making; optimizing internal business processes; increasing operational efficiency; driving new revenues; and gaining competitive advantages over business rivals. BI systems can also help companies identify market trends and spot business problems that need to

Business intelligence (BI) is a technology-based procedure for analysing data and giving decision based information to help corporate executives, business managers and other end users make more informed business decisions. BI comprises a variety of tools, applications and methodologies that enable organizations to collect data from different sources such as internal systems and external sources, prepare it for analysis, develop and run queries against the data, and create reports, analytic dashboards and data visualizations to make the analytical results available to corporate decision makers as well as operational workers. Simply put, Business Intelligence is technology process that assists in the conversion of raw data into meaningful information. It helps you analyse the past and come up with the strategy to improve the future. When organizations carry out their day- to -day operation, raw data is generated and mostly stored in a database .This data needs to be analysed and meaningful information extracted from it. Based on this output, come up with future strategy that will grow the company. Making future decisions directly from raw data is impossible as a result there is need for the data to be converted into meaningful data. Management makes use of this information to take fact based decision that will result to a better future. The data used for Business Intelligence analysis comes from OLTP (Online transaction processing).These are daily transaction that takes place

All great organizations share one thing in common, the use of business intelligence. Business intelligence (BI) provides tools that revolutionize the way organizations manage business and decision-making. It allows them to transform mass amounts of raw data into reliable information necessary to make important business decisions. BI delivers relevant and reliable information to those who seek it with the goal of achieving better decisions faster. An employee is independently able to navigate through a company’s data and find what he or she needs without relying on others. This means an organization no longer needs to dig through compiled webs of linked spreadsheets, analyze the data manually and mash together reports. Instead, employees can use BI systems to request the specific information that is useful for them (Hitachi Solutions Canada, 2014). BI allows managers to reach the most accurate and contemporaneous information an organization’s database cannot retrieve. The software offers applications for both data analysis and presentation of results. Applications such as data mining and decision support systems allow one to contemplate how he or she wants to analyze the data. Data mining refers to the process of searching for valuable business information in a large database, data warehouse, or data mart. Decision support systems combine models and data in an attempt to analyze semi structured and some unstructured problems with

There are considerable of business intelligence applications in real world that are composed by the four basic elements of business intelligence to access the data [6] .see Figure above. The system of Humana Resource Management uses also business the tools ofintelligence tools. Using business intelligence for human resource management, it predicts which workers are likely to perform well; it predicts which workers are likely to get their leave, recruiting intelligently based on performance records, based on organization, turnover prediction, staff demographics.The aim of this project is precisely to work on that issue, trying to understand how HR managers can bring administrators to participate and collaborate in a BI architecture[26]. The

Traditionally, business intelligence (BI) has been used as an umbrella term to describe the concepts and methods to improve business decision making by using fact-based decision support systems. BI also includes the underlying architectures, tools, databases, applications, and methodologies. BI’s major objectives are to enable interactive and easy access to diverse data, enable manipulation and transformation of these data, and provide business managers and analysts the ability to conduct appropriate analyses and perform the actions [Turban et al. 2008; Wixom et al. 2011]. Successful BI initiatives have been reported for major industries, from healthcare and airlines, to major IT and telecommunication firms [Anderson-Lehman et al. 2004; Carte et al. 2005; Turban et al. 2008].

Business intelligence solutions are very significant to an enterprise performance and capabilities at all levels. They help the business to be more efficient, identify new business opportunities and spot areas of cost savings. Timely access to relevant information has been a hindrance to many business successes. The management is always necessitated to base its decision on the full range of information available but the business always has a huge amount of data (IBM, 2014). Due to the current escalating competition that is eroding the business loyal customers, they are required to install

Business intelligence (BI) is presently broadly utilised, especially in the world of practice, to describe analytic applications. BI is a process that includes two primary activities: getting data in and getting data out. Getting data in, traditionally referred to as data warehousing, includes moving information from a set of source frameworks into a coordinated data warehouse. Getting data in delivers limited value to an enterprise; only when users and