Analyzing Business Information Systems in the Healthcare Industry

This report provides an overview of business information systems within the healthcare industry, focusing on the application of big data analytics and business intelligence. It identifies key information systems and software tools, such as data storage, data mining, Hadoop, and SAP Business Intelligence, and examines their usefulness in managing data, improving decision-making, and enhancing operational efficiency. The report also explores specific applications within healthcare, including electronic health records and risk assessment, comparing their effectiveness against traditional systems. It acknowledges potential risks related to data privacy and the impact of automation on employment, highlighting the complexities of implementing advanced technologies in the healthcare sector. This document is available on Desklib, a platform offering a range of study tools and solved assignments for students.

Running head: BUSINESS INFORMATION SYSTEMS
Business Information System
Name of the Student
Name of the University
Authors note

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Draft
Part A
The chosen industry is Healthcare industry which would benefit from big data analytics,
and business intelligence.
Part B
Big data analytics
 Information system- Data storage, Data mining, Data warehouse, In-memory analytics,
Predictive analysis and text mining
 Software tools- Hadoop, MapReduce, Pig, Hive, Hbase, Mahout and Jaql
 Usefulness- This information system and software tools are useful because it helps to
collect enormous data that are generated on daily basis through various sources and store
data (Raghupathi and Raghupathi 2014). The data can be managed efficiently and
effectively to be used for future operations. Some other benefits of information system
are communication, creation of new type of jobs. Information system can be considered
to be cost effective and it can also increase productivity in many cases.
Business intelligence
 Information system- Decision support system, Executive information system,
Management Information system, Geographic Information System, Online Analytical
Processing and Customer Relationship Management.
 Customer Relationship management- It refers to the practices and guidelines which is
followed by an organization while interacting with various customers(Ashrafi, Kelleher

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and Kuilboer 2014.). CRM mainly works for improving the experience of large number
of customers.
 Decision Support System – A decision support system is nothing but a computer based
information system which is used for decision making in an organization or a business. A
DSS is used by management and planning level for organizational data.
 Management Information system- Management information system provides business
owners to process and lastly interpret data. There are large of number of benefits for the
use of MIS in health sector like: better decision and it acts like integrated system.
 Software tools- SAP business Intelligence, Sisense, Looker, GoodData, Tableau, Domo
and Cife
 Usefulness- The information system and software tools are useful because it helps to
report, and analyze faster and accurately, helps in better decision making (Ashrafi,
Kelleher and Kuilboer 2014.). The other usefulness are improved data quality, employee
and customer satisfaction, operational efficiency, competitive advantage and revenues.
Part C
 Big data analytics- The applications of the software tools in healthcare industry is
electronic health records (Raghupathi and Raghupathi 2014). It can improve the
efficiency of a business, improvises patient service. It can also help in better
management of hospital.
 Business Intelligence- The applications of the software tools in healthcare industry are
risk assessment. Various kinds of types of system in hospital are patient administration
system, operating theater management system, booking management system,
appointment management system and lastly hospital costing system

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Part D
 The current software and tools used in Healthcare industry are traditional decision
making systems and expert systems (Manogaran et al. 2017).
 The electronic health record system are better than traditional decision system due to
more detailed analysis and outcome of result, however, there are risks related to privacy
and confidentiality of data in electronic health record.
 The risk assessment is better than expert system due to more planning and development
of risk analysis in case of disasters, however, there are risks related to it and they are time
consuming and complexity of risk assessment application.
 On comparing window cleaned by hand with cleaning it by robot can easily result in
increase of unemployment rate in hospital (Ashrafi, Kelleher and Kuilboer 2014.). With
the growth of robots, it can be easily seen that human labor is not required in factories,
manufacturing plants and lastly in hospital.
 Suppose a man working in hospital will lose his job after the implementation of robots.
We cannot compensate him as this thing is considered to one of the negative part of the
technology.


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References
Ashrafi, N., Kelleher, L. and Kuilboer, J.P., 2014. The impact of business intelligence on
healthcare delivery in the USA. Interdisciplinary Journal of Information, Knowledge, and
Management, 9, pp.117-130.
Manogaran, G., Thota, C., Lopez, D. and Sundarasekar, R., 2017. Big data security intelligence
for healthcare industry 4.0. In Cybersecurity for Industry 4.0 (pp. 103-126). Springer, Cham.
Raghupathi, W. and Raghupathi, V., 2014. Big data analytics in healthcare: promise and
potential. Health information science and systems, 2(1), p.3.