BI

Introduction

intorduction

In many organisations, the IT manager's top

priority is to handle the increasing amounts

of dataproduced internally and externally and

make the data available to analysts and decision

makers at all levels of the organisation

Why Does Healthcare Needs Business Intelligence?

1. Improving patient care

Healthcare is increasingly dependent on digital technology to support the operations of a functioning healthcare system. Hospitals and other healthcare organizations need an environment that supports the daily practices of physicians, administration, and all other healthcare personnel.

Business Intelligence for healthcare is critical to managing the massive amounts of both structured and unstructured data that healthcare institutions deal with daily.

2. Allocating expenses better

For healthcare organizations to address operational, financial, patient care, and clinical practices most effectively, they must implement business intelligence platforms that allow them to make the most of their analytical capabilities and address core challenges within the industry.

Utilizing a BI software is part of the growth process for the healthcare industry, and will enable hospitals and other organizations to establish best practices across all elements of care and management.

3. Supporting and improving decision-making

Healthcare organizations need the support of a BI software to navigate the complexities of healthcare governance. Additionally, advanced analytical capabilities are necessary to solving key challenges and connecting patient, clinical, and operational data. BI software allow administrators to track Key Performance Indicators (KPIs) that analyze, manage, and help healthcare organizations adapt their performance based on accurate data and analytics-based insights.

example illustrates how organizational memory captured in data warehouse helps pro-vide accurate data. Business intelligence systems

have several advantages, yet these systems are only effective if they have accurate data. In healthcare, data is obtained from a variety of sources, including patients, hospitals and physicians. Business intelligence tools are then

able to leverage data obtained from these structured and unstructured

resources to produce information of value. Data serves as the foundation for business intelligence, it is therefore essential to enhance the quality of data before embarking on business intelligence solutions. In fact, data quality is consid-ered to be the most important technical factor for successful business intelligence, which ampli-fies the need for using data with strong integrity

example

applications, infrastructure, tools and best practices that enable access to and analysis of information to improve

and optimise decisions and performance. Obtaining BI success is complex, and this complexity carries a cost. The investment in BI technologies is expensive,

because the implementation includes : infrastructure, software, licenses, training and wages

IS Success Model

BI is an

umbrella term

that includes

The IS Success Model consists of six constructs, including Information Quality, System Quality, Use, User Satisfaction,

Individual Impact and Organisational Impact. An IS system is characterised by Information Quality and System

The system is operated by users, who can have different levels of satisfaction and can have individual impacts.

Health Plan Analytics

Health Plan Analytics

This use-case will support Healthcare

Payers to analyze the effectiveness of their

health programs (e.g. ROI and Performance

Analysis of Disease Management Programs

covering morbidity clustering). As in the

previous use-case, potential customers

could be also Healthcare Payers and Health

Insurances.

How Big Data Impacts Healthcare

How Big Data Impacts Healthcare

The speed of the challenges in the healthcare

industry continue to grow. But the evolution

in computing technology needs effective

personalized medicine and specific

treatments according to patients

Many benefits of Big Data

Many benefits of Big Data

Business executives from the healthcare

agencies highlighted the benefits of big data.

The question is "what is driving the push for

big data?" The response is quite simple: the

demand to create more value in healthcare

conclusion

conclusion

In conclusion is time for change in

Healthcare sector. The use of analytics will

enable putting the right data at the fingertips

of the people with the potential to generate

lifesaving or lifestyle improving insights. Big

data offers breakthrough possibilities for new

research and discoveries, better patient care,

and greater efficiency in health and health