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1. Business Intelligence for Healthcare Industry What isBusiness Intelligence? Business intelligence (BI) is a term that refers to the process of compiling, analyzing and transforming data into insight to that can be used to improve business decisions. The goal of business intelligence is to help businesses make more informed decisions by providing them with data-driven insights. BI tools and techniques can be used to identify trends, uncover opportunities and optimize business processes. BI can be used to track and monitor performance, customer behavior, and other key metrics. When used effectively, business intelligence can give organizations a competitive advantage.

2. Leveraging Business Intelligence for Healthcare Management Usage of business tools in healthcare is sweeping the industry in: Improvising Patient care. Reducing costs. Increasing the revenue of the healthcare provider. the organization. The entire industry is becoming data-driven and a lot of decisions are made based on insights derived from them. Data starts from the creation of the BI is no longer a choice or demand for this industry. It is a need that nurtures survival in the healthcare industry. How does Healthcare Industry Utilize Business Intelligence (BI) The data sources with which health professionals can provide insights keep growing. This data is normally coming in different formats and sizes, which presents a challenge to the user. Sources of big data in healthcare Genetic Databases Research Studies EHRs Patient Portals Public Records Big Data in Healthcare Search Engines Govt. Agencies Wearable Devices Payer Records Mobile Phones

3. Healthcare Data Challenges Complex, many-to-many Relationships Security Complex set and Subset Analysis Data Quality A lack of Technology & focus on Business Systems Retroactive Data Changes The Challenges of Business Intelligence in Healthcare Lack of proper resources Availability of Funds Shifting towards an altogether new technology requires initial funding. BI Requires complex systems like servers, fast computing devices, etc. which may not be available ? Lack of knowledge among the staff members Complexity of IT Equipment Fetching the data from varied machines needs specialization and can be a hurdle for the use of BI in Healthcare Industries. Users need to be trained about the usage of the technology so they can pass information to the decision-makers to make effective decisions.

4. Benefits of Using Access More Data Provide Better Patient Care Types of BI Data Analytics in Healthcare The role of business Intelligence for healthcare is to separate information from the noise and extract insights There are four main types of healthcare Business Intelligence. Descriptive analytics Discovery Analytics Uses historical data to analyze trends and help understand what happened in the past. Analyzes raw, incoming data to identify patterns and outliers. BI in Data Analytics Healthcare Prescriptive analytics Analyze data from multiple sources & suggest a course of action with Machine learning Predictive analytics Modeling techniques to forecast what will happen in the future How Business Intelligence can Improve Healthcare • Reclaim your healthcare data. • Boost revenue, improve patient care, and optimize your supply chain. • Use the power of business intelligence to transform your healthcare organization.

5. Why does Business Intelligence in Healthcare matter? EMPOWER BETTER DECISIONS IMPROVE QUALITY REDUCE COSTS Top

6. Healthcare Business Intelligence structure your data analytics plans. Healthcare business intelligence and data warehousing will help your business with: Data Organization Track clinical, operational and insurance data (patient history, supply inventory, vendor invoices, admissions data) Consolidating diagnostic information Improve patient safety by having access to all of the information when it is needed and in one place Increased Effectiveness Determine which treatments are cost effective and Trend Forecasting Discover new revenue opportunities Ensure Regulatory Compliance Be able to identify problem areas when it comes to compliance to nullify possible problems Cost Reduction Identify which admin costs can be downsized Enhanced Patient Care Decrease wait times by synchronizing resources Increased Security Protecting data from unauthorized access and data corruption throughout its lifecycle with data encryption, hashing, tokenization, and key management practices that protect data across all applications and platforms. Improve Resource Planning Including shift schedules, vacation and sick days