# How 5G Wireless (and Concomitant Technologies) Will Revolutionize Healthcare?
## 5 Case Study: Economic Benefits of 5G-Enabled Healthcare Solutions
### Economic Benefits with Big Data Analytics  
In the 5G orchestration, IoT will be the key part where billions of sensors pass or process a huge amount of data (including videos). The opportunity here is to use these big data to improve the quality of applications that will emerge in 5G. Artificial intelligence, big data analytics and self-managing systems will be used to incorporate these ideas in the 5G architecture. Big data analytics is playing important roles in every sector of the global economy. The global market for big data-related software, hardware and professional services like networking, data-centre computing, storage and information management is projected to reach $43.7 billion Euros by 2019 (10-times more than in 2010) [67]. Big data have been considered as an effective tool to reduce the required healthcare costs by reducing readmissions, eliminating adverse events and unnecessary tests [68]. Big data also proved a cost-effective solution for high-cost patients, triage and decompensation situations by optimizing treatments [69]. Following are some possibilities of economic benefits for which big data can effectively be used.  
* Tracking high-cost patients, reducing adverse events, lowering readmissions and treatment optimization [69]
* Reduction of healthcare expenditure by predictive modelling [70]
* Better earlier detection of medical conditions [71]
* Reduce the development costs for pharmaceutical companies [72]
* Lower costs through better patient interventions [68]
* Big data analytics could reduce the time required for research study by predicting the patients that would most likely comply with the studies [71]  
There are strong pieces of evidence that big data can significantly benefit national economies and their citizens. For example, the University of Michigan Health System has increased $200,000 in monthly savings in providing blood transfusions using big data analytics [73]. A report by IBM on data-driven healthcare described that the Rizzoli Orthopaedic Institute in Bologna, Italy, is improving care with reduced cost by using advanced analytics for hereditary bone diseases. They attained more efficient and cost-effective care with 30% reductions in annual hospitalizations and over a 60% decrease in the number of imaging tests [74]. Similarly, a U.S. healthcare alliance has a network of more than 2700 member health systems and hospitals, 400,000 physicians and 90,000 non-acutecare facilities. The Premier alliance has compiled a database of the information on one in four discharged hospital patients in the United States. The database provides the detailed information about the comparative clinical outcome measures, resource utilization and transaction-level cost data. Through Premier, the healthcare processes of more than 330 hospitals have been improved, more than 29,000 lives have been rescued and healthcare expenditures have been reduced by approximately $7 billion. Another report compiled by McKinsey & Company (New York, NY, USA) [75] found that the government administration of Europe can save $149 billion in operational efficiency improvements alone by using big data. They also estimated that the potential of data in the U.S. health sector could be $300 billion each year if the U.S could exploit big data effectively and creatively.