A smart city is "An urban area using different types of data and sensors to provide information, with the goal of efficiently managing assets and resources." (DisruptorDaily)
When we talk about hybrid cloud we're talking about firstly organisations that are using both on-premise private cloud and public cloud offerings and secondly have applications that move between them.
Clean Air for Healthcare
A use case had been identified were Anaeko could provide informative dashboards in order to determine and understand the relationship between air quality and health conditions.
There is a wealth of data within healthcare industries from patient, research or physician data and there is no doubt that harnessing this data will lead to new technologies, innovation and improved patient care.
55% of the population live in urban environments and these environments play an essential role in human health and wellbeing. Air pollution contains air particulate matter, PM2.5, that can stay in the air for long periods of time and be inhaled deep into the lungs. Pollution within urban areas can have an affect on asthma sufferers and "Around two thirds of people with asthma tell us poor air quality makes their asthma worse, putting them at risk of an asthma attack." (www.asthma.org.uk).
There has been growing momentum in self-management care and organisations supporting patients with long-term conditions to manage their own health. Patients can take an active role in maintaining their wellbeing and with wearable technology advancing data is becoming available to patients and healthcare service providers.
Data analytics within healthcare has the potential to transform patient care and the health sector in many ways. The analysis of data can help gain insights and support decision-making by collecting data from a variety of areas like medical costs, clinical data, patient behaviour and pharmaceuticals. Because healthcare data is so complex and can be difficult to process there are some barriers but here are 4 benefits and a look at some examples of how data analytics is being used.
The healthcare industry produces and gathers a huge amount of data and this data has the potential to be used in predictive analytics modelling to help improve and forecast the demand on healthcare services. There are many ways in which predictive analytics could be used. Some companies are looking at forecasting hospital readmissions and others looking at predicting specific patient illnesses before they become serious.
Providers in the healthcare industry must take every precaution to ensure the data they are handling is protected with levels of data security and privacy.
Healthcare systems generate huge amounts of data and this opens the opportunity for data discovery, artificial intelligence and machine learning to provide insight, synchronise data between silos, optimise innovation, enhance decision making and increase efficiency of research.