In the late 1990’s, several new methodologies began to gain acceptance in the software development community. These methodologies emphasised close collaboration between the development teams and business stakeholders; frequent delivery of business value, tight, self-organising teams; and smart ways to write, test, and deliver code.
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.
Here is a list of 7 TED talks you have to watch about behaviour, data analytics, predictive analytics, data visualization, big data, insights, open data, international aid and open source government.
On June 10, 2019, the Government Digital Service, also known as GDS, unveiled a policy paper titled "The Government technology Innovation Strategy". Split into 3 sections; people, process, data and technology.
"The current wave of advances in artificial intelligence doesn’t actually bring us intelligence but instead a critical component of intelligence:- prediction."
It's hard to go a day without hearing the word 'data'. We rely on data on a daily basis in all industries; media, education, technology, retail etc. We are all getting excited about the possibility of what data can do. We know the buzzwords; Analytics, Big Data, Data Visualisation and Data Science! But at the root of these buzzwords is the need for visible, authoritative, consistent data that we can rely on to gain insights to support missions and goals.
Imagine the possibility of preventing a fatal offence. This happens more commonly than the public are aware of, all thanks to technology. One example of crime prevention- in 2015, a teenager in England was taken into care after it was revealed he had been researching gun types and nearby school locations to possibly carry out a school shooting. Authorities were able to intervene as the teenager had been flagged as a vulnerable threat.
