Anaeko Blog

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.

At Anaeko, our core business has been built around our ability to access a pool of talented professionals who either work from their home offices or work as part of smaller teams in different geographical locations.  We have a proven track record in effectively managing these teams within a remote agile team framework.  

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).

Cloud technology is evolving rapidly as the technical capabilities of providers like IBM and its partners grow to meet needs of the next generation of business.  At Anaeko, we’re proud to play a significant role in IBM’s cloud story.

As teams worldwide are fully immersed in remote working it is important to focus on team collaboration and business continuity. Stand-Ups are one of the most common Agile techniques to ensure delivery of sprints, communicate team members contributions or blockers, and contribute to team cohesion.

Introduction

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. 

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.