{"id":7692,"date":"2018-02-08T21:54:23","date_gmt":"2018-02-08T21:54:23","guid":{"rendered":"http:\/\/orionhealth.weareiceberg.co\/?p=1099"},"modified":"2023-03-09T00:46:25","modified_gmt":"2023-03-09T00:46:25","slug":"the-benefits-of-non-traditional-data-to-healthcare-socio-economic","status":"publish","type":"post","link":"https:\/\/orionhealth.com\/au\/blog\/the-benefits-of-non-traditional-data-to-healthcare-socio-economic\/","title":{"rendered":"The benefits of non-traditional data to healthcare: Socio-economic"},"content":{"rendered":"
However, these new sources of data could have a significant impact on healthcare helping to save lives, stress, and money. The third in a series of Orion Health blogs explores socio-economic data and its potential in healthcare.<\/p>\n\n\n\n
Socio-economic data is information produced by analysing social and economic variables. Examples of this data, which can provide insights on a person\u2019s health, can be found in everything from an individual\u2019s address to their taxes to their level of education.<\/p>\n\n\n\n
It is available, reliable, and proven as a solid source for analysis – thanks to the large number of industries that have experience working with the data. It\u2019s value to healthcare comes from the behavioural patterns it can reveal, which are largely unavailable with traditional data sets.<\/p>\n\n\n\n
Basic data, such as age and ethnicity, is a good foundation for drawing analysis but the addition of the socio-economic data-type can provide far greater insights into an individual\u2019s health. Collating all of this information will allow for better and more accurate healthcare. For example, if a clinician was to look at two physically equal people of the same age, gender and ethnicity with similar traditional health records, both with respiratory illnesses \u2013 then they\u2019d be inclined to treat them in the same way. However, if the clinician had access to another level of data they may be able to tell that one of the patients lived in poverty while the other was more affluent. This insight could have a significant impact on both the diagnosis and treatment.<\/p>\n\n\n\n
\u2018Negative\u2019 information – such as an individual\u2019s legal troubles, accidents, bankruptcies, and evictions – can indicate approaching problems such as financial strain. This strain often correlates with periods of high stress which can have significant health consequences and needs to be addressed. Socio-economic data could also help with the prediction of a number of other healthcare issues – which place significant strain on healthcare resources – such as medication adherence and readmissions.<\/p>\n\n\n\n