{"id":10057,"date":"2020-10-13T09:25:44","date_gmt":"2020-10-13T14:25:44","guid":{"rendered":"https:\/\/saluddigital.com\/?p=10057"},"modified":"2025-10-21T14:22:01","modified_gmt":"2025-10-21T20:22:01","slug":"perspectivas-de-la-ciencia-de-datos-para-disminuir-y-cerrar-brechas-en-salud","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/comunidades-conectadas\/perspectivas-de-la-ciencia-de-datos-para-disminuir-y-cerrar-brechas-en-salud\/","title":{"rendered":"Data Science perspectives to reduce and close gaps in health"},"content":{"rendered":"
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

PATH and Digital Square published the document A Health Data Science Exchange: Accelerating the appropriate use of data science to close the health equity gap, as part of their collaborative project to share diverse experiences within public health in different countries and contexts. <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Digital Square is an initiative dedicated to promoting Digital Health to provide greater access to high-quality health services. Countries constantly seek to improve their health systems and services through continuous efforts to find new tools for their development, such as Digital Health, data science, Artificial Intelligence and machine learning, among others. One of the Sustainable Development Goals within Health and Wellbeing includes achieving universal health coverage and access to medicines and vaccines.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

The digitization of health systems has strengthened them and also provides greater security and efficiency in decision making. For example, data science in health, the production of data and information on complex situations such as epidemiological surveillance, or the management of resources in hospitals have a great opportunity for improvement thanks to data science. \"As digital technologies become more sophisticated and become more deeply integrated into health systems, governments require data science tools and technical capacity to make full use of available data,\" the authors explain within the document.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

Currently data science, according to the document, has \"limited evidence and knowledge of what investments in data science generate impact, in part due to a lack of investment in applied research and research methods.\" In addition, the lack of globally accepted criteria to evaluate data science assets prevails, creating more barriers in the massive use of data science and the benefits it has according to the context of each country. But, without a doubt, one of the main challenges facing health data science is low visibility and scope, which makes it difficult for decision makers in countries to know the complete ecosystem of the data that is at their disposal.<\/p>

The document shows how data science can contribute to strengthening the health system:<\/p>