Healthcare professionals and data scientists working with big data technology continuously make ethical decisions but use ethics differently. They need to be aware of these differences.
By interviewing 160 stakeholders from different fields in 8 European countries the Erasmus University studied the ethical arguments. In this... Read more
Medical professionals often need to collaborate with different professionals such as lawyers, technicians, and ethicists to start data initiatives in healthcare organizations. Despite the relevant differences between such disciplines, some strategies can be used so that healthcare professionals and data scientists can recognize all the... Read more
The Erasmus University’s studied the uptake of big data technologies in healthcare within the BigMedilytics project. For this reason, interviews with external stakeholders on European, national, and healthcare organizational levels were held, as well as with the pilot project leaders and the twelve project teams.
Based on these data,... Read more
Data can be used to make more personalized predictions, smarter decisions and more effective interventions. As a result, the quality of care will be improved, lives will be saved and healthcare cost will be reduced.
Data scientists and healthcare professionals are inspired by the promises surrounding... Read more
Each healthcare innovation project involving big data is a journey for which we need to make preparations to achieve the project goals. One of these preparations consists of defining the business model.
A business model describes the rationale of how an organization creates, delivers, and captures... Read more
In terms of project outcomes, there is a clear expectation of what we intend to achieve that is frequently translated into key performance indicators, or KPIs, to measure and visualize in dashboards. And there is also a clear expectation regarding the process, defining milestones and... Read more