Our spin-off for business planning and simulation with Jedox.
Migros Bank migrated its existing business intelligence solutions to Qlik, Informatec ensured the smooth migration of existing applications and implemented further applications in the product and sales areas.
ARIS insurance uses Qlik to keep track of the asset portfolio and claims.
Learn more about the potential of Automated Machine Learning and Artificial Intelligence (AI) in the healthcare sector.
WEBINAR ON-DEMAND - Predictions about patient re-admissions
The healthcare sector is currently undergoing a major transformation. Of course, it is nothing new that increasingly high service quality is supposed to be offered at ever more competitive terms. However, in recent years ther has been another decisive factor that has the potential to bring about far-reaching improvements: artificial intelligence.
With the help of AI and machine learning, valuable insights can already be gained from the vast amounts of existing data in the healthcare system and more are being added every day. This has significant advantages in numerous fields. Precise predictive models enable service providers to improve their service quality and save costs, while achieving better results for patients.
Our BI expertise in the healthcare sector
Machine learning and artificial intelligence in general can contribute in a variety of ways to achieving a healthcare system that offers better services at lower prices: smart solutions can help with clinical, operational and financial decisions.
The frequency of many cost-driving events can already be reduced by using intelligent predictive models: the likelihood of a patient returning can be better predicted and prevented. The utilisation of the intensive care units and emergency departments can be predicted more precisely and resources can be planned accordingly. The risk of infection during hospitalisation can be calculated more precisely for each patient, which means that preventive measures can be initiated early on. Length of stay can be more precisely predicted as a cost-driving factor, which in turn leads to more flexible planning and lower costs
Areas that appear trivial at first glance but nevertheless significantly drive costs up can also be optimised. Thanks to machine learning, invoicing can be improved – a process that used to be extremely complex and depended on numerous factors. To this day up to 90% of invoices are consequently erroneous, with an average error of $1,300 contained in invoices of more than $10,000. Intelligent solutions not only lead to cost savings but also to greater patient satisfaction.
Artificial intelligence also helps predict a patient no-show. If a patient does not show up for treatment, this can be expensive not only for the service provider and the payer: In such cases, diseases and other patient complaints are often not treated, which can lead to an exacerbation of the condition at a later date. This in turn requires more elaborate and sophisticated treatment. Machine learning can help decision makers better predict which patients are most likely not to turn up. This allows them to intervene in a more targeted manner, to set new appointments and to engage the patients more actively. This could save up to $150 billion annually in the United States alone.
DataRobot Healthcare Infographic
Artificial intelligence also has the potential to make major breakthroughs in medical research and practice. Whether in diagnosing heart problems, the prognosis of liver diseases or in radiology: machine learning is likely to play a role in almost all areas of life in the future. Health care is still in the early stages of its data-driven transformation and the possibilities seem endless. Thanks to intelligent systems, enormous costs can already be saved, service quality optimised and patient results improved.
With Informatec and our preferred AI solution DataRobot, your company is also well prepared for the future with artificial intelligence. The platform brings together the knowledge, experience and best practices of world leading data scientists, offering an unparallelled level of automation, precision, transparency and collaboration in order assist you in building an AI-controlled organisation.
AutoML (Automated Machine Learning) is a technology invented by DataRobot to automate many of the tasks required to develop artificial intelligence (AI) and machine learning applications. DataRobot combines the knowledge and experience of some of the world's leading data scientists and enables more users in an organization to succeed with machine learning by simply using their understanding of their data and business and letting DataRobot do the rest.
Automatisation and Democratisation of AI and ML
DataRobot provides an easy-to-use visual interface suitable for business users and experienced data scientists. Simply select the target variable and click the start button to get the data models that are relevant to you.