Data science in hospital management
Data science is spreading across all areas of human activity at an astonishing speed. More and more, everything around us is being datatized and offering us a new user experience.
Data in hospital management is part of this reality. It can make a big difference in the management of a hospital or clinic. With all its power unleashed, it has a very positive impact on patients, healthcare professionals and managers.
It's an ongoing story. But we already have a lot to tell about the use of data science in hospital management. That's what we'll see in the next topics.
Digital transformation in the healthcare sector
Since information technology entered medicine, we have experienced a revolution in medical treatments. Imaging tests, surgical equipment, autonomous machines and countless technological applications have helped save people's lives and improve their quality of life.
But we also have to talk about the udata usage as a trend towards improving patient experience and its impact on hospital management.
Many manual and repetitive processes are being replaced by automated ones, which are possible with the data generation in all routine hospital processes. They form an information base that supports decision-making, many of which are autonomous, based on the inference of artificial intelligence.
Therefore, it is increasingly common for data science to play a key role in healthcare companies. Thus, data in hospital management becomes the protagonist of very welcome changes to improve everyone's experience.
Where is the data in hospital management?
The routine of any human activity is a great source of data. This is because each event can turn into a data entry and be part of a repository of information that can be accessed and analyzed at any time.
Even better if it is in real time, with high processing capacity, for autonomous decision making. That's what artificial intelligences, for example. They access the data, process it, identify patterns and make corrections and optimizations when necessary.
Thus, they can be used for various purposes, such as:
· Smart check-in and facial recognition, controlling people's access and showing the most frequented areas of a hospital. With this data, rearrangements can be made to save energy in less visited areas and direct people to decongest others, for example.
· The use of telemetry can show the status of inpatient requests in real time, tracking them accurately to control SLAs for services in the nursing, hotel, hospitality, maintenance, nutrition and other sectors, for example.
· A bed communication can be optimized, improving the efficiency of the sectors that directly meet patient demands. The historicization of data also opens up the possibility of implementing improvements in services and predicting bed turnover.
They are multiple applications of data in hospital management. Quantitative and qualitative analyses can reveal hidden situations, both good and bad, and provide support for the manager to act with confidence and focus on specific situations.
Therefore, the power of data in hospital management cannot be wasted. It is necessary to create digital transformation projects and rely on technologies that change processes and promote a true revolution in services. HOOBOX, an Intel partner, has developed solutions for the patient and professional journey that effectively move the needle in hospitals with the use of data, whether for prediction or decision-making. And all of this comes mainly with the increase in KPIs such as NPS and truly advantageous cost effectiveness.
