"Transforming Healthcare Data into Knowledge"
We help companies in the healthcare and pharmaceutical industry to make valuable data-driven decisions. Big Data | Artificial Intelligence | Real World Evidence | Data Driven / Innovation
Do you want to start basing all your decisions on valuable data?
Explore how Health OneClick is able to support companies in the complete management of their data and decision making based on quality data from RWD, as well as a team of specialists with expertise in data management at all stages. The integration of all components makes our platform a powerful RWE-based data analysis solution that will provide you with a holistic view.
Here are our 5 keys to achieving your goals:
Transforming real-world health data into knowledge is essential to improving health.
Today there is an avalanche of health information and data that can be leveraged to get an accurate picture of each patient’s needs. At Health OneClick, we have advanced technologies (AI/PLN, ML, DL) and a consolidated platform to manage, store, transform health data and visualize insights from RWD/RWE.
We integrate data from any source, allowing us to identify patterns and trends in clinical practice. This helps professionals make valuable decisions, improve patient care, strengthen privacy protection and increase efficiency.
The life cycle value of patient data
- PHASE 1: Collect and organize the new data
- PHASE 2: Perform data processing and subsequent data analysis
- PHASE 3: Anonymize sensitive data
- PHASE 4: Use data to make intelligent decisions and predictions
- PHASE 5: Monitor results and follow up the patient
¿Por qué convertirse en una organización “Data Driven”?
We are all aware of the importance of anonymizing sensitive patient data, as well as the need to obtain valuable healthcare data to improve the quality of healthcare services. However, it is essential to emphasize the value of people, existing skills and adaptation to the digital transformation of any organization.
The first step is to understand data, its value and importance and treat it as such, involving the entire organization. Effective data management requires not only trained staff, but also a solid technological infrastructure. In order to start working with healthcare data securely and efficiently, it must first be anonymized (based on the General Data Protection Regulation) so that patient information is never exposed.
Digital training is very important in a Data Driven environment. We must teach patients to be responsible for the quality of their own data, as this will provide more information about their condition, being able to monitor it. At the same time, it is equally important to train healthcare professionals, so that they learn to operate with the new technologies, as well as to incorporate more technical professionals with greater knowledge of the new technologies.
Consolidating process management initiatives and standards is essential to move together towards a common goal. It is necessary to determine who is the decision-maker in the processes, as well as the roles and responsibilities of each employee. For governance to be successful, new ways of managing processes must be implemented on a daily basis and the organization must undergo a cultural change.
Data Science Solutions and Technologies for Health