Data Analytics Tools and Platform

The last development in the IoT related field in conjunction with the lowering of the costs of the consumer electronics have led to an uncontrolled growth in the number of devices, technology systems and software applications able to transfer and receive data.
Level of global parameters physical activity and can tell a lot about the behavioral status of a person as well as the evolutions in the follow-up of an orthopedic surgery or a drug related therapy or the evolution of a disease.

To correctly track these parameters, the information about daily abits, gait and movement should be collected as much unobtrusively as possible in order to not interfere in the quality of the parameters observed. Also, the observation of these parameters in a free-living context enables to describe the user activity as lifelike as possible.
Ab.Acus has developed Monitoring Suites that collects, processes and formats the data coming from varied sources such as wearable sensors, smartphone embedded sensors, wristbands, smartwatches, environmental sensors and any other type of connected devices.

The entire development process of our products is based on a human-centered design philosophy aimed at encountering our customers’ needs which are translated into a tailored features and tools. No prior technical knowledge is required to fully exploit the potentialities of our products. We make sure your data management is compliant with all relevant regulations, such as ICH-GCP and GDPR.

Dashboard

Ab.Acus dashboard is a flexible, fully customizable and web-based platform that enables clinicians and researchers to easily and safely manage their data.  Thanks to the expertise of our engineers, every customer may build their own personalized dashboard exploiting the potentialities given by the modular architecture of our platform.

With the Ab.Acus dashboard you can:

  • Easily and safely manage your patient database
  • Manage user roles ensuring the highest level of privacy
  • Create workgroups to manage multicentric applications
  • Visualize the stats about your data
  • Print personalized reports

The Ab.Acus dashboard offers healthcare professionals and researchers the information they need to follow up their patients’ evolution, adherence to medication, cognitive and physical status, etc.

The most innovative data visualization techniques will help you to easily read big amount of data and to have an always updated view of your datasets status at a glance.

The entire development process of our products is based on a human-centered design philosophy aimed at encountering our customers’ needs which are translated into a tailored features and tools integrated in our dashboard.

No prior technical knowledge is required to fully exploit the potentialities of our dashboard, all you need is a web browser.

We make sure your data management is compliant with all relevant regulations, such as ICH-GCP and GDPR.

Learn more about Quantify My Phone, our integrated system for behavioral analysis, to fully explore the potentialities of our dashboard integrated in a more complex system.

Multisensor Data Manager

The last development in the IoT related field in conjunction with the lowering of the costs of the consumer electronics have led to an uncontrolled growth in the number of devices, technology systems and software applications able to transfer and receive data. This change has impacted also the healthcare and pharmaceutical related systems which should daily face with the variability of devices, standards and flows of data.

Ab.Acus provides a Multisensor Data Manager which collects, processes and formats the data coming from varied sources such as wearable sensors, smartphone embedded sensors, wristbands, smartwatches, environmental sensors and any other type of connected devices.

Our architecture uses the smartphone as a remote and portable gateway which is directly interfaced with the cloud through dedicated APIs. Thanks to our platform every kind of sensor can be embedded in a more integrated system where heterogenous data and sources can be mixed together to extract new knowledge through data-fusion approach.

The collection of data coming from different sources and sensors allows researchers, CRO and clinicians to make comprehensive evaluation aimed at monitoring patients during follow-up or managing clinical trials that requires big amount of data to be collected and processed.

Data Processing

Inferring new knowledge from data is at the core of Ab.Acus’ mission. Recent improvements in artificial intelligence and machine learning techniques opened up to a widespread and systematic use of data in defining new research and innovation path in healthcare.

Ab.Acus provides a data processing tool that exploits the last findings in machine learning and artificial intelligence to extract and manage high quality and reusable data. The data processing engine can be easily integrated in more complex data management systems or in combination with our dashboard for the visualization and management of the processing flow and inputs.

With the data processing tool you can:

  • Extract new features from collected data
  • Perform statistical analysis
  • Fuse together data coming from different sources
  • Read every kind of data format and convert it in standardized format
  • Apply machine learning technique to your dataset
  • Manage baseline or training datasets for supervised ML

Our data processing tool is optimized and It doesn’t need heavy computational requirements or dedicated high performance server. The outputs calculated through this tool can be stored in dedicated databases, proprietary formatted files or directly shared with other components using our proprietary APIs.

All your data will be managed safely and in accordance to the most relevant regulatory constraints such as GCP and Medical Device Regulation.