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DataChief is an agile and easy to use artificial intelligence and machine learning service for social and health care professionals. (The service is simple to use and it contains a workflow component with which the user can graphically create AI-processes from loading data in order to provide AI-based Data-as-as-Service).
The service contains state-of-the-art level tools for data preparation, data analytics, AI-models and machine learning for healthcare organisations. Professionals can use the service to do data analytics, predictive analytics and AI/ML models based on their own data.
DataChief’s purpose is to offer an easy and fast way to utilise analytics, artificial intelligence and machine learning. Using it does not require a long background in coding or statistics.
Easy utilisation of customers’ own data
Fast data preparation for AI-models
Rapid AI-process implementation
AvainLog is an AI-as-a-Service for monitoring the usage of health and social care data and alerting of misuse. The service supports social and health care organisation's information security responsibles’ and other professionals’ work.
The service alerts organisations and data protection officers of data security issues and monitors GDPR-regulations compliance from the citizen’s point of view. AvainLog is based on an artificial intelligence model produced by machine learning that creates an assessment on the possibility of misuse for every log event.
With the help of the AI service artificial intelligence can comb through millions of log events to produce a manually controllable amount of alerts for the data protection responsible. As an example of this the amount of handled alerts dropped from 2 million to 10 000 alerts.
The service improves supervision of GDPR-regulations
AvainLog improves data protection of personal healthcare data
The service creates cost savings due to more effective data security processes and increased data protection levels
Saves 30 % of data protection costs
Distances to hospitals can be long and with a sick child they feel even longer. ChildScreen service is designed to provide the possibility for parents to do an evaluation on the child’s condition at home without necessarily needing to go to the hospital, with increased safety due to data transfer to child health experts.
ChildScreen on-line remote assessment service for acute childhood illnesses is based on results from standardised questions answered by parents and an AI-model aiding in decision making whether the child needs to come to the hospital ER or not.
At the ER-side, health-care staff can prepare for the arrival with data of the child’s symptoms and estimated travel time, allowing also for scheduling arrivals to fit the level of urgency and to help in flattening rush peaks. Also, the caregiver can be contacted for safety and further assessment when there is no arrival despite alarming symptoms.
Children and youth deal with many different parties in the social and healthcare sector. Therefore the information concerning them is scattered in different systems. Their problems could go unnoticed because no one party has a comprehensive understanding of the child’s life situation.
The Custody AI-as-a-Service solution will enhance operative work by gathering large amounts of data (on the child and their close family) from different databases, it can form profiles for the problem cases and it can recognise risk factors related to the problems as well as alert the personnel working with the children by producing a forecast on the risk of the child ending up in urgent placement or in custody.
The AI service will help the child to receive help before the problems form, it will reduce the need for expensive and heavy corrective measures and it will enable better targeted services for the child’s life management.
An example of a custody case saving the professional’s time:
A doctor has a 20 minute consultation time. Today he spent 2-7 minutes searching for relevant patient information. AI provides real time accurate information, saving 4-5 minutes per patient. With 10 patients a day, AI aid increases capacity to 12 patients.
The service improves the quality of life of children and families
It saves costs since the custody processes are very expensive
It improves co-operation between health and social care organisations
Due to the scatteredness of social and healthcare it can be difficult to form a comprehensive picture on the wellbeing of a patient. Due to this, the patients themselves might have difficulties seeking out right services and at the right time.
Because it is difficult to determine the correct services, patients might end up using a lot of unnecessary services without getting a solution to their core problem.
This AI-as-a-Service for Mental health and substance abuse problems will save time and resources of social and healthcare workers, reduce the amount of unnecessary mental health and substance ER visits and help the patient to get the right service at the right time as well as the quality of treatment itself by supporting the healthcare professionals decision making with risk features and a predictive model prediction for repeat visits.
The service improves people’s life especially during epidemics as well as afterwards
It saves costs since hospital treatments can be avoided
Rehabilitation services can be scattered and ineffective. Valuable rehabilitation time of the patient and the social and healthcare services can be wasted with incorrect and ineffective treatment. With the help of RehabScreen, an AI-as-a-Service solution, rehabilitation services can be targeted in a timely and effective manner.
RehabScreen assists in creating a rehabilitation plan and assessing performance of rehabilitation procedures.The service helps to decrease the scatteredness of rehabilitation services and it can be used to produce information on the different phases of the rehabilitation process for basic healthcare, social services and special care.
RehabScreen gives more information on the patient’s current status, need for rehabilitation and functional ability. It helps to create a prediction of the success of rehabilitation procedures and it gives an idea of the significance of different rehabilitation categories.
The service supports the decision making of professionals and it helps to identify problems in the rehabilitation process at an early stage. It can also speed up understanding the patient’s situation as a whole and it can improve the whole rehabilitation process.
The service improves quality of life of people to be rehabilitated
Saves costs since the rehabilitation is targeted and done based on special needs
Reduces readmissions to the hospital
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