DinamIT Informatika Kft. has successfully completed the GOP-1.2.1-09-2010-0018 identification number ‘LÉTLELET – Család a virtuális térben’ (‘LÉTLELET – Family in the virtual space’) research and development project.
Tax number: 22799571-2-19
Company registration number: 19-09-513045
Submission of the tender: 30/08/2010
Project size: 502,500,000. – HUF
EU Foundation: 245,245,000. – HUF (49,7%)
Own contribution: 257,255,000, – HUF
Address: 8230 Balatonfüred, Fürdő u. 17/B
The LÉTLELET is a portal website, based on the knowledge of doctors and healthcare professionals.
Its purpose is to familiarise and evangelise the scientific prevention as widely as possible.
In LÉTLELET the preventive healthcare is a conscious behaviour and often connected with lifestyle changing. This change could minimize the risk of developing or reoccurrence of certain disease groups.
Behind every statement, question or suggestion of LÉTLELET, there is a couple of scientific articles. This way, the users can be certain to get the latest knowledge which is most likely producing results. In healthcare, this method is called evidence-based medicine.
Internet is not available only on desktops and tablets, but also on mobile phones and smart TVs. LÉTLELET can be utilised during traveling, or relaxing at home.
The main steps of the usage of LÉTLELET:
- risk analysis,
- forming an action plan, which contains indications and contraindications to follow,
- the implementation of the action plan with the aid of LÉTLELET and its partner network.
During the risk analysis, LÉTLELET has a number of questions about lifestyle habits, diseases occurring in the family, and the medical history of the user. The medically correct risk analysis requires many questions to ask. For easier and faster handling, the issues are organized into groups, and answering a group leads to newer and newer partial results. The creators took every opportunity to make the long process of risk analysis as enjoyable as possible. For example, you can access LÉTLELET pages on a mobile phone and use time lags to answer a few questions. In case of medical history related questions (e.g. laboratory tests, diagnosed or treated diseases), the LÉTLELET could automatically download them from a hospital system – in case of proper authorisation.
Those who are more interested or have more time can get detailed information about the question of what it is for, what medical evidences are behind it, and what are the possible benefits / disadvantages depending on the answers. From these data, LÉTLELET creates knowledge testing games that allow participants to measure their awareness of a particular disease or risk factor.
The last step of risk analysis is the review of the factors that increase or decrease the risks, and the assembly of the medically correct indications and contraindications. From this an action plan is created, which includes the explanations too, and describes the actual status and gives advices for what to do and what to avoid decreasing the risks.
The parts of the action plan are often connected with lifestyle changes, creating new habits, getting rid of old ones which is not so easy to implement. The indications are mainly advices related to exercising, nutrition or stress-releasing. The experts of LÉTLELET created several supporting materials to implement these advices into the daily routine. For example, there are recipes in the nutrition module of the LÉTLELET. Those who need further encouraging can see some short films about the cooking lessons taken by our dietitians.
The portal allows to retrieve the previous personal results and compare them with the actual ones. Beyond the investigating of our personal data it allows to compare our actual health status with the average of the population, the average of the registered users, and with our targeted goals.
After following the action plan in case of a new risk assessment – staying on a higher level – LÉTLELET offers further opportunities to improve the healthy lifestyle, to apply the preventive thinking, and to minimise further the risk factors.