HS.HELIOS uses a very lightweight and transparent approach to directly collect data from the computer network infrastructure, present at each institution and has very small impact on the performance of existing systems and network communications. Since HS.HELIOS relies on its ability to directly analyse the network exchanged messages, there is no need to make any changes to the information systems involved in the exchange of messages. Its completely transparent and independent from the other software vendors.
In an eHealth context, HS.HELIOS acts as a system bus, and can be used to collect, interpret, route and audit HL7, DICOM or other more generic XML messages. These messages are collected and sent to an integrator responsible for analysing, processing, validating and record its relevant content in institutional controlled databases, before sending them to their final destination.
HS.HELIOS takes full advantage of the fact that many hospitals environments already use the HL7 standard to exchange and share medical information. Our solution is thus able to collect meaningful actionable metrics that can be very useful in terms of hospital and informatics management. HS.HELIOS dashboards are for example capable of directly presenting actionable business indicators and historic trends, such as: the HL7 messages frequency by origin and destination department and type of message, within a certain period of time. The result of the analysis on data quality and business processes is actioned by the HS.HELIOS monitoring system (based on
Nagios/iCinga) for which specific sensors have been developed. These can also be easily integrated with other existing alarmistic systems already present at the institution (ex. Zabbix). The system is very flexible and can be configured according to the client’s needs and is also capable of routing alarms by sending emails or SMS, in addition to the alarmistic directly configured and displayed at the system dashboard view.
As an example of the tool usefulness, one of the very simple but highly useful HS.HELIOS type of analysis indicators are based on the overall number of observed exchanged messages of a certain type. These indicators are presented and can be analysed in several different charts that compare, in almost real time, their current values with the expected value for each one of those parameters. The system maintains an extensive historic database of business indicators that is used to accurately predict in real time the expected values for those parameters at that particular point in time. These charts allow for a very quick assessment of the current state of overall message exchange within the entire Hospital, and can constitute a very accurate indicator of current overall business productivity. Associated to these values are rules that can trigger actionable alarms when those values do not fall within the predicted expected values for those type of messages. This normally constitutes a strong indication that something is wrong at that particular department within the Hospital and buys the system administrators time to act before the Hospital overall productivity is severely affected and health professionals start to complain about the systems not performing as they should.