Columna VitalShare is designed to collect, store, distribute and display clinical data from a wide range of different medical devices and equipment to improve patient safety and create an easier, safer basis for the decisions that clinicians must make.





Growing volume of health data from medical devices presents challenges

In the healthcare sector, large volumes of patient health data are generated every day. For patients being monitored with medical devices, this involves a lot of high-frequency data in particular. Often, only a fraction of the measured health data is registered and saved, which means that a lot of knowledge and large volumes of measured data are lost. At the same time, collecting data manually is a time-consuming process, given all the steps there are and the potential for human error stemming from incorrect readings, incorrect writing down or incorrect keyboard entries in the electronic health records. 


Columna VitalShare supports an easy and secure collection, storage and distribution of patient health data

Studies show that when clinics are supported by automated data-collection of measurement data from medical devices, the error rate is reduced from 18% to 0%. Furthermore, there is a clear reduction in the time that elapses from measurement to when the measurement data becomes available to clinicians via the patient’s electronic health record[1]. In addition, there is the benefit of not needing to spend as much time on registration procedures, as well as the advantage of having higher quality measurement data, which is more readily available in the patient’s electronic health record. 


[1] CIN: Computers, Informatics, Nursing & Vol. 31, No. 9, 422–427
















91% of nurses report that if they could spend less time dealing with devices, they would spend more hands-on time with their patients

Source: "Missed Connections: A Nurses Survey on Interoperability and Improved Patient Care", 526 nurses surveyed January, 2015, commissioned by West Health Institute.





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Connects medical devices and patient

In order to collect, store and distribute data from medical devices to the clinicians, the medical device is connected to Columna VitalShare wirelessly or if the equipment is older via a DeviceEscort cable.

When the patient is connected to Columna VitalShare, it is possible to sent the patient data to Columna VitalShare for strage and distribution to any data consuming application such as the electronic health record. Connecting the patient to Columna Vitalshare may be supported by a nurse scanning the patient’s armband/barcode and the relevant device's ID. 




Easy and illustrative display of data

Once the measurement data has been collected by Columna VitalShare, the clinical staff can easily access it via the Viewer app. The Viewer is a user-friendly and easy-to-use app for the clinicians and supports them in being able to efficiently and securely have an overview of the patient data that has been collected. And eventually to make a clinical vertification of the data.

With the app, the clinic can easily search for measurement data for a patient according to a viewer profile. A viewer profile is a pre-defined display of data viewed in selected graphs and colours, which is filtered according to the selected types of measurement data and medical devices. Based on a viewer profile, a clinician can easily change the time interval, e.g. per minute or per hour, and filter on or add different types of measurement data within the various graph types.

This supports and optimises the clinical use, visualisation and validation of health data which is collected using medical devices, which in turn strengthens the basis for the right and most effective treatment and patient pathway. 

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Archiving data for research and analysis

All the data collected by Columna VitalShare is saved in a Vendor Neutral Archive (VNA), which means there is always easy access to high-quality data through open standardised interfaces. 

Providing easy access to a huge set of structured data opens up for whole new dimensions and completely new possibilities for researchers. Researchers are able to analyse and use data in research projects where data was previously difficult or even impossible to collect and access.




"I have seen many instances where numbers were incorrectly transcribed or put in reverse or put in the wrong column when typed manually, which can cause errors."

- Registrered nurse in "Missed Connections: A Nurses Survey on Interoperability and Improved Patient Care", 526 nurses surveyed January, 2015, commissioned by West Health Institute.





Contact Henrik Rasmussen for more information or a demo