iCIMS and HLA Technology Assists Basque Hospitals in Recording and Translating Clinical Records

iCIMS and sister company HLA have joined forces with researchers at the University of the Basque Country and the Department of Health of the Basque government, Osakidetza, for a unique project. The aim is for Basque speaking doctors to write their clinical records in Basque and then have basic information such as clinical history and diagnosis automatically translated into Spanish.

iCIMS and HLA Technology Assists Basque Hospitals in Recording and Translating Clinical Records

iCIMS and HLA Technology Assists Basque Hospitals in Recording and Translating Clinical Records

Translation with quality and surety, guaranteed.

Professionals of the health field will be able to write the clinical history in Basque thanks to the application Donostiarena and the Basque version of SNOMED-CT. SNOMED-CT is the repository of an ontology that is the most used in the health sphere.
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iCIMS has contributed its clinical information systems software for the researchers to build Donostiarena, the system for storing the clinical records, and HLA has contributed its terminology server loaded with SNOMED CT in English, Basque and Spanish. The researchers are computational linguists from the IXA research group who have been developing language processing tools in Basque for 25 years. The Basque government has a long history of promoting the use of Basque in the professions. Donostiarena literally means “that which belongs to the city of San Sebastian”.

iCIMS Published in the Annals of Emergency Medicine

The iCIMS report, Efficiency Achievements From a User-Developed Real-Time Modifiable Clinical Information System, has just been published in the Annals of Emergency Medicine.

Study objective

This investigation was initiated after the introduction of a new information system into the Nepean Hospital Emergency Department. A retrospective study determined that the problems introduced by the new system led to reduced efficiency of the clinical staff, demonstrated by deterioration in the emergency department’s (ED’s) performance. This article is an investigation of methods to improve the design and implementation of clinical information systems for an ED by using a process of clinical team–led design and a technology built on a radically new philosophy denoted as emergent clinical information systems.

Methods

The specific objectives were to construct a system, the Nepean Emergency Department Information Management System (NEDIMS), using a combination of new design methods; determine whether it provided any reduction in time and click burden on the user in comparison to an enterprise proprietary system, Cerner FirstNet; and design and evaluate a model of the effect that any reduction had on patient throughput in the department.

Results

The methodology for conducting a direct comparison between the 2 systems used the 6 activity centers in the ED of clerking, triage, nursing assessments, fast track, acute care, and nurse unit manager. A quantitative study involved the 2 systems being measured for their efficiency on 17 tasks taken from the activity centers. A total of 332 task instances were measured for duration and number of mouse clicks in live usage on Cerner FirstNet and in reproduction of the same Cerner FirstNet work on NEDIMS as an off-line system. The results showed that NEDIMS is at least 41% more efficient than Cerner FirstNet (95% confidence interval 21.6% to 59.8%). In some cases, the NEDIMS tasks were remodeled to demonstrate the value of feedback to create improvements and the speed and economy of design revision in the emergent clinical information systems approach. The cost of the effort in remodeling the designs showed that the time spent on remodeling is recovered within a few days in time savings to clinicians. An analysis of the differences between Cerner FirstNet and NEDIMS for sequences of patient journeys showed an average difference of 127 seconds and 15.2 clicks. A simulation model of workflows for typical patient journeys for a normal daily attendance of 165 patients showed that NEDIMS saved 23.9 hours of staff time per day compared with Cerner FirstNet.

Conclusion

The results of this investigation show that information systems that are designed by a clinical team using a technology that enables real-time adaptation provides much greater efficiency for the ED. Staff consider that a point-and-click user interface constantly interrupts their train of thought in a way that does not happen when writing on paper. This is partially overcome by the reduction of cognitive load that arises from minimizing the number of clicks to complete a task in the context of global versus local workflow optimization.

DOI: http://dx.doi.org/10.1016/j.annemergmed.2014.05.032

A full report for the project can be downloaded from our Publications page.

iCIMS about to Be Published

We are about to have published our paper on ED-IMS in a leading international journal. This paper will reveal our next generation technology with 40% improved clinical efficiency and 30% reduction in cognitive load for clinical users. This technology enables staff to design their own systems and yet no programming is required to turn it into an operational CIS. At the interface level, staff can create designs exactly conformant to their local needs and change it at will as their environment changes. Yet at the server end, the iCIMS technology enables multiple clinical specialities to run off the one software installation, preventing the siloing of data and lowering the maintenance load on IT Services. Our systems are fully adaptable Best-of-Breed for the clinical users but underneath have enterprise wide software functionalities.

Coming Soon: Patient-Centred Tumour Stream Suite (PTSS)

In the next few weeks, we will be officially launching our product suite, Patient-Centred Tumour Stream Suite (PTSS). iCIMS’ PTSS is a portfolio of clinical care information systems designed to support any set of tumour streams, filling the gap of medical oncology systems for surgery, patient management, MDM, and concomitant research systems, data warehouses and registries. Our MDM system includes a dashboard that reads into all tumour streams and subspecialties systems.