New version of CareXML Data migration solution announced

Stalis Ltd, leaders in the provision of information and data management solutions to the NHS and private healthcare organisations, announce a new release of their market leading CareXML® data migration, cleansing and reporting platform.

CareXML® is already established within NPfIT as the most advanced solution for extracting data from any legacy system, cleansing the data and migrating the data to the Care Record Service (CRS). In addition, with the limitations placed on Trusts regarding the amount of legacy data that can be moved to the CRS, CareXML® has been developed to provide the Data Repository for maintaining legacy data.

The new version of CareXML® introduces several new features all as a result of joint working with Stalis customers. These features are:

  • Integrated case note tracking. Supports and stores updates to patient case note locations for all non migrated data from the legacy system. Web based browser access to the patient case notes allows users access from anywhere in the hospital to amend and update historic case note locations
  • Report emailer to GP's for radiology reporting. Fully configurable to allow administrators to filter delivery of reports by GP surgery and/or GP. Electronic transmission of reports speeds the delivery of diagnostic reporting to the referring doctor.
  • Automated integration of patient records from disparate systems. Configuration capability allows any Trust to define the rules for matching and integrating records and identify the 'master' data set that will create the master patient record for demographics, birth and death records. All additional data is held within the archive as part of the supplementary patient details. The integration of patient records from different systems builds up an online patient record of all activity data for the patient, regardless of the system from which the data is derived.
  • Data profiler 'unlocks' access to the source data from legacy Mumps based systems, allowing Trust users to identify data quality discrepancies and anomalies and providing seamless access with no additional logon back to the source systems for updates and amendments. Trusts have estimated that this approach saves considerable man time when carrying out a data migration project.

In announcing this new release Christine Whitehouse, Managing Director said "CareXML® has been extensively proven across the NHS in both Acute and Primary care Trusts with whom we have worked collaboratively. This new release will ensure we maintain the lead for CareXML® and continue to fulfil our customer expectations for innovation"

About Stalis Ltd
The company was established over 20 years ago as a specialist NHS Consultancy organisation, staffed by former NHS Executives, Clinicians and Healthcare IM&T professionals to supply information solutions and support to a large number of healthcare organisations both in the public and private sector. With the advent of the National Programme for IT in Health in England, the business strategy was revised to focus on product based solutions to align with and support the emerging goals of supporting the modernisation of healthcare delivery. The company numbers among its long established clients – Moorfields Eye Hospital NHS Trust, The Oxford Radcliffe Hospitals NHS Trust, Capio Group, Sheffield Childrens' Hospital NHS Trust.

Stalis' vision today is to be the leading provider of 'End to End' Data and Resource Management solutions for the health industry to improve the quality of information available to health providers in support of their goals for more efficient management and provision of patient services and resources. To achieve this, Stalis provides an integrated platform comprising software products and related services. For further information, please visit www.stalis.com

Most Popular Now

Open Medical Works with Moray's Dig…

Open Medical is working with the Digital Health & Care Innovation Centre’s Rural Centre of Excellence on a referral management plan, as part of a research and development scheme to...

Generative AI on Track to Shape the Futu…

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient. In a new paper, Xia Ning, lead author of the study and...

AI could Help Improve Early Detection of…

A new study led by investigators at the UCLA Health Jonsson Comprehensive Cancer Center suggests that artificial intelligence (AI) could help detect interval breast cancers - those that develop between...

AI-Human Task-Sharing could Cut Mammogra…

The most effective way to harness the power of artificial intelligence (AI) when screening for breast cancer may be through collaboration with human radiologists - not by wholesale replacing them...

Reorganisation, Consolidation, and Cuts:…

NHS England has been downsized and abolished. Integrated care boards have been told to change function, consolidate, and deliver savings. Trusts are planning big cuts. The Highland Marketing advisory board...

Siemens Healthineers infection Control S…

Klinikum Region Hannover (KRH) has commissioned Siemens Healthineers to install infection control system (ICS) at the Klinikum Siloah hospital. The ICS aims to effectively tackle nosocomial infections and increase patient...

AI Tool Uses Face Photos to Estimate Bio…

Eyes may be the window to the soul, but a person's biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm...

Philips Future Health Index 2025 Report …

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today unveiled its 2025 Future Health Index U.S. report, "Building trust in healthcare AI," spotlighting the state of...

AI-Powered Precision: Unlocking the Futu…

A team of researchers from the Department of Diagnostic and Therapeutic Ultrasonography at the Tianjin Medical University Cancer Institute & Hospital, have published a review in Cancer Biology & Medicine...

AI Model Improves Delirium Prediction, L…

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium. The model identifies patients at high risk for delirium and...

Building Trust in Artificial Intelligenc…

A new review, published in the peer-reviewed journal AI in Precision Oncology, explores the multifaceted reasons behind the skepticism surrounding artificial intelligence (AI) technologies in healthcare and advocates for approaches...

SALSA: A New AI Tool for the Automated a…

Investigators of the Vall d'Hebron Institute of Oncology's (VHIO) Radiomics Group, led by Raquel Perez-Lopez, have developed SALSA (System for Automatic Liver tumor Segmentation And detection), a fully automated deep...