Mid Staffs installs i.CM for orders and results reporting

iSOFTClinical staff at Mid Staffordshire General Hospitals NHS Trust are now ordering tests and x-rays and getting results online with iSOFT's i.Clinical Manager (i.CM) application.

A two-month pilot project started this month on two wards at the Staffordshire General Hospital. Roll-out of i.CM to around 60 areas including wards, outpatient departments and clinics at the Staffordshire General and Cannock Chase Hospitals is scheduled to begin in September. i.CM allows doctors, nurses and other clinical staff to order pathology tests and radiology examinations online and get the results quickly.

Once this phase is completed, the trust and iSOFT will begin implementing other i.CM modules for care pathways and multi-disciplinary records.

David Haycox, the trust's head of Information Management and Technology, said: "The improved efficiency in ordering and receiving results electronically will help to improve the care to patients by speeding up the process for diagnosis and treatment.

As nursing and medical staff become familiar with the technology, it will ultimately mean patients benefiting from shorter stays in hospital."

He says that staff are finding the system is easy to use and report that the process of requesting tests and x-rays and receiving the results is much faster and efficient.

Mid Staffordshire is a long-standing iSOFT customer and uses a number of its applications including i.Patient Manager for patient administration and its Ormis theatres management system.

The contract with iSOFT pre-dates the National Programme for IT, so Mid Staffordshire remains outside the programme.

Related news articles:

About iSOFT
iSOFT is one of the world's leading suppliers of advanced software applications for the healthcare sector. With its next-generation product - LORENZO - iSOFT is at the forefront of the technology revolution taking place in healthcare. The company has extensive international experience and reach, with a strong presence in Europe and the Asia Pacific region. Its products are used by more than 8,000 organisations in 27 countries for managing patient information and driving improvements in healthcare services. iSOFT focuses on developing innovative application solutions and has over 1,300 technology specialists engaged in software design, development and solution delivery. Further information: http://www.isoftplc.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...

Personalized Breast Cancer Prevention No…

A new telemedicine service for personalised breast cancer prevention has launched at preventcancer.co.uk. It allows women aged 30 to 75 across the UK to understand their risk of developing breast...

New App may Help Caregivers of People Ge…

A new study by investigators from Mass General Brigham showed that a new app they created can help improve the quality of life for caregivers of patients undergoing bone marrow...

An App to Detect Heart Attacks and Strok…

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests. The ECHAS app (Emergency...

A Machine Learning Tool for Diagnosing, …

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer and healthy people. The analysis...

Fine-Tuned LLMs Boost Error Detection in…

A type of artificial intelligence (AI) called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study published in Radiology, a journal of...

DeepSeek-R1 Offers Promising Potential t…

A joint research team from The Hong Kong University of Science and Technology and The Hong Kong University of Science and Technology (Guangzhou) has published a perspective article in MedComm...

Deep Learning can Predict Lung Cancer Ri…

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference...