iMDsoft Introduces Innovations in e-obs Including Smart Alerts for Sepsis and AKI Detection

iMDsoftiMDsoft® announced that they will be featuring new and advanced tools for detecting patient deterioration at Patient Safety Congress in Manchester, 5 - 6 July 2016. MetaVision SafeTrack™, their mobile electronic observation solution, offers advanced options for early identification of patients at risk for lethal conditions.

MetaVision SafeTrack provides smart alerts for sepsis and AKI, based on NICE guidelines, which prompt clinicians to take action. Tools for screening and assessments make it easier to check for conditions such as venous thromboembolism (VTE) and calculate scores such as MUST and GCS. Hospitals can create additional alerts or screening forms for any condition they define.

There are 150,000 cases of sepsis in the UK annually, resulting in 44,000 deaths - more than bowel, breast and prostate cancer combined, according to the UK Sepsis Trust. Studies show that early treatment of sepsis, severe sepsis and septic shock with fluid resuscitation and antibiotics can improve patient outcomes. However, in order to maximise the benefits of these treatments, it is essential that sepsis be identified as early as possible. MetaVision SafeTrack incorporates data from multiple sources and sends notifications when relevant. For example, patients with fever and an elevated white blood count are flagged as being at risk for sepsis. The care team is prompted to enter more information about the patient's status and to follow up accordingly.

It is estimated that up to 100,000 deaths in secondary care are associated with acute kidney injury (AKI), and that 1/4 to 1/3 of these deaths could potentially be prevented. MetaVision SafeTrack helps with early identification of AKI. It sends notifications when there are changes in patient condition, i.e. when a patient's serum creatinine level is fifty percent higher than it was the previous week.

In addition, MetaVision SafeTrack offers all the advantages of a mobile electronic observation solution, ensuring faster intervention for patients in need. It helps nurses document vital signs and observations at the bedside, calculates early warning scores and provides options for immediate escalations to caregivers. Nurses work more effectively and can prioritise care with tools for task management and shift handover. The system processes all of the information that is collected to generate reports that help improve hospital performance.

MetaVision SafeTrack is currently being implemented at University Hospital Southampton (UHS). "What MetaVision SafeTrack offers us is the ability to have accurate observations. It takes out human error. Taking away the human factor improves accuracy, which means patients are managed much more effectively and safely, and it increases the speed of escalation," said Helen Neary, Divisional Head of Nursing and Professions at UHS.

"Patient safety has driven our work since we began in 1999. We are pleased to add new sophisticated decision support tools to our mobile e-obs application," said Lars-Oluf Nielsen, CEO of iMDsoft. "These innovations were designed to help hospitals meet their goals of early and effective detection of lethal conditions such as sepsis and better prioritisation of care."

About iMDsoft
iMDsoft is a leading provider of Clinical Information Systems for critical, perioperative, and acute care environments. The company's flagship family of solutions, the MetaVision Suite, was first implemented in 1999. Hospitals and health networks worldwide use MetaVision to improve care quality and enhance financial results. The system promotes compliance with protocols and best practices, streamlines reporting and supports clinical research.

Most Popular Now

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...

Shape-Changing Device Helps Visually Imp…

Researchers from Imperial College London, working with the company MakeSense Technology and the charity Bravo Victor, have developed a shape-changing device called Shape that helps people with visual impairment navigate...