iMDsoft Helps OLVG Hospital in the Netherlands Provide Groundbreaking Tele-Intensive Care

iMDsoftUsing iMDsoft®'s Clinical Information System, MetaVision®, Onze Lieve Vrouwe Gasthuis (OLVG) hospital in Amsterdam now provides 24/7 tele-intensivist monitoring for intensive care patients at MC Zuiderzee in Lelystad. OLVG intends to offer tele-intensivist services to additional regional hospitals in the near future.

While full-time, dedicated intensivist care in the ICU has been proven to improve outcomes and save lives, small hospitals are often not able to provide these vital services. MetaVision enables OLVG, a level 3 hospital, to provide intensivist care around the clock to MC Zuiderzee, a level 1 hospital, expanding their intensivist coverage to include evenings and weekends. An intensivist at OLVG uses a series of monitors with audiovisual feeds to instruct the MC Zuiderzee team and survey treatment while the ICU staff at MC Zuiderzee performs the medical procedures.

Transferring a critically ill patient is a high-risk, time-consuming procedure. An OLVG intensivist is now involved at every stage of treatment for MC Zuiderzee's ICU patients, often eliminating the need for potentially dangerous patient transfers.

OLVG's solution is built on MetaVision, which is installed in both hospitals, enabling clinicians from OLVG to log in and view patient data from MC Zuiderzee. MetaVision automatically creates a complete electronic patient record, and offers powerful tools for decision support, clinical assessment, treatment, and care planning.

Tele-monitoring has already been used successfully for years, with proven positive outcomes regarding efficiency and cost-saving. The implementation of MetaVision at the tele-intensivist program at Lehigh Valley Hospital and Health Network (Pennsylvania, USA) resulted in improved mortality rates and length of stay in the ICU, decreased patient complications, decreased time to treat and increased workflow efficiency, and improved staff and family satisfaction.(1)

According to Dr. Peter van der Voort of OLVG, "Tele-monitoring is so effective that the intensivist of the OLVG seems to be physically present at the ICU of MC Zuiderzee. Thanks to state-of-the-art technology and high-resolution feeds, we command all the essential data and means to assess and treat patients in real time, including when a critical situation threatens to arise."

"It is very exciting be a part of the first tele-monitoring implementation in Europe," said Phyllis Gotlib, CEO, iMDsoft. "We are looking forward to introducing our tele-intensivist solutions elsewhere in the continent."

About iMDsoft
iMDsoft is a leading provider of Clinical Information Systems (CIS) for perioperative, critical, and acute care. The company's flagship family of solutions, the MetaVision Suite, was first implemented in 1999. It has since become a market leader, with implementations in a wide range of ICUs, ORs, and general wards. iMDsoft products demonstrate a 100% customer retention rate and 100% implementation success rate. Major medical centers across the US, Europe, Asia, and Australia use iMDsoft's technology to improve care quality, promote patient safety, enhance financial performance, support research and compliance, and achieve sustainable market leadership. To learn more, visit www.imd-soft.com.

1. Rabert AS and Mary SC. The Future Is Now: Implementation of a Tele-Intensivist Program. Journal of Nursing Administration 36(1): 49-54.

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...