Orion Health Participates in National Event for Reducing Acute Admissions

Orion HealthOrion Health, a leading provider of clinical workflow and integration technology for the healthcare sector, announced its participation in the National Event for Recurring Admission Patient Alerts (RAPA) being held at King's Mill Hospital in Mansfield, Nottinghamshire, on Thursday May 15th, 2008.

The Event involved attendees from around the NHS in England coming together to discuss ways to reduce unplanned acute admissions by patients who are frequent users of NHS services.

Patients with chronic conditions (such as congestive heart failure and diabetes) as well as cancer may become frequent users of acute services. The ability to better monitor the care of such individuals can result in fewer instances of exacerbation of their disease, and therefore reduce avoidable demand for acute services and bed days consumed.

The Event at King's Mill Hospital will focus on the skills, workflow and technologies required immediately to alert care teams to unplanned hospital attendances by these frequently admitted patients.

Themes to be covered during the Event include a demonstration of RAPA in action, the requirements to implement a RAPA process, as well as the benefits, challenges and recommendations for best practice.

Sherwood Forest Hospitals NHS Foundation Trust have implemented RAPA pathways using Orion Health software for three key clinical teams:

  • Community Matrons / Longterm Care Management
  • Heart Failure Team
  • Cancer Network

Using Orion Health's software, patients who frequently present to the hospital Accident and Emergency (A&E) can be enrolled into a Recurring Admission Patient Alert (RAPA) pathway. Once a patient is enrolled, the appropriate team of clinicians are automatically alerted whenever the patient registers at an A&E facility.

"NHS Trusts are continually focusing on ways to improve care to chronically ill patients," said Simon Philpott, UK and Ireland Director for Orion Health. 2We believe the RAPA concept gives care teams an effective tool that supports better practice and over time can reduce the number of hospital bed-days consumed by these patients."

Related news articles:

About Orion Health
Orion Health's easy-to-use solutions and applications improve patient care and clinical decision making by providing integrated health data in a single, unified view. By enhancing existing healthcare information systems, Orion Health’s Rhapsody integration engine, Concerto clinical portal, and workflow solutions provide healthcare workers with easy access to patient data and trends, and reduce errors and omissions by streamlining information transfer.

Worldwide, Orion Health is implementing health information communities involving over 35 million patients with tens of thousands of active users. Orion Health's partners include leading health system integrators and IT vendors such as Accenture, IBM, Oracle Corporation and others. Orion Health has more than 1,000 clients around the world, including University Hospitals of Leicester NHS Trust, the Ministry Of Health And Consumer Protection of the Balearic Islands (IB-Salut), the Ministry of Health of Valencia, and the U.S. Centers for Disease Control and Prevention (CDC). More information can be found at www.orionhealth.com.

Most Popular Now

Integrating Care Records is Good. Using …

Opinion Article by Dr Paul Deffley, Chief Medical Officer, Alcidion. A single patient record already exists in the NHS. Or at least, that’s a perception shared by many. A survey of...

Should AI Chatbots Replace Your Therapis…

The new study exposes the dangerous flaws in using artificial intelligence (AI) chatbots for mental health support. For the first time, the researchers evaluated these AI systems against clinical standards...

AI could Help Pathologists Match Cancer …

A new study by researchers at the Icahn School of Medicine at Mount Sinai, Memorial Sloan Kettering Cancer Center, and collaborators, suggests that artificial intelligence (AI) could significantly improve how...

AI Detects Early Signs of Osteoporosis f…

Investigators have developed an artificial intelligence-assisted diagnostic system that can estimate bone mineral density in both the lumbar spine and the femur of the upper leg, based on X-ray images...

AI Model Converts Hospital Records into …

UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into readable narratives, allowing artificial intelligence to make sense of complex patient histories...

AI Sharpens Pathologists' Interpret…

Pathologists' examinations of tissue samples from skin cancer tumours improved when they were assisted by an AI tool. The assessments became more consistent and patients' prognoses were described more accurately...

AI Tool Detects Surgical Site Infections…

A team of Mayo Clinic researchers has developed an artificial intelligence (AI) system that can detect surgical site infections (SSIs) with high accuracy from patient-submitted postoperative wound photos, potentially transforming...

Forging a Novel Therapeutic Path for Pat…

Rett syndrome is a devastating rare genetic childhood disorder primarily affecting girls. Merely 1 out of 10,000 girls are born with it and much fewer boys. It is caused by...

Mayo Clinic's AI Tool Identifies 9 …

Mayo Clinic researchers have developed a new artificial intelligence (AI) tool that helps clinicians identify brain activity patterns linked to nine types of dementia, including Alzheimer's disease, using a single...

AI Detects Fatty Liver Disease with Ches…

Fatty liver disease, caused by the accumulation of fat in the liver, is estimated to affect one in four people worldwide. If left untreated, it can lead to serious complications...

AI Matches Doctors in Mapping Lung Tumor…

In radiation therapy, precision can save lives. Oncologists must carefully map the size and location of a tumor before delivering high-dose radiation to destroy cancer cells while sparing healthy tissue...

Meet Your Digital Twin

Before an important meeting or when a big decision needs to be made, we often mentally run through various scenarios before settling on the best course of action. But when...