Agfa focuses on patient centric clinical workflow automation

AGFAGeneral centralized healthcare is evolving toward decentralized community care offering a new era of real patient-centered continuum of care. This trend requires collecting and offering information crossing the borders of medical specialties in a true Electronic Medical Record (EMR). This drives the acquisition and dissemination of information crossing the borders of geographically distributed care organizations. The mission is to collect real-time clinical and administrative data, as well as images along specific clinical paths to enhance the quality of care while reducing costs.

Depending on a specific patient's care episode, the mission is also to have the patient 'flow' through the appropriate clinical path as efficiently as possible with high quality results. Clinical pathways are now dynamic in that they trigger multiple clinical interventions per individual care episode. Today's healthcare environment requires an intelligent solution that can explicitly enable the implicit clinical knowledge through process automation to ease the management of what can now be called dynamic clinical pathways.

Agfa HealthCare delivers this clinical path opportunity through its ORBIS(TM) solution in over 750 institutions across Europe with more than 450,000 daily users. Backed by the modular approach of the software architecture, implementation is at the pace of the customer and can be balanced in view of both short and long term efficiency impact; supported by intuitive human interface design, ORBIS is non-disruptive for the users. Strengthened by Agfa's proven reputation in connectivity, ORBIS can integrate with legacy information systems and disparate departmental systems.

Globally deploying solutions, Agfa HealthCare demonstrates the strength and flexibility of ORBIS by delivering a unified single platform along the customer's individual path to a fully integrated EMR. Agfa HealthCare's vision of an integrated EMR includes:

  • Clinical Paths - In healthcare facilities many clinical and operational paths exist - paths that need to be maintained and streamlined if the institution is to advance and provide high levels of patient care. This requires automation throughout the ancillary clinical disciplines such as Radiology, Pharmacy, Laboratory, Therapy Services, Nursing Management and Critical Care. Additionally, with over 80 separate modules, specialized solutions within ORBIS can address Surgery Suite Management, Critical Care Unit management, Skilled Nursing, Home Health, Workflow, Logistics, Dietary, Finance and more. Agfa HealthCare has created, based on its years of experience and listening to its customers, a comprehensive vision for a hospital's enterprise-wide IT systems via patient-centric Clinical Paths.
  • Enterprise Clinical Portal - Agfa HealthCare's Enterprise Clinical Portal simplifies physician and nurse access through a unified view to relevant patient information, relieving the clinical care team of the need to manage multiple log-on IDs and passwords across various patient information databases. The Enterprise Clinical Portal also incorporates user authentication, authorization and audit control options to address security requirements, and streamlines workflow when integrated with a clinical information system.
  • Enterprise Scheduling - Agfa HealthCare understands how important a facility's relationship with the patient is and how essential it is to be efficient. Anything that can be done to help minimize the procedural aspects of healthcare ultimately benefits the patient and the healthcare provider. With our Enterprise Scheduling, staff can schedule appointments with ease. The reduction in training time and the process workflow optimization benefits it offers, can help foster better patient relationships.
  • Clinical Data Center - Agfa HealthCare's Clinical Data Center (CDC) is a real-time database of structured and unstructured data collected from disparate clinical sources. It enables management of large data volumes (beyond terabytes to petabytes) to satisfy permanently growing archives long term while allowing to fully take advantage of existing disparate legacy enterprise systems. Agfa's CDC offers the unparalleled capability to leverage clients' current Clinical Informatic solutions by providing a single ubiquitous view of all clinically relevant data, results, assessments and images across the patient's continuum of care.

About Agfa
The Agfa-Gevaert Group is one of the world's leading imaging and information technology companies. Agfa develops, manufactures and markets analogue and digital systems for the printing industry (Agfa Graphics), the healthcare sector (Agfa HealthCare) and film related products and specific industrial applications (Agfa Materials). Agfa's headquarters are in Mortsel, Belgium. The company is present in 40 countries and has agents in another 100 countries throughout the world. The Agfa-Gevaert Group achieved a turnover of 3,308 million Euro in 2005.

Agfa HealthCare supplies hospitals and other healthcare centers with state-of-the-art systems for the capturing, processing and managing of diagnostic images and with IT solutions that integrate information and imaging workflows into the overall hospital operations across departmental disciplines. Agfa HealthCare is a leader in the fast growing market of IT systems that span the entire healthcare enterprise and through which healthcare facilities become more efficient and effective.

For more info on Agfa please visit: www.agfa.com

Most Popular Now

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...