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Clinical Workflow Automation

Clinical Workflow Automation

Clinical workflow automation represents a significant advancement in tackling various persistent issues faced in healthcare environments. These issues encompass the handling of voluminous paperwork, guaranteeing prompt patient care, minimizing human errors, and maximizing resource utilization. The implementation of automation brings unmatched efficiency and precision, revolutionizing how healthcare professionals confront these obstacles. By automating processes like patient scheduling, medication administration, and data entry, healthcare organizations can greatly improve their service delivery, resulting in enhanced patient satisfaction and better health outcomes.

Since 2013, Binetix, backed by of the European Innovation Development Fund, has successfully adapted and integrated the BioAGE platform for distributed aggregation, management, and full-text search of clinical and administrative data necessary for electronic health records (EHR) into clinical practices and laboratories.

Over the past decade, we have gained significant experience in the analysis and automation of clinical activities and have focused our professional services in the field of:

  • Cloud distribution for EHR and other clinical information management
  • Clinical workflow process improvements
  • Distributed grid computing for advanced medical imaging diagnostics and biometric processing, such as subtraction angiography, computed tomography, magnetic resonance imaging, positron emission tomography, and various isotope studies
Access to Health Records

Automation facilitates prompt access to electronic health records (EHRs), empowering healthcare professionals to make swift, informed decisions.

This quick access enhances the patient experience by ensuring that care is grounded in the latest and most complete information available.

Diagnostic Processes

The incorporation of artificial intelligence and machine learning into diagnostic procedures enhances the speed and precision of condition identification.

This improved efficiency alleviates patient anxiety by shortening the duration of waiting for diagnoses and the commencement of treatment strategies.

Preventive Care

By utilizing data analytics, automated systems can forecast potential health concerns before they escalate, facilitating proactive care strategies.

BINETIX's predictive analytics is a forward-thinking methodology that not only enhances patient outcomes but also increases satisfaction by emphasizing preventive measures rather than reactive responses.

Resource Allocation

BINETIX's BioAGE platform enhances the resource management through the automation of scheduling and resource distribution, healthcare organizations can guarantee the availability of necessary resources at critical times, leading to shorter wait times and an improved patient experience through more effective care delivery.

This improves also the communication among various care teams and with patients. BioAGE is capable of delivering timely updates and reminders regarding appointments, medications, and follow-up care, ensuring that patients remain well-informed throughout their healthcare experience.

Clinical Data

We are integrating new strategies into the automation of clinical workflows to enhance the efficiency and effectiveness of healthcare information and data delivery.

By strategically leveraging technology, healthcare providers can deliver care that is both high-quality and centered around the needs of patients, ensuring responsiveness to those they serve.

The idea put forth by Binetix offers an intriguing approach to connect vast quantities of unstructured electronic health record (EHR) data using semantic algorithms, thereby enabling effective biometric and epidemiological assessments.

Enhancements to the suggested cloud architecture could be achieved by implementing dynamic utilization of parallel processing across various network nodes executing these algorithms.

Dr. Sabutsch

HL7 Austria, Chair

BINEIX holds significant relevance for professionals in Biomedical Engineering and EHR automation, particularly in the areas of distributed cloud processing and the analysis of medical imaging techniques such as subtraction angiography, computed tomography, magnetic resonance imaging, positron emission tomography, and various isotope studies.

Prof. Dotsinski

BAS

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    • 1, Trinity Park, Bickenhill Lane, Birmingham, United Kingdom.
    • +44 800 3892348
    • info@binetix.eu