Improving Emergency Care with Teleradiology
Best Practices in ER Radiology Utilizing Rology
Written by: Mohamed Hammam, Medical Liaison at Rology
Rapid, precise diagnosis and collaboration are critical for effective patient outcomes in emergency radiology (ER), especially in life-threatening and vital cases. For healthcare providers, teleradiology platforms like Rology offer a robust solution to address the challenges of emergency radiology (ER). This article explores best practices for handling critical cases and highlights how Rology’s teleradiology services can support these efforts.
Supporting Emergency Radiology Services with Remote Expertise
Dedicated emergency radiology units provide focused expertise in high-stakes situations, but resource limitations often prevent 24/7 coverage. Rology fills this gap by offering around-the-clock remote radiologist access, ensuring that even facilities without or with limited in-house specialists can access emergency radiology expertise. Using Rology, urgent and STAT scans are being matched with sub-specialized emergency radiologists to provide high-quality radiology reports in 30 minutes. This model aligns with European best practices, where emergency radiology sections have been shown to enhance collaboration and patient outcomes through continuous access to radiology expertise [1].
Artificial Intelligence & Transforming Emergency Radiology
Artificial intelligence (AI) is increasingly transforming emergency radiology by expediting diagnosis and workflow management, reducing the strain on radiologists. AI applications can prioritize and flag emergent cases with critical findings, streamlining from image acquisition to reporting [2-3]. Rology’s teleradiology platform enhances this capability by integrating Rology’s AI tools that help radiologists identify, prioritize, and communicate urgent cases like intracranial haemorrhages or bone fractures, reducing diagnosis and improving facility response times. This integration aids hospitals in managing workloads more efficiently, enabling Rology to alleviate radiologist burnout while supporting swift, accurate diagnosis.
Communication Protocols for Rapid Response
Effective and timely communication of critical findings is vital in emergency radiology. Rology enables automatic prioritization, and quick and direct transfer of critical findings, ensuring that critical results reach the emergency room staff without delay, essential for life-saving interventions. Protocols within Rology ensure all communication adheres to standardized practices, meeting or exceeding benchmarks of timely reporting within 60 minutes [4].
Reducing Medico-Legal Risks through Expert-Backed, Evidence-Based Practice
Emergency radiologists face legal and ethical challenges, especially with rare, high-risk conditions. Rology supports these professionals by ensuring quick access to expert second opinions and comprehensive diagnostic protocols that follow international guidelines. Rology’s network can provide a collaborative approach for complex or rare cases, facilitating second opinions to ensure diagnostic accuracy and mitigate legal risks. This level of support is particularly valuable in cases where over-imaging could lead to unnecessary patient harm or where rare conditions may be missed [5].
Enhancing Collaborative Culture and Communication with Seamless Connectivity
Effective collaboration between emergency physicians and radiologists is essential for patient safety and optimal care [6]. Rology’s platform provides a streamlined, user-friendly interface that supports real-time communication and documentation of critical cases, improving teamwork and shared awareness of the patient status through the Rology success team, which is available 24/7. Standardized handover tools and centralized access to case records ensure all parties are informed of the latest updates, facilitating coordinated decision-making.
Benefits to ER with Rology:
Rology’s teleradiology solution is designed to meet the most critical demands, ensuring rapid and accurate diagnoses when every second counts. ِAll come in addition to:
- Enhanced Workflow to Alleviate Burnout: For emergency radiologists facing high caseloads, Rology’s AI capabilities streamline workflow, reducing pressure and helping prevent burnout while maintaining high diagnostic standards.
- High Commitment to Diagnostic Quality: Rology’s commitment to quality is critical for emergency settings, where diagnostic accuracy can directly impact patient survival. With a 99.89% accuracy rate, Rology ensures that emergency departments receive dependable results that support high-quality patient care.
By focusing on these emergency-driven needs, Rology’s teleradiology solution provides an optimal combination of speed, accuracy, and reliability, enabling healthcare providers to deliver life-saving care in time-critical situations. In doing so, Rology sets a new standard in emergency radiology, providing healthcare facilities with the tools and support needed to optimize outcomes and ultimately save lives in critical, time-pressured scenarios.
References:
1- Scaglione, M., Basilico, R., pizzi, A., Iacobellis, F., Dick, E., Wirth, S., Linsenmaier, U., Çallı, C., Berger, F., Nieboer, K., Barrio, A., Dumba, M., Grassi, R., Katulska, K., Schueller, G., Patlas, M., Laghi, A., Muto, M., Nicola, R., Zins, M., Miele, V., Hartley, R., Katz, D., & Derchi, L. (2020). The practice of emergency radiology throughout Europe: a survey from the European Society of Emergency Radiology on volume, staffing, equipment, and scheduling. European Radiology, 31, 2994 – 3001. https://doi.org/10.1007/s00330-020-07436-x.
2- Licaros, A., & Cañal, J. (2020). Critical Findings Reporting in Cranial CT Scans of Patients in a Tertiary Government Hospital Setting:A Pilot Study. Acta Medica, 51, 8-16. https://doi.org/10.32552/0.ACTAMEDICA.394.
3- Cellina, M., Cè, M., Irmici, G., Ascenti, V., Caloro, E., Bianchi, L., Pellegrino, G., D’Amico, N., Papa, S., & Carrafiello, G. (2022). Artificial Intelligence in Emergency Radiology: Where Are We Going? Diagnostics, 12. https://doi.org/10.3390/diagnostics12123223.
4- Jalal, S., Parker, W., Ferguson, D., & Nicolaou, S. (2020). Exploring the Role of Artificial Intelligence in an Emergency and Trauma Radiology Department. Canadian Association of Radiologists Journal, 72, 167 – 174. https://doi.org/10.1177/0846537120918338.
5- Cameron, P., Mitra, B., & Kelly, A. (2023). Zero risk is not possible in emergency medicine. Emergency Medicine Australasia, 35. https://doi.org/10.1111/1742-6723.14140.
6- Hettinger, A., Benda, N., Roth, E., Hoffman, D., Iyer, A., Franklin, E., Perry, S., Fairbanks, R., & Bisantz, A. (2020). Ten Best Practices for Improving Emergency Medicine Provider-Nurse Communication.. The Journal of Emergency Medicine. https://doi.org/10.1016/j.jemermed.2019.10.035.
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