IT-Supported Management of Mass Casualty Incidents: The e-Triage Project

Voice, analogue mobile radio, and paper have been successfully used for decades for coordination of emergencies and disasters, but although being simple and robust this approach cannot keep pace with today’s requirements any more. Emerging and established digital communication standards open the door to new applications and services, but the expected benefit needs to be carefully evaluated against robustness, interoperability, and user-friendliness. This paper describes a framework for IT-supported management of mass casualty incidents, which is currently under implementation and study. The four pillars of the concept are handheld devices for use both in daily rescue operations and in disasters, autonomous satellite-based communication infrastructure, a distributed database concept for maximal availability, and psychological acceptance research

Digital Orthopaedics: A Glimpse Into the Future in the Midst of a Pandemic.

BackgroundThe response to COVID-19 catalyzed the adoption and integration of digital health tools into the health care delivery model for musculoskeletal patients. The change, suspension, or relaxation of Medicare and federal guidelines enabled the rapid implementation of these technologies. The expansion of payment models for virtual care facilitated its rapid adoption. The authors aim to provide several examples of digital health solutions utilized to manage orthopedic patients during the pandemic and discuss what features of these technologies are likely to continue to provide value to patients and clinicians following its resolution.ConclusionThe widespread adoption of new technologies enabling providers to care for patients remotely has the potential to permanently change the expectations of all stakeholders about the way care is provided in orthopedics. The new era of Digital Orthopaedics will see a gradual and nondisruptive integration of technologies that support the patient's journey through the successful management of their musculoskeletal disease

Equivalent Mid-Term Results of Open vs Endoscopic Gluteal Tendon Tear Repair Using Suture Anchors in Forty-Five Patients.

BackgroundLittle is known about the relative efficacy of open (OGR) vs endoscopic (EGR) gluteal tendon repair of gluteal tendon tears in minimizing pain and restoring function. Our aim is to compare these 2 surgical techniques and quantify their impact on clinical outcomes.MethodsAll patients undergoing gluteal tendon tear repair at our institution between 2015 and 2018 were retrospectively reviewed. Pain scores, limp, hip abduction strength, and the use of analgesics were recorded preoperatively and at last follow-up. The Hip disability and Osteoarthritis Outcome Score Junior and Harris Hip Score Section1 were obtained at last follow-up. Fatty degeneration was quantified using the Goutallier-Fuchs Classification (GFC). Statistical analysis was conducted using one-way analysis of variance and t-tests.ResultsForty-five patients (mean age 66, 87% females) met inclusion criteria. Average follow-up was 20.3 months. None of the 10 patients (22%) undergoing EGR had prior surgery. Of 35 patients (78%) undergoing OGR, 12 (27%) had prior hip replacement (75% via lateral approach). The OGRs had more patients with GFC ≥2 (50% vs 11%, P = .02) and used more anchors (P = .03). Both groups showed statistical improvement (P ≤ .01) for all outcomes measured. GFC >2 was independently associated with a worst limp and Harris Hip Score Section 1 score (P = .05). EGR had a statistically higher opioid use reduction (P < .05) than OGR. Other comparisons between EGR and OGR did not reach statistical significance.ConclusionIn this series, open vs endoscopic operative approach did not impact clinical outcomes. More complex tears were treated open and with more anchors. Fatty degeneration adversely impacted outcomes. Although further evaluation of the efficacy of EGR in complex tears is indicated, both approaches can be used successfully

Framework for Development Triages through Mobile Applications

The emergency triage is being implemented due to the congestion of the emergency services, for several reasons, such as: easy access to the patient, demanding an immediate diagnostic an medical aid, prioritizing severely ill patients rather than patients with minor problems that make improper use of the emergency areas. The objective is building a system, integrated to the main system of health organization, for management of emergency triage. To do this, we have analysed and developed a system which allows us to evaluate patients through a mobile application. Results suggest that the integration of emergency triage to mobile application, helps to improve and optimize resource management and decrease the response time. In conclusion, this system optimizes the resources implemented as well as an increase of customer satisfaction

Evaluation of medical response in disaster preparedness : with special reference to full-scale exercises

Background: Disaster exercises and simulations serves as teaching and training tool for improving medical response in disaster preparedness. Rapid and effective medical response in major incidents is known as a “key phase” to optimise resources, and this requires that management systems have an “all hazards” approach. Decision-making at all levels of management is based on available information and involves allocation of medical resources and triage decisions. Aim: The overall aim of this thesis was to increase our knowledge of the impact of quantitative evaluation of medical response on disaster preparedness. The specific aims were: to increase the ability to learn from full-scale exercises by applying quality indicators at two levels of command and control (I, II); to identify key indicators essential for initial disaster medical response registration (III); to explore ambulance staff attitudes towards practising triage tagging (IV); and to increase our knowledge of the applicability of a technical support system and its potential to provide real-time, overall situation awareness available to those overseeing the medical management of the operation. Methods: Study I, II and V were observational studies based on data collections from full-scale exercises. Templates with measurable performance indicators for evaluation of command and control were used in Study I and II and the same performance indicators combined with outcome indicators was also included in Study II. A consensus method, the Delphi technique, with 30 experts was used in Study III. Study IV used mixed methods, a pre-and post web survey answered by ambulance nurses and physicians (n=57 respectively 57) before and after a time limited strategy with triage tags and three focus groups interviews comprising 21 ambulance nurses and emergency medical technicians. Study V used major two incidents simulations to test the applicability of Radio Frequency Identification (RFID tags) technology and compare it with traditionally paper-based triage tags (n= 20 respectively 20). The quantitative data were analysed using descriptive statistics, and content analysis was used for the qualitative data. Results: The evaluation model exposed several problems occurring in the initial decision-making process that were repeatedly observed (I, II). These results in study II also demonstrated to have a major impact on patient outcome.Out of 17 severely injured patients five respectively seven were at risk for preventable death. A total of 97 statements were generated, of these 77 statements reached experts consensus, and 20 did not (III). Ambulance staffs believe in the usefulness of standardised triage methods, but the sparse application of triage tags at the scene indicates that the tags are not used frequently. Infrequent use in daily practice prevents participants from feeling confident with the triage tool (IV).The Radio Frequency Identification system improved situational awareness in disaster management. Triage information was available at least one hour earlier compared to a paper-based triage system (V). Conclusions: The presented evaluation model can be used in an objective, systematic and reproducible way to evaluate complex medical responses, which is a prerequisite for quality assurance, identification of problems, and the development of disaster preparedness

PICT-DPA: A Quality-Compliance Data Processing Architecture to Improve the Performance of Integrated Emergency Care Clinical Decision Support System

Emergency Care System (ECS) is a critical component of health care systems by providing acute resuscitation and life-saving care. As a time-sensitive care operation system, any delay and mistake in the decision-making of these EC functions can create additional risks of adverse events and clinical incidents. The Emergency Care Clinical Decision Support System (EC-CDSS) has proven to improve the quality of the aforementioned EC functions. However, the literature is scarce on how to implement and evaluate the EC-CDSS with regard to the improvement of PHOs, which is the ultimate goal of ECS. The reasons are twofold: 1) lack of clear connections between the implementation of EC-CDSS and PHOs because of unknown quality attributes; and 2) lack of clear identification of stakeholders and their decision processes. Both lead to the lack of a data processing architecture for an integrated EC-CDSS that can fulfill all quality attributes while satisfying all stakeholders’ information needs with the goal of improving PHOs. This dissertation identified quality attributes (PICT: Performance of the decision support, Interoperability, Cost, and Timeliness) and stakeholders through a systematic literature review and designed a new data processing architecture of EC-CDSS, called PICT-DPA, through design science research. The PICT-DPA was evaluated by a prototype of integrated PICT-DPA EC-CDSS, called PICTEDS, and a semi-structured user interview. The evaluation results demonstrated that the PICT-DPA is able to improve the quality attributes of EC-CDSS while satisfying stakeholders’ information needs. This dissertation made theoretical contributions to the identification of quality attributes (with related metrics) and stakeholders of EC-CDSS and the PICT Quality Attribute model that explains how EC-CDSSs may improve PHOs through the relationships between each quality attribute and PHOs. This dissertation also made practical contributions on how quality attributes with metrics and variable stakeholders could be able to guide the design, implementation, and evaluation of any EC-CDSS and how the data processing architecture is general enough to guide the design of other decision support systems with requirements of the similar quality attributes

Clinical decision support system for point of care use--ontology-driven design and software implementation

OBJECTIVES: The objective of this research was to design a clinical decision support system (CDSS) that supports heterogeneous clinical decision problems and runs on multiple computing platforms. Meeting this objective required a novel design to create an extendable and easy to maintain clinical CDSS for point of care support. The proposed solution was evaluated in a proof of concept implementation. METHODS: Based on our earlier research with the design of a mobile CDSS for emergency triage we used ontology-driven design to represent essential components of a CDSS. Models of clinical decision problems were derived from the ontology and they were processed into executable applications during runtime. This allowed scaling applications' functionality to the capabilities of computing platforms. A prototype of the system was implemented using the extended client-server architecture and Web services to distribute the functions of the system and to make it operational in limited connectivity conditions. RESULTS: The proposed design provided a common framework that facilitated development of diversified clinical applications running seamlessly on a variety of computing platforms. It was prototyped for two clinical decision problems and settings (triage of acute pain in the emergency department and postoperative management of radical prostatectomy on the hospital ward) and implemented on two computing platforms--desktop and handheld computers. CONCLUSIONS: The requirement of the CDSS heterogeneity was satisfied with ontology-driven design. Processing of application models described with the help of ontological models allowed having a complex system running on multiple computing platforms with different capabilities. Finally, separation of models and runtime components contributed to improved extensibility and maintainability of the system