Deploying a novel custom mobile application for STEMI activation and transfer in a large healthcare system to improve cross-team workflow. STEMIcathAID implementation project.

BACKGROUND: ST-segment elevation myocardial infarction (STEMI) is a high-risk patient medical emergency. We developed a secure mobile application, STEMIcathAID, to optimize care for STEMI patients by providing a digital platform for communication between the STEMI care team members, EKG transmission, cardiac catherization laboratory (cath lab) activation and ambulance tracking. The aim of this report is to describe the implementation of the app into the current STEMI workflow in preparation for a pilot project employing the app for inter-hospital STEMI transfer. APPROACH: App deployment involved key leadership stakeholders from all multidisciplinary teams taking care of STEMI patients. The team developed a transition plan addressing all aspects of the health system improvement process including the workflow analysis and redesign, app installation, personnel training including user account access to the app, and development of a quality assurance program for progress evaluation. The pilot will go live in the Emergency Department (ED) of one of the hospitals within the Mount Sinai Hospital System (MSHS) during the daytime weekday hours at the beginning and extending to 24/7 schedule over 4-6 weeks. For the duration of the pilot, ED personnel will combine the STEMIcathAID app activation with previous established STEMI activation processes through the MSHS Clinical Command Center (CCC) to ensure efficient and reliable response to a STEMI alert. More than 250 people were provisioned app accounts including ED Physicians and frontline nurses, and trained on their user-specific roles and responsibilities and scheduled in the app. The team will be provided with a feedback form that is discipline specific to complete after every STEMI case in order to collect information on user experience with the STEMIcathAID app functionality. The form will also provide quantitative metrics for the key time sensitive steps in STEMI care. CONCLUSIONS: We developed a uniform approach for deployment of a mobile application for STEMI activation and transfer in a large urban healthcare system to optimize the clinical workflow in STEMI care. The results of the pilot will demonstrate whether the app has a significant impact on the quality of care for transfer of STEMI patients.

A mobile application for STEMI care optimization: Pilot implementation project report.

BACKGROUND: Clinical outcomes of patients presenting with STEMI are significantly improved by reducing time from vessel occlusion to coronary blood flow restoration. In an effort to improve outcomes, we developed a secure mobile application, STEMIcathAID, and designed a pilot project implementing the app into the workflow for STEMI patients transfer. The aim of the study is to assess the impact of the app on key metrics for STEMI transfer before (historic) and after app launch. METHODS: The pilot project included physicians, nurses and technicians from the Emergency Medicine and Nursing Departments at the referring center, the catheterization laboratory and transfer center. From July 2021 to February 2023, the referring center activated STEMIcathAID alarms in parallel with the previously established STEMI activation with traditional phone call to transfer center. RESULTS: One hundred eleven suspected STEMI calls were activated through the app with 66 accepted and 45 rejected cases; thirty-one STEMI cases with available device time were compared with 42 STEMIs activated through the traditional pathway before the app implementation. Median door-to-device time for STEMIcathAID-assisted transfer decreased from 106 to 86 min (p < 0.001). The significant improvement, 20 min (19%), of the key metric for interhospital transfer resulted in all STEMI cases meeting the AHA goal of door-to-device time ≤ 120 min. In addition, median door-in-door-out time at the referral hospital decreased from 56 to 50 min (p = 0.01). CONCLUSIONS: Implementation of a mobile app into STEMI workflow of a large urban healthcare system significantly improved the quality of care for transfer of STEMI patients. TRIAL REGISTRATION: AHA Get With The Guidelines-Coronary Artery Disease® (GWTG-CAD) registry is a national quality improvement program and is not subject to the institutional review board approval.

Mobile application to optimize care for ST-segment elevation myocardial infarction patients in a large healthcare system, STEMIcathAID: rationale and design.

Aims: Technological advancements have transformed healthcare. System delays in transferring patients with ST-segment elevation myocardial infarction (STEMI) to a primary percutaneous coronary intervention (PCI) centre are associated with worse clinical outcomes. Our aim was to design and develop a secure mobile application, STEMIcathAID, streamlining communication, and coordination between the STEMI care teams to reduce ischaemia time and improve patient outcomes. Methods and results: The app was designed for transfer of patients with STEMI to a cardiac catheterization laboratory (CCL) from an emergency department (ED) of either a PCI capable or a non-PCI capable hospital. When a suspected STEMI arrives to a non-PCI hospital ED, the ED physician uploads the electrocardiogram and relevant patient information. An instant notification is simultaneously sent to the on-call CCL attending and transfer centre. The attending reviews the information, makes a video call and decides to either accept or reject the transfer. If accepted, on-call CCL team members receive an immediate push notification and begin communicating with the ED team via a HIPAA compliant chat. The app provides live GPS tracking of the ambulance and frequent clinical status updates of the patient. In addition, it allows for screening of STEMI patients in cardiogenic shock. Prior to discharge, important data elements have to be entered to close the case. Conclusion: We developed a novel mobile app to optimize care for STEMI patients and facilitate electronic extraction of relevant performance metrics to improve allocation of resources and reduction of costs.