Mechanical Ventilation Expert vs anaeSnap

Caution! This app is intended for intensive care physicians. If you are NOT a physician and would like to use it anyway, please consult your physician before using this app or making any medical decisions. This app has endorsement for usage in the Russian Federation. Many doctors deal with the treatment of patients with varying degrees of acute respiratory failure (ARF). But the choice of the optimal method and, especially, the timely correction of the parameters of invasive and non-invasive mechanical lung ventilation often cause difficulties, especially for young doctors. Unfortunately, expensive ventilation machines, without their skillful use, are not a guarantee of an improvement in the mortality rate in ARF. This has been especially evident during the COVID-19 pandemic. In international clinical practice, it is customary to determine the degree of ARF by the oxygenation index (the ratio of the partial pressure of oxygen in arterial blood (PaO2) to the fraction of inspired oxygen (FiO2)). This indicator is also included in most "severity of illness" scoring systems (SOFA, APACHE II-III, etc.). However PaO2 estimation is only possible after collecting the arterial blood for laboratory monitoring of blood gases, making it costly and invasive. In 2020-2021 a multicenter research was carried out at five clinical hospitals in Volgograd, Russia, which included 1038 patients with acute lung injury and acute respiratory distress syndrome against the background of viral (COVID-19) and bacterial pneumonia. The goals of the research were firstly, to develop a non-invasive method for determining the oxygenation index (PaO2 / FiO2) based on oxygen saturation (SpO2), and secondly, to define general criteria for correcting the parameters of invasive and non-invasive mechanical ventilation. This application is based on the results of the research. The relationship between SpO2 and PaO2 index values was determined for various FiO2 and types of respiratory support. The app also implements the general principle of oxygen therapy - from less to more invasive. The app allows the user not only to choose the most effective method of respiratory support, but also timely learn about the need for its correction. Every clinician knows that the mortality rate in patients with ARF is greatly influenced by the validity of the beginning and end of Invasive Mechanical Ventilation treatment - and this app solves this problem. The educational effect of this app should also be noted. It will help doctors to quickly master and more competently use expensive ventilation machines, which, of course, will have a beneficial effect on the results of treatment of patients with ARF. The following sources were used to create the app: 1. Brown SM, Grissom CK, Moss M, Rice TW, Schoenfeld D, Hou PC, Thompson BT, Brower RG; NIH/NHLBI PETAL Network Collaborators. Nonlinear Imputation of Pao2/Fio2 From Spo2/Fio2 Among Patients With Acute Respiratory Distress Syndrome. Chest. 2016 Aug;150(2):307-13. doi: 10.1016/j.chest.2016.01.003. Epub 2016 Jan 19. PMID: 26836924; PMCID: PMC4980543. 2. Bilan N, Dastranji A, Ghalehgolab Behbahani A. Comparison of the spo2/fio2 ratio and the pao2/fio2 ratio in patients with acute lung injury or acute respiratory distress syndrome. J Cardiovasc Thorac Res. 2015;7(1):28-31. doi: 10.15171/jcvtr.2014.06. Epub 2015 Mar 29. PMID: 25859313; PMCID: PMC4378672. 3. Yoshida T, Takegawa R, Ogura H. [Ventilatory strategy for ARDS]. Nihon Rinsho. 2016 Feb;74(2):279-84. Japanese. PMID: 26915253. 4. Fan E, Brodie D, Slutsky AS. Acute Respiratory Distress Syndrome: Advances in Diagnosis and Treatment. JAMA. 2018 Feb 20;319(7):698-710. doi: 10.1001/jama.2017.21907. PMID: 29466596. 5. Петров, В. И. Эволюция клинико-фармакологических и терапевтических принципов лечения инфекции COVID-19 / Петров В. И. [и др. ]. - Москва : ГЭОТАР-Медиа, 2021. - 312 с. - DOI: 10.33029/9704-6386-4-ECPC-2021-1-312. - ISBN 978-5-9704-6386-4.

AnaeSnap is a clinical documentation and reporting application designed to support healthcare professionals working in anaesthesia, perioperative care, patient transport, recovery, emergency care, and other fast-paced clinical environments. The app aims to simplify documentation, improve record keeping, and help clinicians capture important information quickly and efficiently at the point of care. Developed with real-world clinical workflows in mind, AnaeSnap provides a structured approach to recording patient observations, procedures, medications, and significant clinical events. The application is intended to reduce the burden of manual note-taking while improving the consistency and quality of clinical documentation. Key Features Structured Clinical Reports Create clear, organised reports using predefined templates designed for perioperative and procedural care. Structured reporting helps ensure important information is documented consistently and can be reviewed easily. Vital Signs Recording Record and monitor essential physiological observations, including heart rate, blood pressure, oxygen saturation, respiratory rate, temperature, and other key parameters. Data can be documented throughout the patient journey. Medication Documentation Quickly record medications administered during patient care, including anaesthetic agents, analgesics, sedation medications, antiemetics, antibiotics, and emergency drugs. Realtime medication half life alert on screen. Procedure Documentation Capture details of procedures including regional anaesthesia techniques, airway management, vascular access, patient positioning, and other perioperative interventions. Transport Mode Designed for patient transfers and emergency transport situations where rapid documentation is essential. Record key observations, interventions, medications, and events while maintaining a clear timeline of care. Clinical Photography Capture clinical images to support documentation of procedures, equipment placement, wounds, skin findings, and other relevant clinical observations. Images can be incorporated into reports to provide additional context. AI-Assisted Analysis AnaeSnap includes optional artificial intelligence features that can assist with image interpretation and clinical observations. AI-generated information is intended to support documentation and should always be reviewed and verified by qualified healthcare professionals before clinical use. Real-Time Event Logging Create a chronological record of important clinical events as they occur. This can help improve accuracy when documenting complex cases or busy clinical situations. Customisable Workflows Configure reporting and documentation processes to match local clinical practice and individual workflow preferences. Designed for Busy Clinical Environments AnaeSnap has been developed to support healthcare professionals working under pressure, where rapid access to information and efficient documentation are essential. The interface is designed to minimise unnecessary complexity while maintaining comprehensive record keeping. Security and Privacy AnaeSnap is designed with privacy and security in mind. Users remain responsible for ensuring compliance with local information governance, confidentiality, and data protection requirements. Any AI-generated output should be considered supportive information and not a substitute for professional clinical judgement. Who Is AnaeSnap For? Anaesthetists Recovery nurses Operating department practitioners (ODPs) Critical care clinicians Emergency medicine clinicians Transport and retrieval teams Pain specialists Perioperative practitioners Medical educators and trainees AnaeSnap is continuously evolving based on user feedback and clinical experience. Our goal is to provide a practical, modern documentation platform that helps healthcare professionals capture important clinical information efficiently while supporting high standards of patient care.