A system for a centralized SaaS platform to optimize surgical workflows

Abstract

A system for a centralized SaaS platform to optimize surgical workflows, which includes the following: a pre-operative planning module for planning operations and coordinating with medical staff; a module for managing operating rooms to track and assign operating rooms, surgical instruments and medical personnel in real time; a module for conducting operations in real time, which continuously informs the operational teams about the progress of ongoing procedures and the status of the equipment; a module for postoperative care to monitor the patient's recovery, plan follow-up examinations and ensure compliance with postoperative care protocols; a predictive analytics module for optimizing surgical planning based on historical data, patient conditions, surgeon preferences, and resource availability; and a centralized communication module to provide real-time alerts, notifications and updates to surgical teams and staff for seamless coordination.

Description

[0001] The present invention relates to healthcare management and, more particularly, to a centralized software-as-a-service (SaaS) platform for optimizing surgical workflows in healthcare facilities.

[0002] Optimizing surgical workflows is a major challenge in healthcare, especially in hospitals and surgical centers where multiple departments and specialists are involved in the process. Surgical procedures require careful coordination between surgeons, anesthesiologists, nurses, operating room staff, and administrative personnel. Inefficiencies, miscommunication, and fragmentation in these workflows often lead to delays, errors, and compromised patient care. Traditional surgical workflows consist of multiple phases, including preoperative planning, patient scheduling, operating room (OR) management, real-time surgical execution, and postoperative care. However, disruptions in any of these phases can lead to delays, resource conflicts, or increased risks to patient safety.

[0003] Traditional surgical workflow management systems typically rely on manual processes or distributed tools that aren't seamlessly integrated. Many hospitals still rely on paper-based records or simple scheduling systems that are prone to human error and scheduling conflicts. These systems are typically isolated from other hospital functions, meaning they don't provide real-time updates or coordination between departments, leading to inefficiencies in resource allocation and surgical management. While electronic health records (EHRs) and surgical scheduling software are helpful in managing patient data and appointments, they don't always integrate with operating room resource management or provide real-time surgical monitoring, resulting in fragmented workflows.Resource management systems for tracking equipment and operating room availability are often separated from scheduling software, leading to problems coordinating the right equipment and rooms at the right time.

[0004] Furthermore, postoperative care management, which is critical for patient recovery, is often performed independently and without integration with the preoperative and surgical phases. This leads to delays in follow-up and patient care. Furthermore, most conventional systems do not utilize predictive analytics or machine learning to optimize scheduling and resource utilization, which could reduce delays and improve overall surgical efficiency. Even in modern hospital information systems (HIS), the integration of different systems is often insufficient to effectively manage the entire surgical workflow.Therefore, there is an urgent need for a centralized, fully integrated solution that can optimize surgical workflows from preparation to follow-up, with real-time updates, resource optimization, and data analytics to improve patient outcomes and operational efficiency. The present invention aims to meet these needs by providing a cloud-based SaaS platform that unifies and streamlines all aspects of the surgical process, ultimately improving coordination, efficiency, and patient care.

[0005] To solve this problem, the present invention provides a system for a centralized SaaS platform for optimizing surgical workflows.

[0006] The system for a centralized SaaS platform to optimize surgical workflows, providing a unified platform that integrates all phases of the surgical workflow, including preoperative planning, patient scheduling, operating room management, real-time surgery execution, and postoperative care, ensuring seamless communication and coordination between departments.

[0007] The system for a centralized SaaS surgical workflow optimization platform that can incorporate machine learning algorithms and predictive analytics to optimize surgical scheduling based on historical data, surgeon preferences, patient condition, and resource availability, thereby reducing wait times and improving efficiency in the operating room.

[0008] The system for a centralized SaaS platform for optimizing surgical workflows enables real-time tracking and management of operating room resources, including surgical equipment, staff availability, and room assignments, ensuring optimal resource utilization and minimizing delays due to scheduling conflicts or equipment shortages.

[0009] The system for a centralized SaaS platform to optimize surgical workflows that can improve communication between surgical teams, including surgeons, anesthesiologists, nurses, and administrative staff, by providing a centralized platform for real-time updates, alerts, and notifications during surgery, ensuring that everyone involved is informed throughout the procedure.

[0010] The system for a centralized SaaS platform to optimize surgical workflows that can increase patient safety by minimizing errors in scheduling, resource allocation, and post-operative care, with built-in safety features such as automatic alerts for potential conflicts, patient status updates, and timely post-operative follow-up visits.

[0011] The system for a centralized SaaS platform for surgical workflow optimization that can facilitate data-driven decisions by providing actionable insights and analytics that can help identify inefficiencies, improve workflows, and increase overall hospital performance in terms of surgical throughput and patient outcomes.

[0012] The system for a centralized SaaS platform for optimizing surgical workflows, which can leverage cloud-based technology for scalability and accessibility, ensures that the system can be easily deployed across multiple hospitals or surgical centers, with secure access to data and functionality from any location, enabling better management of surgical procedures on a larger scale.

[0013] The system for a centralized SaaS platform to optimize surgical workflows, developing a user-friendly and intuitive interface for healthcare professionals at all levels, minimizing the learning curve and ensuring that the platform can be easily adopted and used by various stakeholders involved in the surgical process.

[0014] The system for a centralized SaaS surgical workflow optimization platform that helps reduce operating costs by optimizing resource utilization, minimizing unnecessary delays, and streamlining workflows, resulting in more cost-effective surgical management and better allocation of hospital resources overall.

[0015] The system for a centralized SaaS platform for surgical workflow optimization that can ensure that the platform meets legal standards for data privacy and security, including compliance with healthcare regulations such as HIPAA (Health Insurance Portability and Accountability Act), thereby ensuring the confidentiality and security of patient data throughout the workflow optimization process.

[0016] In one embodiment, a system for a centralized SaaS platform for optimizing surgical workflows is provided. The centralized SaaS platform is designed to optimize surgical workflows in hospitals and surgical centers. The platform integrates all phases of the surgical process, including preoperative planning, patient scheduling, operating room management, real-time surgical execution, and postoperative care. It addresses the inefficiencies of traditional systems by providing real-time resource tracking, predictive analytics for surgical scheduling, and improved communication between surgical teams, thus improving overall coordination. The platform utilizes machine learning algorithms to optimize surgical scheduling, ensuring efficient resource utilization and reduced wait times.It also increases patient safety by minimizing errors in planning and resource allocation and supports data-driven decisions to improve hospital performance and patient outcomes.

[0017] Thanks to cloud-based scalability, the system can be deployed across multiple locations and provides healthcare professionals with secure, accessible data and insights. It features a user-friendly interface and ensures compliance with privacy regulations like HIPAA to protect patient information. Ultimately, the platform aims to reduce operating costs, streamline workflows, and enable a more efficient and effective surgical process, improving both patient care and hospital resource utilization.

[0018] The invention is explained again below with reference to the figure. It shows: Fig. : a system for a centralized SaaS platform to optimize surgical workflows.

[0019] Fig.shows a system for a centralized SaaS platform for optimizing surgical workflows. The system for a centralized SaaS platform for optimizing surgical workflows includes a preoperative planning module, an operating room management module, a real-time surgery execution module, a postoperative care module, a predictive analytics module, and a centralized communications module. The preoperative planning module is responsible for scheduling surgeries and coordinating with medical staff. The operating room management module is configured for real-time tracking and allocation of operating rooms, surgical instruments, and medical staff.The real-time surgery execution module is configured to provide surgical teams with continuous information on the progress of ongoing procedures and the status of equipment. The postoperative care module is configured to track patient recovery, schedule follow-up visits, and ensure adherence to post-operative care protocols. The predictive analytics module is configured to optimize surgical scheduling based on historical data, patient conditions, surgeon preferences, and resource availability. The centralized communications module is configured to provide real-time alerts, notifications, and updates to surgical teams and staff, ensuring seamless coordination.The Preoperative Planning module integrates with the hospital's electronic health record (EHR) to access patient data and enable accurate surgical scheduling and resource allocation. The Operating Room Management module enables real-time monitoring of available resources, including operating rooms, surgical instruments, and medical staff. The Real-Time Surgical Execution module provides continuous status updates, including delays, equipment failures, or staffing issues, and automatically adjusts resources to minimize disruptions. The Postoperative Care module includes automatic reminders for follow-up appointments, follow-up protocols, and alerts for complications or delays in recovery.The predictive analytics module uses machine learning algorithms to predict optimal surgical planning, taking into account surgeon availability, resource utilization, and historical surgical data. The centralized communications module enables two-way communication between surgical teams, allowing for real-time decisions and resource reallocation during surgery. The platform is cloud-based, allowing secure remote access by authorized users and facilitating scalability across multiple hospitals or surgical centers. The platform complies with healthcare privacy and security standards, including HIPAA, to ensure the protection of patient data throughout the surgical workflow.The platform features an intuitive user interface that allows healthcare professionals at various levels to easily navigate and use the system, minimizing the learning curve.

[0020] Optimizing surgical workflows using the centralized SaaS platform includes the following steps: scheduling operations and coordinating with medical staff through the preoperative planning module; allocating and tracking operating room resources, including surgical instruments and personnel, through the operating room management module; providing real-time updates during surgery through the real-time operation execution module; tracking patient recovery after surgery and planning follow-up care using the postoperative care module; using predictive analytics to optimize surgical planning and resource allocation based on historical and real-time data; communicating real-time updates and alerts between surgical teams through the centralized communication module.and ensuring secure remote access to the platform through cloud-based technology.; List of reference symbols 100 systems

Claims

[1] A system for a centralized SaaS platform for optimizing surgical workflows, comprising: a preoperative planning module for planning operations and coordinating with medical staff; an operating room management module for tracking and allocating operating rooms, surgical instruments, and medical personnel in real time; a real-time surgical management module that continuously informs surgical teams about the progress of ongoing procedures and the status of equipment; a postoperative care module to track patient recovery, schedule follow-up visits, and ensure compliance with post-operative care protocols; a predictive analytics module to optimize surgical planning based on historical data, patient conditions, surgeon preferences, and resource availability; and a centralized communications module to provide real-time alerts, notifications, and updates to surgical teams and staff to ensure seamless coordination. [2] The system of claim 1, wherein the preoperative planning module is integrated with the hospital's electronic health record (EHR) to access patient data for accurate surgical planning and resource allocation. [3] The system of claim 1, wherein the operating room management module enables real-time monitoring of available resources, including operating rooms, surgical instruments, and medical personnel. [4] The system of claim 1, wherein the module for performing real-time operations continuously updates the status, including any delays, equipment failures or staffing issues, and automatically adjusts resources to minimize disruptions. [5] The system of claim 1, wherein the post-operative care module includes automatic reminders for follow-up appointments, post-operative care protocols, and alerts for any patient complications or delays in recovery. [6] The system of claim 1, wherein the predictive analytics module uses machine learning algorithms to predict optimal surgical scheduling taking into account surgeon availability, resource utilization, and historical surgical data. [7] The system of claim 1, wherein the centralized communication module enables two-way communication between the surgical teams, allowing real-time decision-making and reallocation of resources during the operation. [8] The system of claim 1, wherein the platform is cloud-based, enabling secure remote access by authorized users and facilitating scalability across multiple hospitals or surgical centers. [9] The system of claim 1, wherein the platform complies with healthcare privacy and security standards, including HIPAA, to ensure the protection of patient data throughout the surgical workflow. [10] The system of claim 1, wherein the platform has an intuitive user interface that enables healthcare professionals with varying levels of expertise to easily navigate and use the system, thereby minimizing the learning curve.

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