AI Powered Case Sheet Summarization to accelerate surgery readiness

Leveraging AI to streamline patient case sheet summarization for enhanced efficiency, while cutting down on time and costs

A healthcare technology company focused on developing and manufacturing implants, instruments, and devices designed for diagnosing and treating pain in the hip, spine, and Sacro-Iliac (SI) areas. These specialized products range from advanced implant systems that stabilize joints and bones to sophisticated surgical instruments that enhance precision and reduce recovery times for patients. The company's products are utilized in around 2000 surgeries each month, reflecting wide acceptance and trust within the medical community. One key pre-surgery step in these procedures is a complex, repetitive, and time-intensive manual process that significantly impacts preparation efficiency.
Patient Case Review: A Pre-Surgery Bottleneck

The pre-surgery process involves multiple steps, each requiring meticulous attention to detail and thorough review of patient information. A critical task within this workflow is the comprehensive review of a patient's case sheet, which includes delving into their medical histories, examining records, and verifying test results. This exhaustive review is necessary to prepare an accurate and thorough readiness report. This report, structured around a standard questionnaire, assesses pre-surgery readiness through various lenses including patient safety, compliance with medical protocols, and validity of insurance claims. Preparing these reports, which often involves cross-referencing extensive medical data, takes about 4 days on average. The manual nature of this task leaves it prone to errors, inconsistencies, and occasional delays, all of which can compromise surgical scheduling and orchestrations of logistics. Given the high volume of surgeries involving SI-Bone products, the organization saw an urgent need for a solution that could streamline this critical process, heighten accuracy, and alleviate the administrative burden on staff.

The Solution: Generative AI-Powered Summarization & Report Generation

Accellor developed a Generative-AI solution that seamlessly integrates into the pre-surgery workflow. This advanced AI-powered system reviews uploaded documents, efficiently summarizes them, and generates the readiness report by expertly answering the required questionnaire. The process is initiated by uploading all relevant patient documents into the AI system. Utilizing natural language processing and machine learning algorithms, the AI swiftly scans these documents to extract pertinent information and compile answers in a user-friendly chat-based interface. Depending on the volume and complexity of the documents, this entire process can be completed within 10-30 minutes. Each response generated by the AI includes reference links to the original documents, allowing users to validate the information or delve deeper if additional context is needed. This solution offers tremendous versatility, being useful for a variety of stakeholders such as surgeons needing a quick risk assessment, or insurance providers looking to verify patient and surgery eligibility, thereby enhancing decision-making and operational efficiency.

Enhanced Efficiency, Saved Time and Improved Throughput

The AI solution has revolutionized the readiness report generation process, reducing the time required from an average of 4 days to just a few minutes—a staggering ~95% reduction in time. This timesaving empowers skilled resources to redirect their expertise to other critical and value-added tasks, fostering an environment where operational efficiency is greatly enhanced. The solution's precision ensures that reports are accurate and compliant with necessary standards, significantly minimizing the risk of errors. Overall, implementing this sophisticated AI-powered solution has resulted in a 40% resource savings and a remarkable 65% increase in throughput, allowing the organization to handle a higher volume of surgeries without compromising quality or safety.

95%
resource savings
40%
resource savings
65%
increase in throughput

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