Automating the Calculation of Patients’ Expected Mortality Risk by Deploying Intelligent Automation Bots
To address these challenges, Accelirate deployed
Robotic Process Automation (RPA) Bots for the healthcare provider. These Bots are designed to automate the calculation of patients’ expected mortality risk scores using the Vizient Risk Model Calculator. The implementation involves analyzing clinical codes within the integrated EPIC system and navigating through various workbooks in the calculator. A Bot evaluates individual patients and generates an expected mortality score to record the patient’s chart. The Bots operated unattended and ran daily, streamlining the previous manual process.
How Accelirate Addressed the Challenges with RPA Solutions?
In the complex and time-sensitive field of healthcare, the process of assessing patient mortality risk is crucial. However, traditional, non-standardized methods are highly labor-intensive, prone to errors, and simply inefficient. The client sought the help of Accelirate to tackle similar challenges. After diligent analysis of the client’s existing automation profile, Accelirate designed and implemented an advanced
RPA solution and integrated it with the EPIC system as well as the Vizient Risk Model Calculator. The RPA implementation addressed the challenges by automating the most complex aspects of mortality index process. The following processes were automated by Accelirate:
01- Deployment of RPA Bots
Challenges: The client had difficulties managing a labor-intensive mortality index process which required multiple daily reviews of 900 patients. The overall workflow was complex and prone to eros.
Solutions: Accelirate implemented RPA bots to streamline the mortality index process, initiating rapid integration of
Intelligent Process Automation, EPIC, and the Vizient Risk Model Calculator. This streamlined workflows and reduced manual labor.
02 - Automation Focus
Challenges: Manual calculation of patients’ mortality risk scores was time-consuming and inconsistent, and often risked compromising care quality.
Solutions: The bots deployed by Accelirate automate the calculation of patients’ expected mortality risk scores using the Vizient Risk Model Calculator, improving both the speed and accuracy of assessments.
03 - Data Analysis
Challenges: Manually analyzing clinical codes from the EPIC system was ineffective and limited the efficiency potential of the overall process.
Solutions: RPA allows the clinical codes to be analysed within the integrated EPIC system.
04 - Workbook Navigation
Challenges: The client’s workforce had to manually navigate through multiple workbooks in the Vizient Risk Model Calculator, which was slow and prone to mistakes.
Solutions: RPA automated workbook navigation and the bots now navigate through various workbooks in the Vizient calculator to gather necessary data without requiring human intervention.
05 - Patient Evaluation
Challenges: Human variability and workload potentially risked the accuracy of the patient mortality risk evaluation, compromising quality patient care.
Solutions: Unattended bots are assigned to evaluate individual patients and generate an expected mortality score.
06 - Record Keeping
Challenges: Manually entering mortality risk scores into patient records was not only time consuming but also error-prone, potentially contributing to inconsistent documentation.
Solutions: The RPA bots automatically record the mortality risks scores of individual patients in their respective charts, completing the Mortality Index Process without requiring any manual entry.
Enhancing Operational Efficiency and Patient Care with Strategic Bot Deployment
The automation enabled the client to manage the complex process of patient risk evaluation effortlessly, offering a scalable and cohesive solution for positive outcomes. By combining industry expertise with advanced automation technologies, Accelirate delivered a foolproof RPA implementation strategy for the client. The implementation allowed the client – a leading healthcare provider – to streamline critical, error-prone, and time-sensitive healthcare operations, minimize manual labor, and drive greater focus on more nuanced aspects of patient care. This shift optimized the workflow and delivered significant time and cost savings, ultimately enhancing patient management and reducing mistreatment caused by data inaccuracy.
01 - Streamlined Assessment Process
The solution facilitated quicker and more accurate assessments of patient risk. Previously, the manual process required extensive time and attention to detail, as the workforce was required to cross-reference clinical data and medical histories with the Vizient Risk Model Calculator. With the RPA bots now handling the data analysis and risk score calculations, the assessments are conducted more rapidly, reducing the time spent on each patient.
02 - Improved Efficiency
The solution has contributed to 5 FTE human hour savings per year, indicating reduced staffing needs and greater focus on more critical tasks. With the automation handling repetitive and rule-based tasks, the staffing requirements were incredibly reduced, enabling better reallocation of resources to higher-value tasks like direct patient care, interaction, and care coordination.
03 - Significant Time Savings
The implementation drastically reduced the time staff spent on manual calculation, saving 10,000 annual human hours. The deployment of unattended bots capable of tackling time-consuming tasks with a much-accelerated timeframe made these significant time savings possible, without compromising quality.
04 - Reduced Costs
Streamlining the process has resulted in substantial cost savings, helping the client save up to $620,000 annually. The implementation of RPA reduced both labor costs and operational expenses, contributing to these major savings.
05 - Enhanced Patient Care Delivery and Patient Management
The healthcare team can now more quickly identify and address the needs of at-risk patients proactively, leading to efficient management and outcomes. The automation of the mortality risk assessment process has provided a more proactive approach to patient management, facilitating better patient outcomes, and thereby resulting in enhanced delivery.
06 - Reduce the Risk of Error Rates
Automating the calculations has minimized the risk of errors by and large, enhancing the overall accuracy of patient evaluations. Automating the traditionally manual process of calculating mortality risk scores empowered the bots to consistently and accurately calculate risk scores by following predefined rules without deviation.