Setting the Record Straight: How Premier's Stanson Health is Separating Fact from Fiction in Healthcare Automation
Key takeaways:
- Coding automation in healthcare is advancing rapidly, and artificial intelligence (AI) serves as a vital element of its progression, with Premier's Stanson Health’s Hierarchical Condition Category (HCC) clinical decision support (CDS) alerts playing a crucial role in improving accuracy and efficiency in the medical coding process.
- As with many groundbreaking innovations, there are misconceptions about the implications of AI technology for coders and clinicians.
- In this blog, the experts at PINC AI™ Stanson deep dive into the misconceptions and uncover the truths surrounding AI’s integration in healthcare.
In an era of remarkable technological advancements, healthcare automation stands at the forefront of transforming the medical landscape. Premier's Stanson Health is a prime example of a solution that is designed to seamlessly integrate artificial intelligence (AI) and cutting-edge technologies to help increase efficiency, lower costs and reduce low-value and unnecessary care.
However, amidst the promise of these advancements, there are lingering misconceptions about how AI technology will impact coders and clinicians. As with any groundbreaking technology that upends the status quo, there are concerns about the potential consequences associated with utilizing new innovations. Below we are setting the record straight and debunking four common myths to illuminate the true potential of healthcare automation.
Fiction: AI will eventually replace clinicians in making medical decisions.
Fact: While AI has been used to make significant strides in the healthcare field, it will never replace clinicians in making complex medical decisions. Instead, AI can serve as a valuable tool to complement clinicians and help accelerate the decision-making process. For example, one of the key benefits of using Premier's Stanson Health technology is its ability to automate coding, leading to more accurate and efficient documentation. This helps alleviate the burden on healthcare providers, streamlines administrative tasks and ensures accurate billing and record-keeping.
Stanson Health can also help eliminate challenges that exist in documentation improvement, such as capturing detailed patient information and context. AI technology can address these challenges by offering natural language processing (NLP) capabilities, helping to extract essential clinical details from provider notes. This helps ensure comprehensive and precise coding.
It's important to note that while Stanson Health can enhance efficiency and accuracy, it does not replace a clinician’s invaluable knowledge and expertise in understanding the intricacies of each patient's condition and formulating personalized treatment plans. By working hand in hand with AI, clinicians can harness the power of technology to help improve patient outcomes and deliver more effective care.
Fiction: AI will eliminate jobs for healthcare coders and clinical documentation improvement (CDI) specialists.
Fact: Much like clinicians, AI does not aim to eliminate jobs for healthcare coders or CDI specialists; rather, it will enhance and streamline their workflow. Premier's Stanson Health’s AI models draw from extensive and diverse datasets that include medical records and coding guidelines.
Since AI alone cannot fully comprehend the nuances of medical documentation, the Stanson Health team involves human experts during model development and validation, ensuring a more precise and contextually aware coding process. This collaboration is designed to allow AI to handle repetitive and time-consuming tasks, enabling coders to focus on more complex cases, data analysis and quality assurance, ultimately leading to more efficient and accurate healthcare coding practices.
Fiction: AI will make healthcare more expensive.
Fact: Premier's Stanson Health’s Clinical Decision Support (CDS) has the potential to significantly reduce costs associated with Hierarchical Condition Category (HCC) coding.
Stanson’s HCC alerts can assist healthcare providers in accurately identifying and documenting chronic conditions, leading to more precise risk adjustment and appropriate reimbursement. By automating the coding process and improving accuracy, AI can streamline administrative tasks and help reduce the need for manual intervention, ultimately saving time and resources.
Additionally, AI's ability to analyze vast amounts of patient data efficiently can aid in early detection and prevention of diseases, further reducing long-term healthcare expenses. Overall, AI aids in improving efficiency and effectiveness while simultaneously helping to drive down costs.
Fiction: AI doesn’t require any updates.
Fact: The healthcare industry is subject to constant regulatory changes, necessitating ongoing adaptations and updates to AI models. Premier's Stanson Health’s AI models are actively monitored and updated to help maintain accuracy and stay up to date with the latest trends in the field. This helps ensure that Stanson Health solutions remain both compliant and relevant, bolstering the quality of care provided to patients and fostering innovation in healthcare practices.
It's time to ignore the falsehoods.
By combining AI technologies with human expertise, Premier's Stanson Health aims to optimize the HCC coding process, improving efficiency, accuracy and productivity. At the core of Stanson Health's approach are two innovative HCC coding solutions: CodingGuide and CodingCare. These solutions are designed to seamlessly integrate alerts into the electronic health record (EHR) workflow, effectively prompting providers to add necessary codes. With CodingGuide, providers receive actionable HCC guidance, helping to streamline administrative tasks and ensuring accurate reimbursement. Meanwhile, CodingCare builds upon CodingGuide by actively involving coders and documentation improvement specialists in both pre- and post-encounter documentation.
Emphasizing collaboration, continuous learning and quality assurance, Stanson Health effectively addresses many of the challenges associated with HCC coding. As the healthcare industry embraces AI, this dynamic partnership between technology and healthcare professionals promises to revolutionize healthcare delivery, ushering in an era of unprecedented advancements and elevating the overall patient experience.
Learn more about how Premier's Stanson Health can get your healthcare organization on the path to automation.
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Ryan leads a team of clinicians, engineers and data science experts who work together to deliver AI-infused solutions to improve patient care and health costs via a growing client network of over 650 hospitals and 400,000 physicians.
Mr. Nellis is a growth-oriented leader who delivers business value in investor/venture and PE-backed, high-growth, public and private companies. He has developed and executed strategies in the health analytics and real-time clinical decision support solution markets – from both the provider and payer perspectives.
Dr. Hamed Abbaszadegan is a double board-certified physician in the fields of internal medicine and clinical informatics. He served as a Chief Health Innovation & Informatics Officer on the health system domain prior to joining Stanson Health. His focus throughout his career has remained around informatics and patient safety initiatives stemmed from big data applications for front-line clinical care. Since joining Stanson Health, he has served as one of the Physician Executives. His work remains rooted in utilization of clinical decision support tools for optimization of health care delivery.
Todd Shannon is the Chief Growth Officer at Stanson Health, a Premier Inc. company, and brings more than two decades of healthcare technology experience with a focus on driving innovation, building client-facing organizations and a deep understanding of provider and payer markets. In his role, Todd leads the commercial team, which is responsible for new business sales and client expansion initiatives across multiple healthcare verticals.
Article Information
Ryan leads a team of clinicians, engineers and data science experts who work together to deliver AI-infused solutions to improve patient care and health costs via a growing client network of over 650 hospitals and 400,000 physicians.
Mr. Nellis is a growth-oriented leader who delivers business value in investor/venture and PE-backed, high-growth, public and private companies. He has developed and executed strategies in the health analytics and real-time clinical decision support solution markets – from both the provider and payer perspectives.
Dr. Hamed Abbaszadegan is a double board-certified physician in the fields of internal medicine and clinical informatics. He served as a Chief Health Innovation & Informatics Officer on the health system domain prior to joining Stanson Health. His focus throughout his career has remained around informatics and patient safety initiatives stemmed from big data applications for front-line clinical care. Since joining Stanson Health, he has served as one of the Physician Executives. His work remains rooted in utilization of clinical decision support tools for optimization of health care delivery.
Todd Shannon is the Chief Growth Officer at Stanson Health, a Premier Inc. company, and brings more than two decades of healthcare technology experience with a focus on driving innovation, building client-facing organizations and a deep understanding of provider and payer markets. In his role, Todd leads the commercial team, which is responsible for new business sales and client expansion initiatives across multiple healthcare verticals.