To make AI adoption effective, hospitals must ensure that software is integrated within their current data flow process and does not become a blocker for efficiency. How can hospitals ensure this? Mapping the data pipeline is the first step.
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Pre-bill auditing is an effective way to improve data quality, ensure revenue integrity, and increase your clean bill rate. The pre-bill audit process can save hospitals money and drive efficiencies downstream in their revenue cycle.
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Incorporating software into traditionally manual coding & audit processes to increase efficiency and accuracy requires a deep appreciation for coders’ workflows and expertise. Semantic Health’s product design process, by which key principles guide the creation of the best software product to meet the needs of our end-users, has been carefully considered from this perspective.
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The use of AI in the healthcare industry has become a common trend. It has already proven to be an effective tool to help hospitals improve coding and auditing performance by driving efficiencies and saving time for health information management and revenue cycle management professionals.
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Advancements in technology have enabled healthcare organizations to tackle pressing workforce challenges using AI.
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AI-assisted coding and auditing are revolutionizing the healthcare industry in Canada by making coding and auditing processes more efficient, accurate and enabling significant improvements in clinical documentation quality.
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Once your data pipeline is outputting high-quality data, you can enable several secondary use cases that boost your hospital’s clinical, operational and financial performance.
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With the approaching deadline for submissions to CIHI for NACRS and DAD data holdings, Semantic Health hosted a webinar to provide an overview of current submission preparation processes and the ways that your healthcare organization can be empowered to address current issues using Semantic Health’s technology.
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Explore COVID-19 and its impact on medical coding and auditing at hospitals, and assess the importance of adopting AI assisted medical coding to improve the overall accuracy and efficiency of operations.
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If you meet one or more of the following criteria, you should consider adopting an AI-assisted medical coding solution soon in order to avoid long-lasting and impactful issues with medical coding, compliance, and loss of valuable data.
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Canadian hospitals are increasingly measured and compared based on the data submitted to CIHI and provincial ministries. How can real-time data help with CDI programs?
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Unstructured data has significant value but is underutilized. The future of patient care demands improved access to this data and the analytical value that can be generated from it.
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CAC solutions adopted at many health systems are not built for specialized clinical populations, like pediatrics. Learn how they are built, why they do not work for a pediatric context, and what the alternative is.
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Increase Reimbursement | Increase Productivity | Increase Documentation Quality | Reduce Coding Errors