Semantic

How will Semantic Health fit in my data pipeline?

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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Audit

Prevent denials with pre-bill auditing powered by AI

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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Semantic

3 Principles Guiding Product Design at Semantic Health

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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Machine Learning

Trends on AI Adoption at Leading Hospitals

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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Machine Learning

Workforce Challenges and AI

Advancements in technology have enabled healthcare organizations to tackle pressing workforce challenges using AI.

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Coding

The Future of Medical Coding and Auditing in Canada

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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Machine Learning

Top 3 Use Cases for Actionable Data

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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Audit

Optimizing CIHI Submissions with AI

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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Audit

Impact of COVID-19 on Medical Coding & Auditing

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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Coding

6 Signs you Should Adopt AI-Assisted Medical Coding in the Next 6 Months

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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Audit

The Power of Real Time Data for Clinical Documentation Improvement Programs

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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Semantic

How We Are Unlocking Data-Driven Care Applications By Helping Medical Coders and Auditors

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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Coding

Why Computer Assisted Coding Does Not Work for Pediatrics Hospitals

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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Semantic

Semantic Health Launches its Medical Coding & Auditing Platform

Expertise in AI, medicine, and medical coding put Semantic Health in the best position to transform medical coding and auditing while enabling actionable use of clinical data.

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Audit

Most Common Coding Issues That Are Not Caught in Audits

In an experiment with two large hospitals, we used AI to identify documentation errors that were missed in audits. The results emphasized that hospitals have tremendous room for improvement in their auditing practices.

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Coding

What Concurrent Coding Means for Your Hospital

Real-time patient record review is becoming increasingly common because it aligns physician, coder, and CDI workflows and can help achieve revenue cycle efficiency. By using retrospective reviews following patient discharge, healthcare providers are missing out.

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Coding

Next Generation Computer Assisted Coding: From Rules to Machine Learning

Almost every medical coder has heard that Computer-Assisted Coding (CAC) will replace them in the near future. New evolutions in technology show that this might not be the case. Instead, next-generation CAC has the potential of augmenting coding workflows to let coders focus on high-value, high-complexity charts.

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