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. To get there, we are using artificial intelligence to unlock unstructured medical data.
Read More
Computer assisted coding solutions adopted at many health systems across North America 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.
Read More
Launching with an oversubscribed seed round of US$2.7 million and 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.
Read More
Medical auditing processes used at hospitals across the country are manual and error-prone. In an experiment with two large hospitals, we used AI to identify documentation errors that were missed in audits. The results emphasized that Canadian hospitals have tremendous room for improvement in their auditing practices.
Read More
Real-time patient record review is becoming increasingly common because it aligns physician, coder, and CDI workflows and can help achieve revenue cycle efficiency. With retrospective reviews following patient discharge, most healthcare providers miss out on the opportunity for more accurate reimbursements, timelier reporting, and CDI program innovations.
Read More
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.
Read More
Increase Reimbursement
Increase Productivity
Increase Documentation Quality
Reduce Coding Errors