What You Should Know:
- Odesso Health, innovators in bringing artificial intelligence (AI) to automate Electronic Medical Records (EMR) workflows, announced that the Company’s Clinical Data Connector (CDC) is now available on theathenahealth Marketplace and the Appian Community AppMarket.
- Built on the Appian platform, Odesso Health’s CDC automates document review, data extraction, and writing of key quality measures for EMRs/EHRs.
Developing Solutions to Improve Patient Outcomes
More healthcare providers are moving toward a value-based care model, setting fees based on outcomes, making the tracking of key metrics for blood sugar, blood pressure, body mass index, etc., crucial. Once application program interfaces (APIs) have automatically extracted patient data from clinical documentation, the Clinical Data Connector uses AI and machine learning (ML) to improve data quality and reduce costs for value-based care contracts. It also provides a scalable EMR management solution by eliminating manual data entry.
“More healthcare professionals are seeing the value of AI for applications such as maintaining patient records, and making our Clinical Data Connector available through the athenahealth Marketplace and the Appian AppMarket allows us to deliver the value of AI-powered workflows to more healthcare providers,” says Zameer Rizvi, CEO of Odesso Health. “Applying machine learning to extract clinical data eliminates manual processes and manual errors, freeing more time for clinicians to treat patients. AI is the ideal solution to automate EMR management.”
Odesso’s CDC automates existing manual workflows, no training is needed, and providers can make the most of their current EMR management investment. The CDC can accommodate all types of workflows and be deployed in just a few weeks, delivering immediate ROI and reducing development time by 90%. Automating repetitive tasks, such as maintaining EMRs, has been shown to increase data quality and reduce turnaround time by 70%. The CDC solution is also scalable and integrates with existing data repositories, so no data migration is required.
