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Semantic
Better medical coding and auditing starts with the integration of your data into our AI-powered system. To make that 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. In this blog post, we’ll break down how the Semantic Health Information Platform fits into a hospital’s data pipeline and explain how we make that streamlined integration possible.
The Semantic Health Information Platform has boosted coding and audit efficiency by over 25% at leading hospitals. That success starts with a simple integration process that integrates data from your in-house clinical information systems, in addition to ancillary data sources, to our machine learning platform. Via an HL7 interface, our platform connects directly with your EMR. When combined with ancillary data sources, taken either via flat file or other integration, this results in a single source of truth for HIM professionals.
The initial implementation process takes less than 1 week and results in a simple dashboard with real-time documentation supported by AI coding and auditing suggestions.
The Semantic Health Information Platform integrates within your existing hospital data pipeline and starts ingesting data as soon as a patient is registered. Data is then organized and prioritized for medical coders and auditors to utilize in their workflows in a simple user interface–whether they are looking to save time on current coding and auditing tasks, capture visibility into coded data issues, or drive efficiencies to meet deadlines and deal with high-priority tasks.
One of the most common questions that we receive is “how will the Semantic Health Information Platform integrate in my hospital’s data pipeline?”. Below is a visualization demonstrating this process:
This pipeline exemplifies the three key stages of data in your hospital: data generation through processes like patient registration and documentation after care delivery, data processing through medical coding and auditing, and data use for funding allocations and health system analysis. And, placed alongside the stage markers, the light blue rectangles trace how data is transferred without interruption through the stages.
The key piece of the data pipeline, with respect to the Semantic Health Information Platform, rests with the integration of EMR data and ancillary data sources into our platform. Our proprietary approach to this integration requires multiple steps of variation management that ultimately enables us to standardize the ingestion of all data, regardless of EMR, and enable our machine learning algorithms to work. In addition, this standardization practice ensures that the lessons learned at one hospital site can be easily and quickly transferred to other sites.
After data is processed by coders and auditors, in the Semantic Health Information Platform, this data can then be seamlessly pushed to your abstracting or billing software. You and your team can avoid needing to input data in one more place. With this smooth process, the Semantic Health Information Platform is able to support optimized coding and auditing processes to drive efficiencies and source opportunities within funding allocation and health system analysis for secondary use.
The Semantic Health Information Platform functions using Semantic Coder and Semantic Auditor. Semantic Coder is able to suggest ICD-10-CA and CCI codes, with reference to clinical documentation, while also learning from coders as more data is ingested and feedback is offered. AI-assisted medical coding uses deep learning and natural language processing (NLP) to accurately analyze clinical information and suggest codes based on the context.
In parallel, Semantic Auditor uses AI-powered auditing algorithms to streamline data quality audit processes by reviewing 100% of coded data and catching common errors that are often missed in manual, random-sampled audits. These opportunities are then flagged for your team, in a concurrent manner, to be actioned upon. These algorithms are especially helpful because they can be trained or tuned on existing and retrospective hospital data to considerably reduce deployment time and improve efficiency.
The Semantic Health Information Platform is at the forefront of improving and easing the workload for HIM teams by optimizing for better quality data in current coding and auditing processes. At the forefront of this change is the platform’s seamless integration within a hospital’s data pipeline and HIM workflows. The platform is a single source of truth for all the relevant data that coders and auditors need, prioritized to help support their efficiency and effectiveness.
The platform can effectively flag key issues and uses the latest technology to ease the current workload for medical coders and auditors. Our deployment process has resulted in integrations at leading hospitals to capture accurate data that our platform can effectively and accurately present to coders and auditors. As a result, outcomes have captured a 25% coding efficiency gain and a 2-3x faster year end audit process, while identifying more data quality opportunities than in current processes.
How are you currently driving improvements in your HIM workflows?
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Semantic Health helps hospitals and health systems unlock the true value of their unstructured clinical data. Our intelligent medical coding and auditing platform uses artificial intelligence and deep learning to streamline medical coding & auditing concurrent with patient admission, improve documentation quality, optimize reimbursements, and enable real-time access to coded data for secondary analysis.
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