Clinical data reporting is a process that often gets overlooked in the world of healthcare, but it’s an important aspect that bears weight on the sides of both healthcare providers and patients. It aids in operational efficiency and proper administration of services for the former while ensuring accurate diagnosis and safety for the latter.
Proper clinical data reporting, including clinical data extraction, is important in addressing multiple healthcare-related challenges (for instance, it’s key to closing HCC coding gaps). In this guide, we’ll explore what clinical data reporting entails, why it’s important, and the steps to do it effectively.
‘Clinical data’ refers to information that’s sourced from different clinical, financial, and administrative systems such as electronic healthcare records (EHRs), clinical diagnoses, billing and claims records, family histories, prescriptions, etc. It’s used to determine a patient’s health conditions, as well as predict future related outcomes, patient risk factors, and treatment strategies.
Clinical data reporting is a process under data management that entails the collection, organization, analysis, presentation, and dissemination of clinical data gathered from various sources. It’s done to achieve accurate facts about patient health and enhance workflow productivity in healthcare operations.
Clinical data reporting is more than just data gathering. With clinical data reporting, along with proper diagnosis coding, providers can render better services and eliminate inefficiencies in their workflows. Here are some reasons why you shouldn’t overlook clinical data reporting:
Clinical data reporting can help you employ predictive analysis and improve the overall delivery of care. With the right practices and tools, you can collect and use past and current data to anticipate potential medical risks and proactively prevent them, making better use of your resources and preventing patients from dealing with severe outcomes.
The answer to most diagnostic queries lies in patient information. Clinical data reporting gives you access to data that you can use to address gaps in performance and optimize patient care. You can also use the information to make important decisions about healthcare operations.
Clinical data reporting doesn’t just deal with patient information. It also touches on facility and clinician data, which can be used to provide feedback to staff and improve workflows and performance. Having efficient staff is a great way to enhance patient care and keep people motivated to deliver the highest standards of care.
Clinical data reporting can give you an insight into operation metrics that correlate to your daily expenses. You can use it to keep track of your finances and streamline your budgeting. This way, you can reduce operational costs without compromising operational efficiency.
Clinical data reporting starts with proper data extraction. Collecting complete and accurate data is crucial in ensuring that all reports can produce valuable insights and reports.
Healthcare practitioners should be meticulous in gathering and recording clinical data, and the best way to minimize errors is to employ data extraction technology like Ubiquity by Inferscience. Tools like this don’t only access data from multiple sources to capture a more well-rounded view of information–they can analyze data and present them as hierarchical condition categories (HCC) coding suggestions for relevant use.
Ubiquity by Inferscience is designed to aid healthcare providers with clinical data extraction and reporting for HCC coding. By implementing the technology into your workflows, you can submit HCC codes to the patient’s chart in EHR.
This way, you can accurately anticipate the future financial resources for your healthcare organization and forestall correct reimbursements, as well as assess anticipated costs and reimbursements you and your Medicare beneficiaries receive. Reach out to Inferscience today for your free demo!
References:
https://guides.lib.uw.edu/hsl/data/findclin
https://www.ghp-news.com/an-overview-of-the-clinical-data-reporting-process/
