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Medical Coding
Leveraging the benefits of well-trained & accurate data to facilitate efficient Medical Coding
Medical Coding Automation improves the daily work of billing and coding teams. Automating routine tasks prone to human errors eventually results in error-free data sets which enhance overall capabilities and effectiveness.
Seamless Data Annotation & Labeling for AI Medical Coding
Healthcare providers code medical records every time a patient pays them a visit. During a doctor’s appointment, the healthcare provider reviews patient’s complaint and medical history, determines the cause of illness, and treats them accordingly. The healthcare provider prepares the expenses bill based on that documentation, which serves as more than just the patient’s clinical record.
- An assessment of the patient’s condition
- The patient’s treatment, service, or supply was medically necessary
- A medical condition or unusual circumstance that affected those treatments and services
The documentation is converted into standardized medical codes that inform payers:
Automation in Medical Coding & Billing
Considering the huge volume of medical data generated regularly, manual medical coding is deemed to be a taxing and cumbersome process. There is an ever-increasing demand for innovation in healthcare where AI occupies an eminent position. An automated billing system will handle every aspect of medical billing that would be tedious to a human.
Annotated Data enriches the process of AI Medical Coding?
Well-refined, rich, and accurate annotated data is the fuel that ensures AI engines function optimally.
Efficient medical coding depends on the quality of annotated and labeled data provided to the AI & ML models.
How Cogito’s Data Annotation Services augment Medical Coding?
Eliminate bottlenecks in Data Annotation & Labeling with well-refined trained data to expedite AI-backed medical billing
Our team of expert data annotators at Cogito provide fast and accurate text, image, audio, video, & waveform annotation & labeling services. Deep understanding of medical terminology results in accurate data annotation which augments and improves the performance of AI engines and/or algorithms. With an established infrastructure, Cogito collects, classifies, and processes healthcare training data with the highest level of quality and accuracy.
Leverage our gold-standard custom end-to-end medical data annotation solutions to train AI/ML algorithms which facilitates automation of a plethora of tedious and repetitive tasks such as:
- Invoice processing
- Preventing underpayments
- Insurance Payment Processing
- Scheduling Patients’ Appointments
- Tracking and Processing Claims
- HIPAA pertaining processes to ensure compliance
Global Standards of Medical Coding that we follow:
IDC 10
ICD-10 is the 10th edition of the International Classification of Diseases, a medical coding system developed by the World Health Organization and used to categorize health conditions by categories of almost similar diseases to produce more precise listings. Cogito follows the IDC -10 protocols to facilitate improved data capture for measuring and tracking clinical conditions for patient care and billing.
CPT
CPT or Current Procedural Terminology is an expansive code set published and maintained by the American Medical Association (AMA). Our experts at Cogito utilize CPT codes to describe surgeries, tests, evaluations, or any other healthcare-related procedure performed by a qualified clinical facilitator.
SNOMED
SNOMED CT is a standardized multilingual vocabulary of medical terminology used for electronic exchange of clinical health data. SNOMED CT presently has more than 300,000 medical concepts which are divided into many hierarchies like geographical location, clinical reports, body types & structures, and pharmaceutical products. We at Cogito are experts at using the exact numbers that represent medical concepts and can be consulted by healthcare professionals to reach a conclusion.
RX Norm
RxNORM is a standard for Global Health Information System for drug vocabularies and normalized names for clinical drugs management. Our experts at Cogito know how to abide by the RX Norm standard and identify medical products.
UMLS
The Unified Medical Language System (UMLS) is a collection of several controlled vocabularies in biomedical sciences which provides a mapping structure facilitating translation of vocabularies in a desired language. At Cogito, we stick to the UMLS norms which ensures efficiency and accurate data.
Medical Coding – You Can Trust
Our experts at Cogito provide rich, well-trained, and accurate data required to train AI & ML models.
Domain Expertise
Subject matter experts with years of experience in medical data annotation ensure accurately labelled datasets
End-to-end Data Security
Ensure compliance with HIPAA by maintaining strict data security and confidentiality policies
Quick Turn Around Time
We provide fast and accurate annotations through manual and AI-based methods with 1500+ data and industry experts on board
Quality & Accuracy
Data is audited and reviewed multiple times to ensure it is of the highest quality and accuracy possible