CLINICAL APIs FOR HEALTHCARE RISK ADJUSTMENT CODING

Streamline clinical diagnosis coding and documentation with
easy-to-get-started API solutions for healthcare

API

Clinical APIs For Healthcare Risk Adjustment Coding: What you need to know?

Why clinical application for healthcare risk management?

APIs are designed to be easily integrated into existing systems, making it a perfect solution for those who want to improve their current risk management (RA) practices. With API, you don’t need to replace your entire system or change the way you work; instead, you can simply add new functionalities as needed.

Another key advantage of using API is that it allows for seamless communication between different applications and systems. By leveraging APIs in your clinical risk management strategy, you can create a unified system that shares data across multiple platforms and devices. This not only makes it easier to track patient information but also enables healthcare providers to make more informed decisions based on real-time data.

Moreover, APIs provide a secure way to share information between different parties while maintaining confidentiality and privacy regulations. It also reduces the cost associated with developing custom software by providing ICD-10-CM & HCC coders access to pre-built libraries of code.

How clinical APIs are being used in healthcare risk adjustment settings?

When it comes to healthcare risk adjustment, clinical APIs offer a wealth of possibilities for improving patient outcomes and reducing costs. Here are just a few ways that these powerful tools are being used in healthcare settings:

  1. Streamlining data collection: By using clinical APIs to automate the process of collecting patient health information, providers can get a more complete picture of their patients’ health status without burdening them with additional appointments or paperwork.
  2. Enhancing predictive analytics: Clinical APIs can be used to access large datasets of patient health information, which can then be fed into predictive models to help identify patients who may be at greater risk for certain conditions or complications.
  3. Improving care coordination: By sharing data through secure API connections between different providers and organizations, clinicians can work together more effectively to manage complex cases and provide better continuity of care.
Why RAAPID’s clinical API solutions for risk adjustment in healthcare?

HIPAA compliance is a critical aspect of healthcare technology, and RAAPID’s clinical API solutions for risk adjustment in healthcare are designed to meet the stringent requirements of this regulation. By leveraging secure data transmission and storage methods, RAAPID ensures that sensitive patient information remains protected at all times.

What sets RAAPID APIs apart from other risk adjustment APIs is its ability to seamlessly integrate with existing health IT systems, enabling healthcare providers to access accurate patient data quickly and efficiently. This allows for more precise diagnosis coding and improved risk scoring accuracy, leading to better decision-making for care of patients.

Moreover, HIPAA-compliant APIs allow healthcare organizations to securely share data across different platforms without fear of violating privacy regulations. Patient data information security has becomes increasingly important in today’s healthcare landscape, RAAPID’s healthcare API solutions offer a streamlined approach that ensures seamless collaboration among providers and payors while keeping patient privacy at the forefront.

To know more about the benefits and usage of clinical API in healthcare:

Our Risk Adjustment Coding APIs

ICD-10 CM/PCS

ICD-10-CM/PCS

Accurately extract billable
ICD-10-CM and PCS codes from patient encounter documents in real time

HCC & RAF APIs

HCC & RAF APIs

Accurately extract HCC and Risk (RAF) score codes from medical patients' encounter documents and medical claims in real-time

E&M APIs

E&M APIs

Clinical NLP API to identify Evaluation & Management codes and extract them from patient encounter documents

LOINC APIs

LOINC APIs

Clinical NLP API to accurately convert extracted clinical entities into LOINC codes

Named Entity Recognition

Named Entity Recognition

Extract clinical entities, its context and relationship from large unstructured & structured datasets

SNOMED CT APIs

SNOMED CT APIs

Clinical NLP API to accurately convert extracted clinical entities into industry standard SNOMED CT codes

CPT/HCPCS APIs

CPT/HCPCS APIs

Accurately extract procedural terminology codes (diagnostic/medical/ surgical) from the patient document

RxNorm APIs

RxNorm APIs

Accurately convert extracted clinical entities into industry standard RxNorm codes

PHI APIs

PHI APIs

Deidentify personal information as per safe Harbor guidelines and returns PHI redacted data

Custom APIs

Custom APIs

We also develop customized
clinical APIs as per your
custom requirement

Results That Transform Your Performance

Financial Impact

10%+

Revenue & RAF uplift

$2500+

Per member Appropriate Revenue Gain

10:1

Guaranteed ROI
Delivered

Clinical Outcome

10%+

Proactive care reduces
hospitalization/ER visits

4+ Hrs

Weekly hours saved by clinicians
in documentation

60%+

Reduction in chart review time

Compliance

98%

Accuracy with audit-ready documentation support

100%

Evidence-backed code
justification

Who can use our clinical API healthcare solutions?

Clinical AI

For Health Plans

Identify the key risk factors for each patient - such as age, gender, medical history, and current health status - to generate accurate HCC codes and RAF scores.

Clinical AI for Healthcare Providers

For Healthcare Providers

Accurately extract billable codes from patient encounter documents and reduces the risk of errors that could lead to denied claims or reduced reimbursement.

NLP for Risk Adjustment Vendors

For Tech & Service Partner

Enhance ICD-10-CM & HCC coding capacity to ensure identifying all relevant diagnoses and conditions in a given patient population.

Use Cases

Provider.1
Provider

Trained over millions of real clinical notes, our clinical NLP platform has been leveraged to built various last mile applications such as:

  • Computer Assisted Coding
  • Computer Assisted CDI
  • Code Auditing
  • Quality Measures
  • Analytics
C 1
Payor

With our ability to understand & accurately parse unstructured & structured notes, our clinical NLP platform has powered numerous applications for Health plans such as:

  • AI Powered Risk Adjustment Coding
  • Pre Bill Chart Auditing
  • Population Health
  • Prior Authorization
  • HEDIS & Stars
D 1
Pharma & Lifescience

Expedite digital transformation journey by digitizing unstructured clinical notes using NLP. Improve ML, DL and Predictive models by leveraging hidden information trapped into the unstructured text to support use cases such as:

  • Clinical Trials Management
  • Drug Discovery
  • Clinical Research
  • Genome Sequencing
E 1
And Many More

If you are looking to understand the clinical language and parse unstructured texts, accurately and at scale, RAAPID’s clinical NLP APIs can help your growth. Let’s talk!

  • Semantic Search
  • Predictive Analytics
  • Clinical Decision Support
  • Medical cohort Analysis

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