
Enhancing Risk Scoring Accuracy for ACOs: A Comprehensive Series
In the ever-evolving landscape of healthcare, a shift towards value-based care models has brought Accountable Care Organizations (ACOs) to the forefront of healthcare delivery and reimbursement reform. But what exactly are ACOs, and why are they important? This blog post series will detail a project we undertook to enhance risk scoring accuracy by leveraging both Centers for Medicare & Medicaid Services (CMS) claims data and the organization's Electronic Health Record (EHR) system.

Plotly Dash vs PowerBI: Which one is better for healthcare applications?
In the realm of data visualization and business intelligence, choosing the right tool can significantly impact how effectively data insights are communicated and presented. This blog post will share experiences building a dashboard for medical center encounters using two popular platforms: Plotly Dash and PowerBI. The goal is to provide a comprehensive comparison based on practical experiences to help you decide which tool might be best for your needs.

Automating and Standardizing Care Gaps from Payers to Providers
In the complex world of healthcare data management, standardization is key to efficient operations and improved patient care. We’re excited to share a project that addresses a common challenge in the industry: the inconsistent formats and naming conventions of patient care gap files from various payers. Our open-source Python-based ETL (Extract, Transform, Load) solution aims to standardize these files into a uniform, easily consumable format.


