How can Health Systems Improve Post-surgical Outcomes with FHIR-enabled Data Activation Platform

Optimizing pre-surgical care procedures to boost patient health outcomes and ROI for health systems

Surgical healthcare expenditures by 2025 are likely to be 1/14 of the US economy. Generally, surgeries are elective instead of emergent and involve high costs and patients with severe illnesses or pre-existing conditions. With this, careful surgical planning becomes pivotal for hospitals and health systems to drive higher value in their operations by delivering quality care and avoiding penalties.

In this paper, we discuss how robust care management and seamless coordination can redefine post-discharge surgery planning and help hospitals increase incentives with better outcomes. We also discuss the key pillars of the ROI framework designed to optimize end-to-end surgical planning for enhanced patient health outcomes.

The whitepaper throws lights on the critical steps to surgical planning with the FHIRⓇ-enabled Data Activation Platform, which includes data integration and activation by analyzing clinical and social factors, execution of machine-learning algorithms to proactively identify high-risk surgical patients, virtual pre-operative interventions and comprehensive engagement for prioritized patients, and patient follow up with pre-built care protocols.

Read this whitepaper to learn about:
How Can Machine-learning Algorithms Help Identify and Prioritize High-cost Patients?

The Impact of Social Determinants of Health on Surgery Planning

Systematic Care Management for Pre-surgical Planning and Post-surgical Recovery

Driving Hospitals’ ROI from Pre-surgical Optimization

The Key Impacts of Surgical Planning on Hospitals’ Operations and Outcomes

Tags: 
Tags: 
REQUEST A DEMO
Accelerate Your Digital Transformation with the Innovaccer Health Cloud
Request a free demo of the #1 healthcare data platform to see how you can improve care quality, patient experiences, and financial outcomes, just like our superhero customers.

errorhi there

errorhi there

errorhi there