Interoperability

The COVID-19 pandemic has accelerated healthcare’s labor shortage, with workers feeling increasingly dissatisfied. Leveraging AI and predictive data can help healthcare organizations make better hiring decisions to build more agile and resilient workforces.

Because of mergers and acquisitions, a large, multi-state integrated healthcare provider network was left with data in many overlapping systems. This created data silos and increased maintenance costs and risk of ransomware attacks. The network turned to Flatirons Digital Innovations (FDI) to decommission legacy applications and archive their data. FDI helped them save an estimated $5 million over a 10-year period.

During the COVID-19 pandemic, health systems were forced to reevaluate their procedures, which presented an opportunity to increase efficiency in all aspects of their operations. Lessons taught by the pandemic can help health systems eliminate inefficiency and reduce operating costs while increasing quality of patient care. Using portable technology and AI-enabled applications along with management of patient data, providers can make more informed clinical decisions for better patient outcomes.

An API built with the developer in mind helps get to market quicker while cascading through payer doorways. This webinar explores how fast MBI capture streamlines healthcare complexity for customers with powerful applications that save time and increase revenue.

With an intelligent, unified API, customers can utilize an all-access pass to claims and eligibility. Eligibility checks become more fluid when one superset of data is sent to all payers, and these applications help streamline workflows, save time and increase revenue.

The following whitepaper describes a six-year analysis of infusion pump failure reporting among leading manufacturers to help expand understanding of the issues that continue to compromise infusion pump safety.

Manufacturer-enabled smart labels with RFID tags can help healthcare organizations track drug inventory and reduce medication errors.

As the healthcare industry faces pressure to deliver better results with fewer resources, big data presents unique opportunities and challenges in improving efficiency and patient outcomes while reducing costs. Using big data, including data from wearable devices, as well as AI tools can help healthcare organizations deliver patient care more efficiently and at a lower cost.

CPT Code 99543, the code for Remote Patient Monitoring, comes with its own set of rules and qualifications that clinicians need to know. Here’s your guide to what devices and services are covered, as well as how to bill correctly under the code.

Due to the COVID-19 pandemic, the Centers for Medicare and Medicaid Services (CMS) have expanded the kinds of clinicians who can bill for Remote Patient Monitoring (RPM). Since medical providers can now conduct RPM without an initial new patient visit and evaluation, your practice can benefit from introducing these new devices and billing with the correct CPT codes.