Watch Orchard Software's webinar on the complexities of COVID-19 testing and the urgent need for fast, accurate results. Learn strategies to enhance testing efficiency in your lab.

Explore Orchard Software's white paper on the Total Cost of Ownership (TCO) for a Laboratory Information System (LIS). Gain insights to make informed decisions for your lab.

Learn how Clearview Cancer Institute enhances compassionate cancer care with Orchard Software’s System Administration team. Explore our case study showcasing innovative solutions and dedicated support that improve patient experiences and operational efficiency.

From a reimbursement perspective, Orchard Point-of-Care’s capability to automate POCT billing and help close care gaps using CPT II Codes makes the solution applicable for both fee-for-service (FFS) reimbursements and for value-based or performance-based contracts.

Learn how Orchard Point-of-Care acts as a bridge between fee-for-service (FFS) and value-based reimbursements. Explore its role in enhancing patient outcomes and operational efficiency.

Read our latest Employee Spotlight on Karen Abara, Manager of Field Operations at Orchard Software.

In a significant development for clinical laboratories, a federal district court has vacated the U.S. Food and Drug Administration (FDA)'s final rule on laboratory-developed tests (LDTs).

Orchard Software celebrated the company's 30th Anniversary by hosting a Fall Party at the Children's Museum of Indianapolis.

Discover key insights from a recent poll highlighting the major challenges faced by point-of-care coordinators. This infographic from Orchard Software sheds light on the obstacles these healthcare professionals encounter and the impact on patient care.

Join our webinar to explore Orchard Software's exceptional support and customer care services. Learn how we prioritize your success and ensure seamless LIS operations.

Meet Kelly James and learn about her role, experiences, and contributions at Orchard Software in our latest Employee Spotlight feature!

Artificial Intelligence in the clinical laboratory has great potential for improving patient care and operational efficiencies. From scanning radiological and pathology images to predicting outcomes from medical data, AI tools can rapidly analyze large data sets and identify patterns for diagnoses and therapy.