Regional integrated healthcare delivery system serving northeastern Indiana
Lutheran Health Network operates an integrated delivery system across northeastern Indiana with 6,000+ employees, physicians, and providers managing acute care hospitals, specialty facilities, physician offices, urgent care, and outpatient centers. The tech stack reflects clinical operations (PACS, EHR, Athena) layered on cloud infrastructure (AWS EMR), with hiring concentrated almost entirely in clinical and healthcare roles — typical for a hospital network — while active projects cluster around compliance, quality assurance, stroke center accreditation, and infection prevention rather than technology innovation.
Notable leadership hires: Chief Financial Officer, Chief Nursing Officer, Chief Executive Officer, Sterile Services Lead, Finance Director
Lutheran Health Network is a taxpaying integrated healthcare delivery system and one of the largest employers in northeastern Indiana. The organization operates multiple access points including acute care hospitals, specialty hospitals, physician offices, urgent care clinics, and outpatient centers. The clinical footprint supports both direct patient care and regional population health initiatives. Active projects span performance improvement, stroke center accreditation, diabetes education, medication safety, and infection prevention audits, alongside ongoing compliance and quality assurance work. The organization uses Athena EHR, PACS for imaging, and cloud-based tools (AWS EMR) for data operations.
Lutheran Health Network employs 6,000+ employees, physicians, advanced practice providers, and volunteers across multiple access points in northeastern Indiana, including acute care hospitals, specialty hospitals, physician offices, urgent care clinics, and outpatient centers.
Clinical systems include Athena EHR, PACS for imaging, and CMMS for maintenance management. Infrastructure includes AWS EMR for data, Microsoft Office, Google Workspace, and SQL databases.
Other companies in the same industry, closest in size