Stedi Integrations

Holly AI Operator: AI Receptionist & Patient Scheduling Platform Built for Healthcare Providers Holly is an AI Operator that works as a patient scheduling platform and AI receptionist, using conversational AI to automate patient communication and front-desk workflows by managing your EHR, CRM, and payment platforms based on your know-how and specialty best practices. The result is a better patient experience, happier staff, and measurable revenue growth. ● Incremental revenue: Capture new patients and keep schedules full. ● Front desk efficiency: Reduce manual work and prevent staff burnout. ● Patient engagement: Improve treatment adherence, care outcomes and loyalty. ● Cash flow optimization: Improve claim accuracy and payment collection. Free Pilot Available: Go Live in Days ● No apps to manage ● No staff training ● Seamless patient adoption

JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language Standard ECMA-262 3rd Edition - December 1999. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language. JSON is built on two structures: 1. A collection of name/value pairs. In various languages, this is realized as an object, record, struct, dictionary, hash table, keyed list, or associative array. 2. An ordered list of values. In most languages, this is realized as an array, vector, list, or sequence. These are universal data structures. Virtually all modern programming languages support them in one form or another.

Morf Health is an AI-powered workflow automation and patient engagement platform designed to help healthcare practices streamline operations, synchronize data across systems, and deliver personalized patient communication at scale. It acts as a central integration layer that connects existing tools such as EHRs, scheduling systems, billing platforms, and CRMs, allowing patient data to flow seamlessly between them while maintaining a unified and reliable source of truth. It enables practices to automate key workflows such as patient onboarding, intake, eligibility checks, appointment scheduling, reminders, follow-ups, and billing notifications, reducing manual administrative work and improving operational efficiency. Morf uses triggers and actions to automate processes, for example, automatically creating patient records or sending reminders when forms are incomplete, without requiring manual input or engineering resources.