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CareLaunch Documentation

website·Indexed 31 days ago

https://docs.carelaunch.health

A platform for modern care businesses featuring tools for patient registration, appointment scheduling, and targeted messaging campaigns. The platform includes a FHIR API for accessing ServiceRequest, Task, and Patient data, as well as a configurable notification system, kanban-style task boards, and customizable microsites for branded patient experiences.

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What's inside CareLaunch

  1. Overview of CareLaunch Healthcare Services

    Healthcare Services are FHIR-compliant resources used to define the specific types of care and treatments an organization provides. They allow for the configuration and categorization of services offered to patients and can be associated with specific locations, provider schedules, billing information, and estimated durations for scheduling.

  2. Overview of CareLaunch healthcare-first CRM capabilities

    CareLaunch is a healthcare-specific CRM platform designed to replace generic sales-oriented CRMs. It focuses on coordinating patient care, maintaining strict HIPAA compliance, and integrating with healthcare-specific systems like payers and Electronic Health Records (EHRs). Key value propositions include built-in security for Protected Health Information (PHI), patient-centric workflows instead of sales pipelines, and a unified platform for physicians, nurses, and administrative staff.

  3. Overview of Portal Requests workflows

    Portal Requests enable patients to interact with healthcare organizations through customizable, step-by-step workflows. Each workflow type can have its own sequence of steps, forms, and completion messages. The system includes automatic progress tracking for incomplete registrations, ensuring that demographics, form responses, and uploaded documents are preserved between sessions.

  4. Overview of CareLaunch GTM Infrastructure for Healthcare

    CareLaunch is a composable, HIPAA-compliant platform designed as a 'foundational data layer for care delivery.' It functions as a healthcare-specific Go-To-Market (GTM) infrastructure that integrates care coordination, patient communications, and outcomes measurement. It allows healthcare organizations to launch new service lines, intake flows, and self-pay offerings without requiring extensive engineering sprint cycles or a 'Frankenstack' of disparate tools for chat, intake, scheduling, and reporting.

  5. Overview of the Patient Details component

    The Patient Details component provides a comprehensive view of a patient's record. Key capabilities include:

    • Patient Information: Display and edit basic demographics (name, DOB, gender, creation date).
    • Organization: Data is categorized into tabs: Overview, Tasks, Appointments, Requests, Timeline, Messages, Notes, Observations, Files, Forms, and Billing.
    • Patient Management: Support for tags, star/favorite marking for high-priority patients, and instance management for multi-instance setups.
    • Patient Actions: Ability to run automations, manage campaign opt-outs, and upload files.
    • FHIR Integration: Viewing and editing of various FHIR resources related to the patient.

  6. Overview of AI evolution in healthcare

    The evolution of Artificial Intelligence in healthcare is categorized into three waves:

    1. Foundations and Early Exploration: Post-WWII era focusing on Machine Learning and foundational concepts like the Turing Test.
    2. Expert Systems and Rule-Based AI: 1980s era utilizing rule-based systems (e.g., MYCIN, DXPlain) to mimic human decision-making, though limited by the complexity of managing thousands of interacting rules.
    3. AI Renaissance & ChatGPT: 2010s to present, driven by deep learning, neural networks, GPUs, and transformer architectures. This wave enables natural language processing, predictive analytics, and multimodal data integration (combining text, images, biosensors, and genomics).

  7. Overview of CareLaunch GTM Infrastructure for Healthcare

    CareLaunch is a composable, HIPAA-compliant platform designed as a 'foundational data layer for care delivery.' It functions as healthcare-specific GTM (Go-To-Market) infrastructure, allowing healthcare organizations and digital health startups to manage care coordination, patient communications, and outcomes measurement without relying on fragmented toolsets or extensive engineering cycles. It enables teams to launch new intake flows, self-pay offerings, and outcomes surveys directly within their workflow.

  8. Overview of CareLaunch Reminders

    CareLaunch provides a reminder system for care teams to manage patient follow-ups, appointment notifications, and task deadlines. Key capabilities include creating custom reminders, tracking overdue items via priority indicators, filtering reminders by type/priority/assignment, and automating appointment notifications.

  9. Overview of CareLaunch GTM Infrastructure for Healthcare

    CareLaunch provides a composable, HIPAA-compliant foundational data layer designed for healthcare operations (Care Ops). It functions as a GTM (Go-To-Market) engine that integrates care coordination, patient communications, and outcomes measurement into a single platform. It is designed to replace 'vendor Frankenstacks' by consolidating intake, scheduling, chat, and reporting, allowing healthcare organizations to launch new service lines or intake flows without requiring extensive engineering sprint cycles.

  10. Overview of CareLaunch healthcare-first CRM capabilities

    CareLaunch is a purpose-built CRM for healthcare providers designed to replace generic sales-oriented CRMs. It focuses on coordinating patient care, maintaining strict HIPAA compliance, and integrating with healthcare-specific systems like EHRs and payers. Key capabilities include:

    • Patient-Centric Workflows: Tools for care coordination, referral tracking, and automated follow-up reminders.
    • Condition-Specific Outreach: Patient segmentation based on clinical data and population health indicators.
    • Longitudinal Patient Records: A single platform consolidating patient interactions, care plans, and health data.
    • Unified Team Collaboration: A shared environment for physicians, nurses, care coordinators, and administrative staff to manage the end-to-end patient journey.

  11. Overview of AI evolution in healthcare

    The evolution of Artificial Intelligence in healthcare is categorized into three distinct waves:

    1. First Wave (Foundations): Post-WWII era focusing on the introduction of Machine Learning and foundational concepts like the Turing Test.
    2. Second Wave (Expert Systems): 1980s development of rule-based systems (e.g., MYCIN, DXPlain) that mimicked human decision-making using large sets of rules derived from textbooks and experts.
    3. Third Wave (AI Renaissance): Starting in the 2010s, driven by deep learning, neural networks, GPUs, and transformer architectures. This era enables natural language processing (NLP), predictive analytics, and multimodal data integration (combining text, images, biosensors, and genomics).

  12. Overview of CareLaunch Microsites

    CareLaunch Microsites are implemented as instances within organizations. They allow organizations to create branded experiences with custom URLs, specific feature sets, instance-specific content, and controlled user access and permissions.