Develo has built a full-featured EHR and customer relationship management (CRM) for pediatrics, encompassing core scheduling, clinical, and billing workflows along with family engagement capabilities.
(5 minute demo)
Outpatient pediatrics is uniquely family-centered, longitudinal care-driven, and high volume, with distinct well child check-ups and payor mix that is different from other specialties. Accordingly, the Develo product is beautifully designed with much attention to the nuances that matter to their core independent pediatric practices market.
(A beautiful pediatric growth chart)
Develo has built a full stack solution with key innovations around automating family engagement, reducing administrative tasks, and AI-assisted documentation.
(Intuitive patient intake)
They rapidly release new capabilities and take a comprehensive, end-to-end approach to build a full operating system for pediatrics, rather than just optimizing a narrow set of provider workflows.
Develo EHR is FHIR native and built on Medplum using the following features:
Multi-tenant: Develo customers have separate datastores using Medplum projects.
This application is an example of a software company, using Medplum to build a custom EHR that delights pediatricians, patients, and families alike. Some screen shots of the applications are shown below.
(Even the billing experience shows attention to detail)
Medplum’s Open-Source FHIRcast Hub Enables Rad AI Omni Reporting's Interactive Measurements
Radiology is a bellwether for innovations in Healthcare IT due to the time-sensitive and data-intensive workflow. Naturally, radiology applications lead the way in adopting real-time functionality like FHIRcast, a WebSockets-based protocol that enables development of highly interactive applications.
Let’s consider an example: a radiologist makes a tumor measurement from a PACS workstation; that measurement can be sent in real-time to the FHIRcast hub as an event. The event is then forwarded to the radiologist’s report editor, where a context-aware description is automatically filled in describing the tumor findings, all without the radiologist ever needing to touch another application or do dictation.
Proprietary notification systems are a walled garden, and make it difficult or impossible to build highly ergonomic applications. An open-source FHIRcast hub is a foundational community asset, as developers and vendors can focus on building integrations rather than the plumbing. Open source provides a lot of flexibility for prototyping, testing and integrations across organizations.
Integration is a thorny problem in healthcare overall, and the adoption of standards has been a key tool in allowing system interoperability. Specifically for FHIRcast, a reference implementation that partners can prototype against and use without restriction will increase quality and speed of integration.
Rad AI is excited to use open source FHIRcast for context syncing and data passing with our imaging and worklist partners. Having an open-source, standards-based FHIRcast hub lowers the barrier of entry for products to work together.
Rad AI is the fastest-growing radiologist-led AI company. The company was recently listed on the CB Insights’ Digital Health 50 as one of the top privately-owned companies using digital technology to transform healthcare, Digital Health 150 as one of the most innovative digital health startups, and AI 100 as one of the world’s 100 most promising private AI companies. Rad AI won AuntMinnie’s “Best New Radiology Software” in 2023 for Omni Reporting and “Best New Radiology Vendor” in 2021. In 2022, Black Book ranked Rad AI #1 in Mean KPI score on its survey of 50 emerging solutions challenging the healthcare technology status quo.
Founded in 2018 by the youngest radiologist in U.S. history, Rad AI has seen rapid adoption of its AI platform and is already in use at 8 of the ten largest private radiology practices in the U.S. Rad AI uses state-of-the-art machine learning to streamline repetitive tasks for radiologists and automate workflow for health systems, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care.
Continuity of care is broken because practices rely on fax and paper referral workflows to send patients to specialists. It is unrealistic to expect practices to change their systems, but patients need referrals and practices want to process them faster and capture all of the incoming clinical data without manual data entry.
Titan provides a novel solution that leverages large language models (LLMs) to normalize unstructured referral data to FHIR, and gives practitioners and staff a button to synchronize data to their EHR (Cerner and others) via FHIR API. This saves manual work by staff and helps patients track the status of their referral. To lighten provider load, the Titan Intake app automatically synchronizes FHIR data to enable faster and more complete chart prepping.
In addition, as part of the intake process, Titan’s Natural Language Processing (NLP) engine detects and predicts the presence of Hierarchical Classification Codes and Elixhauser Comorbities to help both health systems and payors measure and receive reimbursement for the health of their patient populations. These are added to the FHIR Resources as CodableConcepts.
Enterprise Master Patient Index (EMPI) - As part of their EMPI implementation Titan checks and deduplicates patients, to prevent the fear of hospital IT - that an integration will introduce duplicates into their system and disturb their reporting and workflow.
Interoperability Service - From their web application, Titan triggers data synchronization into many downstream EHRs like Cerner, NextGen and others. This uses the Medplum integration engine a natively multi-tenant system that is very scalable and they serve many providers on the same technical stack.
Extracting data from documents/PDFs and structuring the data as FHIR is a very difficult technical problem. The team employs use of LLMs and modern artificial intelligence techniques to structure and tag the data with code systems.
Due to the nature of referrals, with a single patient being sent to many different institutions, duplicate Patient resources immediately become an issue. The team built a FHIR native Enterprise Master Patient Index and deduplication pipeline to support this use case.
Synchronizing to many downstream EHRs, like Cerner and Epic on an event driven basis is difficult because each EHR has slightly different conventions and requirements to accept data.
Summer Health is an innovator in direct-to-patient pediatrics, with a focus on messaging and mobile access for parents via SMS. Their fast growing practice is available nationwide and is known for excellent patient engagement.