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5 posts tagged with "case-study"

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· 2 min read
Cody Ebberson

Darren Devitt, a respected FHIR expert, has recently released an alpha version of a new tool called Vanya. Similar to how Postman functions for API requests, Vanya is designed specifically for browsing data on FHIR servers.

I've taken some time to test Vanya with Medplum's FHIR server, and I want to share the setup process, some tricks I've found useful, and a brief overview of my experience.

Setting Up Vanya with Medplum's FHIR Server

If you've decided to give Vanya a try, here's what you need to know to get it running with Medplum's FHIR server:

FHIR Base URL

You'll need to input the FHIR base URL, not just the server base URL. Remember to include the "fhir/R4" path. For example, when using the Medplum Staging server, I used the full URL "https://api.staging.medplum.com/fhir/R4".

Authentication

Vanya requires authentication as an HTTP header. For my testing, I used a "Basic" auth header created using the client ID and client secret.

You can use a tool such as DebugBear to generate a Basic auth header from a client ID and client secret.

Or, if you prefer, you can use the OAuth2 client_credentials flow with the client ID and client secret to get an access token. See our guide on Client Credentials for step-by-step instructions.

Once you have a Basic auth token or a Bearer token, add it to the Vanya HTTP headers:

Enter Vanya auth header

Using Vanya

Once you've set up these parameters, you can start using Vanya to browse through different types of FHIR data on the Medplum server.

Vanya client screenshot

Wrapping Up

Vanya is still in its alpha stage, and there's a lot to look forward to as it continues to develop. However, even now, it offers a useful tool for browsing FHIR data. I'll be keeping an eye on the tool's progress, and I'll share any important updates here.

Give Vanya a try and let us know about your experience. If you have any questions or need help with the setup, please join our Discord!

· 3 min read
Reshma Khilnani

(2 minute demo)

Introduction

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.

Medplum Solutions Used

  • Custom EHR - The Summer Health custom EHR allows providers to respond to patient messages, enables task management and automation, and has AI-assisted encounter documentation.
  • Patient Portal - The patient experience includes the ability to reach pediatricians via messaging, and to view information across web and mobile devices.
  • FHIR API - with all data being natively stored as FHIR, enabling synchronization through a FHIR API to Google BigQuery allows robust analytics and visibility into operations.

Challenges Faced

The unique nature of the Summer Health offering necessitated custom software development, specifically:

  • Messaging-based workflows are convenient for users, but require aggregation, careful data extraction and synthesis to be actionable for providers.
  • Pediatrics requires complex access control patterns because patients are children and multiple caregivers are creating and accessing data on their behalf.
  • Timeliness and tasking are crucial and providers and staff respond in a timely manner to patient inquiries.
  • Mobile access with single sign on for clinicians who primarily administer care through mobile devices. This was a key pain point with other solutions.

Why Medplum?

Medplum stood out for the following reasons:

  • Complete control over the user experience, reducing burden for the providers.
  • Identity management and access control allows caregivers to access records.
  • Unlimited and flexible integrations, and ability to build them as needed without restriction, including streamlined incorporation of cutting edge technologies like LLMs.

The team completed their initial build in 16 weeks.

Features Used

The following Medplum features were used to build this product.

  • Integrations - notably Medplum's integration framework and tools made it easy to integrate BigQuery and LLMs.
  • Google Authentication and External authentication - Summer Health uses multiple identity providers for practitioners and patients respectively.
  • Access policies - Patients are children, so parametrized access policies support parent and caregiver access.
  • Subscriptions - integrations to data warehousing and other applications are powered by event driven notifications
  • FHIR Datastore, specifically family relationships and GraphQL allow for medical records that incorporate sibling and family member context
  • Charting and Task Management - encounter documentation and tasks are featured in the application and major drivers of the workflow.
  • Bulk FHIR API to support reporting and interoperability with other systems.

· 4 min read
Reshma Khilnani

(2 minute demo)

Introduction

EnSage, is an innovator in healthcare management, improves outcomes for elderly populations in value-based care (VBC) organizations. Their service automates the acquisition of patient data from multiple sources and performs data-driven risk-scoring on each patient. The risk scores then aid the care team in scheduling check ups for the highest risk patients first. It also facilitates sharing these risk profiles with their Primary Care Providers, enabling high fidelity care coordination across institutions.

Medplum Solutions Used

In this project, EnSage utilized two Medplum solutions.

  1. Custom EHR: A health record application specifically tailored for EnSage practitioners. This provides healthcare professionals with vital data at their fingertips.
  2. Provider Portal and FHIR API: An application for referring physicians to access and contribute to the integrated care management, but ensures they only have access (via API or app) to patients under their care.

Challenges Faced

EnSage overcame significant technical challenges in this project, including the need to aggregate data from a wide array of sources such as claims data, CMS datasets, and more. Additionally, they required a bespoke workflow that incorporated case management across multiple organizations that necessitated sophisticated access controls.

They completed their initial build in 16 weeks.

Why Medplum?

Medplum stood out due to its out-of-the-box auth service that supports cross-organization access. Its ability to build high-fidelity custom integrations quickly also proved invaluable in overcoming the challenges of collecting and synchronizing data from multiple sources.

The FHIR data model also proved valuable, as a well documented data model supported by EHRs aligned stakeholders quickly.

These factors allowed EnSage to focus on what was most important: their risk scoring algorithms and the clinician experience.

Features Used

EnSage leveraged a suite of Medplum features to create a comprehensive and efficient solution:

  1. Authorization: by leveraging Medplum sophisticated access control system, the EnSage team was able to expose the Medplum FHIR API directly to client applications and external partners, without the need to encapsulate it behind a gateway / proxy.
  2. Authentication: Multiple authentication providers were utilized, with the EnSage team using Google Authentication, while referring physician identities were managed in an Auth0 tenant.
  3. FHIR Datastore: All data is stored in FHIR format and is accessible via the FHIR API. This provides a standardized approach to storing and accessing health information.
  4. Subscriptions: In this implementation, in response to questionnaires, subscriptions are triggered, setting off automated workflows like notifications, data synchronization and more.
  5. Scheduling: Integration between Acuity and FHIR Schedule provided a robust solution for managing appointments and optimizing healthcare service delivery.
  6. Charting: A system for documenting encounters, including details like CPT and diagnosis codes, was created. This facilitated a comprehensive and precise record-keeping process.
  7. Billing and Revenue Cycle: An automated integration with Candid Health enabled Medicare (CMS) billing for providers on the platform.
  8. Open source: The development team used Typescript for the entire stack. The Medplum open source code, issue tracking and community features helped streamline development and speed learning.

Below is an architecture diagram showing how the different components fit together.

Ensage system diagram Click to enlarge

In conclusion, Medplum was instrumental in providing the tools and support needed to address the complex challenges faced by EnSage. The result is an efficient, patient-centered system that ensures proactive care for elderly populations in value-based care settings.

· One min read
Reshma Khilnani

Introduction

Ro, is an innovator in direct-to-patient healthcare services, provides patient centric healthcare services nationwide.

Medplum Solutions Used

  1. Lab Network - sending lab orders and receiving diagnostic reports across lab sites
  2. Provider Portal and FHIR API - allow data access with controls, to practitioners and applications

Challenges Faced

Ro, and their diagnostics arm Kit.com enable a sophisticated nationwide diagnostics service, that includes touch points across clinical teams, shipping and logistics, laboratory sites and customer success.

The workflow requires tight coordination and real-time synchronization between many systems and applications.

· 10 min read
Reshma Khilnani

Codex Health enables health systems manage their patient populations with effective remote patient monitoring (RPM) programs for diabetes, cardiovascular diseases and more.

Their offering has a patient facing experience, a provider experience and EHR integrations with Epic, Cerner and others.

They read and write data from EHRs, and collect data from medical devices like CGM, scales and blood pressure monitors.

Challenging the Status Quo

Historically, services like Codex would have had to connect to EHRs using some combination of system integrators or HL7 V2 over VPN connections which is painful, brittle and costly.

With the roll out of the Standardized API for Patient and Population Services (g)(10) by major EHR platforms like Epic and Cerner they are able to connect to multiple health systems via REST based FHIR APIs, without third party aggregators or VPN Connections.

The "old" way of connecting

(Above) The "old" way of connecting an application to an EHR

The new way of connecting

(Above) The new (g)(10) based way of connecting an application to an EHR

This standardized interface allows Codex to provide RPM programs with no setup cost.

The (g)(10) API is very powerful, as it has build in support for access controls using SMART-on-FHIR oAuth Scopes, enabling:

  • Provider Access - allowing Codex physicians and staff to access demographic data, diagnostic reports and notes for patients under their care.
  • Patient Access - patients can auth in the Codex application and read and write their own data to their record, without need for IT approval.

This scalable approach allows the Codex team to focus on their service, and not on integrations.

Using Medplum

Codex uses Medplum as part of their software development cycle, because Medplum is an open source implementation of the (g)(10), and so from a developer perspective is the same as Epic, Cerner or others, but with robust tooling and configurable permissions. This streamlines the Codex's teams software development lifecycle and their testing across platforms and products.

This standardized interface driven approach allows them to deliver their two solutions:

  • Foresight - an analytics and case management web application for clinicians, that helps them view and manage their patients care
  • Allie - a patient facing application that runs on iOS and Android that allows patients to view their care plans and take action.

Interview with Codex Engineering

Below is a brief interview with the Codex engineering leadership Zane Silver and Yury Staravoitau, about their EHR integrations the transcript is edited for clarity.

Video - 7 mins 51 seconds

Background (Zane): Let me just give you quick refresher of what we're doing here at Codex.

So we're building a remote patient monitoring platform a software solution as well as professional service on top of that. So we sell directly to healthcare providers or DMEs durable medical equipment manufacturers. And they can use our platform to monitor patients remotely if any diseases we connect over Bluetooth.

We have native (iOS, Android) applications, connects over Bluetooth to various blood glucose meters scales, blood pressure monitors. We also do cloud connections for like Dexcom and Freestyle Libre and other CGM devices. A clinician, either at a hospital system or a doctor or technician, might use our platform to be able to monitor or they can out outsource that to us.

We have a licensed disease educators for heart failure, diabetes that we can monitor the patients for them as well. Our internal educators use the same product that we also sell as a platform to the healthcare providers. We integrate directly with EHR systems for those hospital systems, either being able to read or write results back.

So sometimes blood glucose meter results are required in the EHR system, so we do that. We use Medplum as a testing ground and staging ground to make sure that we can properly read and write as well as be able to pull new types of resources records from the healthcare provider themselves.

At this point, a dozen to, well, half a dozen different types of EHR systems: Meditech, Hilo, Epic, Cerner, and others.

We use a multi-tenant system. And so each multi-tenant itself will have its own set of EHRs that's integrated and they're totally isolated across tenants. We are testing connectivity and correctness and being able to pull in those records there.

EHR systems quickly either throttle or crash. So we, we pull in batches and we kind of basically do periodic syncs and then try to do writes in real time.

Question (Reshma): How does it work end to end?

Yury: A patient, selects Medplum as healthcare provider login using the account. And authentication that we put that in the background request EHR system to, to grab some data for this user and update our database, get the refresh token, and on a daily basis, we request some updates using this user by ID for example.

Zane: We integrate with EHR systems, right? Yeah. So we wanna be able to test against EHR systems. And because Medplum is an EHR system with also write access, we can test whether or not we can write records and be able to see that as well as manually write records outside of our application.

Make sure we were able to read those as well. You can't do that unless you're actually doing it on a real EHR system. And we can, but not all of our customers have partnerships where they actually allow us to be able to test on their production systems.

We're remote patient monitoring, so we get (FHIR) Observations (from the customer EHR).

The big part it's missing in terms of the spec is just callbacks and being able to get asynchronous updates.

So moving from an event based versus a pull based system. The pull based system is like much more scalable operationally for us. So we don't have any kind of third party dependencies.

I think for the most part they (providers) prefer it because there's fewer integration points. They turn on the endpoint and give us, our credentials and they're just ready to go. We don't have to, you know, do any back doors connecting directly to their databases or anything like that.

So observations came as from our applications that can be connected to via some devices or, for example, we have dramatic error device that I testing for my blood, blood glucose. Or it can be from EHR system.

I'm happy to talk or, you know, feel free to put us, you know, connect us to anyone you feel like I might be interested in and we're happy to also help out and share any of our learnings and thoughts too.

Question: Can you do a day in the life for me about when you're talking to the provider and you're engaging their IT to get this kind of access, what the process looks like?

Yeah, it's more of a, I would say like a long engaged relationship in terms of actually getting like the direct access to write and read from systems to system.

Obviously, with ONC and data blocking, we can connect with the provider on our own. We don't coordinate with them to do that in terms of just getting patient consent to read their (FHIR) resources. So that's easy if we do that on our own. And then it just takes a little bit of time and talk to the right stakeholders.

The healthcare provider side, find out who the IT team is, get the right people in there and make sure we go through their security reviews. At that point, basically there's, each of the major healthcare providers have their own app portal. So we create an app portal on there. We usually end up giving the healthcare provider what our app ID is, whether it's, you know, app Orchard on Epic.

Cerner has their own developer portal too. Give that to them and then basically they download the app into their system. I don't have any visibility into what that looks like. There says admins do that. And it's usually like a, it takes about 24 hours for that to happen for them to pull it in and then we get their endpoint and it just seems to work for us on that side.

Reshma: So you download their app, but like they're not using the traditional SMART-on-FHIR kind of app machinery. It's more that. You're now eligible to get the credentials that you need to connect server to server?

Zane: That is true. Yeah. We, we can use it in terms of if SMART-on-FHIR to be able to do our launch and they do have to have, you know, download the app there.

But the (Codex) app type is different. So instead of it's a clinician facing app, which is system facing app. So they, the app store kind of on their part, they (provider) have the dropdown that they choose how they want to install it, and it gets installed in their system.

Seems, seems great and it's a lot more scalable in terms of how you can write your application once.

And you don't have to have a custom footprint or like dedicated boxes or instances for each provider.

Our integration costs are very low, so we don't really even, we don't charge in a new integration or onboarding fees or anything like that for a new customer.

Question (Reshma): Are you continuing to roll it out or working on more of the depth scenarios within systems?

I think it's more of just getting more breadth with more provider systems on there. You know, even just this morning we tested Hilo and Meditech, which are two different EHR systems and just getting verified all those seems to work out of the box quite well, which is nice.

Question (Reshma): So anyone with a (g)(10) right? A (g)(10) FHIR implementation?

Zane: Yep.

Reshma: Awesome. It's a great story. It's a great, great story and all the FHIR enthusiasts would be excited.

How It Works

Medplum Client Typescript SDK can be used to connect to the EHR in multiple modes, such as Patient access, oAuth and Basic Auth.

For example use the MedplumClient to connect to another FHIR server from a Bot or other application that has the Medplum client as follows (client credentials).

// External EHR Url and credentials
const externalEhrBaseUrl = 'https://ehr.externalprovider.org/FHIRProxy/api/FHIR/DSTU2/';
const externalClientId = '<client_id>';
const externalClientSecret = '<client_secret>';

// Construct client ant authenticate
const externalEhrClient = new MedplumClient({
baseUrl: externalEhrBaseUrl,
});
await externalEhrClient.startLogin(externalClientId, externalClientSecret);

// Work with the client as needed, for example search
await externalEhrClient.searchResources('Patient?identifier:contains=999-47-5984');