Building an MVP Based on Open Data for Sales in Healthcare

Overview 

A US-based health tech company noted that even though they had a beneficial product calculating Primary Care First benefits, its sales cycle was inefficient. It demanded too much data from the potential clients upfront. The company turned to medASTUTE for consultation, which led them to collaborating with us for implementing a new idea. The result of the project is an MVP, a concise version of the original solution that would use publicly available data and showcase the demo results to the clients during the sales process without having to inquire them for anything before they saw the product. MVP approximates benefits of joining the PCF, personalized specifically for individual practices. 

Summary

168 hours

to develop the MVP

3 engineers

were involved

360 degrees

change in the sales approach

$0

cost of MVP maintenance when not in use

Background

This project is a collaboration with medASTUTE, a specialty healthcare consulting company based in the United States and our business partner. During one of our meetings, medASTUTE informed us that about an opportunity to team up on a project for a US-based health tech company. It was about a solution for a new government healthcare provider program, Primary Care First (or PCF).

Primary Care First is designed to reduce Medicare spending by preventing avoidable hospital admissions and improving quality and access to care. It increases patient access to advanced primary care services and offers physician practice groups an innovative payment structure (fee-for-service to value-based care) with financial benefits to provide these additional health services.

medASTUTE’s partner tried to sell a service that supports a transition from one financial structure to another and calculates financial benefits. However, they had a hard time finding interested clients due to the huge amount of private practice/hospital data that had to be shared with the company to run tests and figure out even a simple fact of eligibility for PCF application

medASTUTE came up with an idea, while we offered our expertise to develop an MVP for the sales department that would take publicly available data (instead of inquiring it from the practices) and provide directionally correct results for the companies. It helped physician practices to understand if they should switch to PCF from fee-for-service. In case they did, the offer would pose to buy product from medASTUTE partners that supports the new payment model with clinical management software, supporting all types of operations under PCF. 

The automation of this MVP solution provided significant value in establishing medASTUTE’s credibility in the Healthcare Analytics market. By showing that our partner could take a concept from a business problem to a functioning solution in such a short period, the company proved that their vision for delivering value to clients and partners was viable.

In addition to delivering a valuable calculator for this government program, medASTUTE identified two other markets (telehealth and essential Medicare services) and prototyped solutions for both markets. This has led to much larger market potential for their services. 

Challenges

The client’s business challenges could be summed up in a few points: 

  • Complicated and manual sales process through calls and visits
  • Overdependence on data provided from the client’s side
  • Lack of product showcase when selling a solution 
  • Lost potential clients due to seemingly “black box” product

Testimonial

Daniel Sherer

Co-Founder & Chief Technology Officer

“We have worked with developers from many parts of the world but none compare to the results we’ve seen with GreenM. Their communication skills, combined with their industry-experienced staff allowed us to iterate quickly from a business concept to a functioning prototype in a very short amount of time. The GreenM staff not only translated our vision into a solution, their experience allowed them to suggest improvements that made the solution easier to use and more impactful. We will definitely work with GreenM on our next project.”

Solution

Our front-end developer used Angular for visuals and website functions, since this framework is easily integrable with other systems. The client software was created using Angular as well and hosted on Amazon S3 via Amazon CloudFront. 

The public database it gets contains the CMS data on claims and risk scores based on each doctor APIs, which could be queried directly without having to contact practice groups. It also has a list of PCF services and hard-coded rates.

This provides data for AWS Lambda, where calculation is performed with Flask Python framework and Pandas. Specifically, these calculations with the data are performed to better showcase the benefits of one system over another for a specific clinician practice, including calculating estimated yearly revenue (comparing PCF vs. FFS), components of the PCF yearly payments and average estimated per-visit payments (PCF vs. FFS).

All calculations were performed on the fly using data from the public Socrata database. 

We used GitHub actions for CI\CD and AWS Lambda for API layer with public endpoint (AWS CDK) for deployment.

Conclusion

The automation of this MVP solution provided significant value in establishing our partner’s credibility in the Healthcare Analytics market. By showing that medASTUTE could take a concept from a business problem to a functioning solution in such a short period, the company proved that its vision for delivering value to its clients and partners was viable.

In addition to delivering a valuable calculator for this government program, medASTUTE identified two other markets (telehealth and essential Medicare services) and prototyped solutions for both markets. This has led to much larger market potential for our partner’s services.

GOT A HEALTH TECH
PROJECT IN MIND?

Together we can develop the great solution to maximize the return on your investment in data.

Technical Info

The project team consisted of one frontend developer, two backend developers, a business analyst and a project manager.

The technology stack included Amazon CloudFront, Amazon S3, Amazon API, AWS Lambda, AWS CDK, Python’s Flask, Angular and GitHub.

The duration of the project was fairly short. It was completed in under a month.

Technology Stack

AWS Serverless

Amazon CloudFront

AWS Serverless

Amazon S3

AWS Serverless

Amazon API

AWS Serverless

AWS Lambda

AWS Serverless

AWS CDK

API Frameworks

Python’s Flask

UI Frameworks

Angular

Code hosting platform

GitHub

Case studies

GOT A HEALTH TECH
PROJECT IN MIND?

Together we can develop the great solution to maximize the return on your investment in data.

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