Founded in 2012 by former home health agency owner Dan Hogan, Medalogix has been recognized by Harvard University, HIMSS and Fierce Healthcare IT as an innovative solution that’s improving America’s Healthcare system. Medalogix currently offers two solutions, Touch and Bridge.
Medalogix offers patient outcome management (POM) solutions that use a combination of predictive analytics, workflows and business intelligence engines to improve quality and reduce costs.
We’re a healthcare tech company that provides analytics and workflows to home health providers so they can improve care and reduce costs.
Medalogix currently offers two predictive analytic workflow solutions to home health providers:
- Touch, which helps ensure a patient’s successful care episode by identifying patients at risk of transferring off census (i.e. hospital readmission), falling or who would benefit from an additional care episode. After identification, Touch then automates a clinical team’s patient touchpoints to encourage the best care and cost outcome.
- Bridge, identifies which patients would benefit from hospice care and then offers a workflow to help clinicians have the right end of life conversation with the right patient at the right time.
Prior to founding Medalogix, Dan Hogan owned and operated a home health agency. As the industry moved toward digital patient records, he realized there was an opportunity to analyze those streamlined data sets to detect health risks the human eye might miss. He researched to find a tool that could do this, and came up empty handed. He decided to take matters into his own hands and incorporated Medalogix in February 2009.
Currently, Medalogix integrates with leading home health and hospice EMR. We market to their users through webinars, industry conferences and referrals through existing satisfied Medalogix users.
Although currently our solutions address the needs of home care and hospice providers, we’re currently working on solutions that address the needs of other EHR users and higher acuity providers.
With that in mind, we also disseminate our messaging to providers who will be able to leverage our technology in the near future. We reach them through trade publications and industry conferences.
We see our addressable market growing in stages per the dominant EHR providers in each post acute vertical. Right now, we have roughly 12 million patients as our addressable market. Several organizations are attempting to produce data solutions for the healthcare market. No true competitor in the post-acute space has emerged that can go beyond data visualization into things like customized predictive analytics, workflow engineering and clinical transformation–all things MLX does very well.
How your company differentiates itself from the competition: Three ways.
- We target the post acute sphere specifically. While there are healthcare predictive analytics firms, few claim post acute specificity.
- We deploy unique, organization-specific models. Meaning, we don’t provide insights based on generic state and nationwide data, we provide insights based on each client’s patient census. This ensures our predictions are exclusive to each client and better yet, each patient.
- We equip our client’s not only with analytics but also with follow through steps, which we call ‘workflow.’ This enables our clients to take action based on our insights. We believe data driven insights, no matter how accurate, are just insights. They’re only valuable once acted upon. Our technology encourages action.
Business model (how the company makes money or plans to make money)
We sell a modular SaaS platform that charges a discreet subscription fee per subscribed module. Growth plans include penetrating existing markets with new products and wider adoption among our already strong customer base, as well as re-skinning our current products for new markets.
We’re planning to double the size of our team this year. Currently we’re looking for a senior software engineer with strong C# and SQL server development skills and clinical transformation account managers.
Number of full-time employees