med.essence

An AI driven solution for
medical workflow automation

med.essence Purpose

At med.essence GmbH, we aim to change healthcare workflows by automating time consuming and error-prone management tasks and empowering medical professionals by automation and smart suggestions using cloud native AI technology.

We are a cloud native AI platform. We use Deep Learning and Natural Language Understanding to provide workflow automation tools.

We help medical professionals by reducing the amount of time it takes to create high quality reports.

We help the staff increase the quality of case management by automating the error-prone tasks.

We are your B2B partner for AI based Natural Language Processing projects in healthcare.

CHALLENGES

Healthcare institutions own a treasure box full of historical data which would be highly valuable for research and as input for AI based learning algorithms. Unfortunately such data is usually unstructured, easy to understand by humans, but hard to compute by machines.
Working with patient related data often means to translate data from one software to another. A lot of data coming with the patient is in natural language and not yet structured. Where it is structured, automatic mapping fails too often due to frequently changing hierarchies and catalogs. This translation is challenging to beginners, boring to experts and time consuming for everyone.
With the growing importance of structured data and deeper software functionality, users are forced to fill in complex forms. This often leads to time consuming, inefficient and complex navigation across various components of the software used, and hinders the actual tasks.

SOLUTION

AI-Driven Natural Language Processing and Context Analysis

DATA

We make use of live user inputs as well as existing data such as healthcare records, information system data, spoken language. Our data contains rich contextual relationships.

ALGORITHM

We use state-of-the-art Natural Language Processing techniques and Deep Learning to build our algorithms. In particular, we leverage domain-specific Topic and Language Models customized with our rich data set.

CLOUD NATIVE INTERFACE

Our cloud native solution provides an API for Medical Applications to query with recognized spoken language or unstructured text documents to receive task-specific structured results.

Our SaaS scales to our customers performance requirements.

RESULT

The semantic understanding built into our algorithm allows us to provide output through task specific APIs and different representations that can directly be included in business applications workflows for automation and optimization.

Our structured results are a great resource for training of staff as well as research and development of AI based applications.

MANAGEMENT TEAM

business, med and tech experience

Alexander Ochmann

CEO

Founder and CEO of Winterberg Partners AG, 10 years of experience in Private Equity Deal Sourcing and 25 years of experience in Executive Search

Jörg Dittrich

CEO

Co-Founder and CEO of medavis GmbH, 25 years of experience in Healthcare Software Development, International Expansion and developing B2B Relationships

Dr. Kerem Tomak

Chief Data Scientist

Data Scientist and Executive with a proven track record over 15 years in Retail, Tech and Financial Services

Elmar Kußmaul

Advisor to the Board

Co-Founder and CEO of medavis GmbH, 25 years of experience in Healthcare Software Development, Sales and Operation of Professional Services

Bernhard Gemmel

Advisor to the Board

Partner at the global law firm Dentons with 25 years of Advisory Practice in complex International Investment and Financing Transactions

„We are revolutionizing the radiology workflow using AI.“

med.essence GmbH
Schaumainkai 5
60594 Frankfurt, Germany

Phone +49 69 24743237
Fax +49 69 24743238
info@med-essence.de