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dropmaster.co

Stage

Debt | Alive

Total Raised

$20K

Last Raised

$20K | 7 yrs ago

About Gecco

Gecco developed the Dropmaster siphoning system to help both fire protection and mechanical contractors remove residual water and odor from fire sprinkler systems, process piping, boilers, heat exchangers, and chillers prior to repairs and change outs. Originally intended for fire sprinkler systems, the Dropmaster has expanded and become a versatile tool with a multitude of applications, from boilers to heat exchanges, chillers and air handlers. The Dropmaster is used in homes, apartments, dormitories, hospitals and nursing homes, casinos and resorts, and nuclear power facilities.

Gecco Headquarter Location

23 Baker Drive

Factoryville, Pennsylvania, 18419,

United States

570-945-3568

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Gecco Patents

Gecco has filed 3 patents.

patents chart

Application Date

Grant Date

Title

Related Topics

Status

12/20/2016

8/28/2018

Stereochemistry, Chirality, Johnson solids, Elementary geometry, Polyhedra

Grant

Application Date

12/20/2016

Grant Date

8/28/2018

Title

Related Topics

Stereochemistry, Chirality, Johnson solids, Elementary geometry, Polyhedra

Status

Grant

Latest Gecco News

Generation of a Fast Healthcare Interoperability Resources (FHIR)-based Ontology for Federated Feasibility Queries in the Context of COVID-19: Feasibility Study

Apr 27, 2022

Background: The COVID-19 pandemic highlighted the importance of making research data from all German hospitals available to scientists to respond to current and future pandemics promptly. The heterogeneous data originating from proprietary systems at hospitals' sites must be harmonized and accessible. The German Corona Consensus Dataset (GECCO) specifies how data for COVID-19 patients will be standardized in Fast Healthcare Interoperability Resources (FHIR) profiles across German hospitals. However, given the complexity of the FHIR standard, the data harmonization is not sufficient to make the data accessible. A simplified visual representation is needed to reduce the technical burden, while allowing feasibility queries. Objective: This study investigates how a search ontology can be automatically generated using FHIR profiles and a terminology server. Furthermore, it describes how this ontology can be used in a user interface (UI) and how a mapping and a terminology tree created together with the ontology can translate user input into FHIR queries. Methods: We used the FHIR profiles from the GECCO data set combined with a terminology server to generate an ontology and the required mapping files for the translation. We analyzed the profiles and identified search criteria for the visual representation. In this process, we reduced the complex profiles to code value pairs for improved usability. We enriched our ontology with the necessary information to display it in a UI. We also developed an intermediate query language to transform the queries from the UI to federated FHIR requests. Separation of concerns resulted in discrepancies between the criteria used in the intermediate query format and the target query language. Therefore, a mapping was created to reintroduce all information relevant for creating the query in its target language. Further, we generated a tree representation of the ontology hierarchy, which allows resolving child concepts in the process. Results: In the scope of this project, 82 (99%) of 83 elements defined in the GECCO profile were successfully implemented. We verified our solution based on an independently developed test patient. A discrepancy between the test data and the criteria was found in 6 cases due to different versions used to generate the test data and the UI profiles, the support for specific code systems, and the evaluation of postcoordinated Systematized Nomenclature of Medicine (SNOMED) codes. Our results highlight the need for governance mechanisms for version changes, concept mapping between values from different code systems encoding the same concept, and support for different unit dimensions. Conclusions: We developed an automatic process to generate ontology and mapping files for FHIR-formatted data. Our tests found that this process works for most of our chosen FHIR profile criteria. The process established here works directly with FHIR profiles and a terminology server, making it extendable to other FHIR profiles and demonstrating that automatic ontology generation on FHIR profiles is feasible.

  • Where is Gecco's headquarters?

    Gecco's headquarters is located at 23 Baker Drive, Factoryville.

  • What is Gecco's latest funding round?

    Gecco's latest funding round is Debt.

  • How much did Gecco raise?

    Gecco raised a total of $20K.

  • Who are the investors of Gecco?

    Investors of Gecco include Ben Franklin Technology Partners of Northeastern PA.

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