B.Eng study
B.Eng in ICT, professional major: health technology
Helsinki Metropolia University of Applied Sciences
SFS-EN 17269:2019:en compliant International Patient Summary
Abstract
Guaranteeing cross-border continuity of healthcare for overseas Finnish citizens is presently difficult. This is because the limited rights of foreign citizens worldwide together with the technical and legislative incompatibilities of healthcare systems limit the availability of treatment. Various institutions of the European Union and relevant standards bodies have recommended a standardized, minimal and non-exhaustive International Patient Summary (IPS) to address the problem.
The primary objective of the study was to compile an electronic patient summary in English that is compliant with the SFS-EN 17269:2019 standard using free clinical Extensible Markup Language (XML) source documents provided by Kanta Services. The study methods included information retrieval, manual data processing, research diary, iterative testing based on XML Schema Definition (XSD) and Schematron schemas and qualitative research.
The summary was run through validation tests in the External Validation Service Front-end (EVSClient) testing platform with the intent to minimize the number of errors. The remaining errors were analyzed to recognize future steps for improving Kanta Services. A non-exhaustive mapping of Finnish and international technical and clinical value sets in respect to the minimal data requirements of the standard was also conducted. Finally, the significance of the study was reflected upon based on the information retrieval. The document type Hoitoasiakirja yleinen was found to be the most compatible for compiling a permanent IPS. The recognition of proper future steps was hindered both by the lack of proper validation tools for testing specialized temporary electronic clinical compilation documents as well as the lack of utilizing international technical templates. It was concluded that the previous methods would provide a better foundation for an exhaustive comparison documentation.
Personal projects
Github projects
Clients
Homepage for Lingora® (in Finnish) using React, React Router and Material UI.
Lingora® also asked us to develop an image classification model for classifying Candida growth medium (CHROMagar/SDA) images based on their content. The classification algorithm was trained with deep-learning neural networks using the Keras and KerasTuner libraries for Python.
Employers
RPA browser and desktop automation development (RPA Framework / Robot Framework), period 06.09.2021-14.01.2022.
Ohari, RPA Framework/Python robot for downloading client Excel voucher files with a web browser, deployed to Robocorp Cloud. The files are uploaded to Microsoft SharePoint and automatic messages about the process are sent to a Windows Teams channel (Adaptive Cards / Incoming webhook).
Inspehtoorin apuri, unfinished desktop robot utilizing an ERP through a Citrix remote connection. Downloads voucher files from different systems and compares the contents before sending a summary Excel report file to a SharePoint folder.
nanparensoft.com 