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Digital Services Landscape in Primary Care Setting in City of Zagreb; an EIP-AHA Reference Site Case Study
European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) brings together partners to create innovative solutions to the challenges of aging. Reference Sites (RS) of the Partnership act as hubs of innovation and assist the scale-up of identified solutions. “Blueprint on Digital Trans...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Università di Salerno
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581491/ https://www.ncbi.nlm.nih.gov/pubmed/31360677 |
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author | Lazic, V Pjevac, N Masic, A Milutinovic, L Sijak, D Balenovic, A |
author_facet | Lazic, V Pjevac, N Masic, A Milutinovic, L Sijak, D Balenovic, A |
author_sort | Lazic, V |
collection | PubMed |
description | European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) brings together partners to create innovative solutions to the challenges of aging. Reference Sites (RS) of the Partnership act as hubs of innovation and assist the scale-up of identified solutions. “Blueprint on Digital Transformation of Health and Care for the Ageing Society” (The Blueprint) is guiding the shift towards ICT enabled patient-centered care. To further inform its development, a tool has been created and piloted across RS, to explore the digital services landscape and find services that address the needs of the personas developed for this tool, that represent the needs of the populations. The aim of this case study was to explore the digital services ecosystem in primary care in Zagreb from the services availability and accessibility perspective, using the personas needs tool. The total of 23 digital services was identified out of which 21 matched at least one persona need. Each service-need match was scored against usefulness and accessibility criteria and the resulting matrix was evaluated using original methods. The results point to several underperforming services and provide insight into possible improvement strategies. Several “workhorse” services were identified that are heavily dependent on the health workforce. The services adopted through EIP on AHA twinning schemes performed well against set criteria. The persona based tool, along with the original service assessment methodology based on the tool’s framework provides a new perspective to the digital services landscape, useful for planning the areas for improvement and detecting underperforming services on a system level. |
format | Online Article Text |
id | pubmed-6581491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Università di Salerno |
record_format | MEDLINE/PubMed |
spelling | pubmed-65814912019-07-29 Digital Services Landscape in Primary Care Setting in City of Zagreb; an EIP-AHA Reference Site Case Study Lazic, V Pjevac, N Masic, A Milutinovic, L Sijak, D Balenovic, A Transl Med UniSa Articles European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) brings together partners to create innovative solutions to the challenges of aging. Reference Sites (RS) of the Partnership act as hubs of innovation and assist the scale-up of identified solutions. “Blueprint on Digital Transformation of Health and Care for the Ageing Society” (The Blueprint) is guiding the shift towards ICT enabled patient-centered care. To further inform its development, a tool has been created and piloted across RS, to explore the digital services landscape and find services that address the needs of the personas developed for this tool, that represent the needs of the populations. The aim of this case study was to explore the digital services ecosystem in primary care in Zagreb from the services availability and accessibility perspective, using the personas needs tool. The total of 23 digital services was identified out of which 21 matched at least one persona need. Each service-need match was scored against usefulness and accessibility criteria and the resulting matrix was evaluated using original methods. The results point to several underperforming services and provide insight into possible improvement strategies. Several “workhorse” services were identified that are heavily dependent on the health workforce. The services adopted through EIP on AHA twinning schemes performed well against set criteria. The persona based tool, along with the original service assessment methodology based on the tool’s framework provides a new perspective to the digital services landscape, useful for planning the areas for improvement and detecting underperforming services on a system level. Università di Salerno 2019-01-06 /pmc/articles/PMC6581491/ /pubmed/31360677 Text en http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Lazic, V Pjevac, N Masic, A Milutinovic, L Sijak, D Balenovic, A Digital Services Landscape in Primary Care Setting in City of Zagreb; an EIP-AHA Reference Site Case Study |
title | Digital Services Landscape in Primary Care Setting in City of Zagreb; an EIP-AHA Reference Site Case Study |
title_full | Digital Services Landscape in Primary Care Setting in City of Zagreb; an EIP-AHA Reference Site Case Study |
title_fullStr | Digital Services Landscape in Primary Care Setting in City of Zagreb; an EIP-AHA Reference Site Case Study |
title_full_unstemmed | Digital Services Landscape in Primary Care Setting in City of Zagreb; an EIP-AHA Reference Site Case Study |
title_short | Digital Services Landscape in Primary Care Setting in City of Zagreb; an EIP-AHA Reference Site Case Study |
title_sort | digital services landscape in primary care setting in city of zagreb; an eip-aha reference site case study |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581491/ https://www.ncbi.nlm.nih.gov/pubmed/31360677 |
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