Selecting healthcare information systems provided by third-party vendors: A mind map beyond the manuals
Abstract
The selection of a new healthcare information system (HIS) has always been a daunting process for clinicians, health care providers and policy makers. The objective of this study is to present the lessons learned and the main findings from several relevant case studies to support this process. Data were collected by retrospectively reviewing the summative results of three well-established systems, acquiring feedback from two E.U. projects, and conducting semi-structured interviews with a number of collaborators involved in electronic healthcare interventions. Selection issues were identified and classified into the following five categories: (i) data creation, (ii) data management, (iii) data sharing, (iv) data presentation and (v) modules management. A mind map was also structured to provide a more manageable list of issues concerning the most common electronic clinical technologies (e-CT). The vendor manual is intended as an overview of the merchandise e-CT and therefore has limited potential in supporting effectively the selection process of a new HIS. The present classification and the mind map - based on lessons learned - provide a ready-to-use toolkit for supporting the HIS selection process when healthcare organisations are unable to employ research development groups to lay the groundwork for building a new HIS from scratch.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The healthcare sector is known to lag behind other sectors in recognizing the critical contribution of suppliers to organizational success.
“The healthcare sector is known to be lagging behind other sectors in recognizing the critical contribution of suppliers to the ongoing and sustainable success of an organization [42].”
Cited by
Sorted by citations
Bialas, C., Bechtsis, D., Aivazidou, E., Achillas, C., & Aidonis, D. (2023) · Sustainability · doi:10.3390/su15043163 · Cited by 46 · see citing works
“The healthcare sector is known to be lagging behind other sectors in recognizing the critical contribution of suppliers to the ongoing and sustainable success of an organization [42].”
Background
- Authors
- Gortzis, L. G.
- Affiliations
- University of Patras (GR)
- Corresponding author
- Gortzis, Lefteris G.
- Venue
- Informatics for Health and Social Care
- Publisher
- Informa UK Limited
- Published
- 2010-01
- Volume
- 35
- Issue
- 1
- Pages
- 1-9
- ISSN
- 1753-8157 (ISSN-L)
- 1753-8165
- OpenAlex
- W2091631204
- Cited by
- 5
- References
- 0
- Citations by year
- 2024: 2 · 2023: 1 · 2017: 1 · 2013: 1
- FWCI
- 0.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Informatics for Health and Social Care (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Keywords
- health information systems, system selection, third-party vendors, mind maps, data management, data sharing, data presentation, lessons learned, electronic health records
- MeSH terms
- Decision Making, Health Services, Humans, Information Systems, Retrospective Studies, Software Design, User-Computer Interface, Information Storage and Retrieval
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review