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Healthcare
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Data Management for a Better Understanding of Health Fields
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Data Management for a Better Understanding of Health Fields

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Health Informatics and Big Data".

Deadline for manuscript submissions: 25 April 2025 | Viewed by 2350

Special Issue Editors

Prof. Dr. Marta Ortiz-de-Urbina-Criado

E-Mail Website
Guest Editor
Directory of Experts in Information Handling, Universidad Rey Juan Carlos, Paseo de los Artilleros, 28032 Madrid, Spain
Interests: open data; innovation; knowledge management; strategic management; human resources
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Carmen De-Pablos-Heredero

E-Mail Website
Guest Editor
Department of Management, Universidad Rey Juan Carlos, Paseo de los Artilleros, 28032 Madrid, Spain
Interests: data management; open data; open innovation; health sector; agricultural systems; management models; relational coordination
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The health sectors are one of the pillars of a country's socio-economic system, but data management is unevenly distributed globally. The COVID-19 pandemic has highlighted the need for data in health sectors to provide real-time analysis of a situation to make better public/private health decisions. Improving the quality and transparency of health management impacts people's health by enabling action in the system, which can have an impact on productivity and the achievement of health goals. In this context, data management (public/private data, open data, bid data...) is fundamental to good health management. Potential benefits include the opportunity for scientific collaboration, enriching research, and analytical capacity, improving early detection of health threats and real-time response time, informing interventions and policy decisions, and improving evaluation capacity. This Special Issue aims to provide a set of new articles that discuss and respond to the application of data management as a tool for understanding health sectors.

Potential topics include, but are not limited to:

  • Theoretical and practical frameworks for using data in the health sectors;
  • Legal frameworks for data use in the health sectors;
  • Data management (big data, open data) applications in health sectors;
  • Benefits and problems of using data in health sectors;
  • Social, political, ethical, environmental, and economic implications of using data in health sectors;
  • Re-use of data in health sectors;
  • Entrepreneurial initiatives in the field of health;
  • Examples or cases of apps created from data for health sectors;
  • Data acquisition, management, and analysis in precision medicine and public.

Prof. Dr. Marta Ortiz-de-Urbina-Criado
Prof. Dr. Carmen De-Pablos-Heredero
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Healthcare is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • healthcare
  • health data management
  • open government data
  • precision medicine and public health
  • public health policies
  • healthcare entrepreneurial initiatives

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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13 pages, 695 KiB  
Article
How Much Dialogic Coordination Practices Matter to Healthcare Professionals—A Delphi Approach towards a Tool for Identification and Measurement
by Mónica Santos-Cebrián, Miguel-Ángel Morales-Moya, Carmen De-Pablos-Heredero and María-del-Rosario Pacheco-Olivares
Healthcare 2023, 11(22), 2961; https://doi.org/10.3390/healthcare11222961 - 14 Nov 2023
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Abstract
The study of coordination practices in health policy is a central aspect. The need for further research has been recently highlighted because of COVID-19. In this sense, dialogic practices (DP) have been identified but not validated yet. The purpose of this study is [...] Read more.
The study of coordination practices in health policy is a central aspect. The need for further research has been recently highlighted because of COVID-19. In this sense, dialogic practices (DP) have been identified but not validated yet. The purpose of this study is to develop and validate a DP questionnaire for healthcare teams. Items were identified based on a literature review, and the content validation was carried out by means of a Delphi study. A total of 10 experts assessed the clarity and appropriateness of the items and their corresponding measurement scales. After two rounds, a high level of consensus was reached, with agreement of 90% or higher on all items, and a high degree of stability and concordance in the results. This study resulted in a questionnaire consisting of four items, one for each identified DP initially proposed to the experts, as no other practices were revealed. From a practical perspective, the validation of these items constitutes a methodological innovation that responds to the call in the literature to open new avenues for comparative studies, and the possibility of generalising the findings and bringing together different approaches to the problem of coordination, which is key in health policy where unforeseen situations emerge. Full article
(This article belongs to the Special Issue Data Management for a Better Understanding of Health Fields)
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14 pages, 2843 KiB  
Technical Note
Visualizing Hospital Management Data in R Shiny—A Case Study
by Benjamin Voellger, Milica Malesevic-Lepir, Mohamed A. Hafez Abdelrehim and Dalibor Bockelmann
Healthcare 2024, 12(18), 1846; https://doi.org/10.3390/healthcare12181846 - 14 Sep 2024
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Abstract
Objective: There is a demand to make hospital management information beyond basic key performance indicators (KPIs) accessible for clinicians. Methods: We developed an interactive application (IAPP) in R Shiny to visualize such information. We provided the IAPP source code online. As a use [...] Read more.
Objective: There is a demand to make hospital management information beyond basic key performance indicators (KPIs) accessible for clinicians. Methods: We developed an interactive application (IAPP) in R Shiny to visualize such information. We provided the IAPP source code online. As a use case, we recorded basic KPIs (numbers of patients (NPs), reimbursed valuation ratios (RVRs), mean length of stay (LOS)), main diagnoses (MDGNs), main procedures (MPRCs), and catchment area (CA) by district from April 2022 to March 2024 at the index department in central Germany, where a neurotrauma and spinal surgery service was resumed on 1 April 2022. Case mix indexes (CMIs) were calculated. We retrieved information about online-reported patient satisfaction (ORPS) from an online physician rating platform between January 2022 and March 2024. Information on longitudes and latitudes of the index department and neighbouring hospitals was collected. We calculated car travelling isochrones (CTIs) of the hospitals as a proxy variable for accessibility. Chi-square and Fisher’s exact served as statistical tests. Results: During the observation period, the monthly NPs increased from 26 to 43, the RVR showed a 3.96-fold increase, the CMI showed a 2.41-fold increase, and the LOS reached a steady state in the 2nd year after service resumption. CA (p = 0.03), MDGNs, and MPRCs diversified. ORPS trended towards better overall evaluation after service resumption (p = 0.09). CTI mapping identified a unique market position of the index department. Conclusions: The IAPP makes extended hospital management data accessible to clinicians, can inform other stakeholders in healthcare, and can be tailored to local conditions. Full article
(This article belongs to the Special Issue Data Management for a Better Understanding of Health Fields)
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