Business Venturing in Regulated Markets—Taxonomy and Archetypes of Digital Health Business Models in the European Union: Mixed Methods Descriptive and Exploratory Study (Preprint) DOI
Sascha Noel Weimar,

Rahel Sophie Martjan,

Orestis Terzidis

et al.

Published: Aug. 23, 2024

BACKGROUND Digital health technology (DHT) has the potential to revolutionize care industry by reducing costs and improving quality of in a sector that faces significant challenges. However, is complex, involving numerous stakeholders, subject extensive regulation. Within European Union, medical device regulations impose stringent requirements on various ventures. Concurrently, new reimbursement pathways are also being developed for DHTs. In this dynamic context, establishing sustainable innovative business model around DHTs fundamental their successful commercialization. there notable lack structured understanding regarding overarching models within digital sector. OBJECTIVE This study aims address gap identify key elements configurations thereby archetypal use. METHODS The was conducted 2 phases. First, taxonomy based systematic literature review, analysis 169 real-world models, qualitative evaluation through 13 expert interviews. Subsequently, 2-step clustering DHT distinct archetypes. RESULTS revealed 11 central dimensions organized into 4 meta-dimensions. Each dimension comprises 9 characteristics capturing relevant aspects models. addition, 6 archetypes were identified: administration communication supporter (A1), insurer-to-consumer therapeutics (A2), diagnostic treatment enabler (A3), professional monitoring platforms (A4), clinical research solution accelerators (A5), direct-to-consumer wellness lifestyle (A6). CONCLUSIONS findings highlight critical constituting domain, emphasizing substantial impact revenue which often involve from stakeholders such as insurers. Three drivers contributing innovation direct targeting patients private individuals, use artificial intelligence an enabler, development DHT-specific pathways. uncovered surprising patterns, including shifts between regulated devices unregulated applications, well solutions. enriches health, offering valuable insights researchers entrepreneurs.

Language: Английский

Business Venturing in Regulated Markets—Taxonomy and Archetypes of Digital Health Business Models in the European Union: Mixed Methods Descriptive and Exploratory Study DOI Creative Commons
Sascha Noel Weimar,

Rahel Sophie Martjan,

Orestis Terzidis

et al.

Journal of Medical Internet Research, Journal Year: 2025, Volume and Issue: 27, P. e65725 - e65725

Published: Jan. 9, 2025

Background Digital health technology (DHT) has the potential to revolutionize care industry by reducing costs and improving quality of in a sector that faces significant challenges. However, is complex, involving numerous stakeholders, subject extensive regulation. Within European Union, medical device regulations impose stringent requirements on various ventures. Concurrently, new reimbursement pathways are also being developed for DHTs. In this dynamic context, establishing sustainable innovative business model around DHTs fundamental their successful commercialization. there notable lack structured understanding regarding overarching models within digital sector. Objective This study aims address gap identify key elements configurations thereby archetypal use. Methods The was conducted 2 phases. First, taxonomy based systematic literature review, analysis 169 real-world models, qualitative evaluation through 13 expert interviews. Subsequently, 2-step clustering DHT distinct archetypes. Results revealed 11 central dimensions organized into 4 meta-dimensions. Each dimension comprises 9 characteristics capturing relevant aspects models. addition, 6 archetypes were identified: administration communication supporter (A1), insurer-to-consumer therapeutics (A2), diagnostic treatment enabler (A3), professional monitoring platforms (A4), clinical research solution accelerators (A5), direct-to-consumer wellness lifestyle (A6). Conclusions findings highlight critical constituting domain, emphasizing substantial impact revenue which often involve from stakeholders such as insurers. Three drivers contributing innovation direct targeting patients private individuals, use artificial intelligence an enabler, development DHT-specific pathways. uncovered surprising patterns, including shifts between regulated devices unregulated applications, well solutions. enriches health, offering valuable insights researchers entrepreneurs.

Language: Английский

Citations

0
The MECOVMA Framework: Implementing Machine Learning Under Macroeconomic Volatility for Marketing Predictions DOI Creative Commons
Manuel Muth

Forecasting, Journal Year: 2025, Volume and Issue: 7(1), P. 3 - 3

Published: Jan. 7, 2025

The methodological framework introduced in this paper, MECOVMA, is a novel that guides the application of Machine Learning specifically for marketing predictions within volatile macroeconomic environments. MECOVMA has been developed response to identified gaps displayed by existing frameworks—when it comes consolidation, relevance, interdisciplinarity, and individuality—and light polycrises occurring current decade. methodology develop comprises three phases: firstly, synthesizing frameworks based on their thematic relevance select MECOVMA’s process steps; secondly, integrating evidence provided systematic literature review design content these thirdly, using an expert evaluation, structured through qualitative analysis, validate applicability. This leads final with four overarching PMECOVMA steps, guiding context specific tasks. These include, example, processing multidimensional data inputs, complexity reduction dynamic environment, training methods adapted particular macro-conditions. In addition, features are how can be put into practice, incorporating both narrower statistical- broader business-oriented evaluations, iterative feedback loops mitigate limitations.

Language: Английский

Citations

0
Unveiling the role of DHIS2 in enhancing data quality and accessibility in primary healthcare facilities: Evidence from Ethiopia DOI Creative Commons
Taddese Alemu Zerfu,

Moges Asressie,

Zenebu Begna

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(12), P. e0314505 - e0314505

Published: Dec. 18, 2024

Background The implementation of DHIS2 in healthcare systems has transformed data management practices worldwide. However, its specific impact on quality, availability, and performance Primary Health Unit (PHU) facilities Ethiopia remains underexplored. Therefore, we investigated the contribution to enhancing within PHU Ethiopia. Methods We employed qualitative methods, specifically Key Informant Interviews (KIIs) Focus Group Discussions (FGDs), gather insights from stakeholders, including providers administrators at PHCUs across Convenience sampling was used for FGDs, while purposive targeted key informants with relevant expertise. Data were systematically analysed thematically, identifying patterns themes related DHIS2’s PHUs. This approach offered a comprehensive understanding system’s effectiveness factors influencing implementation, highlighting both successes challenges integrating into practices. Findings Participants various regions reported significant enhancements timeliness, completeness, accuracy, accessibility health following DHIS2. While some concerns raised regarding variations reporting intervals, consensus indicated marked improvements processes. standardized collection enabling input access real-time. advancement fostered greater accountability transparency system. Additionally, unexpected benefits arose, increased digital literacy among staff, equipping them necessary skills effective management, creation job opportunities, particularly youth. Ultimately, emerged as pivotal tool quality promoting service equity Conclusion significantly improved Ethiopia, facilities. Healthcare should continue leverage robust features prioritize ongoing staff training improve skills. Establishing consistent regular audits will further maintain integrity foster culture

Language: Английский

Citations

0
Business Venturing in Regulated Markets—Taxonomy and Archetypes of Digital Health Business Models in the European Union: Mixed Methods Descriptive and Exploratory Study (Preprint) DOI
Sascha Noel Weimar,

Rahel Sophie Martjan,

Orestis Terzidis

et al.

Published: Aug. 23, 2024

BACKGROUND Digital health technology (DHT) has the potential to revolutionize care industry by reducing costs and improving quality of in a sector that faces significant challenges. However, is complex, involving numerous stakeholders, subject extensive regulation. Within European Union, medical device regulations impose stringent requirements on various ventures. Concurrently, new reimbursement pathways are also being developed for DHTs. In this dynamic context, establishing sustainable innovative business model around DHTs fundamental their successful commercialization. there notable lack structured understanding regarding overarching models within digital sector. OBJECTIVE This study aims address gap identify key elements configurations thereby archetypal use. METHODS The was conducted 2 phases. First, taxonomy based systematic literature review, analysis 169 real-world models, qualitative evaluation through 13 expert interviews. Subsequently, 2-step clustering DHT distinct archetypes. RESULTS revealed 11 central dimensions organized into 4 meta-dimensions. Each dimension comprises 9 characteristics capturing relevant aspects models. addition, 6 archetypes were identified: administration communication supporter (A1), insurer-to-consumer therapeutics (A2), diagnostic treatment enabler (A3), professional monitoring platforms (A4), clinical research solution accelerators (A5), direct-to-consumer wellness lifestyle (A6). CONCLUSIONS findings highlight critical constituting domain, emphasizing substantial impact revenue which often involve from stakeholders such as insurers. Three drivers contributing innovation direct targeting patients private individuals, use artificial intelligence an enabler, development DHT-specific pathways. uncovered surprising patterns, including shifts between regulated devices unregulated applications, well solutions. enriches health, offering valuable insights researchers entrepreneurs.

Language: Английский

Citations

0