scholarly journals Digital health and digital biomarkers – enabling value chains on health data

2016 ◽  
Vol 2 (1) ◽  
pp. 577-581 ◽  
Author(s):  
Sven Meister ◽  
Wolfgang Deiters ◽  
Stefan Becker
Keyword(s):  
Business Models ◽  
Digital Health ◽  
Health Data ◽  
Smart Devices ◽  
Value Chains ◽  
Health Score ◽  
New Therapy ◽  
Ongoing Work ◽  
Pervasive Sensing ◽  
Digital Biomarkers

AbstractSmart Devices, IoT and Co. are changing healthcare. The possibilities for pervasive sensing and analysis are fast increasing and new therapy concepts as well as business models are arising, related to the term “Digital Health”. The paper will give a brief overview on the history and ask, whether Digital Health is more than Telemedicine 4.0. Furthermore, we will ask for the prospective currency to participate in new preventive offer. Data is the new oil – Digital Biomarkers enable new value chains on health data and allow for the personalization of healthcare. We will present ongoing work of Fraunhofer ISST on a Digital Biomarker called beHealthy Health Score.

scholarly journals Characteristics and Classification of Technology Sector Companies in Digital Health for Diabetes

2021 ◽  
Vol 13 (9) ◽  
pp. 4839
Author(s):  
Satoru Kikuchi ◽  
Kota Kadama ◽  
Shintaro Sengoku
Keyword(s):  
Customer Value ◽  
Business Models ◽  
Digital Health ◽  
Information And Communications Technology ◽  
Smart Devices ◽  
Innovation Ecosystem ◽  
Alliance Networks ◽  
Technology Sector ◽  
Ibm Watson ◽  
Start Ups

In recent years, technological progress in smart devices and artificial intelligence has also led to advancements in digital health. Digital health tools are especially prevalent in diabetes treatment and improving lifestyle. In digital health’s innovation ecosystem, new alliance networks are formed not only by medical device companies and pharmaceutical companies but also by information and communications technology (ICT) companies and start-ups. Therefore, while focusing on digital health for diabetes, this study explored the characteristics of companies with high network centralities. Our analysis of the changes in degree, betweenness, and eigenvector centralities of the sample companies from 2011 to 2020 found drastic changes in the company rankings of those with high network centrality during this period. Accordingly, the following eight companies were identified and investigated as the top-ranking technology sector companies: IBM Watson Health, Glooko, DarioHealth, Welldoc, OneDrop, Fitbit, Voluntis, and Noom. Lastly, we characterized these cases into three business models: (i) intermediary model, (ii) substitute model, and (iii) direct-to-consumer model, and we analyzed their customer value.

New population health methods require innovative health information business models

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
L Lisbon ◽  
M Tijhuis
Keyword(s):  
Health Information ◽  
Business Model ◽  
Business Models ◽  
Swot Analysis ◽  
Digital Health ◽  
Health Data ◽  
Healthcare Sector ◽  
Training Support ◽  
Business Model Canvas ◽  
European Health

Abstract Background InfAct is tackling the European Health Information (HI) sustainability. New population HI methods should be designed to be sustainable European-wide. Internet and digital health developments have also creating the need for innovative business model for the HI-RI that provides value to all involved stakeholders. Methods Leveraging from previous work and from a SWOT analysis, covering both market environment and health data opportunities, a set of health information services was designed. The evaluation of these services was done using Business Model Canvas (BMC), a strategic management template for developing new and innovative business models. Its visual chart was used for describing the services value proposition, infrastructure, customers, and finances. The usefulness of resources is paramount in healthcare. Therefore, it is important to assess the actual benefits obtained with the services. Results The SWOT analysis has shown the importance of addressing innovative HI business models to tackle the challenge of a healthcare sector more and more driven by information. Four main services were selected to support a European health information strategy: One-stop Shop, Innovation Research in HI (e.g. access to more updated HI), Capacity Building in HI (e.g., training support), and Knowledge translation research for decision-making (e.g., support policies with evidence-based). BMC analysis contributed to the identification of services value and innovative approach to the health data market. Moreover, from this analysis proper access to services required sophisticated HI infrastructure that should be able to brokering information in a competitive way. Conclusions Novel HI requires innovative business models services based on priority and planning for the next stages grounded on a sustainable roadmap towards the construction of a HI platform. BMC analysis provided the support for the prioritizations and helped designing the HI marketing and adoption strategy.

New digital models of care in ophthalmology, during and beyond the COVID-19 pandemic

2021 ◽  
pp. bjophthalmol-2020-317683
Author(s):  
Yih-Chung Tham ◽  
Rahat Husain ◽  
Kelvin Yi Chong Teo ◽  
Anna Cheng Sim Tan ◽  
Annabel Chee Yen Chew ◽  
...  
Keyword(s):  
Business Models ◽  
Digital Health ◽  
Models Of Care ◽  
Clinical Practices ◽  
Digital Models ◽  
Face To Face ◽  
Potential Barriers ◽  
Digital Business Models ◽  
Brick And Mortar ◽  
Clinical Models

COVID-19 has led to massive disruptions in societal, economic and healthcare systems globally. While COVID-19 has sparked a surge and expansion of new digital business models in different industries, healthcare has been slower to adapt to digital solutions. The majority of ophthalmology clinical practices are still operating through a traditional model of ‘brick-and-mortar’ facilities and ‘face-to-face’ patient–physician interaction. In the current climate of COVID-19, there is a need to fuel implementation of digital health models for ophthalmology. In this article, we highlight the current limitations in traditional clinical models as we confront COVID-19, review the current lack of digital initiatives in ophthalmology sphere despite the presence of COVID-19, propose new digital models of care for ophthalmology and discuss potential barriers that need to be considered for sustainable transformation to take place.

scholarly journals An Autonomous Cybersecurity Framework for Next-generation Digital Service Chains

2021 ◽  
Vol 29 (4) ◽  
Author(s):  
Matteo Repetto ◽  
Domenico Striccoli ◽  
Giuseppe Piro ◽  
Alessandro Carrega ◽  
Gennaro Boggia ◽  
...  
Keyword(s):  
Business Models ◽  
Identity Management ◽  
Methodological Approach ◽  
Value Chains ◽  
Sensitive Data ◽  
Digital Service ◽  
Security Issues ◽  
Security Services ◽  
New Business ◽  
Access Control Management

AbstractToday, the digital economy is pushing new business models, based on the creation of value chains for data processing, through the interconnection of processes, products, services, software, and things across different domains and organizations. Despite the growing availability of communication infrastructures, computing paradigms, and software architectures that already effectively support the implementation of distributed multi-domain value chains, a comprehensive architecture is still missing that effectively fulfills all related security issues: mutual trustworthiness of entities in partially unknown topologies, identification and mitigation of advanced multi-vector threats, identity management and access control, management and propagation of sensitive data. In order to fill this gap, this work proposes a new methodological approach to design and implement heterogeneous security services for distributed systems that combine together digital resources and components from multiple domains. The framework is designed to support both existing and new security services, and focuses on three novel aspects: (i) full automation of the processes that manage the whole system, i.e., threat detection, collection of information and reaction to attacks and system anomalies; (ii) dynamic adaptation of operations and security tasks to newest attack patterns, and (iii) real-time adjustment of the level of detail of inspection and monitoring processes. The overall architecture as well as the functions and relationships of its logical components are described in detail, presenting also a concrete use case as an example of application of the proposed framework.

scholarly journals Assessing and piloting interoperability for population health research

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
F Estupiñán-Romero ◽  
J Gonzalez-García ◽  
E Bernal-Delgado
Keyword(s):  
Case Studies ◽  
Population Health ◽  
Health Research ◽  
Network Architecture ◽  
Digital Health ◽  
Data Extraction ◽  
Health Data ◽  
Research Network ◽  
Technical Solution ◽  
Privacy And Security

Abstract Issue/problem Interoperability is paramount when reusing health data from multiple data sources and becomes vital when the scope is cross-national. We aimed at piloting interoperability solutions building on three case studies relevant to population health research. Interoperability lies on four pillars; so: a) Legal frame (i.e., compliance with the GDPR, privacy- and security-by-design, and ethical standards); b) Organizational structure (e.g., availability and access to digital health data and governance of health information systems); c) Semantic developments (e.g., existence of metadata, availability of standards, data quality issues, coherence between data models and research purposes); and, d) Technical environment (e.g., how well documented are data processes, which are the dependencies linked to software components or alignment to standards). Results We have developed a federated research network architecture with 10 hubs each from a different country. This architecture has implied: a) the design of the data model that address the research questions; b) developing, distributing and deploying scripts for data extraction, transformation and analysis; and, c) retrieving the shared results for comparison or pooled meta-analysis. Lessons The development of a federated architecture for population health research is a technical solution that allows full compliance with interoperability pillars. The deployment of this type of solution where data remain in house under the governance and legal requirements of the data owners, and scripts for data extraction and analysis are shared across hubs, requires the implementation of capacity building measures. Key messages Population health research will benefit from the development of federated architectures that provide solutions to interoperability challenges. Case studies conducted within InfAct are providing valuable lessons to advance the design of a future pan-European research infrastructure.

scholarly journals Data from Digital Health Devices Informs Ideal Cardiovascular Health

2021 ◽  
Vol 11 (3) ◽  
pp. 189
Author(s):  
Jane A. Leopold ◽  
Roger B. Davis ◽  
Elliott M. Antman
Keyword(s):  
Cardiovascular Health ◽  
Digital Health ◽  
Vigorous Exercise ◽  
Activity Data ◽  
Health Score ◽  
Ideal Cardiovascular Health ◽  
Digital Devices ◽  
Significant Difference ◽  
Life’S Simple 7 ◽  
Life's Simple 7

Ideal cardiovascular health is associated with a decrease in adverse cardiovascular events. The My Research Legacy study examined ideal cardiovascular health using the Life’s Simple 7 survey and data from digital health devices. We hypothesized that digital devices provide a more objective view of overall cardiovascular health status than self-reported measures. Therefore, we analyzed weight and activity data recorded by digital devices to recalculate the Life’s Simple 7 Health Score. All study participants (n = 1561) answered the survey, while a subgroup (n = 390) provided data from digital devices. Individuals with digital devices had a lower body mass index (BMI) and higher weekly minutes of vigorous exercise than participants without digital devices (p < 0.01). Baseline Health Scores were higher in individuals with digital devices compared to those without (7.0 ± 1.6 vs. 6.6 ± 1.6, p < 0.01). Data from digital devices reveal both increases and decreases in measured vs. self-reported BMI (p < 0.04) and weekly minutes of moderate and vigorous exercise activity (p < 0.01). Using these data, a significant difference was found between the recalculated and the self-reported Life’s Simple 7 Health Score (p < 0.05). These findings suggest that incorporation of digital health devices should be considered as part of a precision medicinal approach to assessing ideal cardiovascular health.

scholarly journals DigiPrime: Digital Platform for Circular Economy in Cross-Sectorial Sustainable Value Networks

Proceedings ◽  
2020 ◽  
Vol 65 (1) ◽  
pp. 1
Author(s):  
Elena Mossali ◽  
Marco Diani ◽  
Marcello Colledani
Keyword(s):  
Circular Economy ◽  
Business Models ◽  
Value Added ◽  
Environmental Crisis ◽  
Value Chains ◽  
Economic Opportunity ◽  
Construction Sector ◽  
Digital Platform ◽  
Sustainable Value ◽  
Value Added Products

Circular Economy is the solution for the current environmental crisis, representing a huge economic opportunity to build new sustainable businesses. However, many barriers need to be faced for its implementation at industrial scale—firstly, the lack of data sharing between the different stakeholders of product value-chains. The DigiPrime project is an EU-funded Innovation Action aimed at developing and demonstrating a digital platform with services able to unlock innovative cross-sectorial business models for the remanufacturing and recycling of target value-added products. In this paper, the concept behind the DigiPrime project is reported, with a particular focus on the construction sector.

scholarly journals MAPPING HEALTH: HOW DANES EXPERIENCE THEIR DIGITAL HEALTH DATA

2021 ◽  
Author(s):  
Martina Skrubbeltrang Mahnke ◽  
Mikka Nielsen
Keyword(s):  
Empirical Analysis ◽  
Digital Health ◽  
Health Data ◽  
Medical Data ◽  
Emotional Experiences ◽  
Structural Effects ◽  
Primary Analysis ◽  
Personal Experiences ◽  
User Data ◽  
The Empirical Analysis

This paper explores how Danish citizens experience digital health data and how these in turn affect their understanding of digital health data and their self-understanding as a patient. Previous research on digital health data examines primarily opportunities and challenges as well as structural effects concluding that having access to one's medical data is generally beneficial for patients but also comes with literacy challenges. The aim of this research is to look deeper into personal experiences with digital health data in order to understand what is at stake when people become digitally mapped patients and how experiences of empowerment, independence, perplexity, and doubt intermingle when reading one’s own health data. Taking a user’s view, the paper draws theoretically on the concept of ‘assemblage’ understanding digital health data as a complex nexus of user-data relationships. The empirical analysis draws on 16 in-depth purposefully sampled interviews that have been coded thematically. The primary analysis shows that digital health data creates unique, deeply emotional experiences that lead towards a variety of existential questions. Combining the theoretical lens with the empirical analysis this paper contributes with what we call ‘health assemblages’ that highlight the emerging relationships and personal emotional attachments users make with their digital health data. In conclusion, it can be stated that seeing oneself mapped in data creates unique experiences, often challenging the self-understanding of the patient.

A Dynamic Vision of Value Chains

2015 ◽  
pp. 156-182
Keyword(s):  
Business Model ◽  
Business Models ◽  
New Products ◽  
Business Environment ◽  
Value Chains ◽  
Contemporary Debate ◽  
Digital Revolution ◽  
Dynamic Vision ◽  
Ict Industry

The Business Model (BM) notion has become popular because of a business environment shaped by ICT and globalization and characterized by an increasing complexity and uncertainty. Innovative ICT industry coupled with ever-growing products, services, and applications have placed business models at the heart of the new digital revolution. In this chapter, the authors examine how the concept has been applied in the field of ICT and is used in contemporary debate. These new BMs are based on new forms of organization and/or on new products and services offerings. The BM concept has attracted attention both from practitioners and academics. The concept has received wide recognition; yet in practice, it is a new and evolving concept. It has inspired numerous researchers and academics and has given rise to different interpretations, one around which there is not always a perfect consensus. However, despite its wide use, the notion of the business model has become more complex.

Privacy Preserving in Digital Health

2021 ◽  
pp. 1503-1526
Author(s):  
Zakariae El Ouazzani ◽  
Hanan El Bakkali ◽  
Souad Sadki
Keyword(s):  
Information And Communication Technologies ◽  
Digital Health ◽  
Health Sector ◽  
Privacy Preserving ◽  
Health Data ◽  
Patient Privacy ◽  
Healthcare Organizations ◽  
Related Data ◽  
Healthcare Data ◽  
Privacy Violation

Recently, digital health solutions are taking advantage of recent advances in information and communication technologies. In this context, patients' health data are shared with other stakeholders. Moreover, it's now easier to collect massive health data due to the rising use of connected sensors in the health sector. However, the sensitivity of this shared healthcare data related to patients may increase the risks of privacy violation. Therefore, healthcare-related data need robust security measurements to prevent its disclosure and preserve patients' privacy. However, in order to make well-informed decisions, it is often necessary to allow more permissive security policies for healthcare organizations even without the consent of patients or against their preferences. The authors of this chapter concentrate on highlighting these challenging issues related to patient privacy and presenting some of the most significant privacy preserving approaches in the context of digital health.

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