Evidence-Based Health Informatics as the Foundation for the COVID-19 Response: A Joint Call for Action.

Background: As a major public health crisis, the novel coronavirus disease 2019 (COVID-19) pandemic demonstrates the urgent need for safe, effective, and evidence-based implementations of digital health. The urgency stems from the frequent tendency to focus attention on seemingly high promising digital health interventions despite being poorly validated in times of crisis.

Aim: In this paper, we describe a joint call for action to use and leverage evidence-based health informatics as the foundation for the COVID-19 response and public health interventions.

Health promotion with physiolytics: What is driving people to subscribe in a data-driven health plan.

Data-driven health promotion programs and health plans try to harness the new possibilities of ubiquitous and pervasive physiolytics devices. In this paper we seek to explore what drives people to subscribe to such a data-driven health plan. Our study reveals that the decision to subscribe to a data-driven health plan is strongly influenced by the beliefs of seeing physiolytics as enabler for positive health behavior change and of perceiving health insurances as trustworthy organizations that are capable of securely and righteously manage the data collected by physiolytics.

All that Glitters is not Gold: Six Steps Before Selecting and Prioritizing e-Health Services.

Since the market for e-health applications is constantly growing, it is getting an ever more complex endeavor to select and prioritize the right service offering given a particular situation. In examining the extant literature, it was revealed that little emphasis is actually placed on how to analyze contextual or environmental factors prior to the selection and prioritization of e-health services. With this paper, we therefore propose a formative framework consisting of six fundamental yet very pragmatic steps that may support decision makers in identifying the most important contextual pre-requisites that e-health services need to fulfill in order to be considered as effective for their environment to be implemented.

Health professionals' perspective on the promotion of e-mental health apps in the context of maternal depression.

Objective: Our study focuses on exploring (1) the intention of health professionals to use and recommend e-mental health applications, (2) how this intention of health professionals might be influenced, (3) which group of health professionals might be most accessible to promote e-mental health applications for maternal depression, and (4) for which tasks they rate them to be most useful.

Materials And Methods: Based on a questionnaire informed by the theory of planned behavior, we collected 131 responses of U.S.

Anticipating mismatches of HIT investments: Developing a viability-fit model for e-health services.

Objectives: Albeit massive investments in the recent years, the impact of health information technology (HIT) has been controversial and strongly disputed by both research and practice. While many studies are concerned with the development of new or the refinement of existing measurement models for assessing the impact of HIT adoption (ex post), this study presents an initial attempt to better understand the factors affecting viability and fit of HIT and thereby underscores the importance of also having instruments for managing expectations (ex ante).

Methods: We extend prior research by undertaking a more granular investigation into the theoretical assumptions of viability and fit constructs.

Designing and implementing maturity models in hospitals: An experience report from 5 years of research.

In recent years, a wide range of generic and domain-specific maturity models have been developed in order to improve organizational design and learning of healthcare organizations. While many of these studies describe methods on how to measure dedicated aspects of a healthcare organization's "maturity," little evidence exists on how to effectively implement and deploy them into practice. This article therefore delineates the encountered challenges during the design and implementation of three maturity models for distinct improvement areas in hospitals.

Managing multicentre clinical trials with open source.

Background: Multicentre clinical trials are challenged by high administrative burden, data management pitfalls and costs. This leads to a reduced enthusiasm and commitment of the physicians involved and thus to a reluctance in conducting multicentre clinical trials.

Objective: The purpose of this study was to develop a web-based open source platform to support a multi-centre clinical trial.

What constitutes the field of health information systems? Fostering a systematic framework and research agenda.

The main aim of this article is to present a research agenda and systematic framework of what the field of health information systems is about, namely its central topics and connecting areas. In doing so, we try to provide a cohesive 'big picture' for academics and professionals that are interested in conducting research in this broad area. By using a large number of disparate data sources, we identified 3 major research fields and 18 sub-fields.

Understanding how information and ICTs can improve health.

The 15th International Symposium for Health Information Management Research (ISHIMR) was organized jointly by University Hospital Zurich (Switzerland), the University of St Gallen (St Gallen, Switzerland) and the University of Sheffield (Sheffield, UK). Participants included researchers, healthcare professionals, health service managers and planners. The aim of the ISHIMR series of conferences is to bring together researchers and practitioners to disseminate, share and discuss research into how information and communication technologies can improve the management of information with the health sector.

A novel open-source web-based platform promoting collaboration of healthcare professionals and biostatisticians: a design science approach.

Collaboration among clinicians and statisticians is relatively poor, with many cases leading to poor quality research, reflected by low level of evidence studies published in the literature, thus affecting the overall quality of healthcare. We have developed a novel open-source web-based platform aiming in reinforcing the clinician-statistician relationship, using an iterative design research process by involving all end-users. Evaluation of this platform by healthcare professionals and biostatisticians was highly positive, as we first identified the pitfalls of their relationship and overcame them through the use of this platform.

The need of a multi-actor perspective to understand expectations from virtual presence: managing elderly homecare informatics.

Background: Different studies have analysed a wide range of use cases and scenarios for using IT-based services in homecare settings for elderly people. In most instances, the impact of such services has been studied using a one-dimensional approach, either focusing on the benefits for the patient or health service provider.

Purpose: The objective of this contribution is to explore a model for identifying and understanding outcomes of IT-based homecare services from a multi-actor perspective.

An analysis of the factors influencing networkability in the health-care sector.

In most industries of economy, the production structures evolved into activities characterized by a high division of labour between the business partners combined with specialization, the standardization of service components and extensive networking. In the health-care sector, the first signs of a similar development are beginning to crystallize. As a consequence, networkability, the ability to link up with other players on the basis of commonly agreed standards for the joint provisioning of patient-centred and cost-efficient health services will emerge to a key concept for future health service delivery.

Understanding business intelligence in the context of healthcare.

In today's fast changing healthcare sector, decision makers are facing a growing demand for both clinical and administrative information in order to comply with legal and customer-specific requirements. The use of business intelligence (BI) is seen as a possible solution to this actual challenge. As the existing research about BI is primarily focused on the industrial sector, it is the aim of this contribution to translate and adapt the current findings for the healthcare context.