‘Without data, you’re just another person with an opinion’

A Hospital Information Management System With Habit-Change Features and Medial Analytical Support for Decision Making

A hospital information management system (Doctive) with habit-change features and medial analytical support for decision making is developed in this study to reduce the risks of heart diseases. Doctive is targeted for hospital authorities to monitor patients’ habits and to prescribe medication and advice accordingly. Furthermore, this system provides emergency assistance for patients based on their current location. The proposed system would be beneficial for monitoring and organizing patients’ information to ease data entry, data management, data access, data retrieval and finally decision making. Doctive is tested and evaluated by 41 people who are either medical experts or professionals in the field of data analytics and visualization. The results indicate a high acceptance rate towards using Doctive system in hospitals and very good usability of the system. Doctive can be useful for healthcare providers and developers to track users’ habits for reducing the risk of heart disease. In the future.

Change Management and Digital Innovations in Hospitals of Five European Countries

The objective of the paper is to evaluate the quality of systemic change management (CHM) and readiness for change in five Central European countries. The secondary goal is to identify trends and upcoming changes in the field of digital innovations in healthcare. The results show that all compared countries (regardless of their historical context) deal with similar CHM challenges with a rather similar degree of success. A questionnaire distributed to hospitals clearly showed that there is still considerable room for improvement in terms of the use of specific CHM tools. A review focused on digital innovations based on the PRISMA statement showed that there are five main directions, namely, data collection and integration, telemedicine, artificial intelligence, electronic medical records, and M-Health. In the hospital environment, there are considerable reservations in applying change management principles, as well as the absence of a systemic approach. The main factors that must be monitored for a successful and sustainable CHM include a clearly defined and widely communicated vision, early engagement of all stakeholders, precisely set rules, adaptation to the local context and culture, provision of a technical base, and a step-by-step implementation with strong feedback.

Strategic issues of big data analytics applications for managing health-care sector: a systematic literature review and future research agenda

Purpose

The proposed article is aimed at exploring the opportunities, challenges and possible outcomes of incorporating big data analytics (BDA) into health-care sector. The purpose of this study is to find the research gaps in the literature and to investigate the scope of incorporating new strategies in the health-care sector for increasing the efficiency of the system.

Design/methodology/approach

Fora state-of-the-art literature review, a systematic literature review has been carried out to find out research gaps in the field of healthcare using big data (BD) applications. A detailed research methodology including material collection, descriptive analysis and categorization is utilized to carry out the literature review.

Findings

BD analysis is rapidly being adopted in health-care sector for utilizing precious information available in terms of BD. However, it puts forth certain challenges that need to be focused upon. The article identifies and explains the challenges thoroughly.

Research limitations/implications

The proposed study will provide useful guidance to the health-care sector professionals for managing health-care system. It will help academicians and physicians for evaluating, improving and benchmarking the health-care strategies through BDA in the health-care sector. One of the limitations of the study is that it is based on literature review and more in-depth studies may be carried out for the generalization of results.

Originality/value

There are certain effective tools available in the market today that are currently being used by both small and large businesses and corporations. One of them is BD, which may be very useful for health-care sector. A comprehensive literature review is carried out for research papers published between 1974 and 2021.

Building Resilient Health Systems: Patient Safety during COVID-19 and Lessons for the Future

Background:

The COVID-19 pandemic has profoundly impacted the country’s health systems and diminished its capability to provide safe and effective healthcare. This article attempts to review patient safety issues during COVID-19 pandemic in India, and derive lessons from national and international experiences to inform policy actions for building a ‘resilient health system’.

Methods:

Systematic review of existing published articles, government and media reports was undertaken. Online databases were searched using key terms related to patient safety during COVID-19 and health systems resilience. Seventy-three papers were included dependent on their relevance to research objectives.

Findings:

Patient safety was impacted during COVID-19, owing to sub-optimal infection prevention and control measures coupled with reduced access to essential health services. This was largely due to inadequate infrastructure, human and material resources resulting from chronic underinvestment in public health systems, paucity of reliable data for evidence-based actions and limited leadership and regulatory capacity.

Conclusions:

India’s health systems were found ill prepared to tackle large-scale pandemic, which has major implications for patient safety. The shortcomings observed in the COVID-19 response must be rectified and comprehensive health sector reforms should be initiated for building agile and resilient health systems that can withstand future pandemics.

Distinguishing features in the assessment of mHealth apps

Introduction: The unparalleled surge in digital health adoption during the COVID-19 pandemic has emphasized the potential of mHealth apps. However, the quality of available evidence is generally low, and regulatory frameworks have focused on apps with medical purposes only, overlooking apps with significant interactions with patients that may require stronger oversight.Areas covered: To support this expanded evidence generation process, we identified the reasons that distinguish mHealth apps compared to medical devices at large and that should differentially feature their assessment. mHealth apps are characterized by the iterative nature of the corresponding interventions, frequent user interactions with a non-linear relationship between technology usage, engagement and outcomes, significant organizational implications, as well as challenges associated with genericization, their broad diagnostic potential, and price setting.Expert Opinion: The renewed reliance experienced during the pandemic and the unprecedented injection of resources through recovery instruments can further boost the development of apps. Only robust evidence of the benefits of mHealth apps will persuade health-care professionals and beneficiaries to systematically deploy them. Regulatory bodies will need to question their current approaches by adopting comprehensive evaluation processes that adequately consider the specific features of mHealth apps.

The study of pharmaceutical specialists’ thoughts concerning self-regulation of pharmaceutical activity in Ukraine

The aim of our study was to investigate the views of pharmacists on understanding the nature and necessity of implementing the self-regulation of pharmaceutical practice in Ukraine. We conducted an anonymous questionnaire survey among pharmaceutical specialists (n = 827) from the majority (16 out of 25) of the regions controlled by the Ukrainian government during the period from October till December 2018. This survey revealed lack of pharmacists’ understanding the concept of self-regulation of pharmaceutical practice. On the one hand, most respondents do not oppose the implementing of self-regulation and don’t reject exclusive membership in self-regulated pharmaceutical organizations for only pharmaceutical specialists, but on the other hand the survey showed a low willingness voluntarily to become a member of such organizations and also low level of knowledge of self-regulation process. This indicates the need to update the self-regulation process through providing training activities for pharmacists, the development of legal framework and the government’s assistance of self-regulation of pharmaceutical practice.