Customer Centricity in Medical Affairs Needs Human-centric Artificial Intelligence.

The evolution of healthcare, together with the changing behaviour of healthcare professionals, means that medical affairs functions of pharmaceutical organisations are constantly reinventing themselves. The emergence of digital ways of working, expedited by the COVID-19 pandemic, means that pharmaceutical-healthcare relationships are evolving to operate in an increasingly virtual world. The value of the pharmaceutical medical affairs function is dependent on understanding customers' needs and providing the right knowledge at the right time to physicians. This requires a human-centric artificial intelligence (AI) approach for medical affairs, which allows the function to query internal and external data sets in a conversational format and receive timely, accurate and concise intelligence on their customers.

Assessment of Strategies and Epidemiological Characteristics of Tuberculosis in Henan Province, China: Observational Study.

BACKGROUND: In 2005, China established an internet-based Tuberculosis Information Management System (TBIMS) to monitor changes in tuberculosis (TB). Many scholars have conducted epidemiological research using TBIMS; however, few studies assessing control strategies have been performed based on this platform data. Henan province is a high TB incidence area in China where, in addition to following the nationwide TB strategies, a series of local intervention combinations have been implemented. OBJECTIVE: Our study aims to evaluate the impact of nationwide TB intervention combinations on epidemiological changes and determine whether Henan province can achieve the World Health Organization's (WHO) goal of reducing TB incidence by 50% and TB mortality by 75% by the year 2025. METHODS: We used descriptive statistical methods to show the spatial and temporal distribution of pulmonary tuberculosis (PTB) reported to the TBIMS database from 2005 to 2018, and logistic regression analysis was performed to identify the risk factors of bacteriological-positive TB. The dynamic compartmental model and Bayesian melding approach was adopted to estimate the burden of TB under the impact of different TB control policies. RESULTS: In total, 976,526 PTB cases were notified to the TBIMS in Henan in a period of 14 years. Although the overall incidence of PTB declined from 91.4/105 to 58.5/105, and the overall incidence of bacteriological-positive PTB declined from 44.5/105 to 14.7/105, the WHO's 2025 goal could not be met. The distribution of high incidence and poverty-stricken counties were basically overlapped. Men, farmers and herdsmen (in rural areas), and subjects aged ≥60 years were more likely to develop bacteriological-positive PTB. The increasing treatment success for drug-susceptible tuberculosis and multidrug-resistant tuberculosis has not provided the desired reduction in incidence and mortality. CONCLUSIONS: To achieve the targeted goal, while improving the cure rate of TB, new active (rather than passive) detection and intervention strategies should be formulated based on epidemiological characteristics in Henan province.

Information specialist collaboration in Europe: collaborative methods, processes, and infrastructure through EUnetHTA.

The history of European health technology assessment (HTA) goes back more than 30 years. Almost as old as HTA agencies themselves is the desire to achieve European collaboration. This gained further impetus with the establishment of the European Network of Health Technology Assessment (EUnetHTA) in 2006. In this context, the field of information management faced specific challenges. Although these services are an integral part of HTA and information specialists play a key role here, this field is often not adequately represented in the HTA agencies within EUnetHTA. Furthermore, the organization of HTA production, including the types of HTAs produced, as well as funding, varies considerably. In order to meet these different conditions, information specialists have created various products and defined processes. With the EUnetHTA guideline, a common methodological understanding for the production of rapid Relative Effectiveness Assessments now exists. Furthermore, the Standard Operating Procedures map the complex information retrieval processes within EUnetHTA in a hands-on manner. The newly established Information Specialist Network (ISN) will in future ensure that information specialists are involved in all EUnetHTA assessments and that the methods are applied consistently in all assessments. In addition, the steering committee of the ISN manages enquiries and can be contacted to discuss methodological issues. Major barriers such as heterogeneity in the daily work of the EUnetHTA members can only be overcome through more collaboration and training.

Maturity Assessment Methodology for HISMM - Hospital Information System Maturity Model.

Maturity models have been adopted in organizations from different sectors of activity, as guides and references for information system (IS) management. In the healthcare field, maturity models have also been used to deal with the enormous complexity and demands of hospital information systems (HIS). This article presents a research project that aimed to develop a new comprehensive model of maturity for a health area. HISMM (hospital information system maturity model) was developed to address the complexity of HIS and intends to offer a useful tool to meet the demands of its management. The HISMM has the peculiarity of combining a set of key maturity influence factors and their respective characteristics, enabling not only the assessment of the global maturity of an HIS but also of the individual maturities of its various dimensions. In this article, we present a methodology for the application and implementation of this model in HIS, thus contributing to its widespread practical application and acceptance.

The project vita: A dynamic knowledge management tool.

A project vita is a comprehensive index of factual information about a project's activities and achievements. Like an individual's professional curriculum vita or resume, it serves as evidence of past performance and capacity for future endeavors. This article situates the project vita as a knowledge management tool for use by large-scale research and development projects or coalitions. In such complex endeavors, the variety and scope of the knowledge generated can quickly outpace project staff attempts to collect, classify, disseminate, and support the effective use of the constant stream of information being produced. We describe how to develop a project vita and utilize it to support several essential project functions, including communication, evaluation, management, and as a portal to products.

Promoting and Tracking Institutional Scholarship with Implementation of a Librarian-Curated Digital Repository and Research Information Management System.

Library staff at the Donald and Barbara Zucker School of Medicine at Hofstra/Northwell implemented a digital repository to collect and showcase the scholarly output of the medical school and the Northwell Health system. This repository, entitled Zucker School of Medicine Academic Works, promotes scholarship by faculty, trainees, and staff via a centralized public website. With links to the full text and faculty profiles, the repository facilitates access and discoverability in alignment with the value of scholarship at the institution. Subsequent implementation of a research information management system to harvest publications further enhances the goals of tracking, promoting, and reporting impact of the scholarly activities. This article reviews successes and challenges, and collaboration with other stakeholder departments.

Infoxicación en salud. La sobrecarga de información sobre salud en la web y el riesgo de que lo importante se haga invisible / Infoxication in health. Health information overload on the Internet and the risk of important information becoming invisible / Infoxicação em saúde. A sobrecarga de informação em saúde na internet e o risco de ficar invisível o que é importante

RESUMEN Objetivo Este estudio tiene como objetivos 1) crear conciencia del volumen de información en salud existente en la web de calidad, 2) explorar la percepción de profesionales de la información con relación al uso de fuentes cualificadas en la toma de decisiones en salud, y 3) presentar recomendaciones que permitan fortalecer las capacidades de los trabajadores de la salud y las competencias institucionales relacionadas con la alfabetización digital. Métodos Se realizó un estudio no experimental descriptivo transversal con una muestra no probabilística de 32 profesionales de la información de nueve países. Se recopiló información de internet sobre el volumen de contenidos existentes en herramientas web, redes sociales y fuentes de información en salud. Se realizaron búsquedas en inglés y en español utilizando las palabras clave Ebola, Zika, Dengue, Chikungunya, Safe food, Health equity, Safe sex, y Obesit. Por último, se obtuvo información sobre la oferta de formación formal en temas de alfabetización digital, gestión de información y otros relacionados. Resultados Seleccionando sólo cuatro enfermedades de alto impacto en salud pública en mayo de 2016 y promediando un tiempo de revisión mínimo de cada producto de información, se tardaría más de 50 años seguidos sin dormir para consultar todo lo publicado en línea sobre Dengue, Zika, Ebola y Chikungunja. Conclusión Se concluye que la salud pública se beneficiaría con instituciones de salud que implementaran estrategias formales de gestión del conocimiento, con instituciones académicas de ciencias de la salud que incorporaran programas formales de alfabetización digital y con trabajadores de la salud cuyo desarrollo profesional sea responsable y funcional en la sociedad de la información.

ABSTRACT Objective The objectives of this study were to: 1) raise awareness of the volume of quality health information on the Internet; 2) explore perceptions of information professionals with regard to the use of qualified sources for health decision-making; and 3) make recommendations that facilitate strengthening health worker capacities and institutional competencies related to digital literacy. Methods A non-experimental, descriptive cross-sectional study was conducted with a non-probability sample of 32 information professionals from nine countries. Internet information was compiled on the volume of content in Internet tools, social networks, and health information sources. Searches in English and Spanish were carried out using the keywords Ebola, Zika, dengue, chikungunya, safe food, health equity, safe sex, and obesity. Finally, information was obtained on opportunities for formal education on the subjects of digital literacy, information management, and other related topics. Results Selecting only four diseases with a high impact on public health in May 2016 and averaging minimum review time for each information product, it would take more than 50 years without sleeping to consult everything that is published online about dengue, Zika, Ebola, and chikungunya. Conclusion We conclude that public health would benefit from: health institutions implementing formal knowledge management strategies; academic health sciences institutions incorporating formal digital literacy programs; and having health workers who are professionally responsible and functional in the information society.

RESUMO Objetivos 1) Conscientizar sobre o volume de informação em saúde de qualidade existente na internet, 2) explorar a percepção dos profissionais da informação sobre o uso de fontes qualificadas na tomada de decisão em saúde e 3) fazer recomendações para reforçar o preparo dos profissionais de saúde e as competências institucionais quanto à alfabetização digital. Métodos Foi realizado estudo transversal descritivo não experimental em uma amostra não probabilística com 32 profissionais da informação de nove países. Foi coletada informação da internet sobre o volume de conteúdos existentes sobre ferramentas de internet, redes sociais e fontes de informação em saúde. Foram realizadas buscas em inglês e espanhol utilizando as palavras-chave Ebola, Zika, Dengue, Chikungunya, Safe food, Health equity, Safe sex, e Obesity. E foi obtida informação sobre a oferta de cursos de formação em alfabetização digital, gestão da informação e outros tópicos relacionados. Resultados Com a seleção de apenas quatro doenças de alto impacto em saúde pública em maio de 2016, com tempo de revisão médio mínimo para cada produto de informação, seriam necessários mais de 50 anos contínuos, sem intervalo para dormir, para consultar todo o conteúdo publicado online sobre dengue, zika, Ebola e chikungunya. Conclusão Conclui-se que existiria benefício para a saúde pública se as instituições de saúde implementassem estratégias formais de gestão do conhecimento, as instituições acadêmicas de ciências da saúde incorporassem programas formais de alfabetização digital e os profissionais de saúde investissem em desenvolvimento profissional responsável e prático na sociedade da informação.

Integrating Well-Being Information and the Multidimensional Adaptive Prediction Process to Estimate Individual-Level Future Health Care Expenditure Levels.

Decades of research exist focusing on the utility of self-reported health risk and status data in health care cost predictive models. However, in many of these studies a limited number of self-reported measures were considered. Compounding this issue, prior research evaluated models specified with a single covariate vector and distribution. In this study, the authors incorporate well-being data into the Multidimensional Adaptive Prediction Process (MAPP) and then use a simulation analysis to highlight the value of these findings for future cost mitigation. Data were collected on employees and dependents of a nationally based employer over 36 months beginning in January 2010. The first 2 years of data (2010, 2011) were utilized in model development and selection; 51239 and 54085 members were included in 2010 and 2011, respectively. The final results were based on prospective prediction of 2012 cost levels using 2011 data. The well-being-augmented MAPP results showed a 5.7% and 13% improvement in accurate cost capture relative to a reference modeling approach and the first study of MAPP, respectively. The simulation analysis results demonstrated that reduced well-being risk across a population can help mitigate the expected upward cost trend. This research advances health care cost predictive modeling by incorporating well-being information within MAPP and then leveraging the results in a simulation analysis of well-being improvement.

MOSAIC--A Modular Approach to Data Management in Epidemiological Studies.

INTRODUCTION: In the context of an increasing number of multi-centric studies providing data from different sites and sources the necessity for central data management (CDM) becomes undeniable. This is exacerbated by a multiplicity of featured data types, formats and interfaces. In relation to methodological medical research the definition of central data management needs to be broadened beyond the simple storage and archiving of research data. OBJECTIVES: This paper highlights typical requirements of CDM for cohort studies and registries and illustrates how orientation for CDM can be provided by addressing selected data management challenges. METHODS: Therefore in the first part of this paper a short review summarises technical, organisational and legal challenges for CDM in cohort studies and registries. A deduced set of typical requirements of CDM in epidemiological research follows. RESULTS: In the second part the MOSAIC project is introduced (a modular systematic approach to implement CDM). The modular nature of MOSAIC contributes to manage both technical and organisational challenges efficiently by providing practical tools. A short presentation of a first set of tools, aiming for selected CDM requirements in cohort studies and registries, comprises a template for comprehensive documentation of data protection measures, an interactive reference portal for gaining insights and sharing experiences, supplemented by modular software tools for generation and management of generic pseudonyms, for participant management and for sophisticated consent management. CONCLUSIONS: Altogether, work within MOSAIC addresses existing challenges in epidemiological research in the context of CDM and facilitates the standardized collection of data with pre-programmed modules and provided document templates. The necessary effort for in-house programming is reduced, which accelerates the start of data collection.

Characterizing the Networks of Digital Information that Support Collaborative Adaptive Forest Management in Sierra Nevada Forests.

Some of the factors that can contribute to the success of collaborative adaptive management--such as social learning, open communication, and trust--are built upon a foundation of the open exchange of information about science and management between participants and the public. Despite the importance of information transparency, the use and flow of information in collaborative adaptive management has not been characterized in detail in the literature, and currently there exist opportunities to develop strategies for increasing the exchange of information, as well as to track information flow in such contexts. As digital information channels and networks have been increased over the last decade, powerful new information monitoring tools have also been evolved allowing for the complete characterization of information products through their production, transport, use, and monitoring. This study uses these tools to investigate the use of various science and management information products in a case study--the Sierra Nevada Adaptive Management Project--using a mixed method (citation analysis, web analytics, and content analysis) research approach borrowed from the information processing and management field. The results from our case study show that information technologies greatly facilitate the flow and use of digital information, leading to multiparty collaborations such as knowledge transfer and public participation in science research. We conclude with recommendations for expanding information exchange in collaborative adaptive management by taking advantage of available information technologies and networks.

Construction of a linked health and social care database resource--lessons on process, content and culture.

BACKGROUND: Combining routinely collected health and social care data on older people is essential to advance both service delivery and research for this client group. Little data is available on how to combine health and social care data; this article provides an overview of a successful data linkage process and discusses potential barriers to executing such projects. METHODS AND RESULTS: We successfully obtained and linked data on older people within Dundee from three sources: Dundee Social Work Department database (30,000 individuals aged 65 years and over), healthcare data held on NHS Tayside patients by the Health Informatics Centre (400,000 individuals), Dundee, and the Dundee of Medicine for the Elderly rehabilitation database (4300 individuals). Data were linked, anonymized and transferred to a Safe Haven environment to ensuring confidentiality and strict access control. Challenges were faced around workflows, culture and documentation. Exploiting the resultant data set raises further challenges centered on database documentation, understanding the way data were collected, dealing with missing data, data validity and collection at different time periods. CONCLUSION: Routinely collected health and social care data sets can be linked, but significant process barriers must be overcome to allow successful linkage and integration of data and its full exploitation.

[Eleven thesis on the archive of scientific research, for a new patrimonial and scientific policy]. / Onze thèses sur les archives de la recherche pour une nouvelle politique patrimoniale et scientifique Elf thesen auf den forschungsarchiven, für eine neue wissenschaftlich- und erbpolitik.

Abstracting the main content of a recent report on the bad state of the archives of scientific research, this paper puts forward eleven thesis likely to feed, in this time of numeric transition to a new documentary regime and to a new patrimonial policy. The recent numeric conditions impose to set new archival pratices, more proactive, anticipative and prospective. Archives of scientific research must be thought in a double memorial and scientific dimension, and not only as a patrimonial or historical one.

Description and analysis of design and intended use for Epidemiologic Dynamic Data Collection Platform in China.

Disease surveillance systems can be extremely valuable tools and a critical step in system implementation is data collection. In order to obtain quality data efficiently and align the public health business process, Epidemiologic Dynamic Data Collection platform (EDDC) was developed and applied in China. We describe the design of EDDC and assess the platform from six dimensions (service, system, information, use, users and benefit) under the DeLone and McLean Information System Success Model. Objective indicators were extracted from each dimension with the aim of describing the system in detail. The characteristics of functions, performances, usages and benefits of EDDC were reflected under the analysis framework. The limitations and future directions of EDDC are offered for wide use in public health data collection.

Key elements of high-quality practice organisation in primary health care: a systematic review.

OBJECTIVES: To identify elements that are integral to high-quality practice and determine considerations relating to high-quality practice organisation in primary care. STUDY DESIGN: A narrative systematic review of published and grey literature. DATA SOURCES: Electronic databases (PubMed, CINAHL, the Cochrane Library, Embase, Emerald Insight, PsycInfo, the Primary Health Care Research and Information Service website, Google Scholar) were searched in November 2013 and used to identify articles published in English from 2002 to 2013. Reference lists of included articles were searched for relevant unpublished articles and reports. DATA SYNTHESIS: Data were configured at the study level to allow for the inclusion of findings from a broad range of study types. Ten elements were most often included in the existing organisational assessment tools. A further three elements were identified from an inductive thematic analysis of descriptive articles, and were noted as important considerations in effective quality improvement in primary care settings. CONCLUSION: Although there are some validated tools available to primary care that identify and build quality, most are single-strategy approaches developed outside health care settings. There are currently no validated organisational improvement tools, designed specifically for primary health care, which combine all elements of practice improvement and whose use does not require extensive external facilitation.