Bridging the gap in medical informatics and health services research: workshop results and next steps

Opportunities and obstacles using a clinical decision support system for maternal care in Burkina Faso

OBJECTIVE

Maternal and neonatal mortality is high in sub-Saharan Africa. To support Healthcare Workers (HCWs), a computerized decision support system (CDSS) was piloted at six rural maternal care units in Burkina Faso. During the two years of the study period, it was apparent from reports that the CDSS was not used regularly in clinical practice. This study aimed to explore the reasons why HCWs failed to use the CDSS.

METHODS

A workshop, organized as group discussions and a plenary session, was performed with 13 participants to understand their experience with the CDSS and suggest improvements if pertinent. Workshop transcripts were analyzed thematically. Socio-demographic and usage patterns of the CDSS were examined by a questionnaire and analyzed descriptively.

RESULTS

The participants reported that the contextual basic conditions for using the CDSS were not fulfilled. These included unreliable power supply, none user-friendly partograph, the CDSS was not integrated with workflow and staff lacked motivational incentives. Despite these limitations, the HCWs reported learning benefits from guidance and alerts in the CDSS. Using the CDSS enabled them to discover problems earlier as they learned to focus on symptoms to prevent harmful situations.

CONCLUSION

The CDSS was not tailored to the needs and context of the users. The HCWs, defined their needs and suggested how the CDSS should be re-designed. This suggests that the successful and regular usage of any CDSS in rural settings requires the involvement of users throughout the construction and pilot-testing phases and not only during the early prototype design period.

Computer Science, Biology and Biomedical Informatics academy: Outcomes from 5 years of Immersing High-school Students into Informatics Research

The University of Pittsburgh's Department of Biomedical Informatics and Division of Pathology Informatics created a Science, Technology, Engineering, and Mathematics (STEM) pipeline in 2011 dedicated to providing cutting-edge informatics research and career preparatory experiences to a diverse group of highly motivated high-school students. In this third editorial installment describing the program, we provide a brief overview of the pipeline, report on achievements of the past scholars, and present results from self-reported assessments by the 2015 cohort of scholars. The pipeline continues to expand with the 2015 addition of the innovation internship, and the introduction of a program in 2016 aimed at offering first-time research experiences to undergraduates who are underrepresented in pathology and biomedical informatics. Achievements of program scholars include authorship of journal articles, symposium and summit presentations, and attendance at top 25 universities. All of our alumni matriculated into higher education and 90% remain in STEM majors. The 2015 high-school program had ten participating scholars who self-reported gains in confidence in their research abilities and understanding of what it means to be a scientist.

Building the informatics infrastructure for comparative effectiveness research (CER): a review of the literature

BACKGROUND

Technological advances in clinical informatics have made large amounts of data accessible and potentially useful for research. As a result, a burgeoning literature addresses efforts to bridge the fields of health services research and biomedical informatics. The Electronic Data Methods Forum review examines peer-reviewed literature at the intersection of comparative effectiveness research and clinical informatics. The authors are specifically interested in characterizing this literature and identifying cross-cutting themes and gaps in the literature.

METHODS

A 3-step systematic literature search was conducted, including a structured search of PubMed, manual reviews of articles from selected publication lists, and manual reviews of research activities based on prospective electronic clinical data. Two thousand four hundred thirty-five citations were identified as potentially relevant. Ultimately, a full-text review was performed for 147 peer-reviewed papers.

RESULTS

One hundred thirty-two articles were selected for inclusion in the review. Of these, 88 articles are the focus of the discussion in this paper. Three types of articles were identified, including papers that: (1) provide historical context or frameworks for using clinical informatics for research, (2) describe platforms and projects, and (3) discuss issues, challenges, and applications of natural language processing. In addition, 2 cross-cutting themes emerged: the challenges of conducting research in the absence of standardized ontologies and data collection; and unique data governance concerns related to the transfer, storage, deidentification, and access to electronic clinical data. Finally, the authors identified several current gaps on important topics such as the use of clinical informatics for cohort identification, cloud computing, and single point access to research data.

Building better connections: the National Library of Medicine and public health

PURPOSE

The paper describes the expansion of the public health programs and services of the National Library of Medicine (NLM) in the 1990s and provides the context in which NLM's public health outreach programs arose and exist today.

BRIEF DESCRIPTION

Although NLM has always had collections and services relevant to public health, the US public health workforce made relatively little use of the library's information services and programs in the twentieth century. In the 1990s, intensified emphases on outreach to health professionals, building national information infrastructure, and promoting health data standards provided NLM with new opportunities to reach the public health community. A seminal conference cosponsored by NLM in 1995 produced an agenda for improving public health access to and use of advanced information technology and electronic information services. NLM actively pursued this agenda by developing new services and outreach programs and promoting public health informatics initiatives.

METHOD

Historical analysis is presented.

RESULTS/OUTCOME

NLM took advantage of a propitious environment to increase visibility and understanding of public health information challenges and opportunities. The library helped create partnerships that produced new information services, outreach initiatives, informatics innovations, and health data policies that benefit the public health workforce and the diverse populations it serves.

Design and evaluation in eHealth: challenges and implications for an interdisciplinary field

Much has been written about insufficient user involvement in the design of eHealth applications, the lack of evidence demonstrating impact, and the difficulties these bring for adoption. Part of the problem lies in the differing languages, cultures, motives, and operational constraints of producers and evaluators of eHealth systems and services. This paper reflects on the benefits of and barriers to interdisciplinary collaboration in eHealth, focusing particularly on the relationship between software developers and health services researchers. It argues that the common pattern of silo or parallel working may be ameliorated by developing mutual awareness and respect for each others’ methods, epistemologies, and contextual drivers and by recognizing and harnessing potential synergies. Similarities and differences between models and techniques used in both communities are highlighted in order to illustrate the potential for integrated approaches and the strengths of unique paradigms. By sharing information about our research approaches and seeking to actively collaborate in the process of design and evaluation, the aim of achieving technologies that are truly user-informed, fit for context, high quality, and of demonstrated value is more likely to be realized. This may involve embracing new ways of working jointly that are unfamiliar to the stakeholders involved and that challenge disciplinary conventions. It also has policy implications for agencies commissioning research and development in this area.

Breaking the Translational Barriers: The Value of Integrating Biomedical Informatics and Translational Research

The conduct of translational health research has become a vital national enterprise. However, multiple barriers prevent the effective translation of basic science discoveries into clinical and community practice. New information technology (IT) applications could help address these barriers. Unfortunately, owing to a combination of organizational, technical, and social factors, neither physician-investigators and research staff nor their clinical and community counterparts have harnessed such applications. Recently, at the request of the Institute of Medicine's Clinical Research Roundtable, a qualitative study of these factors was conducted at several leading academic medical centers. We explore the current status of IT in the translational research domain, describe the qualitative results, and conclude with a proposed set of initiatives to further increase the integration of IT into translational research.

Developing Data for Practice and Management

As in other countries, the Australian healthcare industry is replete with massive data collections, often not used effectively to generate meaningful information to inform decision making, particularly at the operational or clinical level. While senior administrators and planners may use the data for forecasting or benchmarking, it is imperative that clinicians, including nurses and nurse managers, appreciate the value of the data and develop the knowledge and skills to access, analyze, and use it to inform their decision making. Only in the last decade or so have increasing numbers of nurses moved toward higher levels of information technology competence, particularly as information technology applications entered the healthcare sector. Facility in understanding standard administrative data is an important new skill for nurses who have an interest in information management. It is a skill that can readily be taught and its value becomes clearly evident to the students. This article describes an Australian University's Faculty of Nursing's approach to teaching this material at the master's level.

Internet infrastructures and health care systems: a qualitative comparative analysis on networks and markets in the British National Health Service and Kaiser Permanente

BACKGROUND

The Internet and emergent telecommunications infrastructures are transforming the future of health care management. The costs of health care delivery systems, products, and services continue to rise everywhere, but performance of health care delivery is associated with institutional and ideological considerations as well as availability of financial and technological resources.

OBJECTIVE

to identify the effects of ideological differences on health care market infrastructures including the Internet and telecommunications technologies by a comparative case analysis of two large health care organizations: the British National Health Service and the California-based Kaiser Permanente health maintenance organization.

METHODS

A qualitative comparative analysis focusing on the British National Health Service and the Kaiser Permanente health maintenance organization to show how system infrastructures vary according to market dynamics dominated by health care institutions ("push") or by consumer demand ("pull"). System control mechanisms may be technologically embedded, institutional, or behavioral.

RESULTS

The analysis suggests that telecommunications technologies and the Internet may contribute significantly to health care system performance in a context of ideological diversity.

CONCLUSIONS

The study offers evidence to validate alternative models of health care governance: the national constitution model, and the enterprise business contract model. This evidence also suggests important questions for health care policy makers as well as researchers in telecommunications, organizational theory, and health care management.

Integrating medical informatics and health services research: the need for dual training at the clinical health systems and policy levels

Reams of data pertaining directly to the core health services research mission are accumulating in large-scale organizational and clinical information systems. Health services researchers who grasp the structure of information systems and databases and the function of software applications can use existing data more effectively, assist in establishing new databases, and develop new tools to survey populations and collect data. At the same time, informaticians are needed who can structure databases that serve the needs of health service research and who can design and evaluate applications that effectively improve health care delivery. As long as health services researchers and informaticians work in separate spheres, however, opportunities to use data from health care encounters to improve care, expand knowledge, and develop more effective policies will be missed. This paper provides a brief exploration of 1) existing successful collaborations between health services researchers and informaticians and 2) needs and opportunities for additional joint work in several core research areas.