Empowering diversity: striving for inclusivity by leveraging the American Medical Informatics Association's "For Your Informatics" Podcast.

Importance: Starting in 2018, the 'Women in American Medical Informatics Association (AMIA) Podcast' was women-focused, in 2021 the podcast was rebranded and relaunched as the "For Your Informatics Podcast" (FYI) to expand the scope of the podcast to include other historically underrepresented groups. That expansion of the scope, together with a rebranding and marketing campaign, led to a larger audience and engagement of the AMIA community. Objectives: The goals of this case report are to characterize our rebranding and expanding decisions, and to assess how they impacted our listenership and engagement to achieve the Podcast goals of increasing diversity among the Podcast team, guests, audience, and improve audience engagement. Materials and Methods: This descriptive case study is focused on the FYI Podcast team's processes to develop a revised mission, vision, and values, increase the diversity of guests, augment listenership through social media, and track the reach through the number of followers, downloads, and impressions. Results: As of December 2023, 35 FYI Podcast episodes are available with 685 social media followers, over 20 000 downloads, and nearly 145 000 impressions. In addition to introductions to informatics and loyal listeners within AMIA, the FYI Podcast episodes have been used by students as teaching material in a graduate biomedical informatics curriculum, and as introductory material for student clubs and programs. Discussion: The Podcast relaunching led to 98% of guests from underrepresented groups and growth in listenership by 329% since May 2021. Conclusion: The FYI Podcast supports AMIA's diversity mission, and gives voices to underrepresented groups, engages the clinical informatics community in critical conversations on justice, equity, diversity and inclusion, and supports education.

Colorectal cancer beliefs, knowledge, and screening among Filipino, Hmong, and Korean Americans.

BACKGROUND: To the authors' knowledge, there are few studies to date regarding colorectal cancer (CRC) beliefs, knowledge, and screening among multiple Asian American populations, who are reported to have lower CRC screening rates compared with white individuals. The current study was performed to assess knowledge and beliefs regarding the causes of CRC, its prevention, and factors associated with CRC screening among 3 Asian American groups. METHODS: The authors conducted an in-language survey with Filipino (Honolulu, Hawaii), Hmong (Sacramento, California), and Korean (Los Angeles, California) Americans aged 50 to 75 years who were sampled through social networks. Bivariate and multivariable analyses were conducted to assess factors associated with CRC screening. RESULTS: The sample of 981 participants was 78.3% female and 73.8% reported limited proficiency in English. Few of the participants were aware that age (17.7%) or family history (36.3%) were risk factors for CRC; 6.2% believed fate caused CRC. Only 46.4% of participants knew that screening prevented CRC (74.3% of Filipino, 10.6% of Hmong, and 55.8% of Korean participants; P<.001). Approximately two-thirds of participants reported ever having undergone CRC screening (76.0% of Filipino, 72.0% of Hmong, and 51.4% of Korean participants; P<.001) and 48.6% were up to date for screening (62.2% of Filipino, 43.8% of Hmong, and 41.4% of Korean participants; P<.001). Factors found to be significantly associated with ever screening were being Korean (compared with Filipino), having a family history of CRC, having health insurance or a regular source of health care, and knowing that a fatty diet caused CRC. Believing that fate caused CRC and that praying prevented it were found to be negatively associated with ever screening. Factors associated with being up to date for CRC screening included being born in the United States, having a family history of CRC, and having access to health care. CONCLUSIONS: Knowledge regarding the causes of CRC and its prevention among Filipino, Hmong, and Korean individuals is low. However, health care access, not knowledge or beliefs, was found to be a key determinant of CRC screening. Cancer 2018;124:1552-9. © 2018 American Cancer Society.

Dashboard visualizations: Supporting real-time throughput decision-making.

Providing timely and effective care in the emergency department (ED) requires the management of individual patients as well as the flow and demands of the entire department. Strategic changes to work processes, such as adding a flow coordination nurse or a physician in triage, have demonstrated improvements in throughput times. However, such global strategic changes do not address the real-time, often opportunistic workflow decisions of individual clinicians in the ED. We believe that real-time representation of the status of the entire emergency department and each patient within it through information visualizations will better support clinical decision-making in-the-moment and provide for rapid intervention to improve ED flow. This notion is based on previous work where we found that clinicians' workflow decisions were often based on an in-the-moment local perspective, rather than a global perspective. Here, we discuss the challenges of designing and implementing visualizations for ED through a discussion of the development of our prototype Throughput Dashboard and the potential it holds for supporting real-time decision-making.

Using TURF to understand the functions of interruptions.

Interruptions are an often lamented and frequently studied aspect of clinical practice. However, some interruptions, such as updates on patient care decisions and notifications of detrimental patient lab values, are in fact necessary to the work process. In this paper, we explore the interruptions as an emergent feature of communication in teams. Looking beyond the frequency of interruptions, we consider the source and intent of interruptions with the goal of discovering the functions served by such communications. Furthermore, in this study of an emergency department, we classify interruptions into those activities that support required work and those interruptions that create unnecessary breaks in workflow. The intent of our larger body of work is to develop health information technology systems that support team efforts including the functions currently served by interruptions.

Functional silencing of guanylyl cyclase/natriuretic peptide receptor-A by microRNA interference: analysis of receptor endocytosis.

Guanylyl cyclase/natriuretic peptide receptor-A (GC-A/NPRA) is the principal receptor for the regulatory action of atrial and brain natriuretic peptides (ANP and BNP) and an important effector molecule in controlling of extracellular fluid volume and blood pressure homeostasis. We have utilized RNA interference to silence the expression of GC-A/NPRA gene (Npr1), providing a novel system to study the internalization and trafficking of NPRA in intact cells. MicroRNA (miRNA)-mediated small interfering RNA (siRNA) elicited functional gene-knockdown of NPRA in stably transfected human embryonic kidney 293 (HEK-293) cells expressing a high density of recombinant NPRA. We artificially expressed three RNA polymerase II-driven miRNAs that specifically targeted the Npr1 gene, but shared no significant sequence homology with any other known mouse genes. Reverse transcription-PCR (RT-PCR) and Northern blot analyses identified two highly efficient Npr1 miRNA sequences to knockdown the expression of NPRA. The Npr1 miRNA in chains or clusters decreased NPRA expression more than 90% as compared with control cells. ANP-dependent stimulation of intracellular accumulation of cGMP and guanylyl cyclase activity of NPRA were significantly reduced in Npr1 miRNA-expressing cells by 90-95% as compared with control cells. Treatment with Npr1 miRNA caused a drastic reduction in the receptor density subsequently a deceased internalization of radiolabeled (125)I-ANP-NPRA ligand-receptor complexes. Only 12%-15% of receptor population was localized in the intracellular compartments of microRNA silenced cells as compared to 70%-80% in control cells.

Detection and characterization of usability problems in structured data entry interfaces in dentistry.

BACKGROUND: Poor usability is one of the major barriers for optimally using electronic health records (EHRs). Dentists are increasingly adopting EHRs, and are using structured data entry interfaces to enter data such that the data can be easily retrieved and exchanged. Until recently, dentists have lacked a standardized terminology to consistently represent oral health diagnoses. OBJECTIVES: In this study we evaluated the usability of a widely used EHR interface that allow the entry of diagnostic terms, using multi-faceted methods to identify problems and work with the vendor to correct them using an iterative design method. METHODS: Fieldwork was undertaken at two clinical sites, and dental providers as subjects participated in user testing (n=32), interviews (n=36) and observations (n=24). RESULTS: User testing revealed that only 22-41% of users were able to successfully complete a simple task of entering one diagnosis, while no user was able to complete a more complex task. We identified and characterized 24 high-level usability problems reducing efficiency and causing user errors. Interface-related problems included unexpected approaches for displaying diagnosis, lack of visibility, and inconsistent use of UI widgets. Terminology related issues included missing and mis-categorized concepts. Work domain issues involved both absent and superfluous functions. In collaboration with the vendor, each usability problem was prioritized and a timeline set to resolve the concerns. DISCUSSION: Mixed methods evaluations identified a number of critical usability issues relating to the user interface, underlying terminology of the work domain. The usability challenges were found to prevent most users from successfully completing the tasks. Our further work we will determine if changes to the interface, terminology and work domain do result in improved usability.

Falling through the cracks: information breakdowns in critical care handoff communication.

Handoffs have been recognized as a major healthcare challenge primarily due to the breakdowns in communication that occur during transitions in care. Consequently, they are characterized as being "remarkably haphazard". To investigate the information breakdowns in group handoff communication, we conducted a study at a large academic hospital in Texas. We used multifaceted qualitative methods such as observations, shadowing of care providers and their work activities, audio-recording of handoffs, and care provider interviews to examine the handoff communication workflow, with particular emphasis on investigating the sources of information breakdowns. Using a mixed inductive-deductive analysis approach, we identified two critical sources for information breakdowns - lack of standardization in handoff communication events and unsuccessful completion of pre-turnover coordination activities. We propose strategic solutions that can effectively help mitigate the handoff communication breakdowns.

Opportunistic decision making and complexity in emergency care.

In critical care environments such as the emergency department (ED), many activities and decisions are not planned. In this study, we developed a new methodology for systematically studying what are these unplanned activities and decisions. This methodology expands the traditional naturalistic decision making (NDM) frameworks by explicitly identifying the role of environmental factors in decision making. We focused on decisions made by ED physicians as they transitioned between tasks. Through ethnographic data collection, we developed a taxonomy of decision types. The empirical data provide important insight to the complexity of the ED environment by highlighting adaptive behavior in this intricate milieu. Our results show that half of decisions in the ED we studied are not planned, rather decisions are opportunistic decision (34%) or influenced by interruptions or distractions (21%). What impacts these unplanned decisions have on the quality, safety, and efficiency in the ED environment are important research topics for future investigation.

Distributed cognition artifacts on clinical research data collection forms.

Medical record abstraction, a primary mode of data collection in secondary data use, is associated with high error rates. Cognitive factors have not been studied as a possible explanation for medical record abstraction errors. We employed the theory of distributed representation and representational analysis to systematically evaluate cognitive demands in medical record abstraction and the extent of external cognitive support employed in a sample of clinical research data collection forms.We show that the cognitive load required for abstraction in 61% of the sampled data elements was high, exceedingly so in 9%. Further, the data collection forms did not support external cognition for the most complex data elements. High working memory demands are a possible explanation for the association of data errors with data elements requiring abstractor interpretation, comparison, mapping or calculation. The representational analysis used here can be used to identify data elements with high cognitive demands.