Interpreting Laboratory Results with Complementary Health Information: A Human Factors Perspective.

The desire to access personal and high-quality health information electronically is increasing, not only in Canada, but globally. With the advent of the COVID - 19 pandemic the desire and demand for telemedicine and timely access to personal health data such as online laboratory (lab) results has increased substantially. This study examines citizens' perspectives of being provided with high-quality information about a specific lab test (i.e., potassium) in the same display as a trend graph. Therefore, the objective of this study is to test how participants managed this additional information about the context of the test, understood, and applied it. The researchers analyzed the responses of semi-structured interviews with Canadian participants (N=24) using conventional content analysis. This paper examined four themes related to providing complementary information concurrently with lab results in the same display: 1) Benefits of Collocated Information, 2) Information Overload, 3) Misinterpretation, 4) Confusion. This study provided examples of some of the difficulties that the participants faced accessing their lab values online, while navigating and discerning complimentary high-quality health information available in their patient portal.

Tabular, Annotated, Visual, or Trends + Contextual Information? Preferences for Online Laboratory Results Displays.

People are increasingly offered access to their personal health information (e.g., laboratory results, clinical notes, diagnostic imaging results). However, this information is the same as that used by health care providers with clinical expertise and training in medical terminology, which citizens typically do not have. In this study, we examined participants (N = 24) preferences for four different types of displays for online laboratory (lab) results: Tabular, Annotated, Visual, and Trends + Contextual Information. The Friedman test of difference comparing participants' ratings of the four displays was significant, χ2(3)=10.8, P=.013, and the Wilcoxon signed rank pairwise comparison tests revealed that participants rated the visual lab results display significantly more favourably than the traditional display (Z=-2.746, P=.006). These findings indicate that many people prefer lab results displayed using more visual cues and some perceived this format as easier to understand than the other display formats. Given the importance of people accessing, understanding, and using their own health information, it is crucial for displays and systems to provide a better user experience. Displaying data (e.g., lab results) visually is one possible way to improve interpretability of personal health information provided to the public.

Applying Logic to the Healthcare Journey.

Cross-disciplinary approaches to remediate complex healthcare service delivery issues may have merit. This study aims to establish the potential benefits of applying service design and evaluative research concepts in healthcare. Specifically, this study aims to demonstrate how a Customer Journey Map and a Logic Model could be used in unison to identify and remedy service delivery gaps to reduce barriers to care. This study provides systems thinking approach to solving operational issues in healthcare.

A Human-Centered Physician Journey.

The COVID-19 pandemic has placed unprecedented strain on global health systems, and the ability to safely and effectively deliver care. Further, it has impacted the mental health of global populations, in particular healthcare providers (i.e., physicians, nurses). In a service delivery context, much can be learned about empathy both from a provider and patient lens. Thus, the literature was explored to see if the concept of journey mapping was used to illustrate the intersections and pain points of the clinical workflow along the physician journey.

Humanizing Big Data and Detailing Social Determinants of Health via Information Visualizations.

The pandemic has had devastating impacts on humanity and the global healthcare sector. An analysis into the social determinants of health, in particular racial and ethnic disparities may explain why certain population groups have been disproportionately affected by COVID-19. The objective of this study is to humanize and personify numerical data. Additionally, COVID-19 population data will be stratified via three data visualization tools (i.e., a persona, a journey map, Sankey diagram) to create a Visualized Combined Experience (VCE) Diagram to illustrate the micro, and macro, perspectives of marginalized individuals across the continuum of care.

Exploring Patient Journey Mapping and the Learning Health System: Scoping Review.

BACKGROUND: Journey maps are visualization tools that can facilitate the diagrammatical representation of stakeholder groups by interest or function for comparative visual analysis. Therefore, journey maps can illustrate intersections and relationships between organizations and consumers using products or services. We propose that some synergies may exist between journey maps and the concept of a learning health system (LHS). The overarching goal of an LHS is to use health care data to inform clinical practice and improve service delivery processes and patient outcomes. OBJECTIVE: The purpose of this review was to assess the literature and establish a relationship between journey mapping techniques and LHSs. Specifically, in this study, we explored the current state of the literature to answer the following research questions: (1) Is there a relationship between journey mapping techniques and an LHS in the literature? (2) Is there a way to integrate the data from journey mapping activities into an LHS? (3) How can the data gleaned from journey map activities be used to inform an LHS? METHODS: A scoping review was conducted by querying the following electronic databases: Cochrane Database of Systematic Reviews (Ovid), IEEE Xplore, PubMed, Web of Science, Academic Search Complete (EBSCOhost), APA PsycInfo (EBSCOhost), CINAHL (EBSCOhost), and MEDLINE (EBSCOhost). Two researchers applied the inclusion criteria and assessed all articles by title and abstract in the first screen, using Covidence. Following this, a full-text review of included articles was done, with relevant data extracted, tabulated, and assessed thematically. RESULTS: The initial search yielded 694 studies. Of those, 179 duplicates were removed. Following this, 515 articles were assessed during the first screening phase, and 412 were excluded, as they did not meet the inclusion criteria. Next, 103 articles were read in full, and 95 were excluded, resulting in a final sample of 8 articles that satisfied the inclusion criteria. The article sample can be subsumed into 2 overarching themes: (1) the need to evolve service delivery models in health care, and (2) the potential value of using patient journey data in an LHS. CONCLUSIONS: This scoping review demonstrated the gap in knowledge regarding integrating the data from journey mapping activities into an LHS. Our findings highlighted the importance of using the data from patient experiences to enrich an LHS and provide holistic care. To satisfy this gap, the authors intend to continue this investigation to establish the relationship between journey mapping and the concept of LHSs. This scoping review will serve as phase 1 of an investigative series. Phase 2 will entail the creation of a holistic framework to guide and streamline data integration from journey mapping activities into an LHS. Lastly, phase 3 will provide a proof of concept to demonstrate how patient journey mapping activities could be integrated into an LHS.

The Utilization of Health Informatics Interventions in the COVID-19 Pandemic: A Scoping Review.

On March 11, 2020, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the highly infectious virus that causes coronavirus disease (COVID-19), was characterized by the World Health Organization (WHO) as a global pandemic [1,2]. Due to its highly contagious nature, COVID-19 has catalyzed the introduction of non-pharmaceutical interventions such as social distancing and quarantine measures [6]. Thus, the pandemic has shifted society to become reliant on healthcare technologies. The objective of this scoping review is to establish what health informatics interventions have been applied, validated and tested globally during the COVID-19 pandemic. The findings demonstrated a range of 12 types of health informatics interventions with various global applications and use. As evidenced by the intervention heterogeneity, the necessity to adopt a global cohesive strategy to improve human safety through the utilization of smart, efficient, and communicable technologies is vital.

An Evaluation Guide and Decision Support Tool for Journey Maps in Healthcare and Beyond.

The journey map concept evolved out of the service design field and is still relatively new in the healthcare landscape [1]. Journey maps are visualizations that effectively highlight organizational issues and allow stakeholder groups to be depicted by interest or function for a comparative visual analysis [2]. There are five journey map approaches: 1) Mental (Cognitive) Model Map, 2) Customer Journey Map, 3) Experience Map, 4) Service Blueprint Map, 5) Spatial Map. The objective of this article is three-fold: 1) quantify and delineate the journey mapping visualization techniques utilized from the phase 1 scoping review [2], 2) create a Journey Map Evaluation Guide, 3) create a Journey Map Decision Support Tool to facilitate a standardized method for journey map selection. For those less familiar with journey mapping, this framework can serve as a decision-making tool to facilitate the most effective choice among the different journey mapping visualization approaches. The tools presented in this study can provide a mechanism to standardize the assessment, classification and utilization of journey maps in the healthcare sector and industries abound.

Contextualizing Online Laboratory (lab) Results and Mapping the Patient Journey.

The 21st century has brought forth unprecedented technological advances, such as the advent of portable digital devices [1]. This trend has also permeated the health care sector, with the introduction of digital health services, like providing citizens with access to their online laboratory (lab) results. This qualitative study will illustrate the patient journey, namely participant 16 (P16), to address the research question: what phases does a person go through when accessing their lab results online? The findings revealed that lab results were accessed from two types of devices a tablet (e.g., portable computer) when at home and a mobile phone when away from home. We also found that interpretation of results can be a challenge and it was unclear if P16 was able to understand her lab results. To illustrate the complexity of interpreting and accessing online lab results, the authors created a Customer Journey Map to contextualize the experiences of P16. The journey map depicts a combination of factors such as: eHealth literacy, limited access to providers, difficulty interpreting lab test results. Additionally, recommendations for online lab portal functionality enhancements were discovered through the mapping exercise. This study demonstrated that along with providing citizens with access to digital health technologies and services, considerations to eHealth literacy, the digital divide and health equity are paramount. As evidenced by the visualization, journey maps hold promise to serve as efficient tools to build empathy and identify the unique needs and perspectives of citizens.

Are Personal Health Records (PHRs) Facilitating Patient Safety? A Scoping Review.

Personal Health Records (PHRs) are poised to improve patient safety, however the mechanism(s) in which they improve safety is not clear. To this end, we conducted a scoping review with the following objectives: 1) explore the extent of the evidence that PHRs improve patient safety, 2) determine where PHR research has been done per International Medical Informatics Association (IMIA) Represented Region [1], 3) to identify the PHR naming convention(s) used per IMIA Region [1]. The findings revealed that there is limited evidence that PHRs improve patient safety. The results also revealed heterogeneity in PHR nomenclature and how they were used in healthcare settings. However, the overarching theme of the study, was that future research is needed to ensure that PHRs are designed and used in a patient safety context with human factors and usability considerations.

Why Do People Use Online Lab Results and What Do They Look For: A Qualitative Study.

Laboratory (lab) test results are increasingly available online for patient review. However, there is a dearth of research with respect to users' information needs, goals, and information processing strategies. In this exploratory qualitative study, we interviewed a sample of (N = 25) online lab results users to understand their objectives and search targets. We transcribed their responses and used affinity diagramming to identify themes in their responses. Our analysis identified six reasons why people look at their online lab results (i.e., health status, reassurance, health education, speed, self-management, and patient safety) and two themes about what people look for (i.e., abnormal and normal values, trends). Knowing what drives users and what information they are looking for can inform the design of online lab reporting, improve usefulness, and better satisfy user needs.

Evaluative Frameworks and Models for Health Information Systems (HIS) and Health Information Technologies (HIT).

Evaluation criteria for health information systems (HIS) and health information technologies (HIT) is broad, diverse and lacks a gold standard approach that could be leveraged, to evaluate clinical systems at various stages of their system development life cycle (SDLC). Without generalizable tools such as frameworks or models, comparative analysis across HIS and HIT is not possible. This paper presents the findings from a scoping review, utilizing the Arksey and O'Malley methodology [1]. The objective of this review is two-fold: 1) to classify models and frameworks published between the years 2010-2020 according to their level of evaluative focus (e.g. micro, meso, macro, multi), 2) to identify the countries where these models and frameworks have been employed for the purpose of evaluation, using the International Medical Informatics Association (IMIA) Represented Regions [3]. The results demonstrated the heterogeneity of evaluation models and frameworks currently used in health informatics and reflected the necessity for more adaptive approaches to HIS and HIT evaluation.