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Competing Interests: Competing interests: None declared.

Digital phenotyping will potentially enable earlier detection and prediction of mental illness by monitoring human interaction with and through digital devices. Notwithstanding its promises, it is certain that a person's digital phenotype will at times be at odds with their first-person testimony of their psychological states. In this paper, we argue that there are features of digital phenotyping in the context of psychiatry which have the potential to exacerbate the tendency to dismiss patients' testimony and treatment preferences, which can be instances of epistemic injustice. We first explain what epistemic injustice is, and why it is argued to be an extensive problem in health and disability settings. We then explain why epistemic injustice is more likely to apply with even greater force in psychiatric contexts, and especially where digital phenotyping may be involved. Finally, we offer some tentative suggestions of how epistemic injustice can be minimised in digital psychiatry., (© 2023. The Author(s).)

Context: A rapidly growing body of evidence shows the positive benefits of integrative medicine (IM) services for patients in hospital-based settings. IM therapies, such as acupuncture, massage, meditation and relaxation, and animal-assisted therapy, reduce symptom burden of pain, anxiety, and stress and increase sense of well-being and satisfaction in hospitalized patients. Current challenges facing hospitals are to move beyond proof-of-concept studies and to provide hospital-based IM therapies., Objective: The aim of our quality improvement project was to develop, implement, and evaluate a feasible, scalable, hospital-based "best practice" model for increasing demand for IM services and optimizing their delivery., Design: A multidisciplinary team convened to use quality improvement tools to outline a process for providing IM services., Setting: A large academic medical center in the Midwestern United States., Participants: IM leadership staff, IM providers, nurses, hospital team members, support staff, and quality improvement staff., Interventions: After determining baseline levels of demand and service delivery, we sought to (1) increase nursing staff awareness of available IM services; (2) improve communication between IM providers and nurses; and (3) reinforce communication at the level of nurse supervisors, patients, and family members., Main Outcome Measures: We recorded the numbers and types of IM services ordered at baseline and postimplementation and determined the new delivery rate of requested services., Results: We noted an increase in the number of IM orders, percentage of delivered IM services, and percentage of patients who reported that IM services improved their hospital stay., Competing Interests: Declaration of Conflicting Interests The authors declare that there is no conflict of interest., (Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.)

Shared decision making is a process that has empowered specialty nurses at the Mayo Clinic in Rochester, MN, to solve a practice concern. Staff nurses recognized a lack of concise, collated information available that described what nurses need to know when caring for patients receiving chemotherapy. Many aspects of the administration process were knowledge and experience based and not easily retrievable. The Hematology/Oncology/Blood and Marrow Transplant Clinical Practice Committee identified this as a significant practice issue. Ideas were brainstormed regarding how to make the information available to nursing colleagues. The Chemotherapy Yellow Pages is a resource that was developed to facilitate the rapid retrieval of pertinent information for bedside nurses. The content of this article outlines a'model of shared decision making and the processes used to address and resolve the practice concern.

Increasingly complex bioinformatic analysis is necessitated by the plethora of sequence information currently available. A total of 21 poxvirus genomes have now been completely sequenced and annotated, and many more genomes will be available in the next few years. First, we describe the creation of a database of continuously corrected and updated genome sequences and an easy-to-use and extremely powerful suite of software tools for the analysis of genomes, genes, and proteins. These tools are available free to all researchers and, in most cases, alleviate the need for using multiple Internet sites for analysis. Further, we describe the use of these programs to identify conserved families of genes (poxvirus orthologous clusters) and have named the software suite POCs, which is available at www.poxvirus.org. Using POCs, we have identified a set of 49 absolutely conserved gene families-those which are conserved between the highly diverged families of insect-infecting entomopoxviruses and vertebrate-infecting chordopoxviruses. An additional set of 41 gene families conserved in chordopoxviruses was also identified. Thus, 90 genes are completely conserved in chordopoxviruses and comprise the minimum essential genome, and these will make excellent drug, antibody, vaccine, and detection targets. Finally, we describe the use of these tools to identify necessary annotation and sequencing updates in poxvirus genomes. For example, using POCs, we identified 19 genes that were widely conserved in poxviruses but missing from the vaccinia virus strain Tian Tan 1998 GenBank file. We have reannotated and resequenced fragments of this genome and verified that these genes are conserved in Tian Tan. The results for poxvirus genes and genomes are discussed in light of evolutionary processes.

Poxvirus Orthologous Clusters (POCs) is a JAVA client-server application which accesses an updated database containing all complete poxvirus genomes; it automatically groups orthologous genes into families based on BLASTP scores for assessment by a human database curator. POCs has a user-friendly interface permitting complex SQL queries to retrieve interesting groups of DNA and protein sequences as well as gene families for subsequent interrogation by a variety of integrated tools: BLASTP, BLASTX, TBLASTN, Jalview (multiple alignment), Dotlet (Dotplot), Laj (local alignment), and NAP (nucleotide to amino acid alignment).