Members of the LGBTQ — lesbian, gay, bisexual, transgender, and queer – community often face health disparities linked to social stigma, discrimination, and denial of civil and human rights. Data systems used to monitor LGBTQ populations and their health needs are sparse and healthcare environments have been slow to openly acknowledge this community.
Those who serve as health and staff educators have the power to drive effective changes to create a welcoming environment for LGBTQ patients, families, and caregivers.
Tips for creating an inclusive clinical setting:
- Identify as an ally: Offer an online directory of health care providers and administrative staff who have self-identified as LGBTQ trained, allies and/or “out.”
- Host a workshop: Human Resources and/or hospital Diversity Committees may offer workshops for staff on how to provide LGBTQ-sensitive care. The Safe Zone Project is a free online resource that can be used to create curriculums on LGBTQ awareness.
- Offer visual cues: In outward-facing materials, such as health education resources and marketing campaigns use imagery of same sex couples and families. Post signage near restrooms that welcome use based on gender identity.
- Collect data: Integrate sexual orientation and gender identity demographic questions into the electronic health record. Patients have the right to opt in or out of self-identifying.
- Get patient’s preferred name and pronouns: During the registration or medical history process, ask the patient for their preferred name/pronoun and document it in the electronic health record (note that the name may not match insurance and identification documents).
- Be sensitive when discussing relationships. When asking about relationships, use terms such as “unmarried partner” and “spouse.” Ask the gender of sexual partners as well as gynecologic history (many transgender men retain a cervix, uterus, and breast tissue).
- GLMA Guidelines for Care of LGBT Patients (PDF), Gay and Lesbian Medical Association
- GLMA Provider Directory, Gay and Lesbian Medical Association
- Learning to Address Implicit Bias Towards LGBTQ Patients: Case Scenarios (PDF), National LGBT Health Education Center
- Meeting the health care needs of LGBT older adults (video), National Center for Health in the Aging
- Physician Resources for an LGBTQ-inclusive Practice, American Medical Association
- Providing Inclusive Services and Care for LGBT People: A Guide for Health Center Staff (PDF), National LGBT Health Education Center
- Ready, Set, Go! Guidelines and tips for collecting patient data on sexual orientation and gender identity (PDF), National LGBT Health Education Center
- Understanding the Health Needs of LGBT People (PDF), Fenway Institute
- Why gather data on sexual orientation and gender identity in clinical settings (PDF), Fenway Institute
-Dana Abbey, Community Engagement Coordinator
NIH is excited to announce that registration is open for a full-day public workshop, “Harnessing Artificial Intelligence and Machine Learning to Advance Biomedical Research,” Monday, July 23, 2018, 8:45 a.m. – 4:40 p.m. at the Porter Neuroscience Research Center, Building 35 on the NIH Main Campus. To explore the opportunities for artificial intelligence (AI) and machine learning (ML) in biomedical research, NIH will bring together leaders in innovation and science for a robust and in-depth discussion.
Presenters at the workshop include leading experts from Amazon and IBM, and scientists at the National Institutes of Health Clinical Center, Massachusetts Institute of Technology, Stanford University, and the University of Cincinnati who are employing AI/ML in biomedical research settings. Craig Mundie, who served on the President’s Council of Advisors on Science and Technology (PCAST) and was formerly Microsoft’s Chief Research Strategy Officer, will deliver the keynote address. Speakers will engage with workshop participants on AI and ML topics such as integration into healthcare, future uses in biomedical research, the potential for enhancing clinical care and scientific discovery, and ethical considerations.
For additional details on the Workshop, Speakers and Agenda, please visit the workshop webpage.
To attend the Workshop, participants must register. Please note that space is limited.
The Workshop will be available and archived on Videocast: https://videocast.nih.gov/summary.asp?live=28053&bhcp=1
The newest video on the NCBI YouTube channel introduces the Sequence Viewer embedding API. A few quick examples illustrate how easy it is to embed Sequence Viewer into your own pages.
Sequence Viewer is a graphical view of sequences and color-coded annotations on regions of sequences stored in the Nucleotide and Protein databases.
Subscribe to the NCBI YouTube channel to receive alerts about new videos ranging from quick tips to full webinar presentations.
The Gene resource from NCBI is a central hub for accessing nearly all molecular and literature resources for a particular gene. You can easily answer the most common questions and perform the most common tasks by starting in Gene.
In this webinar you will learn about the structure and contents of the Gene resource and how to use Gene to answer the following questions about a gene:
- Where is the gene located (chromosome and position) in the genome assembly?
- What are the Reference genomic, transcript and protein sequences for the gene?
- What variations are present in the gene and are they associated with disease?
- In what tissues and under what conditions is the gene expressed?
- What are the equivalent genes (homologs) in other species?
Peter Cooper and Bonnie Maidak, NCBI
Mar 9, 2017
1:00PM – 2:00PM ET
NCBI staff will discuss the systems in the NCBI Gene and PubChem resources that identify and correlate various names used for genes, proteins, and chemicals.
Date and time: February 8, 2017 10:00 AM MT
To register: https://attendee.gotowebinar.com/register/6498213056303481858
After registering, you will receive a confirmation email with information about attending the Webinar. After the live presentation, the Webinar will be uploaded to the NCBI YouTube channel. Any related materials will be accessible on the Webinars and Courses page.
A new beta version of ClinicalTrials.gov is available for user testing. The test site can be accessed from a link on the homepage (see Figure 1) or directly at https://clinicaltrials.gov/beta/. The beta site will be available for at least one month to obtain feedback from the public. The new version of ClinicalTrials.gov was developed to provide new features to support searching for clinical studies.
Key features of the beta version include:
- “Filters” for refining search results
- “Show/Hide Columns” for customizing the display of search results
- “Saved Studies” for storing and retrieving particular study records of interest
For more information, please visit the National Library of Medicine’s Technical Bulletin.
The NCBI Multiple Sequence Alignment Viewer (MSAV) is a versatile web application that helps you visualize and interpret MSAs for both nucleotide and amino acid sequences. You can display alignment data from many sources, and the viewer is easily embedded into your own web pages with customizable options. An even simpler way to use MSAV is to use their page, upload your data, and share the link to a fully functional viewer displaying your results. Click here for more information.