Meeting Posters

Featured Poster

MS Clinical Phenotypes: Using Technology to Educate Patients and Optimize Treatment

@Point of Care and Multiple Sclerosis Association of America (MSAA) have collaborated to develop complementary apps for use by patients and their clinicians that facilitate sharing of data: Multiple Sclerosis @Point of Care, a clinician app, and My MS ManagerTM, a HIPAA-compliant patient app. Further to that, @Point of Care and MSAA collaborated on a clinical phenotype program that encouraged MS patients to know their clinical phenotype, clinical course, and implications for treatment for discussion with their clinician. The results from the phenotype program and their implications are being presented at the 2020 Consortium of Multiple Sclerosis Centers (CMSC) Virtual Poster Showcase. View Poster


  • MS Clinical Phenotypes: Using Technology to Educate Patients and Optimize Treatment

    @Point of Care and Multiple Sclerosis Association of America (MSAA) have collaborated to develop complementary apps for use by patients and their clinicians that facilitate sharing of data: Multiple Sclerosis @Point of Care, a clinician app, and My MS Manager™, a HIPAA-compliant patient app. Further to that, @Point of Care and MSAA collaborated on a clinical phenotype program that encouraged MS patients to know their clinical phenotype, clinical course, and implications for treatment for discussion with their clinician. The results from the phenotype program and their implications are being presented at the 2020 Consortium of Multiple Sclerosis Centers (CMSC) Virtual Poster Showcase.
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  • Technology Improves Real-Time Clinical Decision Making and Immuno-Oncology Survivors.

    The Accreditation Council for Continuing Medical Education (ACCME) had a call for submissions to “Share Your CME Story,” allowing accredited providers to share examples of real-world exemplary practices to help enable CME providers to learn from each other, continually improve their education, and demonstrate how accredited CME measurably improves healthcare. On May 7-8, 2020, the ACCME held their 2020 Annual Meeting online. Our story, Technology Improves Real-Time Clinical Decision Making and Immuno-Oncology Survivors, was chosen and highlighted as part of the meeting, which hosted 2,100 participants from 1,100 organizations.
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  • NSCLC: Integrating The “Yale Model Shared Decision-Making Solution” into the Practice Setting

    @Point of Care, Dartmouth, Projects In Knowledge, and Yale collaborated to develop a pilot educational initiative to address and improve patient-centered care and shared decision making (SDM) processes for a multidisciplinary Yale Non-Small Cell Lung Cancer (NSCLC) team in an institutional cancer care setting. Qualitative semi-structured interviews and case role-play scenarios were used to assess changes in understanding and practice behavior by team members from baseline to post-educational interventions. This pilot demonstrated improvement in SDM skills by all participating Yale NSCLC team members. The collaborative partnership presented these findings in a poster at ASCO 2020, demonstrating the acceptability, feasibility, and repeatability of the program to inform future education.
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  • Cognitive Impairment in Multiple Sclerosis: A Look at Phenotypes

    Cognitive Impairment in Multiple Sclerosis: A Look at Phenotypes The Multiple Sclerosis Association of America (MSAA) and @Point of Care have collaborated and developed complementary apps for use by patients and their clinicians which facilitate sharing of data: My MS Manager™, a patient app, and Multiple Sclerosis @Point of Care, a clinician app, respectively. In a recent collaboration, MSAA and […]
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  • How Are New Technologies Affecting Patient Health?

    How Are New Technologies Affecting Patient Health? Projects In Knowledge, along with its technology partner @Point of Care, has developed a clinician learning and cognitive decision-making CME platform, paired with a HIPAA-compliant patient companion app, on Rheumatoid Arthritis. The @Point of Care platform uses AI and cognitive learning paired with natural language processing in the form of Ask with Watson […]
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