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Penn Medicine to Present Multiple Clinical Trial Results at 2024 ASCO Annual Meeting

Imaging Technology

Schuchter, MD, FASCO , the Madlyn and Leonard Abramson Professor of Clinical Oncology and director of the Tara Miller Melanoma Center at Penn Medicine , is the 2023-2024 ASCO President, and the ASCO Annual Meeting program features more than 200 sessions complementing her Presidential Theme: "The Art and Science of Cancer Care: From Comfort to Cure."

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ARRS: Dartmouth poster wins for CVD risk prediction potential using mammograms

AuntMinnie

A scientific poster on cardiovascular disease (CVD) risk prediction using fat-enlarged axillary nodes visualized on screening mammograms won the Summa Cum Laude Award at the 124th American Roentgen Ray Society (ARRS) annual meeting.

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New Non-Acute Care Roadmap: HIMSS Digital Maturity Model Strategy

Imaging Technology

C-COMM is a modernized rendition of the Outpatient Electronic Medical Record Adoption Model, which measured digital maturity of outpatient clinics. “The majority of the world’s population seek their health services outside the traditional hospital setting,” said Toni Laracuente , HIMSS Sr.

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Natural Language Processing (NLP) in Spotlight at HIMSS 2023

Imaging Technology

The Boston, MA-based company has announced multiple sessions to demonstrate its industry-leading Clinical Natural Language Understanding (cNLU) technology at HIMSS 2023. They will detail how TVH captures patient attributes from their structured EMR data and unstructured medical notes at scale. in net new revenue from improved coding.

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C-COMM: HIMSS New Non-Acute Care Digital Maturity Model

Imaging Technology

C-COMM is a modernized rendition of the Outpatient Electronic Medical Record Adoption Model, which measured digital maturity of outpatient clinics. “The majority of the world’s population seek their health services outside the traditional hospital setting,” said Toni Laracuente , HIMSS Sr.

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Deep 6 AI partners with Graticule to relieve EMR data mining burdens

AuntMinnie

Deep 6 AI has partnered with Graticule to design research algorithms and real-world data services for identifying and prioritizing patients for clinical trials across different disease indications.

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Biomarker model predicts breast cancer risk without racial bias

AuntMinnie

The investigators used patient demographic data taken from electronic medical records and identified instances of cancer from a regional tumor registry. Senior author Constance Lehman, MD, PhD, of Harvard Medical School in Boston said the team is poised to translate these findings into improved clinical care for patients.