How Low-Code Platforms Can Accelerate FHIR Adoption in U.S. Healthcare #FHIR #HL7 #interoperability #HIT #healthIT #healthcare www.healthcareittoday.com/2025/12/12/h...

VA Making Changes to Veterans’ Health Records – What To Know newsweek.com/va-making-ch... @hardeepsinghmd.bsky.social @histalk.bsky.social @mcwlliamssbmi.bsky.social

Colleague was presenting a data science where we used training data in the exploratory phase. My colleague consistently used the phrase „train set“ and I struggled not to giggle during the rest of the meeting.

What Healthcare Can Learn from the NFL #interoperability #healthcare medcitynews.com/2025/12/heal...

Can AI models rival humans in anonymising patient information from electronic health records? #AI #ArtificialIntelligence #Healthcare #EHR www.ndph.ox.ac.uk/news/can-ai-...

Closing out with a better understanding of how the medical humanities can help us think more carefully. We covered ethical concerns such as privacy risks, misinformation, underrepresentation in datasets, as well as the importance of bringing unique perspectives into the development process. #MSBMI

Several ethical concerns can emerge when new technologies are used in healthcare, including privacy risks, misinformation, underrepresentation, uneven treatment recommendations, and the potential to worsen existing disparities. These issues underscore the need for careful design and overview #MSBMI

This seminar touches on how the medical humanities can help us look more closely at the assumptions that are changing technology in healthcare. These approaches encourage teams to pause, ask different questions, and consider how tools will be experienced by people. #MSBMI #AI #UTHealth #Healthcare

Dr. Ostherr shared ongoing efforts at Rice University’s Medical Humanities Research Institute that explore how human-centered perspectives can strengthen Health AI. These include the planned 2026 launch of the "Center for Humanities-Based Health AI Innovation". #UTHealth #MSBMI #AI #Riceuniversity

Medical humanities offer tools to better understand how AI fits into clinical care. By examining language, narrative, and ethics, this field helps ensure that technology remains grounded in the human side of medicine. #MSBMI #Ethics #AI #UTHealth #TMC #ArtificialIntelligence #Healthcare

Reporting from the MSBMI research seminar! We’re joined by Kirsten Ostherr, PhD, MPH, who is presenting: "Medical Humanities for Health AI" #MSBMI #AI #BiomedicalInformatics #Healthcare #UTHealth #TMC

The future of integrated healthcare workflow: Delivering on the promises of the EHR dream #EHR #HIT #digitaltransformation #AI #Healthcare www.wolterskluwer.com/en/expert-in...

It’s #UTHealthHoustonGivingTuesday! Join @McWilliamsSBMI today to transform health care through data, innovation, and discovery. Your gift fuels data-driven breakthroughs that improve the health of patients everywhere. Make your gift before midnight: launch.uth.edu/gt25msbmi

How Healthcare Organizations Are Simplifying Patient Check-Ins #EHR #healthtech #healthcare healthtechmagazine.net/article/2025...

Healthcare RCM Leaders Say AI Ambitions Are Running Ahead of Data Reality #AI #ArtificialIntelligence #EHR #healthcare www.newswire.com/news/healthc...

Pancreatic Cancer Prediction Using LLM Embeddings with Classifiers #AMIA25 #UTHealth #MSBMI *ੈ✩‧༺☆༻*ੈ✩‧₊˚ 🎉 Congratulations to Bingyu Mao 🎉 Winning 2nd Place KDDM Innovation Award at AMIA 2025. *ੈ✩‧˚༺☆༻*ੈ✩‧˚ Click to View Link to Poster: workshopamia2025.github.io/AMIA-KDDM-20...

Congratulations: Bingyu Mao We are pleased to inform you that our former PhD student Bingyu Mao has won second place for the KDDM Innovation Award at AMIA 2025. Here is more details. www.linkedin.com/posts/activi...

Well #AMIA2025 it was fun. Next year, you're in our neighborhood. We will show you a good time. Everything is bigger in Texas! @AMIAinformatics

Continued work aims to expand these methods to new conditions, improve model precision, and address the regulatory steps needed to bring this technology into future care #MSBMI #UTHealth #TMC #AI #Machinelearning

Zimolzak also highlighted the challenges of building diagnostic AI. Preparing structured data and ensuring quality inputs are essential steps for making these systems useful in clinical settings. #MSBMI #AI #Machinelearning #UTHealth #TMC

Two-stage algorithms, combining rule-based triggers with machine learning, reached predictive values above 90 percent. This approach shows promise for identifying diagnostic errors earlier and improving patient safety. #MSBMI #AI #Machinelearning #UTHealth #TMC

Manual review showed that these triggers identified missed opportunities in diagnosis nearly half the time. Machine learning models built on these findings further improved detection accuracy. #MSBMI #AI #Machinelearning #TMC #UTHealth

Using Veterans Affairs data, this research developed electronic triggers to flag cases at risk for missed diagnoses, like patients discharged with stroke risk factors or abdominal pain who were later hospitalized. #MSBMI #TMC #UTHealth #AI #Machinelearning

Reporting from the MSBMI research seminar! We’re joined by Andrew Zimolzak, MD, MMSc, who is presenting: "Machine Learning to Enhance Electronic Detection of Diagnostic Errors" #MSBMI #Machinelearning #BiomedicalInformatics #Healthcare #UTHealth #TMC

How Sanford Health Embeds AI into Its EHR to Catch Disease Earlier & Personalize Care #AI #ArtificialIntelligence #EHR #Healthcare medcitynews.com/2025/11/sanf...

MSBMI faculty member Dr. Hui Li is speaking at the #AMIA2025 session 81.

Temporal information is often fragmented across multiple screens or tables, complicating the tracking of diagnoses, medications, procedures, and test results over time for individual patients. #AMIA2025 #S81

EHRs provide a comprehensive and up-to-date digital representation of a patient’s health data, encompassing a various elements such as demographics, vital signs, diagnoses, and lab results. #AMIA2025 #S81

Heart disease is a major cause of death: the world’s biggest killer, 16% of deaths. 75% mortality for patients without intervention. #AMIA2025 #S81

Rare disease facts: >7k different rare diseases, 400 million people affected, 95% of rare diseases have no approved treatment, 80% of rare diseases are of genetic origin, 75% of people affected are children, & >5 years of getting an accurate diagnosis. #AMIA2025 #S81

Most pressing challenges facing informatics work at #AMIA2025

Study shows that 3 out of 4 Americans do not trust AI in a healthcare setting. #AMIA2025 #S81

Coming to you live from the #AMIA2025 #S81 ChronoLogic: Interpretable Modeling Across Patient Timelines.

The MSBMI PhD program is 93 semester credit hours completed within 8 years. Flexible format, full or part-time, in-person or remote. About 2 years of courses with a written and oral qualifying exam. #AMIA2025 #S55

Number of PhD students and candidates at MSBMI are 46! Average time to graduation is 5 years. Average salary for 1st year PhD grads is $105k and for 10th year, $258K. #AMIA2025 #S55

PhD programs at Penn exist within “graduate groups”, not departments. Offers ability for students to take courses and experience mentorship across all 12 schools of the university. #AMIA2025 #S55

Active learning as a pedagogical approach to the whole program: reverse classroom, cognitive engagement training throughout. #AMIA2025 #S55

Early research and clinical rotations lead to program-long co-mentorship with AI expert + Clicinican working with the student on real-life health challenges in situ. #AMIA2025 #S55

Industry demands for AI/ML skills and immediate impact draws students away form traditional doctoral training. #AMIA2025 #S55

WOW! PhD students in Health Artificial Intelligence are fully funded by Cedars Sinai Medical Center. #AMIA2025 #S55

Coming to you live from the #AMIA2025 session on Redefining PhD Education in Health Informatics: Addressing Core Training Challenges in the AI era with MSBMI faculty members Drs. Fenton & Liu.

Skills that strengthen relationships: put people first & take care of constituents, smile & maintain a “glass half full” mentality, don’t demand perfection in others, show empathy, and build trust by letting others into your world a bit. #AMIA2025 #EQ

Relationship management: when combined with a solid IQ, well liked individuals have more opportunities to choose from. People, even in professional setting, gravitate toward engaging, respectful, and empathetic individuals. #AMIA2025 #EQ

Social awareness is recognizing others’ emotions as they occur, understanding team climate, empathizing, & actively listening/observing. Stop talking, stop the internal monologue, stop thinking ahead to what you’re going to say next. #AMIA2025 #EQ

Strengthen self-management with micro-pauses, reframing stressful thoughts, practice virtually, and/or find a confidant/mentor who is not emotionally invested in your problems. #AMIA2025 #EQ

Hey #AMIA2025, join us for our annual mixer with a special presentation from Google. Hope to see you there.

Self-management is your ability to use the emotional awareness to stay flexible and direct your behavior in a positive way. You can control how you react to an initial feeling. #AMIA2025 #EQ

Self-awareness is recognizing your emotions as they happen, understanding personal triggers, & knowing how others perceive you. Foundational EQ skill and the first one you have to grow. #AMIA2025 #EQ

4 Core Competencies of Emotional Intelligence: Self Awareness, Social Awareness, Self Management, & Social Skills. #AMIA2025 #EQ

Honest self-assessment: take a hard look and be honest with yourself…how are you perceived by others? #AMIA2025 #EQ