iiinova — where your digital self keeps evolving

Reposted by Peter E. DeWitt, Ph.D.

CU Department of Biomedical Informatics @cubiomedinfo.bsky.social · 29/09/2026

New in #JAMIA Open📃 Led by @peteredewitt.bsky.social, biomedical researchers @cuanschutz.bsky.social developed medicalcoder, an R package designed to help researchers apply comorbidity algorithms consistently. Read the paper here ➡️ cudbmi.info/medicalcoder-jamia-1

person typing on a desktop computer with a stephescope sitting on the top of the desk in the foreground.

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Reposted by Peter E. DeWitt, Ph.D.

Colorado Avalanche @avalanche.bsky.social · 01/08/2026

Happy 1️⃣5️⃣0️⃣ to the state we are incredibly lucky to get to call home 🏔️

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Reposted by Peter E. DeWitt, Ph.D.

Denver Zoo Conservation Alliance @denverzoo.bsky.social · 22/07/2026

🐾 Happy #NationalZookeeperWeek! Today we're introducing Krystin Maloney, Animal Care Specialist here at DZCA. Her tattoo is a tribute to a bird who taught her some of the most important lessons of her career. 🦅 Tucson the bay-winged hawk.

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Reposted by Peter E. DeWitt, Ph.D.

CU Department of Biomedical Informatics @cubiomedinfo.bsky.social · 22/07/2026

A study by a team including @cuanschutz.bsky.social researcher Tell Bennett, MD, evaluated Acute Kidney Injury (AKI) risk prediction models in pediatric critical care. The study found that incorporating multi-center data improved model prediction performance ➡️ cudbmi.info/aki-model-1

hospital room with equiptment such as a hospital bed and monitors. white cabinets and drawers along the back wall.

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Peter E. DeWitt, Ph.D. @peteredewitt.bsky.social · 16/07/2026

medicalcoder 0.9.0 is now on CRAN What’s new: Charlson methods, ICD-10-AM, ICD-10-SE Why use it: self-contained, longitudinally aware, auditable mappings #rstats #HealthInformatics #EHR #ClinicalResearch #RiskAdjustment #PublicHealth #comorbidity #Charlson #Elixhuaser #PCCC #pediatrics

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Reposted by Peter E. DeWitt, Ph.D.

CU Department of Biomedical Informatics @cubiomedinfo.bsky.social · 29/05/2026

Researchers @cuanschutz.bsky.social conducted a study in Zimbabwe exploring links between immune function, microbiome, diet and other lifestyle factors for people living with HIV. The team uncovered links that may inform healthcare interventions. Learn more➡️ cudbmi.info/zimbabwe-diet-hiv-1

cudbmi.info

Research in Zimbabwe Is Shedding Light on How Diet Can Impact the Health of People Living With HIV

Researchers conducted a study in Zimbabwe exploring links between immune function, microbiome, diet and other lifestyle factors for people living with HIV.

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Reposted by Peter E. DeWitt, Ph.D.

CU Department of Biomedical Informatics @cubiomedinfo.bsky.social · 19/05/2026

As healthcare systems expand digital tools, research is raising an important question: who gets left behind? Samantha Stonbraker’s work shows that designing for diverse digital and health literacy levels improves usability, engagement, and outcomes.

cudbmi.info

Designing Digital Health Tools That Work for Everyone

As healthcare moves online, researchers examine how inclusive design can improve digital health tools and reduce disparities for underserved populations.

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Reposted by Peter E. DeWitt, Ph.D.

Colorado Avalanche @avalanche.bsky.social · 14/05/2026

THIS TEAM ❤️💙

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Reposted by Peter E. DeWitt, Ph.D.

Colorado Avalanche @avalanche.bsky.social · 12/05/2026

Can we get a “HELL YEAH” 🗣️

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Reposted by Peter E. DeWitt, Ph.D.

CU Department of Biomedical Informatics @cubiomedinfo.bsky.social · 08/05/2026

The medicalcoder R package supports running comorbidity algorithms on datasets—even those with ICD-9 and ICD-10 codes. Today, developer @peteredewitt.bsky.social is presenting medicalcoder at the virtual R/Medicine 2026 conference at 2:06 p.m. ET. Learn more here➡️ cudbmi.info/medcoder-1

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Reposted by Peter E. DeWitt, Ph.D.

CRAN Package Updates Bot @cranberriesfeed.bsky.social · 05/05/2026

CRAN updates: medicalcoder #rstats

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Reposted by Peter E. DeWitt, Ph.D.

CU Department of Biomedical Informatics @cubiomedinfo.bsky.social · 09/05/2026

Retinal imaging may offer more than eye screening. This study shows ROP images, combined with clinical data, can help predict BPD and pulmonary hypertension in preterm infants—supporting earlier, noninvasive detection.

cudbmi.info

Cardiopulmonary Disease in Retinal Images of Premature Infants

This diagnostic study investigates if an artificial intelligence algorithm can diagnose bronchopulmonary dysplasia or pulmonary hypertension in the retinal images of preterm infants obtained during re...

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Reposted by Peter E. DeWitt, Ph.D.

Colorado Avalanche @avalanche.bsky.social · 06/05/2026

Playoff physicality.

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Peter E. DeWitt, Ph.D. @peteredewitt.bsky.social · 05/05/2026

I had the opportunity to present the medicalcoder R package as a short talk and a poster at the @cubiomedinfo.bsky.social Spring 2026 Symposium. #BiomedicalInformatics #RStats #HealthDataScience #ClinicalResearch

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Reposted by Peter E. DeWitt, Ph.D.

R Consortium @rconsortium.bsky.social · 04/05/2026

R/Medicine 2026 starts with 2 days of in-depth demos and workshops TOMORROW! There's still time to register! Full program here: rconsortium.github.io/RMedicine_we... #rstats #clinicaltrials #healthdata #healthcare

Many, many headshots of speakers coming up at R/Medicine 2026

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Reposted by Peter E. DeWitt, Ph.D.

R Consortium @rconsortium.bsky.social · 03/05/2026

This week! R/Consortium 2026! May 5-8, 100% virtual 2 days of in-depth, hands-on demos and workshops, then 2 days of Keynotes, Talks, Lightning Talks - Ask questions, connect directly with speakers and peers rconsortium.github.io/RMedicine_we... #rstats #clinicaltrials #opensource #healthcare

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Reposted by Peter E. DeWitt, Ph.D.

Colorado Avalanche @avalanche.bsky.social · 04/05/2026

Fought for this.

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Reposted by Peter E. DeWitt, Ph.D.

CU Department of Biomedical Informatics @cubiomedinfo.bsky.social · 21/04/2026

At CU Anschutz, our researchers are unlocking biological insights from incomplete datasets by providing guidelines to achieve near scRNA-seq accuracy in bulk deconvolution, enabling deeper insight into cell types and states within complex tissues ➡️ cudbmi.info/rna-guidelines-1

A digital illustration of a DNA double helix composed of glowing blue dots and lines, set against a dark, abstract background with interconnected lines and points.

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Reposted by Peter E. DeWitt, Ph.D.

Colorado Avalanche @avalanche.bsky.social · 22/04/2026

NICOLAS RAAAAA

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Reposted by Peter E. DeWitt, Ph.D.

CU Department of Biomedical Informatics @cubiomedinfo.bsky.social · 07/04/2026

No code, no downloads—just insights. The pedbp app makes it easy to explore and visualize pediatric blood pressure percentiles (BPPs) in a user-friendly web app. @cuanschutz.bsky.social researchers designed this tool give consistent access to BPPs.

cudbmi.info

pedbp Web Application: Visualize Pediatric Blood Pressure Percentiles (BPPs)

How to use the pedbp web application as a convenient, reliable method to view pediatric blood pressure percentiles.

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Reposted by Peter E. DeWitt, Ph.D.

Colorado Avalanche @avalanche.bsky.social · 19/04/2026

Opening Move ♟️

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Reposted by Peter E. DeWitt, Ph.D.

CU Department of Biomedical Informatics @cubiomedinfo.bsky.social · 27/03/2026

Pediatric blood pressure isn't the simple 120/80 'healthy' ceiling we learn for adults—it's a function of age, sex and more. Led by @peteredewitt.bsky.social researchers @@cuanschutz.bsky.social developed pedbp: a tool for pediatric blood pressure percentiles. Learn more➡️ cudbmi.info/pedbp1

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Reposted by Peter E. DeWitt, Ph.D.

Colorado Avalanche @avalanche.bsky.social · 24/03/2026

The Dogg is BARKING 🐶

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Reposted by Peter E. DeWitt, Ph.D.

JAMA @jama.com · 22/03/2026

Among US #pediatric hospitalizations, an electronic health record–based definition identified #sepsis in 1.3% of encounters, with an in-hospital mortality rate of 10%. #SCCM2026 #CriticalCare @sccmcriticalcare.bsky.social ja.ma/4uKFHJy

Graph titled "Annual trend in in-hospital mortality due to pediatric sepsis" from text@1. The graph shows mortality rates from 2016-2023. Three lines represent "Hospital-onset sepsis", "Overall sepsis", and "Community-onset sepsis".

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Peter E. DeWitt, Ph.D. @peteredewitt.bsky.social · 23/03/2026

I was fortunate to be part of this project published on JAMA ja.ma/4sY38xb #pediatrics #sepsis #phoenix

ja.ma

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Peter E. DeWitt, Ph.D. @peteredewitt.bsky.social · 23/03/2026

I made this dice tower for some friends. Four baffles inside the tower. #woodworking

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Reposted by Peter E. DeWitt, Ph.D.

Colorado Avalanche @avalanche.bsky.social · 21/03/2026

First to 100. First to clinch.

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Peter E. DeWitt, Ph.D. @peteredewitt.bsky.social · 20/03/2026

My abstract has been accepted for presentation at R/Medicine 2026. I’ll be my R package, medicalcoder. www.peteredewitt.com/medicalcoder/ Thank you @rconsortium.bsky.social for putting on the conference! #rstats #RMedicine #HealthInformatics #EHR #ClinicalResearch

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Peter E. DeWitt, Ph.D. @peteredewitt.bsky.social · 09/03/2026

Same ICD codes. Same patient. Different risk profiles. Encounter-level comorbidity logic assumes ICD codes are re-reported every visit. They usually aren’t. medicalcoder handles this 📦install.packages("medicalcoder") #rstats #HealthInformatics #EHR #ClinicalResearch #RiskAdjustment #PublicHealth

Diagram comparing longitudinal vs encounter-level comorbidity detection using ICD-10 codes across five patient encounters.

Top panel (Longitudinal): The patient initially has uncomplicated diabetes (E11.9). Later an encounter includes E11.22 and K72.10, indicating complex diabetes and severe liver disease. Using longitudinal logic, these conditions persist in later encounters even when only E11.9 appears, preserving severity and correctly flagging severe liver disease.

Bottom panel (Encounter-level): Each encounter is evaluated independently. Diabetes changes from uncomplicated → complex → back to uncomplicated when E11.9 reappears, and severe liver disease is never flagged because its code does not repeat.

Message: Ignoring patient history can downgrade severity or fail to identify comorbidities.

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Reposted by Peter E. DeWitt, Ph.D.

Colorado Avalanche @avalanche.bsky.social · 06/03/2026

GUESS WHO’S BACK, BACK AGAIN 👀

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Reposted by Peter E. DeWitt, Ph.D.

CU Department of Biomedical Informatics @cubiomedinfo.bsky.social · 30/12/2025

Every breakthrough in 2025, from new ICU guidelines to building one of the most complete human genome maps, reflects the power of working together to improve lives. Discover the stories behind the impact ➡️ cudbmi.info/top-stories-2025-1

A collage of diverse professional fields including genetics, digital technology with a person at a workstation, laboratory research, and medical review with text labeled "Softcare Almonds."

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Reposted by Peter E. DeWitt, Ph.D.

CU Department of Biomedical Informatics @cubiomedinfo.bsky.social · 23/02/2026

Clinicians have a lot to consider for patient medications. LLMs could support medication management, but medications pose unique challenges for these LLMs. @cuanschutz.bsky.social researchers developed a benchmark suite to evaluate these implementations: cudbmi.info/rx-llm-1

a lot of medication blister packs in a pile containing medications of different color, size, and shape suggesting comprehensive medication management (CMM)

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Reposted by Peter E. DeWitt, Ph.D.

CU Department of Biomedical Informatics @cubiomedinfo.bsky.social · 15/01/2026

phoenix supports researchers in implementing Phoenix & Phoenix-8 pediatric sepsis scoring—providing more reproducible research and findings that translate into better care over time. Learn more about the tool developed by researchers @cuanschutz.bsky.social➡️ cudbmi.info/phoenix-package-1

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Peter E. DeWitt, Ph.D. @peteredewitt.bsky.social · 23/02/2026

📦 medicalcoder v0.8.0 is now on CRAN. medicalcoder is a unified and longitudinally aware framework for ICD-based comorbidity assessment in #rstats CRAN: cran.r-project.org/package=medi... GitHub: github.com/dewittpe/med... Website: peteredewitt.com/medicalcoder/

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