#Healthinformatics

#history #ecotoxicology #epidemiology #immunology #autoimmunity #neurology #publichealth #medicine #etiology #ecology #sustainability #healthinformatics #exposome #autism #hayfever #health

Grandparents', parents' and children's
liver concentrations of
toxic metal mixtures
need to be documented.
.

Sex-Specific Associations Between Cadmium Exposure and Mortality Risk in Cardiovascular Disease Patients: A Cohort Study Integrating Molecular Mechanisms of Myocardial Dysfunction - Cardiovascular Tox... Cardiovascular Toxicology - Heavy metal cadmium (Cd) exposure is associated with increased cardiovascular disease (CVD) risk, yet sex-specific differences in Cd exposure’s impact on CVD...

#ecology #publichealth #agedcare #health #gerontology #aging #biomarkers #ecotoxicology #nutrition #geriatrics #SDGs #healthinformatics #epidemiology #exposome

Significant association between
cadmium (Cd) levels
and all-cause mortality
.
link.springer.com/article/10.1...

Information support for general practice in the new NHS Surveys of GP computing suggest that over 95% of practices now have computers. Unfortunately, many of these practices are making little effective use of this technology. Recent White Papers, The New…

"Information support for #GeneralPractice in the new #NHS" introduces the GPIMM framework to assess and improve information management maturity in UK #PrimaryCare, emphasizing training, structured change, and the role of health librarians. doi.org/10.1046/j.13... #HealthInformatics #HealthLibraries

The teams behind your medication decision support and clinical AI tools want your input. Two roundtables at Amplify Informatics Conference give you a seat at the table with First Databank and Elsevier ClinicalKey AI.

#HealthInformatics #CMIO #HealthcareLeadership

💥 TODAY'S THE DAY. 💥 Advanced registration discounts for Amplify Informatics end TODAY. Don't miss this innovative gathering for #healthinformatics. Come with ideas, leave with new applications, new connections, and lasting impact. amia.org/education-ev...

Just ONE DAY left to save on the #healthinformatics conference you need to enrich your practice: Amplify Informatics! Grab your advanced registration discount now -- savings end April 14th. amia.org/education-ev...

Association between time-domain heart rate variability, diastolic dysfunction and unplanned readmission to cardiovascular department in older type 2 diabetes mellitus patients - BMC Geriatrics BMC Geriatrics - Type 2 diabetes mellitus (T2DM) is a risk factor for the development of left ventricular diastolic dysfunction (LVDD). Reduced heart rate variability (HRV) was linked to autonomic...

#health #AI #agedcare #publichealth #wearables #healthinformatics #geriatrics

(Which preventive healthcare AI
is best at
monitoring and improving
heart rate variability?)

Reduced heart rate variability (SDNN, SDANN)
predicts
unplanned hospital admissions.
.
link.springer.com/article/10.1...

Just TWO DAYS left to save on the #healthinformatics conference everyone is talking about: Amplify Informatics! Grab your advanced registration discount now -- savings end April 14th. amia.org/education-ev...

#health #ecology #agedcare #Alzheimers #publichealth #gerontology #biomarkers #SDGs #menopause #primaryhealthcare #exposome #ecotoxicology #healthinformatics #aging #ecotoxicology

Significant association between

mixtures of toxic metals
and reduced
cognitive score
.
www.nature.com/articles/s41...

#health #nutrition #ecology #publichealth #gerontology #healthliteracy #SDGs #biomarkers #pathology #healthinformatics #menopause #aging #epidemiology #exposome

21 urinary metals were measured.

Seafood and rice
are associated with
elevated toxic metals.
.
www.sciencedirect.com/science/arti...

The tools and platforms shaping your informatics work are built by people you can meet at Amplify Informatics Conference.

🚨 Advanced registration closes April 14. Lock in the best rates now.

🔗 amia.org/education-ev...

#Amplify2026 #HealthInformatics #ClinicalInformatics

#HealthInformatics Wednesdays! #MedInfo

#sustainability #health #agedcare #publichealth #SDGs #prostatecancer #SDGs #healthinformatics

Cancer prevention
requires monitoring levels of

carcinogenic metal mixtures
(arsenic, cadmium, chromium (VI), nickel)
and bioaccumulation in tissues and organs,

and addressing sources of exposure.
.

#publichealth #health #sustainability #glioblastoma #aging #SDGs #healthinformatics #gerontology #prevention #AI #ethics

Man diagnosed with
aggressive brain cancer

after preventive healthcare AI
neglects cancer prevention

#healthequity #SDGs #healthinformatics #SDoH #publichealth #prevention #gerontology #AI #ethics #exposome #housing

A lack of ethical guardrails in
health science AI

means that patients are left without
basic requirements for health, such as

healthy housing
and adequate income for healthy meals.
.

AI is reshaping how health systems operate, how research is done, and how clinicians deliver care. AMIA's 10x10 course, Introduction to Biomedical Informatics and AI, gives you the foundation you need.

▶️ Secure your spot by April 8th! amia.org/education-ev...

#HealthInformatics #AI

#healthinformatics

Examples of harmful flat-lining by medications:

GSK-3β inhibitors for Alzheimer's
prevent transient elevation for memory consolidation.

Immunosuppressants
impair healthy transient immune response.

Corticosteroids
replace a healthy morning cortisol peak and low evening levels.

Hear from SPC Vice Chair Benjamin Goldstein, PhD, on what defines the #Amplify2026 program: research with the rigor to hold up and the relevance to move your work forward.

📆 Join us May 18–21 in Denver
‼️ Advanced registration closes April 14!

🔗 Register now: buff.ly/KIGrB4f

#HealthInformatics

#epidemiology #ecotoxicology #healthinformatics #ecology #forensic #pathology #analytical #chemistry #SDGs

Which environmental pollutant mixtures
are found in liver biopsies
for each
- subtype of neurodegenerative disease,
- geographic region,
- birth year,
- genotype,
- and occupation?
.
.

📣 Transforming Multimodal Clinical Data into Regulatory-Grade Insights

📅 Mar 31, 2026 | 1:00 pm - 2:00 pm EDT

Register now: buff.ly/xl7rBb0

#HealthInformatics #DigitalHealth #AI #HealthcareAI

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

An Amplify Informatics Conference SPC member said it best: "It's connection. It's collaborations and career mentoring." That's what happens when clinical and translational research informatics share a room.

amia.org/education-events/amplify-informatics-conference/networking

#HealthInformatics

🚨 LAST CHANCE for the best rate on #Amplify2026!

Explore two areas of focus: clinical informatics and translational research informatics

👉 Register now: buff.ly/crAV4vG

#HealthInformatics #ClinicalInformatics #Healthcare

Amplify Informatics Conference puts peer-reviewed science and real-world application under one roof.

‼️Early bird registration closes TOMORROW at 11:59 PM ET!

👉 Get your best rate: amia.org/education-ev...

#HealthInformatics

Quantification of per- and polyfluoroalkyl substances in plasma and follicular fluid of patients undergoing in vitro fertilization in Iowa: A pilot study Per- and polyfluoroalkyl substances (PFAS) are a class of persistent synthetic chemicals that impart oil, water, and stain repellency to products. The use of PFAS has expanded in industrial and consum...

#health #publichealth #ecology #gerontology #SDGs #gynecology #IVF #healthinformatics #exposome #womenshealth #healthliteracy #pathology

Of 43 PFAS (forever chemicals) assessed in women,

21 PFAS were identified in blood plasma
and 23 in follicular fluid.
.
www.fertstertreports.org/article/S266...

300+ peer-reviewed presentations where clinical and translational informatics converge. Amplify Informatics Conference, May 18–21 in Denver. Early bird ends March 17.

amia.org/education-ev...

#HealthInformatics #DigitalHealth #Amplify2026

📣 Transforming Multimodal Clinical Data into Regulatory-Grade Insights

In this webinar, you will learn how to transform multimodal clinical data into FDA-aligned, regulatory-grade evidence.

📅 Mar 31, 2026 | 1:00 pm - 2:00 pm EDT

Register: amia.org/education-ev...

#HealthInformatics

AMIA 10x10: Introduction to Biomedical Informatics and Artificial Intelligence The goal of the AMIA 10x10 course is to provide

Building fluency in healthcare AI is one of the highest-value investments you can make in your informatics career right now. The right course makes all the difference.

#HealthInformatics #HealthcareAI #AI #DigitalHealth

Health informatics moves faster when clinical expertise and translational research learn side by side. That's the vision behind AMIA's new Amplify Informatics Conference. Want the full picture before you register? Join a free webinar tomorrow. 🧵

#HealthInformatics #Informatics

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.

Graphic showing how the medicalcoder R package controls comorbidity detection using the flag.method argument. Left side: A sample dataset of patient encounters with variables patid, encid, icd10code, and poa, containing ICD-10 codes such as E11.9, K72.10, and E11.22. Below the dataset are two example R code blocks calling medicalcoder::comorbidities(): flag.method = "current" (default), producing encounter-level comorbidity flags. flag.method = "cumulative", producing patient-level flags that preserve comorbidities across encounters. Right side: the medicalcoder hex logo and labels explaining that current = encounter-level and cumulative = longitudinal history preserving. The graphic illustrates that longitudinal comorbidity tracking in medicalcoder is controlled by a single argument.

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