Josh and Candice Caputo with Beth Halsne

Matthew Yandell (HeroWear) and Josh Caputo (Humotech)

HeroWear's Apex Exo

AAOP 2026

AAOP 2026 sparked powerful conversations around shared decision-making and evidence-based care in O&P. Grateful to collaborate with leaders shaping what’s next.

Thanks for the tour @herowearexo.bsky.social .

#AAOP2026 #OandP #Orthotics #Prosthetics #MobilityOutcomes #RehabScience #ClinicalResearch

Humotech Named a 2026 Edison Awards Finalist

Humotech’s Caplex® System has been named a Finalist in the 2026 @edisonawards.bsky.social in the Point of Care Therapeutics category.

🔗 View the official finalist listing: edisonawards.com/finalist/cap...

#EdisonAwards #MobilityOutcomes #AssistiveTechnology #Biomechanics #WearableRobotics #Caplex

This 𝗣𝗠&𝗥 multicenter study explores key clinical factors associated with mobility outcomes in a large pediatric cohort.

Full text available: www.archives-pmr.org/article/S0003-9993(25)01...

#PMRJournal #PediatricRehab #Arthrogryposis #MobilityOutcomes #RehabMedicine #PMR

This 𝗣𝗠&𝗥 multicenter study explores key clinical factors associated with mobility outcomes in a large pediatric cohort.

Full text available: www.archives-pmr.org/article/S0003-9993(25)01...

#PMRJournal #PediatricRehab #Arthrogryposis #MobilityOutcomes #RehabMedicine #PMR

Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients Background: Recent technological advances in wearable devices offer new potential for measuring mobility in real-world contexts. Mobilise-D has validated digital mobility outcomes to provide novel outcomes and end points in clinical research of 4 different long-term health conditions (Parkinson disease, multiple sclerosis, chronic obstructive pulmonary disease, and proximal femoral fracture). These outcomes also provide unique information that is important to patients; however, there is limited literature that explores the optimal methods to achieve this, such as the best way to visualize patients’ data. Objective: This study aimed to identify meaningful outcomes for each condition and how to best visualize them from the perspective of end users. Methods: Using a Delphi-type protocol with patients as subject matter experts, we gathered iterative feedback on the cocreation of visualizations through 3 rounds of questionnaires. An open-ended questionnaire was used in round 1 to understand what aspects of mobility were most influenced by their health condition. These responses were mapped onto relevant digital mobility outcomes and walking experiences and then prioritized for visualization. Using patient responses, we worked alongside researchers, clinicians, and a patient advisory group to develop visualizations that depicted a week of mobility data. During rounds 2 and 3, participants rated usefulness and ease of understanding on a 5-point Likert scale and provided unstructured feedback in comment boxes for each visualization. Visualizations were refined using the feedback from round 2 before receiving further feedback in round 3. Results: Participation varied across rounds 1 to 3 (n=48, n=79, and n=78, respectively). Round 1 identified important outcomes and contexts for each health condition, such as walking speed and stride length for people with Parkinson disease or multiple sclerosis and number of steps for people with chronic obstructive pulmonary disease or proximal femoral fracture. The consensus was not reached for any visualization reviewed in round 2 or 3. Feedback was generally positive, and some participants reported that they were able to understand the visualization and interpret what the visualization represented. Conclusions: Through the feedback provided and existing data visualization principles, we developed recommendations for future visualizations of mobility- and health-related data. Visualizations should be readable by ensuring that large and clear fonts are used and should be friendly for people with vision impairments, such as color blindness. Patients have a strong understanding of their own condition and its variability; hence, adding additional factors into visualizations is recommended to better reflect the nuances of a condition. Ensuring that outcomes and visualizations are meaningful requires close collaboration with patients throughout the development process.

JMIR Formative Res: Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients #DigitalHealth #WearableTechnology #MobilityOutcomes #ClinicalResearch #PatientEngagement