#ClinicalWorkflow

RealActivity - Mission Critical Healthcare Systems

@realactivity.bsky.social

2 weeks ago

For healthcare, the stakes are higher than in any other industry.

The platform you choose determines how your agents handle compliance, clinical workflows, and governance, not just how fast they complete tasks.

#HealthcareCompliance #AIGovernance #HealthIT #ClinicalWorkflow

RAVCARE

@ravcare.com

1 month ago

Optimising Clinical Workflow with RAVCARE Telehealth - RAVCARE RAVCARE — a telehealth platform designed specifically for clinical use — offers a suite of features that help healthcare organizations optimise clinical workflows, improve patient experience, increase...

Are administrative burdens and inefficient scheduling slowing down your practice? Optimising your clinical workflow is the key to reducing clinician burnout.

🔗 Read the full guide here: ravcare.com/optimising-c...

#ClinicalWorkflow #TelehealthSolutions #DigitalHealth #HealthTech

Eshwa AI - An AI Innovation Company

@eshwa-ai.bsky.social

1 month ago

For many clinicians, it’s become the work that competes with it. Long hours after clinic, endless clicks, and documentation overload don’t just cause burnout, they quietly change how time and attention are spent with patients.

#HealthcareAI #ClinicalWorkflow #PhysicianBurnout

Chukwuma Onyeije, MD

@chukwumaonyeije.bsky.social

1 month ago

Prior authorizations are a data-translation problem, not just a paperwork chore. 🩺 With "Doctors Who Code" mindset, we’ve built an AI-driven solution to automate the "heavy lifting" of data mining so clinicians can focus on what matters: the patient. #HealthTech #AIinHealthcare #ClinicalWorkflow

Asia News Today

@asianewstoday.bsky.social

1 month ago

Midmark RTLS launches BLE Sensory Network for smarter, scalable RTLS New Plug-In BLE Sensors provide a faster, more cost-effective path to facility-wide RTLS coverage with near-room location precision. VERSAILLES, Ohio, Jan. 30, 2026 /PRNewswire/ — Midmark RTLS, a leading real-time locating system (RTLS) technology provider focused on clinical workflow solutions and data insights that improve the delivery of care, today announced the official availability of the Midmark RTLS Bluetooth Low Energy (BLE) Sensory Network, a scalable, easy-to-deploy solution designed to help health systems rapidly achieve near-room location precision for staff, patients and equipment. This simplified approach delivers both facility-wide coverage and a future-ready foundation that can scale with operational and […]

Midmark RTLS launches BLE Sensory Network for smarter, scalable RTLS #RTLS #HealthcareTechnology #BluetoothLowEnergy #ClinicalWorkflow #PatientCare

JMIR Publications

@jmirpub.bsky.social

2 months ago

Identification of Design Requirements for a Software Application for Use by Clinicians That Collects Acute Stroke Treatment Data During Clinical Workflow: Pilot Study Background: Clinical registries are critical for monitoring processes of care in diseases and driving quality improvements. However, many smaller hospitals lack the required resources to collect the necessary data to contribute to registries. Objective: This study aims to design and evaluate a data collection tool for acute stroke treatment that streamlines the collection of process data and provides tools to aid clinician users while not interfering with clinical workflow. The evaluation will identify key design requirements that facilitate prospective data collection and add value for clinicians. Methods: We developed a prototype tool for testing using Figma Pro for use on an iPad. Clinicians were recruited through convenience sampling to test the prototype’s use in a small-scale simulated clinical field experiment, during which participant were asked to think aloud and then complete a series of tasks to mimic a mock stroke treatment while inputting the required data into the prototype. Follow-up semistructured interviews were conducted to gain feedback on how the prototype integrated into the workflow and on the aspects of the prototype they felt helped and hindered their use of it. Qualitative data analysis combined review of the experiment recordings to identify the most frequent errors made during the scenario and deductive thematic analysis from the follow-up interviews to determine user needs for the following prototype iteration. The insights from the feedback identified design requirements that were implemented in the iterated design and documented to provide a reference for future product designers. Results: Three participants were recruited from 2 hospitals between April 18 and June 6, 2024, for the simulated field experiment. The scenario took 10-12 minutes, with 1.2-3.7 minutes spent using the prototype, depending on whether optional features such as the NIHSS (National Institute of Health Stroke Scale) calculator were used. The simple and condensed layout and features such as NIHSS calculators, benchmark metric timers, and the final pop-up summary received the most positive feedback from each participant. Issues identified included small target sizes causing higher error rates, lack of color in important features reducing their visibility, and grouping of mandatory and optional information field layouts leading to a disjointed flow. The key design requirements include prioritizing simple dynamic layouts, sufficient target sizes to prevent errors, useful features with clear visual cues, and prompt data feedback to facilitate seamless integration. Conclusions: A prospective data collection tool for clinicians to use during stroke treatment can add value for clinicians and, with further testing, can be integrated into workflow. The design requirements identified through this study can provide a basis for streamlining the collection of accurate data while increasing the value of the tool for users and should be considered by future product designers to add value to their software and improve user experience.

JMIR Formative Res: Identification of Design Requirements for a Software Application for Use by Clinicians That Collects Acute Stroke Treatment Data During Clinical Workflow: Pilot Study #Healthcare #ClinicalResearch #StrokeTreatment #DataCollection #ClinicalWorkflow

RAVCARE

@ravcare.com

5 months ago

RAVCARE Telehealth Implementation Solutions Our mission is to empower healthcare providers and organizations with secure, compliant turnkey telehealth solutions that streamline virtual care delivery,

RAVCARE's comprehensive solutions are built to optimize your clinical workflow and enhance clinical outcomes. Less time on tech, more time on patients.

Discover how to streamline your practice: ravcare.com

#ClinicalWorkflow #HealthIT #ProviderEmpowerment #DigitalHealth #ravcare

agile

@agile.streetwi.se.ap.brid.gy

6 months ago

This method turns stakeholder communication from a defensive chore into a focused collaboration. Every conversation pushes the project forward. Try it and see how it works for your team. #Healthcare #ProjectManagement #DSDM #StakeholderEngagement #MissionDriven #PatientSafety #ClinicalWorkflow […]

ScienceOpen

@scienceopen.bsky.social

8 months ago

Workflow Optimization in Radiation Oncology : From Theory to Clinical Implementation, AAPM Monograph No. 41 <p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="first" dir="auto" id="d329759e58">Technological advances in radiation oncology that promise improvements in workflow efficie...

'Workflow Optimization in Radiation Oncology : From Theory to Clinical Implementation, AAPM Monograph No. 41' - a book from Medical Physics Publishing on #ScienceOpen:

🔖 www.scienceopen.com/book?vid=c5f...

🖇️ #MedicalPhysics #RadiationOncology #ClinicalWorkflow #HealthTech