Welcome to E-MyR

History – Systems I've Lived In

TL;DR history: Remote triage & documentation • Emergency & rehab environments • Embedded & creative systems • Biological systems experiments

Systems-first view of my work across remote triage, emergency and rehab environments, experimental hardware, and real-world systems outside of healthcare.

Clinical Workflow & Documentation Systems

Most of my recent work has been inside remote and ambulatory clinical workflows, especially nurse-led triage programs and ongoing care management models.

• Mapped nurse workflows for remote triage and chronic care, clarifying decision lanes and escalation paths.
• Worked directly inside EMR/EHR documentation systems, building smart phrases, checklists, and structured templates to reduce rework.
• Helped surface friction points between nurses, providers, and admin teams where information or responsibility was "owned by nobody."
• Observed how poorly aligned workflows amplify burnout even when tools are technically "working as designed."

Emergency, Rehab, and High-Acuity Environments

Before remote work, I spent years in acute and post-acute settings. That work shaped how I think about failure modes, handoffs, and cognitive load when things are not stable or predictable.

• Experienced the impact of unclear lanes during code situations, rapid response dynamics, and high-stress transitions of care.
• Worked in rehabilitation environments where progress depends on consistent, reliable communication between nursing, therapy, and physicians.
• Learned how small changes in documentation or workflow geometry can dramatically change how safe and supported staff feel.

Embedded / Experimental Systems & Creative Infrastructure

In parallel with clinical work, I've built and experimented with small, real-world systems: from embedded-style prototypes to creative and ecommerce infrastructure. Those projects inform how I think about constraints, feedback loops, and interfaces.

• Designed and tested small, resilience-focused systems with clear inputs, outputs, safety behaviors, and state transitions.
• Engineered biological system prototypes including hydroponics, aquaponics, nutrient-flow control, and regenerative garden environments.
• Built and iterated creative and ecommerce infrastructure, including automation, content workflows, and customer-facing experiences.
• Used photography, macro videography, and visual storytelling as a way to understand attention, perception, and signal design.

Previous Employers & Clinical Context

A non-exhaustive list of organizations whose systems and workflows have shaped how I think:

Healthcare, Clinical, and EMS

• Signallamp Health / TelliHealth (remote triage and chronic care)
• Nobis Rehabilitation Partners
• Encompass Health
• Vitalounge
• Quantum Health

Creative & Systems Adjacent

• Independent work in visual media, ecommerce, and small-scale systems experiments.

Diagnosis – Projects & Case Studies

Problem identification and solution design across clinical, biological, and creative systems.

Meds – Interventions I Reach For

TL;DR interventions: Workflow mapping • Lane clarity • Documentation structure • Signal design • Thoughtful AI touchpoints

System-level interventions I reach for when working with teams on workflow and operations.

Clinical Workflow & Documentation Interventions

• Diagramming the real workflow (not the policy version) and naming each lane so ownership is unambiguous.
• Refactoring documentation templates and smart phrases to match how clinicians actually think and speak.
• Reducing duplicate entry and unnecessary variation so the same story isn't told three different ways in three different notes.
• Designing structured intake and triage flows that reduce back-and-forth messaging and "who owns this?" confusion.

Interface & Interaction Interventions

• Reordering fields, sections, and prompts to align with clinical reasoning instead of database schemas.
• Spotting UI patterns that create hidden friction (extra clicks, unclear states, ambiguous alerts).
• Making "next best action" more obvious so clinicians don't have to mentally parse the whole system to move forward.
• Connecting the dots between frontline workflows and the data/analytics teams rely on downstream.

Team, Communication, and AI-Enabled Interventions

• Clarifying what gets decided by nurses, what escalates to providers, and what should be automated with safe defaults.
• Designing message routing and handoff patterns that minimize cognitive ping-pong across teams.
• Identifying where AI tools can safely compress effort (drafting, summarization, triage support) without erasing clinical judgment.
• Supporting leaders in translating "we need AI" into specific, testable workflow experiments with clear guardrails.

Labs – Signals I Watch

Key signals: Friction & rework • Handoff quality • Cognitive load • Operational reliability

Signals I watch to understand whether a system is helping or hurting the people working inside it.

Friction & Rework

• Frequency of callbacks, clarifications, and "sorry, wrong team" message reroutes.
• How often nurses or providers have to re-document the same story in a different format for a different audience.
• Number of manual workarounds or shadow systems required to keep things moving.

Handoff Quality & Lane Clarity

• Are responsibilities clearly owned at each step, or is work frequently "floating" between roles?
• Do handoffs carry enough context that the next person can act confidently without starting from scratch?
• Does the workflow geometry support safe escalation and de-escalation, or does everything bottleneck in one lane?

Cognitive Load & Attention

• How much of a clinician's attention is spent on the patient vs. on remembering how to work the system.
• Whether documentation flows feel like a story being told, or a puzzle being solved.
• Where alerts, notifications, and inboxes create noise instead of useful signal.

Operational Reliability & Change Resilience

• How the system behaves under stress – surges, staff shortages, or sudden policy changes.
• Whether small defects quietly accumulate into failure patterns, or get surfaced early and handled.
• How easy it is to safely test and iterate on workflow changes without destabilizing everything else.

Notes – Progress Notes & Reflections

TL;DR notes: Active learning threads • Workflow geometry • AI integration experiments

Lightweight "progress notes" on how my thinking and work are evolving.

Documents – Verification

TL;DR: Resume • RN license verification • Key credentials