Turning fragmented patient records into coherent clinical narratives

I collaborated with a practicing physician founder to design a timeline-based chart review platform that reorganizes fragmented EHR data into longitudinal clinical narratives. I led workflow design, information architecture, and scalable UI systems now being implemented by the VEHR engineering team.

  • EHR Design
  • Data Visualization
  • Clinical Workflows
VEHR patient timeline and clinical sensemaking interface
RoleFounding Product Design Lead
ClientVEHR Technologies
Timeline4 months
StatusIn development

Chart review for an EHR startup

VEHR Technologies is developing a timeline-based chart review platform designed around how clinicians naturally interpret patient history over time. The platform reorganizes fragmented EHR data into connected clinical narratives that support contextual review, pattern recognition, and longitudinal sensemaking across complex patient records.

Challenge

Source-based records fragment longitudinal reasoning

Most EHRs organize information by storage type rather than by how clinicians reconstruct patient history. Labs, medications, vitals, diagnoses, and notes are separated across tabs, tables, and isolated trend views — forcing clinicians to manually piece together what changed, when it changed, and why it mattered.

Labs and vitals are clinically valuable longitudinally, but multi-scale trend views often bury meaningful change in visual noise. Interpreting whether a value matters — and what surrounded it — becomes its own reconstruction task.

The trends are technically there, but interpreting them takes work.
Internal Medicine Physician

Strategy

Mapping a mental model

Reducing cognitive load by structuring information around how clinicians reconstruct patient history over time.

Before wireframes, I worked with Cole Marolf, MD to build an object map from his chart review workflow—translating how he moves through a patient record into the entities, relationships, and temporal links the product would need to support.

Laying the groundwork

The timeline

Placeholder — copy describing how encounters, vitals, diagnoses, medications, and patient-reported data align on shared visit columns, and what clinicians need to see at a glance before drilling into detail.

The clinical story across domains

Symptoms on the Timeline

Fatigue, thirst, and insomnia align to the same visit columns as encounters, labs, and medications. Burden intensifies into Sep 09 and eases across PCP and telehealth—so patient-reported change reads with the clinical events around it.

Reducing trend interpretation into glanceable signal

Traditional EHRs present labs as tables or overlapping trend lines, forcing clinicians to mentally reconstruct severity, direction, and timing. I redesigned longitudinal vitals and labs as an aligned heatmap so abnormality, improvement, and persistence become visually scannable across visits.

The Full Prototype

Putting the Timeline Together

The final prototype combines encounters, diagnoses, labs, vitals, medications, patient-reported context, and compressed time into one interactive timeline. Clinicians can start with the patient story, scan for clinical signals, then drill into source details only when needed.

“David demonstrated strong insight into reframing healthcare data interaction… especially the heat map, which improved data density while maintaining clarity.”
Dr. Cole MarolfDr. Cole Marolf