Regimen Tracker
THE PROBLEM"Patients undergoing cancer regimens such as chemotherapy faced long wait times and poor care coordination, while doctors and nurses struggled with process gaps, untracked regimen timelines, and unbalanced clinical workloads across oncology workflows."
SOLUTION OUTCOME20–30 Min
WAIT TIME REDUCED
Patient wait times reduced through optimized scheduling.
Higher Inflow
ONCOLOGY CENTER CAPACITY
Centers processed more patients per day through better scheduling and reduced bottlenecks.
Balanced Shifts
NURSE AVAILABILITY
Nurse shifts became more structured, reducing overtime and improving team availability.
Challenges holding Regimen Tracker back
Oncology teams struggled with disconnected regimen tracking, unbalanced workloads, delayed lab coordination, and long patient wait times across the treatment journey.
The Challenges
01Untracked Patient Regimens
Oncology centers lacked a structured way to track patient regimens, making appointments, lab tests, and drug compounding difficult to coordinate on time.
02Unbalanced Clinical Workloads
Doctor and nurse schedules were managed manually, leading to unbalanced workloads, overtime, and poor patient prioritization.
03Unbalanced Clinical Workloads
Without optimized slot allocation, patients experienced long wait times during treatment visits, increasing strain and reducing patient throughput.
Challenges Impact
Wait Time
DELAYS
Schedules
CHAOS
Workload
IMBALANCE
Patient Safety Risk from Missed Steps — Untracked regimen timelines disrupted lab vitals, drug compounding, and infusion sequencing, creating patient safety risks during treatment.
Drug Wastage from Uncoordinated Compounding — Drug compounds prepared without confirmed appointments expired or went unused, creating avoidable oncology drug wastage.
Doctor Scheduling Breakdown — Doctors attended patients out of clinical priority order, reducing care quality and focused consultation time.
Nurse Burnout and Retention Risk — Continuous overtime and poor scheduling increased nurse burnout and threatened care continuity.
Reduced Center Capacity and Revenue — Long patient wait times and unoptimized scheduling reduced patient throughput and overall care capacity.
Web and mobile oncology regimen platform to streamline scheduling and treatment coordination
A web and mobile platform built with scheduling optimization algorithms to manage patient wait times, clinical workloads, and regimen timelines across the treatment journey. The platform gave doctors, nurses, and schedulers a shared view of active regimens to coordinate appointments, lab vitals, drug compounding, and care sequencing efficiently.
Solution
Gave schedulers an optimized slot allocation system to reduce patient wait times and balance doctor appointments.
Provided nurses with shift visibility and workload distribution to reduce overtime and improve care continuity.
Coordinated drug compounding with regimen schedules to ensure compounds were ready before treatment.
Delivered diagnosis pattern analytics across patient profiles to support better regimen planning and clinical decisions.
Solution Highlights
Wait Time Optimization Engine
Applied scheduling optimization to reduce patient wait times, improve slot allocation, and increase daily patient throughput.
Visual Regimen Scheduler
Provided a visual view of doctor availability and regimen timelines to improve appointment scheduling and identify conflicts early.
Patient Diagnosis Pattern Analytics
Analyzed diagnosis patterns across patient profiles to support accurate regimen planning and care prediction.
Timed Lab Vitals Tracking
Scheduled lab vital measurements based on regimen timelines to ensure data availability before treatment steps.
Regimen-Linked Drug Compounding
Connected drug compounding schedules directly to regimen timelines to ensure treatment readiness without last minute coordination.
Workload Balancing Dashboard
Provided real time visibility into doctor and nurse workloads to reduce overtime and balance clinical capacity.
Tech Stack
Node.js
AWS
Lambda
Dynamo DB
React
AWS Glue
Kinesis
Athena
PostgreSQL
React Native
OUTCOMES & FEATURESImproving oncology scheduling, care coordination, and treatment flow
The platform helped oncology centers move from disorganized scheduling and workload pressure to a structured regimen management process.
Key Outcomes
Reduced Patient Wait Times
Scheduling optimization reduced patient wait times by 20 to 30 minutes per visit, improving the treatment experience.
Higher Oncology Center Capacity
Structured scheduling increased daily patient throughput without adding clinical headcount.
Structured Nurse Shift Management
Balanced workload distribution reduced overtime and improved sustainable staffing across the care team.
Organized Doctor Scheduling
Doctors attended patients in the correct clinical priority order, improving consultation focus and reducing scheduling overhead.
On-Time Drug Compounding
Drug preparation aligned with regimen timelines, reducing treatment delays and care sequence risk.
Improved Patient Journey Visibility
Patients and clinical teams gained clear visibility into each regimen step, reducing uncertainty and supporting informed care decisions.
Features
Regimen Tracking
Wait Time Optimization
Doctor Scheduling
Nurse Workload Planning
Visual Scheduler Interface
Timed Lab Vitals
Drug Compounding Schedule
Our Engineering
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That Drive
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