Iris Oncology
Disclaimer:
Some aspects of this section have been approximated or created based on assumptions to preserve
company confidentiality. However, the structure and approach reflect best practices and are designed to align closely with the reality of the development.
Background
The Iris Oncology App is a cutting-edge digital health platform designed to empower cancer patients, caregivers, and oncologists by providing real-time health tracking, personalized treatment insights, and seamless communication. The app integrates AI-driven analytics, remote patient monitoring, and telehealth support, ensuring a patient-centric approach to oncology care.
Mission Statement
Empowering cancer patients with intelligent, personalized care through technology—enhancing treatment outcomes, improving quality of life, and fostering seamless collaboration between patients, caregivers, and oncology professionals."
Problem Statement
Cancer patients and caregivers often face challenges in managing treatments, tracking symptoms, and accessing timely medical support. The lack of real-time health insights, fragmented communication between patients and oncologists, and limited access to personalized treatment plans can lead to delayed interventions and increased stress.
Solution and Key Features
The Iris Oncology App is designed to streamline cancer care by providing a comprehensive, AI-driven, and patient-centric platform for patients, caregivers, and oncologists. It helps users:
✅ Track symptoms & treatment progress in real-time.
✅ Enable remote patient monitoring for timely interventions.
✅ Improve doctor-patient communication via telehealth & messaging.
✅ Provide AI-driven insights for personalized treatment recommendations.
✅ Integrate with wearable devices to monitor vital signs.
✅ Offer educational resources & support communities to enhance patient well-being.
Symptom & Treatment Tracking
📌 Patients can log symptoms, medication intake, side effects, and mood changes in real time.
📌 AI-driven analysis helps identify treatment effectiveness and patterns over time..
Remote Patient Monitoring (RPM)
📌 Oncologists receive real-time patient updates on health status and treatment adherence.
📌 Integration with wearables & IoT devices tracks vitals like heart rate, oxygen levels, and activity.
Telehealth & Secure Messaging
📌 Patients can schedule virtual consultations with oncologists.
📌 Secure in-app messaging allows real-time patient-doctor communication for quick concerns.
AI-Powered Treatment Insights
📌 AI-driven analytics provide personalized treatment recommendations based on patient history.
📌 Alerts notify users of potential side effects or need for medical attention.
Medication & Appointment Reminders
📌 Smart reminders ensure timely medication intake and doctor visits.
📌 Users receive notifications for lab tests, therapy sessions, and check-ups.
Caregiver & Family Support
📌 Caregivers can track patient health data and receive alerts for important updates.
📌 Multi-user access enables family members to stay informed about treatment progress.
Educational Resources & Community Support
📌 Patients get access to expert articles, research updates, and self-care tips.
📌 Community forums provide peer support, mental health guidance, and survivor stories.
MVP
Ideation Overview
In the first round of Iris Oncology App user interviews, 65% of 250 surveyed cancer patients and caregivers indicated a need for a comprehensive, digital health platform to better manage their treatment journey. The following are the key findings from the survey:
3 Common Pain Points:
Customer Segmentation :
🟡 Lack of real-time treatment tracking
🟡 Limited access to oncologists and medical support.
🟡 Emotional and mental health challenges.
🟡 Patients & Caregivers – Individuals undergoing cancer treatment and their caregivers who need tools for symptom tracking, medication reminders, and emotional support.
🟡 Oncologists & Healthcare Providers – Medical professionals seeking remote monitoring capabilities, telehealth consultations, and data-driven patient insights for improved care.
Customer Personas
PROFILE
David is a dedicated professional managing his cancer treatment while balancing his work and personal life. He often struggles with tracking symptoms, medication schedules, and communicating with his oncologist between visits.
BIOGRAPHY
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Difficulty keeping track of symptoms and side effects.
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Struggles with remembering medication schedules.
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Limited access to timely doctor consultations outside of scheduled appointments.
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Overwhelmed by medical terminology and treatment complexities.
PAIN POINTS
Occupation:
Accountant
Condition:
Undergoing treatment for lung Cancer
Location:
Chicago, USA
Age :
65
Gender:
Male
Moderate; comfortable using mobile apps for reminders and communication but prefers simple, easy-to-navigate interfaces.
TECH PROFICIENCY
-
Symptom tracking to log side effects and monitor treatment effectiveness.
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Medication reminders to stay on schedule.
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Easy communication with oncologists for remote support.
-
Educational resources to understand his treatment better.
NEEDS
✅ Stay on top of treatment and medication adherence.
✅ Reduce anxiety by accessing timely support & health insights.
✅ Improve overall well-being and treatment management.
GOALS
DAVID CARTER
Cancer Patient | Undergoing Treatment
Dr. MARK REYOLDS
Oncologist | Cancer Specialist
BIOGRAPHY
Dr. Reynolds, with 15+ years of experience, manages cancer treatment plans, monitors progress, and makes data-driven decisions. However, tracking real-time symptoms and providing immediate interventions is challenging due to a high patient load.
PROFILE
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Struggles with tracking patient progress between visits.
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Overwhelmed by manual paperwork and fragmented patient records.
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Delayed response time due to limited remote monitoring tools.
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Difficulty ensuring patients adhere to treatment and medication schedules.
PAIN POINTS
Gender:
Age :
Location:
Male
45
New York, USA
Occupation:
Senior Oncologist
Workplace:
Cancer Treatment Center
TECH PROFICIENCY
High; comfortable using electronic medical records (EMRs) and digital health platforms. Prefers automated tools for real-time patient insights.
NEEDS
-
Remote patient monitoring for real-time symptom tracking.
-
Secure tele-health platform to provide consultations.
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AI-driven treatment insights for personalised care recommendations.
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Data analytics to assess patient progress over time.
GOALS
✅ Stay on top of treatment and medication adherence.
✅ Reduce anxiety by accessing timely support & health insights.
✅ Improve overall well-being and treatment management.
SARAH MILLER
Caregiver | Supporting a Loved One with Cancer
BIOGRAPHY
Sarah is a full-time teacher while also acting as the primary caregiver for her mother, who is undergoing chemotherapy. She juggles her responsibilities while ensuring her mother follows her treatment plan. Sarah seeks a digital solution to help track appointments, medication schedules, and communicate with doctors efficiently.
PROFILE
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Feels overwhelmed managing appointments, medications, and patient needs.
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Lack of timely updates from oncologists about treatment progress.
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Struggles with understanding medical terms and treatment side effects.
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Limited access to support groups or caregiver resources.
PAIN POINTS
NEEDS
-
Centralized dashboard to manage appointments, medications, and updates.
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Secure messaging with oncologists for quick updates and clarifications.
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AI-powered alerts for medication adherence and symptom changes.
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Community support for caregivers to share experiences and seek advice.
GOALS
✅ Ensure her mother stays on track with treatments and medications.
✅ Reduce caregiver stress by streamlining communication and tracking.
✅ Find emotional support and resources to navigate caregiving challenges.
Gender:
Age :
Location:
Female
39
Stuttgart, Germany
Occupation:
Teacher
Relation to Patient :
Daughter caring for her mother with breast cancer.
TECH PROFICIENCY
High; familiar with mobile health apps, prefers integrated tools for communication and scheduling.
User Journey Map
The Iris Oncology App ensures a seamless, supportive, and patient-centric experience, helping cancer patients track treatment progress, connect with doctors, and manage their health journey effectively.
Product Roadmap
The Iris Oncology App is set to revolutionize cancer care management through intelligent symptom tracking, AI-powered insights, and seamless doctor-patient communication. This roadmap ensures a structured rollout, user-centric improvements, and long-term scalability. 🚀
Metrices & Results (Future Goals)
Total app downloads
5,000 +
Iris Oncology App's pilot launch is targeted for Q2 2025. the projection is at the end of Q4. The goal for Q4 is to increase the number of caregivers, and oncologists and ensure the cancer patients app usage by 35%
GTM Strategy
KPIs
Other Metrices
100%
Increased user Adoption
50
Oncology Clinics Onboarding
50%
User Activation rates
70 %
Customer Retention Rate
User Stories & Acceptance Criteria
Feature
User Story
Acceptance Criteria
Symptom & Treatment Tracking
As a cancer patient,
I want to log my daily symptoms and side effects,
So that I can track my treatment progress and share insights with my oncologist.
-
The user can select symptoms from a predefined list or manually enter new symptoms.
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The app should auto-save entries and provide a history log for past symptoms.
Users receive reminders to log symptoms at set intervals. -
The oncologist should be able to review logged symptoms in real-time.
-
If severe symptoms are detected, the app should trigger an alert to the user and their doctor.
Medication Reminders
As a cancer patient,
I want to receive reminders for my medication,
So that I don’t miss any doses and stay on track with my treatment.
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The user can add medications, dosage, and schedule to the app.
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The app sends push notifications or SMS reminders at scheduled times.
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Users can mark medication as taken, skipped, or delayed.
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If a dose is skipped, the app provides a follow-up reminder.
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Caregivers and doctors can view adherence reports in the app.
Telehealth & Secure Messaging
As a cancer patient,
I want to schedule virtual appointments and securely message my oncologist,
So that I can get timely advice without visiting the hospital.
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Users can book virtual consultations through an in-app scheduler.
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The app should support video calls, voice calls, and text messaging.
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All communication must be HIPAA-compliant and encrypted.
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Users should receive appointment reminders and notifications.
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Doctors should be able to send treatment recommendations directly through the app.
Caregiver Access & Support
As a caregiver,
I want to track my loved one’s symptoms, medication, and doctor interactions,
So that I can assist in their treatment and ensure they stay on schedule.
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The patient can grant access to a caregiver via an invite link.
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Caregivers can view symptom logs, medication adherence, and upcoming appointments.
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The app should allow secure messaging between the caregiver, patient, and doctor.
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Caregivers should receive alerts for missed medication doses or severe symptoms.
AI-Powered Treatment Insights
As a patient,
I want to receive AI-driven insights on my treatment progress,
So that I can understand how well my therapy is working and make informed decisions.
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AI should analyze symptom trends, medication adherence, and treatment effectiveness.
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The app should provide visualized reports (graphs, trends, and insights).
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The system should flag potential treatment inefficacy or concerning symptoms.
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Doctors should be able to review AI-driven recommendations before sharing with patients.
Health & Wellness Integration
As a cancer patient,
I want to sync my health data with wearable devices,
So that I can track my vitals (heart rate, sleep, physical activity) alongside my treatment.
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The app should support integration with Apple Health, Google Fit, and Fitbit.
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Users can view real-time vitals (heart rate, sleep, activity levels) in the app.
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Doctors should have access to patient health trends to assess treatment impact.
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The app should send alerts if abnormal health data is detected.
Non functional Requirements
🖥️ Usability
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Intuitive user interface optimized for mobile and web platforms.
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Minimal steps required for symptom logging, medication tracking, and telehealth consultations.
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Clear feedback for user actions (e.g., successful appointment bookings, medication reminders).
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Accessible design with support for voice commands, large fonts, and screen readers for patients with visual impairments.
⚡ Reliability
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99.9% uptime guarantee to minimize service disruptions for patients and healthcare providers.
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Real-time symptom logging, appointment scheduling, and medication reminders without delays.
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Automated handling of system errors (e.g., AI predictions failing, telehealth connectivity issues) without affecting user data.
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Continuous backup & disaster recovery mechanisms to prevent patient data loss..
🚀System Performance
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Average response time under 2 seconds for logging symptoms, updating treatment plans, and booking telehealth sessions.
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Load-balancing architecture to handle peak usage during critical hours (e.g., morning medication reminders, evening doctor consultations).
🛠️ Supportability
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Modular design for future feature expansions, such as AI-driven treatment insights and predictive health alerts.
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Comprehensive logging for issue diagnosis and error tracking.
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CI/CD pipelines to ensure frequent app updates with minimal downtime.
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Version control with rollback capabilities to maintain system stability during software updates.
📈 Scalability
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Must support up to 500,000 active users and 50,000 oncologists/caregivers within five years.
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Capable of processing up to 100,000 daily symptom logs and medication reminders without performance degradation.
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Infrastructure ready for international expansion in at least 10+ countries, with multilingual support.
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Handle up to $5M in monthly payment volume for telehealth consultations using localized payment gateways (e.g., Stripe, PayPal, healthcare insurance integrations).
Risk Mitigation & Plan
Risk Category
Schedule
Budget
Technical
Operational
Market
Business
Potential Risk
Delays in onboarding oncologists and healthcare providers.
High costs in patient acquisition and marketing campaigns.
Difficulty maintaining accurate symptom tracking and treatment adherence.
System glitches during real-time health monitoring or telehealth sessions.
Limited adoption of the app by caregivers and oncologists.
Revenue shortfall in early stages due to slow premium adoption.
Mitigation Strategies
Partner with leading oncology networks and offer incentives for early adoption. Conduct targeted outreach and onboarding webinars.
Focus on digital marketing in key regions. Utilize patient advocacy groups and referral programs to reduce acquisition costs.
Implement AI-driven verification checks and real-time alerts for symptom logging accuracy. Conduct regular system audits.
Conduct load testing and ensure robust cloud infrastructure. Use secure, HIPAA-compliant APIs for data synchronization.
Develop caregiver-friendly features and incentives for healthcare providers. Strengthen integration with hospital EMR systems.
Diversify revenue streams with telehealth subscriptions, premium AI-driven reports, and insurance partnerships.