Showing 41–60 of 1,000 ranked alternatives.
The University of Texas MD Anderson Cancer Center
Send medical records and schedule appointments
Access medical records and securely message healthcare providers. Check and manage appointments. View patient education materials. Request appointment cancellations. Retrieve personal health information.
Unbound Medicine, Inc.
Oncology Patient Care Resource Guide
The app offers concise information for managing cancer, covering specific malignancies, therapy complications, and treatment options. It includes detailed figures, tables, and appendixes for quick reference and decision-making support.
American Academy of Dermatology
Evaluate skin cancer cases
Determine appropriateness of for skin cancer patients. Access for when is most suitable. Provide guidance for dermatologists and referring physicians. Include decision-making tools and clinical guidelines.
Inspire, LLC
Track symptoms and share updates
Connect with others facing similar conditions. Share experiences, ask questions, and receive support from members. Access detailed information on various topics. Get referrals to experts when needed. Navigate the intuitively to manage discussions.
SPRINGER PUBLISHING COMPANY, LLC
Access , track updates, and review protocols
Access clinical for . Search for conditions and treatments. View evidence-based recommendations. Download printable resources. Track patient cases and notes. Sync with electronic health records. Set personal learning goals.
neatly health Inc.
Chat with AI to discuss visits
AI chat allows users to ask questions about their and medical visits. Instant AI summaries and transcripts provide detailed records of doctor appointments. Users can coordinate care with family members and manage chronic conditions through the .
The University of Kansas
Refer patients to active trials
Find and review active trials. Search by condition or treatment. Share details with patients. Provide referral options for physicians. Track eligibility criteria and locations.
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.