Type
AI-based telemedicine and remote consultation platform
Objective
A leading health care company in the United States wanted to design a secure, scalable telemedicine and remote consultation platform. They wanted an integrated platform to provide virtual health services across various regions. To improve access, the client wanted to ensure that patients can consult with doctors over the remote consultation interface while maintaining maximum security and medical record privacy. They also planned to automate the consultation process in such a way that it would reduce human interaction, eliminate operational costs, and at the same time, increase patient engagement.
Technologies
AngularJS for Web; iOS and Android for Mobile, AI – Symptom diagnosing; Appointment scheduling; Reminder sending, Blockchain – Development on medical records and data exchange securely and immutably
Country
United Kingdom
Project Attributes
Engagement Model
Dedicated Team Engagement
Duration
8 months
App Users
Doctors, patients, healthcare administrators, and pharmacists
Challenges
- Patient Data Dissemination: As there are thousands of patients who started
using the service, the client encountered a massive challenge of managing all
medical records that were distributed through several channels and keeping
them confidential. - Adherence and Confidentiality: The question of HIPAA compliance and
information security was an enormous concern in the virtual consultation
scenario. - User Engagement: Doctors and patients were unable to adapt to the
telemedicine solutions adopted currently; thus, user engagement was low, which
resulted in longer wait times for appointments. - Manual Processes: Scheduling and follow-up processes were manual, which
created inefficiencies and frustrated patients with waiting times and mistakes in
scheduling.
Solutions
- AI-Based Diagnosis Based on Symptoms: It incorporated an AI engine for
screening the patient’s symptoms in advance and providing possible suggestions
of a diagnosis. Subsequently, it reduced the burden and helped to save the
doctor’s time - Data Protection through Blockchain: Also, being of a nature that does not
allow any kind of modification, blockchain was also used to secure and
authenticate the storage of medicinal records. The HIPAA or other regulations
were not compromised. - Automated Appointment Scheduling: It used AI to schedule appointments
automatically and deliver reminders, thus reducing missed appointments and
improving coordination between the physician and the patient. - Cross-Platform Accessibility: The platform was engineered for smooth access
on web (AngularJS), iOS, and Android, that may reach all users without any
difficulties. - Tailored Treatment: By proper AI-driven analysis of the patient’s medical
records, the platform rendered recommendations for suitable treatments that
improved patient care.
Results:
- Increased Security and Compliance: Blockchain technology ensures that HIPAA-compliant and secure patient data management happens; thus, the level of probability of data breach is reduced by 50%.
- Faster Diagnosis and Consultation: AI use helped reduce the time taken for first diagnosis and consultation, with a 30% increase in consultation speed. Increased Patient Engagement: Rates of patient satisfaction increased by 25% due to streamlined scheduling and tailor made treatment plans.
- Reduced Operational Costs: It automated scheduling and reminders, which reduced the operational costs by 20%. Ease of Use: With apps on iOS and Android, besides the web, over 90% of the users experienced ease of access and ease of use.
Conclusion:
Adorebits revolutionary telemedicine solution made a revolution in the healthcare services of its client: Secure, efficient, and easy-to-use, it made a vast difference in the improvement of care for patients and efficiency in operations.