The need for round the clock assistance, has evolved dramatically, with increase in both the extent of care and number of patients. With the advancement of AI in healthcare industry, traditional view of a nurse at the hospital while monitoring the patient’s health, administering medication of patient, assisting the doctors has changed. Wondering how to go to a doctor when your health is not well ? Don’t worry. Application like Sensely has introduced this virtual nurse technology to the healthcare industry for providing clinical services to the patients. The American Nurses Association predicts that by 2022, “there will be a need for 3.44 million nurses” in the United States (Strategic Programs Inc.)
Sensly is a healthcare platform that provides an interface to the patients where they can engage in natural conversation with the nurse Molly, a virtual healthcare assistant . The platform includes advanced sensor capabilities as well as telemedicine features.
Virtual nurse avatars alter the provisioning of patient services and increase the accuracy of remote patient monitoring when patients leaves the hospital. Sensely, the AI powered application is having the virtual nurse technology which leverages the features like self-care, check-ins for patients, providing clinical recommendation, collection patient data, supplying hospital discharge directions and training patients for educating them regarding the ill health. Currently, the app is being used as a remote monitoring tool in the US primarily for chronic conditions, including heart disease, chronic obstructive pulmonary disorder (COPD) and diabetes(pharmaphorum.com).Health care Companies are already relying on the virtual healthcare assistants and using it internationally for growing their business across the globe as follows :
Nuance has launched Dragon Medical Virtual Assistant
BeyondVerbal has a emotional analytic engine that detects the emotions
Affectiva has Emotion AI which analyses complex and nuanced human emotions and cognitive states from face and voice
If you are the owner of an on demand healthcare platform, you already are aware about the importance of bringing innovations to your business products to stay in the competition. Virtual Medical assistant is destined to enhance patient experience that will help in providing better medical assistance for your healthcare system.
The estimated cost of developing virtual medical assistant app will be in the region of $11.5K - 13.5K.
Check out standard features for each layer that will be accessible to respective users.
|System Users||Patient Mobile app||Admin Panel|
|Features||Sign Up/ Login||Login|
|Virtual Avatar for support||Managing Patients|
|Symptom checker||Symptom analysis|
|Symptom Assessment||Symptom reports|
|Appointment booking||Managing Patient Appointments|
|Nearby Health Service Finder||Patient report|
|Managing a CHF population||Push Notification|
|Clinical Healthcare advices||Email Notification|
|Patient education videos||Managing Patient education videos|
|Cost for application development||USD 11.5K - 13.5K (Including Mobile applications for both the iOS and Android platform and Web admin panel)|
According to a research, Virtual medical assistant can replace up to 58% older patient medical services issues, offering more efficient enhanced customer clinical support experiences without the hassle of synchronous phone conversations, waiting time and annoying delay. Some of the capabilities and functions that can be facilitated and performed by virtual nurse in healthcare system are:
Mobile app development has been a core service of Let’s Nurture, having developed number of applications depending upon diverse business needs.The team to develop a dynamic, robust and scalable virtual nurse app like Sensely should ideally consist of:
We are a top ISO 9001:2015 certified custom mobile app development company delivering quality services beyond client expectations. Let’s Nurture provides guarantee in unique consultation.
Competitive Pricing for custom requirements
Strategic consultation on technology
Brainstorming and structuring a quality driven development cycle
Expert team of resources deployment
Designing a Chatbot conversation
Building a Chatbot using Chatbot frameworks
On time reporting and effective communication
Industry based chatbot solutions
Quality testing and analysis
A comprehensive Project review
Complete transparency on deliverables