DocScout is based on a Healthcare platform specifically developed for global healthcare markets. The new limitations for, hospitals and healthcare providers are moving towards digital platforms for healthcare services and patient assistance. Services include booking and comparing lab tests, scheduli
DocScout
DocScout is based on a Healthcare platform specifically developed for global healthcare markets. The new limitations for, hospitals and healthcare providers are moving towards digital platforms for healthcare services and patient assistance. Services include booking and comparing lab tests, scheduling home nursing services, appointments with local physicians, and access to expert physicians for a second opinion.
DocScout help patient with online appointment booking for doctors, and home nursing staff along with many other features, it is hard for a patient to know the timing of any particular doctor in your area or to know any particular doctor’s availability. A patient can learn about any particular doctor’s bio based on experience, and qualification, The long queues at doctor clinics and hospitals make it hard for patients to visit. DocScout help users connect with the top service on its digital system and provide access to doctors and patient for their convenience.
Patients can rate service quality and personal experience for an appointment with doctors and home nursing staff and their staff after the services are availed, which helps other patients to select or book rated doctors and home nursing staff.
With DocScout, you get instant doctor appointment confirmations as well as reminders.
The combination of increasing global smartphone penetration and Machine learning (ML), helps identify patterns in data. ML can transform healthcare epidemiology, providing examples of successful applications and the recent advancement in computer vision made it possible for smartphone-assisted healthcare services. The algorithm learns to map from a set of covariates of data to the outcome. This part is performed on the training data. Once learned, this mapping can be applied to new test data for identification or prediction tasks once learned. A machine-learning algorithm is used to predict the current scenario of the categorical dependent variable through the use of predictor variables. It is often used for classifying and predicting the probability of an event.
DocScout will let discover allopathic, homeopathic, and eastern medical doctors and book the top doctors according to their rating, fees, schedule timing, and book in-person appointments. The project does include home nursing servicing staff for the required patient. Through this application, the relationship between doctors and patient becomes come well.
The DocScout project will meet the following objectives:
DocScout aims to enable patients to get more accurate information of doctors. For this purpose doctor’s data will be gathered not only from allopathic but homeopathic, and eastern medicine. For this high volume of data cloud services will be needed to extract valuable insights. Machine Learning algorithms will be used to rate the doctor’s performance. A machine-learning algorithm is used to predict the current ranking and reviews scenario of the doctors and home nursing staff through the use of predictor variables, which are often used for classifying and predicting the probability of an event.
Following are the benefits listed:
DocScout project will provide a mobile application and website which include:
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Network Adapter XG-C100C Backup compatible 10GBase-T | Equipment | 2 | 24300 | 48600 |
| NVIDIA 2GB Graphics Card | Equipment | 1 | 21400 | 21400 |
| Project Miscellaneous | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 80000 |
Due to the limited number of I/O pins in PLC, the proposed way to interface multiple senso...
We are doing Bachelors in Electronics Engineering from Sukkur IBA University. Our final ye...
Cardiac Diseases? in Pakistan is the riskiest factor of death. 30 to 40 % of all deat...
The population in the world has reached 7.7 billion in 2019, an increase of 1 billion sinc...
Under the JPMA study, there was only one cross-sectional study, by Khalil et al., W...