The problem One-Care solves
There are a lot of problems which solved by One-Care (Healthcare Application):- 1 - MISDIAGNOSIS:- Patients trust their physicians to conclusively determine what is making them sick and provide the appropriate remedy. Doubts about the doctor’s capability to perform his or her responsibilities accurately erode trust. Spending 30 minutes googling is no way to judge how well a 10-18 year medical training turned out.
2 - MACHINE LEARNING:- ML can identify patterns to suggest the presence of specific diseases and conditions. This would drastically reduce the amount of time it takes to conduct a differential diagnosis to come up with a final diagnosis.
3 - LIMITED ACCESS TO ADVANCED CLINICIAN TRAINING:- While technology can never replace a rigorous hospital training program, it can help to lower the cost of delivering such training and pave the way for hospitals to admit more residents even with their limited resources.
4 - EARLY-STAGE DISEASE DETECTION:- Cancer, diabetes, obesity, heart disease and kidney disease are all lifestyle diseases. They’re triggered by factors that include sedentary lifestyle habits, bad food choices and lack of exercise. We know the risk factors well but disease detection is often too late.
5 - COST OF HEALTHCARE SERVICES:- It’s not easy to turn people away just because their case is not an emergency.Rising healthcare costs. It is well known that the US has some of the most expensive healthcare services in the world – and it isn’t surprising to see many apps being built to calculate costs for treatments. The system is designed to benefit insurance companies, pharmaceutical corporations, and healthcare service networks. Patients are the least beneficiaries in the pyramid and yet the ones upon whom the whole industry is built.
Challenges we ran into
There are a lot of changes stuck in the path to making applications.
1 - DataSet:- This is one of the major challenges of our application that to find the dataset of the disease and respective symptoms.
2 - Resources:- In training the machine learning model of disease and finding the probability of the disease whether it is present or not.
3 - Development Approach:- With the development approach, you have to consider the nature of your business and future plans to decide whether to go for hybrid development, or native development, or even just web-based mobile app development. With this, you need to strategize UI & UX needs. Apart from these, several more aspects are there which need to be taken care of.
To End This We will face a lot of barriers in our way as you get into the mobile app market where the number of competitors is large