EqWe Care

EqWe Care

EqWeCare: Becasue We Care

Created on 11th February 2024

EqWe Care

EqWe Care

EqWeCare: Becasue We Care

The problem EqWe Care solves

EqWeCare is a cutting-edge, data-driven platform revolutionizing the way healthcare providers access and utilize patients' electronic health records (EHRs). By integrating advanced data analytics and innovative technology, EqWeCare serves as a comprehensive, one-stop solution for healthcare professionals to securely access and manage a vast multitude of patient health information in different file formats.

Key features and benefits of EqWeCare include:

Streamlined Access: EqWeCare provides seamless access to patients' EHRs, consolidating data from various sources into a unified platform. This streamlines the process for healthcare providers, saving time and improving efficiency.
Comprehensive Data Analysis: Leveraging advanced analytics tools, EqWeCare offers insights into patient health trends, medication adherence, treatment outcomes, and more. Healthcare providers can make informed decisions based on comprehensive data analysis, leading to better patient care and outcomes.
Interoperability: EqWeCare promotes interoperability by facilitating the exchange of health information between different healthcare systems and providers. This ensures continuity of care and enables collaboration among healthcare professionals involved in a patient's treatment.
Security and Compliance: EqWeCare prioritizes data security and compliance with healthcare regulations, implementing robust encryption protocols and access controls to protect patient confidentiality and privacy.
Personalized Care Plans: With access to a wealth of patient health data, healthcare providers can create personalized care plans tailored to each individual's needs and preferences. This patient-centric approach improves engagement and satisfaction while optimizing treatment outcomes.
Scalability and Flexibility: EqWeCare is designed to scale with the growing needs of healthcare organizations, offering flexibility to adapt to evolving technology and regulatory requirements.

Challenges we ran into

Challenges we ran into are deployment of MongoDB White space access for React connection. We could not find the sample EHRs of the patient data set due to data privacy concerns and had to fetch vitals only for a handful of samples. For now we relied on vitals from a structural data but hope to increase the sample size in the next phase of the project.

Tracks Applied (8)

Health

Our application strategically ensures immediate assistance to emergency patients by providing a one click consolidated s...Read More

Finance

Our project enables curation of more effective insurance programs for medical insurance practitioners, alongside, provid...Read More

Intel Developer Cloud Track

We built our T5 LLM Models on Intel Developer Cloud.

Intel Developer Cloud

Elevance Healthcare Track

In our project our model reads the multi media historical medical reports of patients and summarizes the past health rep...Read More
Carelon

Carelon

Traversaal AI Track

We used Traversaal AI to build out conversational chatbot for support and smooth onboarding of users.

traversaal.ai

Best Use of MongoDB Atlas

We used MongoDB to store our data in a collection and to establish connections between streamlit, react and flask.
Major League Hacking

Major League Hacking

Best Tech Domain Name

We believe that our tech domain is quite intuitive and creative that correctly showcases out mission of providing Equal ...Read More
Major League Hacking

Major League Hacking

Generative AI - Presented By Microsoft

We used to Gen AI to convert features to descriptions in the Reports summary feature and to analyze and classify health ...Read More

Discussion

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