The document proposes using IoT and epistemology to provide strategic health care solutions for smart communities. It outlines two key problems: 1) quick diagnosis for patients and 2) creating health care strategies and reconfiguring hospital resources based on diagnoses. The proposed solution is to maintain a dataset of treated medical cases and their characteristics. Stakeholders would search for similar past cases to provide scored treatment solutions and optimize resource allocation. This would allow for faster diagnoses and more efficient health care strategies tailored to patients' needs.

1. HEALTH CARE
SOLUTIONS FOR
SMART COMMUNITY
USING IOT BASED
EPISTEMOLOGY
ABSTRACT
Accessing and analyzing health status of people in smart
communities using IOT and providing strategic solutions
using epistemology
Ramya Reddy Singasani
Application Engineering Development – Information
Systems

2. Introduction – Problem Statement
The growing trend of population and their health issues in cities pose many greater challenges to provide the
optimal health care solution at the right time. With the increase in number of causalities every day in hospital
there is a need to find a strategic solution to treat patients in a faster and efficient way. Also one of the
challenges is the health care of the elderly, which consumes time, resources, and manpower.
Proposed Solution
The trend of community facilitation of health care treatment has become popular in recent years with the
development of Smart City. Compared with the traditional local hospital health care, community-based smart
health care is aiming at providing convenience, effective treatment, adequate interaction, and quick
reconfiguration to make the maximum use of the medical resources according to patients’ specific
requirements possible.
The use of IoT technology alone can establish an information network that interconnects hospitals,
communities, healthcare devices, homes, and other terminals. Facing with the tremendous information
content and great system complexity, the network itself cannot provide quick and effective health care
treatment.
There still exists two key problems in the application of IoT based health care:
1) Quick diagnosis for patients
2) Health care strategy creation and hospital resources reconfiguration based on the diagnosis.
Epistemology, the application of which is still at exploring stage, is found as a promising attempt that can help
to quickly find the solution for such large scale system as IoT-based Health care solutions.
Brief Design of solution
A dataset of all treated (either successful or unsuccessful) cases with below mentioned information will be
maintained at Medical Information centers:
 Cause of the illness
 Duration of the illness
 Age of the patient
 Main characteristics and symptoms
 Place in the body
 Side of the body
 Degree of effect
 Treatment result
 Treated by organization
 Treated Doctor and Nurse
 Location of the patient
Stakeholders, as per the access level will try to find a similar case from the entire data set. When a case is
compared against the existing set, a score is set against each compared case and required solution.
Different solution sets with matching data would be provide based on the score and provides the most
optimum solution possible.

3. Stake Holders
 Hospital Administrators
 Doctors
 Community health care administrators
 Medical Information centers
 House hold users
 City Administrators
References
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6722995