Cloud based Secure Multi Owner Hospital Management System Omkar Warghade [1] , Rupashree Pandithurai [1] , Swarali Joshi [1] , Rutuja Patil [1] Student [1] , Department of Information Technology, Pune University, Pune, India. 411033. Archana Jadhav [2] Faculty [2] , Department of Information Technology, JSPM’s RSCOE, Pune, India, 411033. Abstract:- Nowadays, in the Healthcare sector, digitalization is an essential part of the system. Technology has placed at the disposal of the healthcare community various potent tools to improve patient care. Since e-Health Records are easily available to physicians, they can access complete medical histories of patients and make the most well-considered medical decisions. Still, storing confidential health information to cloud servers is prone to revelation or stealing and necessitates the event of methodologies that ensure the privacy of PHRs. Existing hospital system does not contain multi- hospital appointment booking system. Proposed system overcomes certain drawbacks of existing system. The patients search nearest hospitals on the application and get no of nearest hospitals with their ratings reviews and waiting time. Patients send appointment requests to hospital and get confirmation of the hospital through the message. Multiple doctors can share the same patients for treatment. Keywords— Book appointment, feedback, Encryption, nearest location. I. INTRODUCTION: Cloud computing is widely utilized by people and organizations (including government agencies), to store and access massive volume of knowledge (e.g., text, image, and video), that is not generally encrypted before outsourcing. Searchable encoding (SE) schemes alter user’s knowledge to firmly search and through selection retrieves records of interest over encrypted knowledge (outsourced to the cloud), in line with user-specified keywords. However, there are different fascinating properties once coped with encrypted knowledge outsourced to the cloud. For instance, once encrypting an important volume of knowledge, typical encoding approaches end up with limitations due to multiple copies of ciphertexts (e.g., publically key encoding schemes) and complicated, big-ticket key management (e.g., in radial encoding schemes). Ciphertext-Policy Attribute-Based encoding (CP-ABE) schemes are designed to mitigate these two limitations, also enhancement of access permissions in multi-user settings and facilitating one-to-many encoding. II. LITERATURE REVIEW: Privacy-Preserving Attribute-Based Keyword Search in Shared Multi-owner Setting (2019)[1] This paper incorporates Ciphertext-Policy Attribute-Based Keyword Search(CP-ABKS) which facilitates query search and it assists fine grained access control over the encoded data on cloud. This is a privacy preserving system with hidden access policy in shared multi-owner setting. Furthermore, it shows how the system is improvised to support malice user tracking. The proposed ABKS system also attains discerning security. We assess the system’s performance using real-world datasets. Student Residential Distance Calculation using Haversine Formulation and Visualization through Google Maps for Analysis[2] In this paper, data mining concept is used. In the proposed system, they are using Haversine algorithm for calculating distance between two addresses. Google Maps API is also used to calculate longitude and Latitude of each and every address. Using this concept they will calculate the distance of two points on the GPS. Haversine Algorithm helps in finding great-circle distance between two points on a sphere given their longitudes and latitudes. In this paper GMap is basically used for direction and transit, traffic conditions, street view. SeSPHR : A Methodology for Secure Sharing of Personal Health Records in the Cloud[3] In this paper, a methodology called the SeSPHR is proposed for sharing the PHR’s securely on cloud. This scheme allows to preserve the confidentiality of the health records and grants access to users. SeSPHR provides security against insider threats. It also enforces back and forth access control. This project ensures patient-centric control on the PHRs as well. Patients store all of their health records on the untrusted cloud servers and selectively grants access to diverse users on various portions of the health records. Reduced outpatient waiting times with improved appointment scheduling: a simulation modeling approach[4] When we have an emergency condition, we often have to deal with unknown variables such as travel, distance and time of the medical services near us. In this paper, the author has concentrated on the effects of travel time and waiting time and especially on the waiting time elasticity of demand. An effective appointment system is a critical International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 http://www.ijert.org IJERTV9IS010092 (This work is licensed under a Creative Commons Attribution 4.0 International License.) Published by : www.ijert.org Vol. 9 Issue 01, January-2020 142