BasetttyMallikarjuna, Assistant ProfessorDept ofCSE,GITAM Deemed to be UniversityHyderabadCampus, Rudraram, Patancheru,Sangareddy,502329, India.

[email protected] Arun KumarReddy ResearchScholar, Bharathiar UniversityCoimbatore,Tamil Nadu, 641 046,[email protected]  Abstract— Health informationmanagement is implemented  in pervasive deviceshas faced several challenges. In Android operating system  developing of health services is lot  of benefitfor the common people for their healthcare. Cloud computing  data retrieval and management interoperabilityand availability of resources, security and privacy unified and ubiquitousaccess.

The aim of the proposed application is to managing healthcareinformation system based on Cloud computing by using Android operating system. CloudComputing provides the facility to access shared resources and commoninfrastructure in a ubiquitous and pervasive manner, offering services ondemand over the network to perform operations that meet changing needs inmobile healthcare application. The proposed system has been implemented usingAmazon’s S3 cloud service, the security of the system is maintained the conceptof bring your own device (BYOD) and the mobile application is developed inandroid operating system. Finally management of patient health records andmedical images generated by the DICOM format and JPEG2000 coding.  Keywords—Cloudcomputing; Amazon’s S3; Health care management; DICOM format ; JPEG 2000;bring your own device                                                                                                                                                               I.

      Introduction                Mobilehealth care management focus towards e-health applications and medicalinformation anywhere and anytime 1. Mobile pervasive health care technologiescan help both patient and physician it support of a wide range of applicationsand provide various services such as mobile telemedicine, patient monitoring,location based tracking medical services, emergency response, personalizedmonitoring and pervasive access to health information1. The informationsystems in each hospital are different from each other 1. This system is usedto share all information from every hospital to design a uniform informationmanagement system 1. But this will result in the invalidation of existingsystems and generate huge amounts of data migration, storage, maintenance,update and other issues 1. Second approach is the use of distributed objecttechnology to develop a distributed system. However, this will also waste theexisting resources.

In addition, it is difficult to extend and the maintenancecost is high 1. Hence to design and built an interoperable information systemthat can take full advantage of the existing resources.                Onepotential solution for addressing all aforementioned issues is the introductionof Cloud computing concept in mobile healthcare systems. Cloud Computingprovides the facility to access shared resources and common infrastructure in aubiquitous and pervasive manner, offering services on demand over the networkto perform operations that meet changing needs in mobile healthcareapplication.

Cloud Computing is a model for enabling convenient, on-demandnetwork access to a shared group of configurable computing resources likenetworks, servers, storage, applications, and services that can be rapidlyprovisioned and released with minimal management effort or service providerinteraction. In this issue HealthKit concept has been developed in androidoperating system which is a pervasive health care information management  system utilizing cloud computing.                                                                                                                                                             II.

    Related WorkThe mobile health care information management system has been developed inIOS (iphone operating system) for the latest version iphone 8 plus. There is nowork in the literature utilizing cloud computing for developing pervasive healthcare management system in Android operating system. Several studieshave made in patient-related information, in India worldwide how many people affecting with deferent diseases  Thus, the pervasive and ubiquitous access tohealthcare data is considered essential for the properdiagnosis and treatment procedure1,2. Cloud Computingis amodel for enabling convenient, on-demand network accessto a shared group of configurable computing resourcesnetworks, servers, storage, applications, and services are provisioned as metered on demand service over the network  that can be rapidly provisioned and released with minimalmanagement effort or service provider interaction6,8. The Cloud computing model promotes availability and is composed of five characteristics 6,8. First one is On-demandself-service it automatically consumer can access the network storage,server computing tine.

Second one is BroadNetwork access recourses smart phone can be access through the standardnetwork mechanism heterogeneous platforms 2. Third one is Resource Pooling in which multipleconsumers using multi-tenant model, with different physical and virtualresources such as storage , processing, memory, network bandwidth, virtualmachines etc. dynamically assigned and reassigned to consumer demand 2,6.                                                                                                                                      III.   analysis of health diseases                 There is a need to motivate for developing mobilehealthcare application to bring into the common man. The different analysisrepots gathering from the In India eight states statistical report has analyzedadjusted of their ages greater than or equal to twenty  has shown in Figure1. State wise report ofhypertension the age standardized prevalence of hypertension was 27.

1 percentin men and 26.4 percent in women observed with increasing of their ages 3. The Odisha having  50 to 54 percent prevalence of hypertensionamong men  and was shown in figure and secondone is Kerala 37 to 45 percent and lowest state in Gujarat 7 to 11 percent 4 .  In Figure 2 shows the death ratesfrom chronic disease per every 100000, world health global orbal organizationrelease the statistical reports (WHO), The highest death rates was happened inRussian Federation 4.

In Figure 3 shows the worldwide  totally 35 million people will diein 2005 from various disease sucha as heart disease, stroke, cancer, and otherchronic diseases 5. In 20 percent of these deaths was happened in high incomecountries, high income countries death rates are less compared to low incomecountries and 80 percent death rates was happened in low income countries asshown in Figure 455. In Figure 4, the death rates fromthese potentially preventable diseases are higher in low-income andmiddle-income countries than in high-income countries, especially among adultsaged 30–69 years 5.   According Figure 2,3 and 4 high income people death rates are lesscompared low income people. High income people using iPhone. The mobilehealthcare application is implemented in iPhone version 6plus – 8plus which isIOS mobile operating system. Those who are using iPhone it help the people tosave time managing their  health care.The iPhone users  locate physiciansnearer to them, manage their prescriptions or check their Health Savings Account(HSA) balance, Health4Me is their go-to resource for everything related totheir health conditions.

Hence we motivated to bring HealthKit application inAndroid OS.                                                                                                                                   IV.   Proposed Appilation Overview                 The interoperable medical information systemdesigned can provide services based on the request from the user mobile. Cloudcomputing service usually is in the platform frontend interface thatcommunicates directly with users and allows the management of the storagecontent.

Services in the system are loose coupled and can be used repeatedly,which     effectively reduce thecomplexity of system design and implement, it greatly improve the systemscalability and maintainability.                It can help healthcareorganizations in addressing the technical issues in BYOD implementation througha cost-effective way.  This is done through effective mobile devicesolutions that utilize various tools in solving specific BYOD securityissues.

  Moreover, installation of security patches, updating of mobilesecurity device software and interacting with other systems used for datasynchronization and storage are taken into consideration.  The Cloud Service client running on Android OS consists ofseveral modules. The Patient Health Record application acquires and displayspatient records stored into the cloud. The Medical Imaging module is responsiblefor displaying medical images on the device has shown in Figure 5. Figure 5: Smart devices are connected tocloud computing                        architecture                The  healthcare providers are undergoing a quickmobility to implement security measures on their mobile devices  to complywith strict government regulatory standards.  There is now an emergingdemand for companies that can provide specialized services on mobile devicemanagement in healthcare.  The need for reliable mobile device securitysoftware to monitor and enforce a real-time data security isunderway.   These mobile security devices enable simpler and quickeraccess to data that results in better care of the patients.

  Withhealthcare professionals becoming less dependent on laptops and desktops, theywould be able to provide a more efficient care in any environment.  It iscost effective.  It allows organizations to reduce the need for moredevices, thus bringing down costs.  Moreover, you can also reduce yourmaintenance cost when there are only few devices to maintain.                The Clinic module exposes twointerfaces, a Web Server and a Web Service, for the clinic staff, the patientsand the medical devices. The Web Server interface is intended for users whoprefer to use a Web browser to access the healthcare services. The Web Serviceinterface can be used by humans or devices to communicate with the mobilehealthcare system. The Web Server uses the Web Services to access the data.

TheClinic module provides support for routine activities of the physician. PatientModule: Patients can link to the interoperable medical information systemthrough Internet for information querying and view, once they are authenticatedcorrectly by the system server. If more detailed data is needed, they canpropose to hospitals through the interoperable medical information system. Thenthe second authentication takes place in the interface server of hospitals. CloudModule: Cloud computing has computational and sociological implications. Incomputational terms cloud computing is described as a subset of grid computingconcerned with the use of special shared computing resources. For this reasonit is described as a hybrid model exploiting computer networks resources,chiefly Internet, enhancing the features of the client/server scheme.

From asociological standpoint on the other hand, by delocalizing hardware andsoftware resources cloud computing changes the way the user works as he/she hasto interact with the “clouds” on-line, instead of in the traditionalstand-alone mode.   Mobile User: The Cloud Service client runningon Android OS consists of several modules. The Patient Health Recordapplication acquires and displays patient records. The Medical Imaging moduleis responsible for displaying medical images on the device. The communicationwith the Cloud is performed through an implementation of Web Services that issupported natively by Android OS. Server Side The web application will behosted on one of the department’s Windows servers and connecting to one of theschool Oracle Database server. The web server is listening on the web standardport, port 80.  Client Side The system isa web based application; clients are requiring using a Mobile.

The computermust have a network connection in order to be able to access the system.                             Asper the Algorithm 1Cloud Computing is a model for enabling convenient,on-demand network access to a shared group of configurable computing resourceslike networks, servers, storage, applications, and services that can be rapidlyprovisioned and released with minimal management effort or service providerinteraction.        CloudComputing provides the facility to access shared resources and common infrastructurein a ubiquitous and pervasive manner, offering services on demand over thenetwork to perform operations that meet changing needs in mobile healthcareapplication.

                                                                                                                                            V.    Experimental Evaluation The experimental evaluation has been done from the system in practiceand performance have been conducted. The time is required for transmit datafrom the Amazon S3 Cloud computing service. The existence results have beeninvolved the transmission of medical images. The following HealthKit application has been executed in the T mobilerunning on Android OS 8.0. There are number of medical images having differentqualities OT is 24 bit JPEG 2000 losslesscolor, CT Uncompressed, CT JPEG 2000,MR is JPEG lossless, PET JPEG 2000 Lossy and Ultrasound sequence of 10 images ,JPEG 2000 Lossless  having file size andtime have been tested in Table 1.

  Thereare three networks have been used 3G, 4G networks and WLAN networks Table1: Medicalimage transmission using Amazon S3 Cloud Service with different networktypes                  The experimentalresults shows the WLAN having less time transmit the data in terms of responsetime in Amazon S3 Cloud service. The HealthKit application works with the BYOD          there are various ubiquitous liketablets, mobile devices, smart phones, lap tops  has become a major concern for health careorganizations. The health care organizations focus on concept of BYOD. It satisfiesthe patients and physician they use portable device in their workplace.

 Insmart phone android operating system implemented the the following HealthKitapplicatoin, it can automatically detect the Bluetooth medical devices andgather data from them. The following Figures 6,7 and 8 are snapshots of theHeathKit mobile application DICOM header extraction JPEG2000 progressive decodinga CT scan resolutions.  In Figure 6 evaluation of health check up in dash board day wise, week wise, monthwise, year wise reports are displayed. the  services syncing them to health application without the user having to doanything in a third-party app, making it easy for users to find healthinformation in a single place. If you have hospital looking for help Infigure7, future plan need to be take for health evaluation.

 Now mobile user canunderstand his health condition and where he would like to go, he can analyzehis health condition and plan to get health check up. The health kit can designall parts of user mobility infrastructure, Figure 8 gives the present dayhealth record from wireless and networking to a plan for managing security riskand performance.                                                                                                                                                                VI.   Conclusion                In present dayhealth communication mechanisms are based largely on paper records andprescriptions, are old-fashioned, inefficient, and unreliable. In this paper mobile healthcare system is designedin Android OS in  Cloud computing environment. Wedeveloped a distributed medical information system for use by physicians,nurses, and other professionals, as well as by patients and medical devicesused to retrieving patient’s records. It is effective and timely communicationbetween patients, physicians, nurses, and other healthcare professionals isvital to good healthcare.

                Infuture there is a scope to design improving services by advanced  techniques on the mobile devices throughvoice recognition. wide range of applications and services. References 1     Maglogiannis I.

,Doukas C., Kormentzas G., Pliakas T., “WaveletBased Compression With ROICoding Support for Mobile Access toDICOM Images Over Heterogeneous Radio Networks”, IEEETransactions on Information Technology in Biomedicine, vol.13, no.4,pp.

458-466, July 2009.2     The Android mobileOS by GoogleTM,     A.

Laxmaiah, I.I.Meshram etc. ” Socio-economic & demographic determinants ofhypertension & knowledge, practices & risk behaviour of tribals inIndia”, Division of Community Studies, National Institute of Nutrition(ICMR), Hyderabad, India, Indian J Med Res 141, May2015, pp 697-708.4     WHO Library cataloguing-in-Publication Data ” Globalstatus report on noncommunicable diseases 2010″, ISBN 978 92 4156422 9.

   5     KathleenStrong, Colin Mathers etc. ” Preventing cronic deseeses: how many livescan we serve? DOI:″6     George Reese, CloudApplication Architectures: BuildingApplications and Infrastructure in the Cloud, O’Reilly Media,Paperback (April 17, 2009), ISBN: 05961563677     The SQLite DatabaseEngine,     Amazon.s AWS Success Case Studies,


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