Abstract
Ubiquitous healthcare is an emerging area that employs ubiquitous technologies to enable technology oriented environment for healthcare professionals for provision of efficient and effective healthcare services. In past years, research community has proposed various technological solutions in different healthcare areas such as chronic disease monitoring, gait analysis, mood and fall detection, neuropathic monitoring, physiological and vital signs monitoring, pulmonogical monitoring, etc. However, in-depth analysis of these proposed solutions is required to analyze the form of proposed ubiquitous healthcare solutions; the extent ubiquitous technologies are integrated in these solutions; the type of real problem addressed; and how far these solutions are evaluated in real world settings? The addressal of these questions is critical to understand and evaluate the progress made in the area of ubiquitous healthcare and identify the challenges that are hindering the progress in this area. Therefore, in this research, a systematic research technique in the form of mapping study (also known as scoping study) is employed for in-depth analysis of evidences available on ubiquitous healthcare. The mapping study adopts a systematic approach to construct chain of evidences related to a particular topic and is a well-defined research technique in evidence based software engineering. This study identified a total of 103 primary studies, published between 2007 and 2018, for analysis of area under investigation. The study findings reveal that research trend in ubiquitous healthcare is horizontally spread by involving broad range of healthcare areas. The proposed solutions largely fall under the category of validation studies where experiments are conducted in laboratory settings rather real world environment. Another interesting finding is the lack of involvement of relevant healthcare community in proposed solution design. The challenges such as context awareness, data ownership, privacy and security, usability and trust are limiting the adoption of proposed solutions. Therefore, more extensive studies are required to first evaluate the applicability of proposed solutions in their respective environment, second, engagement and ownership of relevant community in solution design need to be considered. Third, the broad coverage of healthcare areas does not provide significant clusters of similar research in any particular area therefore future research should focus on strengthening these areas by conducting evaluation based longitudinal studies. In this way, the effects of proposed solutions can only be measured objectively and can be added to the body of knowledge. Finally, this research provides a thorough insight into the research on ubiquitous healthcare and offers an opportunity to conduct further research in this area.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Aarts EH, Encarnação JL (2006) True visions: the emergence of ambient intelligence. Springer Science & Business Media, New York, pp 29–32
Abdelnasser H, Harras KA, Youssef M (2015) Ubibreathe: a ubiquitous non-invasive wifi-based breathing estimator. In: Proceedings of the 16th ACM international symposium on mobile ad hoc networking and computing, ACM, pp 277–286
Acharya D, Kumar V, Han HJ (2012) Performance evaluation of data intensive mobile healthcare test-bed in a 4G environment. In: Proceedings of the 2nd ACM international workshop on pervasive wireless healthcare, ACM, pp 21–26
Adibi S (2015) Mobile health: a technology road map, vol 5. Springer, Berlin
Agarwal S, Pandey G, et al (2010) SVM based context awareness using body area sensor network for pervasive healthcare monitoring. In: Proceedings of the first international conference on intelligent interactive technologies and multimedia, ACM, pp 271–278
Ahamed SI, Haque MM, Stamm K, Khan AJ (2007) Wellness assistant: a virtual wellness assistant using pervasive computing. In: Proceedings of the 2007 ACM symposium on applied computing, ACM, pp 782–787
Ahluwalia P, Varshney U, Koong KS, Wei J (2014) Ubiquitous, mobile, pervasive and wireless information systems: current research and future directions. Int J Mob Commun 12(2):103–141
Ahmed S, Raja MYA (2012) Integration of wireless sensor network with medical service provider for ubiquitous e-healthcare. In: High capacity optical networks and emerging/enabling technologies, IEEE, pp 120–126
Alagöz F, Valdez AC, Wilkowska W, Ziefle M, Dorner S, Holzinger A (2010) From cloud computing to mobile internet, from user focus to culture and hedonism: the crucible of mobile health care and wellness applications. In: 5th international conference on pervasive computing and applications, IEEE, pp 38–45
Albaghli R, Anderson KM (2016) A vision for heart rate health through wearables. In: Proceedings of the 2016 ACM international joint conference on pervasive and ubiquitous computing: adjunct, ACM, pp 1101–1105
Amini N, Sarrafzadeh M, Vahdatpour A, Xu W (2011) Accelerometer-based on-body sensor localization for health and medical monitoring applications. Pervasive Mob Comput 7(6):746–760
Antoniou A, Valchinov ES, Chatzigiannakis I, Kalogeras AP, Alexakos C, Konstantinopoulos P (2015) Patriot: delivering instant heart observation with a miniature wearable ECG and cloud platform. In: Proceedings of the 19th panhellenic conference on informatics, ACM, pp 177–182
Anya O, Tawfik H (2017) Designing for practice-based context-awareness in ubiquitous e-health environments. Comput Electr Eng 61:312–326
Bahtiyar Ş, Çağlayan MU (2014) Trust assessment of security for e-health systems. Electron Commerce Res Appl 13(3):164–177
Ball M, Callaghan V, Gardner M, Trossen D (2010) Achieving human-agent teamwork in ehealth based pervasive intelligent environments. In: 2010 4th international conference on pervasive computing technologies for healthcare, IEEE, pp 1–8
Bardram JE, Frost M, Szántó K, Faurholt-Jepsen M, Vinberg M, Kessing LV (2013) Designing mobile health technology for bipolar disorder: a field trial of the monarca system. In: Proceedings of the SIGCHI conference on human factors in computing systems, ACM, pp 2627–2636
Basto Diniz JR, Ferraz CAG, Melo H (2008) An architecture of services for session management and contents adaptation in ubiquitous medical environments. In: Proceedings of the 2008 ACM symposium on applied computing, ACM, pp 1353–1357
Bellini A, Cirilo CE, Prado AF, Souza WL, Zaina LA (2011) A service layer for building GSM positioning systems in e-health domain. In: 2011 fourth international conference on Ubi-media computing, IEEE, pp 7–12
Bhatti R, Moidu K, Ghafoor A (2006) Policy-based security management for federated healthcare databases (or rhios). In: Proceedings of the international workshop on Healthcare information and knowledge management, ACM, pp 41–48
Biswas S, Akhter T, Kaiser M, Mamun S, et al (2014) Cloud based healthcare application architecture and electronic medical record mining: an integrated approach to improve healthcare system. In: 2014 17th international conference on computer and information technology (ICCIT), IEEE, pp 286–291
Bleda AL, Maestre R, Santa G, Pellicer S, Jara AJ, Skarmeta AG (2013) Evolution towards better aal environments. In: 2013 seventh international conference on innovative mobile and internet services in ubiquitous computing, IEEE, pp 518–523
Borriello G, LaMarca A, Chalmers M, Nixon P (2005) Delivering real-world ubiquitous location systems. Commun ACM 48(3):36–41
Brereton P, Kitchenham BA, Budgen D, Turner M, Khalil M (2007) Lessons from applying the systematic literature review process within the software engineering domain. J Syst Softw 80(4):571–583
Bundele MM, Banerjee R (2009) Detection of fatigue of vehicular driver using skin conductance and oximetry pulse: a neural network approach. In: Proceedings of the 11th international conference on information integration and web-based applications & services, ACM, pp 739–744
Byrne R, Eslambolchilar P, Crossan A (2010) Health monitoring using gait phase effects. In: Proceedings of the 3rd international conference on pervasive technologies related to assistive environments, ACM, p 19
Caldeira JM, Rodrigues JJ, Lorenz P (2012) Toward ubiquitous mobility solutions for body sensor networks on healthcare. IEEE Commun Mag 50(5):108–115
Cao Y, Hou P, Brown D, Wang J, Chen S (2015) Distributed analytics and edge intelligence: Pervasive health monitoring at the era of FOG computing. In: Proceedings of the 2015 workshop on mobile big data, ACM, pp 43–48
Celentano U, Röning J (2015) Framework for dependable and pervasive ehealth services. In: 2015 IEEE 2nd world forum on internet of things (WF-IoT), IEEE, pp 634–639
Chan V, Ray P, Parameswaran N (2008) Mobile e-health monitoring: an agent-based approach. IET Commun 2(2):223–230
Chandra H, Oakley I, Silva H (2012) Designing to support prescribed home exercises: understanding the needs of physiotherapy patients. In: Proceedings of the 7th nordic conference on human-computer interaction: making sense through design, ACM, pp 607–616
Chen H, Black JP, Khan OZ, Jamshaid K (2008) Data-centric support of a smart walker in a ubiquitous-computing environment. In: Proceedings of the 2nd international workshop on systems and networking support for health care and assisted living environments, ACM, p 16
Chen M, Gonzalez S, Vasilakos A, Cao H, Leung VC (2011) Body area networks: a survey. Mob Netw Appl 16:171–193
Cheng Q, Shang J, Juen J, Han J, Schatz B (2016) Mining discriminative patterns to predict health status for cardiopulmonary patients. In: Proceedings of the 7th ACM international conference on bioinformatics, computational biology, and health informatics, ACM, pp 41–49
Dacso CC, Knightly E, Dacso M (2011) Technology-enabled chronic disease management in under-resourced environments. In: Proceedings of the 1st international conference on wireless technologies for humanitarian relief, ACM, pp 365–369
Daihua XY, Parmanto B, Dicianno BE, Pramana G (2014) Accessibility of imhere smartphone apps for self-care. In: 2014 IEEE international conference on healthcare informatics, IEEE, pp 367–367
Diallo O, Rodrigues JJ, Sene M, Niu J (2014) Real-time query processing optimization for cloud-based wireless body area networks. Inf Sci 284:84–94
Dickerson RF, Hoque E, Emi IA, Stankovic JA (2015) Empath2: a flexible web and cloud-based home health care monitoring system. In: Proceedings of the 8th ACM international conference on pervasive technologies related to assistive environments, ACM, p 62
Dolea C, Stormont L, Shaw D, Zurn P, Braichet J (2010) Increasing access to health workers in remote and rural areas through improved retention. In: First expert meeting to develop evidence based recommendations to increase access to health workers in remote and rural areas through improved retention. World Health Organization, p 69
Doukas C, Pliakas T, Maglogiannis I (2010) Mobile healthcare information management utilizing cloud computing and android OS. In: 2010 annual international conference of the IEEE engineering in medicine and biology, IEEE, pp 1037–1040
Enquist H, Tollmar K (2008) The memory stone: a personal ICT device in health care. In: Proceedings of the 5th nordic conference on human-computer interaction: building bridges, ACM, pp 103–112
Fengou MA, Mantas G, Lymberopoulos D, Komninos N, Fengos S, Lazarou N (2013) A new framework architecture for next generation e-health services. IEEE J Biomed Health Inform 17(1):9–18
Fernando J (2009) The elephant in the room: Health information system security and the user-level environment. In: 2009 international conference for internet technology and secured transactions (ICITST), IEEE, pp 1–7
Ferreira G, Augustin I, Librelotto GR, da Silva FL, Yamin AC (2009) Middleware for management of end-user programming of clinical activities in a pervasive environment. In: Proceedings of the 2009 workshop on middleware for ubiquitous and pervasive systems, ACM, pp 7–12
Friedewald M, Raabe O (2011) Ubiquitous computing: an overview of technology impacts. Telematics Inf 28(2):55–65
Fritz T, Huang EM, Murphy GC, Zimmermann T (2014) Persuasive technology in the real world: a study of long-term use of activity sensing devices for fitness. In: Proceedings of the SIGCHI conference on human factors in computing systems, ACM, pp 487–496
Ghose A, Bhaumik C, Das D, Agrawal AK (2012) Mobile healthcare infrastructure for home and small clinic. In: Proceedings of the 2nd ACM international workshop on Pervasive Wireless Healthcare, ACM, pp 15–20
Gonçalves B, Andreão RV, Guizzardi G, et al (2008) Ecg data provisioning for telehomecare monitoring. In: Proceedings of the 2008 ACM symposium on applied computing, ACM, pp 1374–1379
Griffiths E, Saponas TS, Brush A (2014) Health chair: implicitly sensing heart and respiratory rate. In: Proceedings of the 2014 ACM international joint conference on pervasive and ubiquitous computing, ACM, pp 661–671
Hamdi M, Abie H (2014) Game-based adaptive security in the internet of things for ehealth. In: 2014 IEEE international conference on communications (ICC), IEEE, pp 920–925
Han F, Chang Y, Fan P, Vasilakos AV (2009) Collaborative beamforming and dirty paper coding assisted transmission strategy for e-health wireless sensor networks. In: Proceedings of the 2009 international conference on wireless communications and mobile computing: connecting the world wirelessly, ACM, pp 1080–1084
Han S, Skinner G, Potdar V, Chang E, Wu C (2006) New framework for authentication and authorization for e-health service systems. In: 2006 IEEE international conference on industrial technology, IEEE, pp 2833–2838
Hänsel K, Alomainy A, Haddadi H (2016) Large scale mood and stress self-assessments on a smartwatch. In: Proceedings of the 2016 ACM international joint conference on pervasive and ubiquitous computing: adjunct, ACM, pp 1180–1184
He Y, Zhu W, Guan L (2011) Optimal resource allocation for pervasive health monitoring systems with body sensor networks. IEEE Transactions on Mobile Computing 10(11):1558–1575
Hei X, Lin S (2014) Multi-part file encryption for electronic health records cloud. In: Proceedings of the 4th ACM mobihoc workshop on pervasive wireless healthcare, ACM, pp 31–36
Hirano SH, Farrell RG, Danis CM, Kellogg WA (2013) Walkminder: encouraging an active lifestyle using mobile phone interruptions. In: CHI’13 extended abstracts on human factors in computing systems, ACM, pp 1431–1436
Islam SR, Kwak D, Kabir MH, Hossain M, Kwak KS (2015) The internet of things for health care: a comprehensive survey. IEEE Access 3:678–708
Issa T, Isaias P (2015) Sustainable design: HCI. Usability and environmental concerns. Springer, Berlin, pp 19–36
Kai E, Ahmed A, Inoue S, Taniguchi A, Nohara Y, Nakashima N, Kitsuregawa M (2014) Evolving health consultancy by predictive caravan health sensing in developing countries. In: Proceedings of the 2014 ACM international joint conference on pervasive and ubiquitous computing: adjunct publication, ACM, pp 1225–1232
Kaushik B, Brunette MJ, Fu X, Liu B (2014) Customizable, scalable and reliable community-based mobile health interventions. In: Proceedings of the 4th ACM mobihoc workshop on pervasive wireless healthcare, ACM, pp 43–48
Kawsar FA, Haque MM, Adibuzzaman M, Ahamed SI, Uddin M, Love R, Roe D, Dowla R, Ferdousy T, Selim R, et al (2012) e-esas: improving quality of life for breast cancer patients in developing countries. In: Proceedings of the 2nd ACM international workshop on pervasive wireless healthcare, ACM, pp 9–14
Kiki TE, Lawrence E (2006) Government as a mobile enterprise: real-time, ubiquitous government. In: Third international conference on information technology: new generations (ITNG’06), IEEE, pp 320–327
Kim B, Jung I, Lee I, Kim Y (2008) Dwlt compression method based on MSVQ for a real-time ECG monitoring system in WSNS. In: Proceedings of the international conference on mobile technology, applications, and systems, ACM, p 78
Kitchenham B, Brereton OP, Budgen D, Turner M, Bailey J, Linkman S (2009) Systematic literature reviews in software engineering—a systematic literature review. Inf Softw Technol 51(1):7–15
Kitchenham B, Pretorius R, Budgen D, Brereton OP, Turner M, Niazi M, Linkman S (2010) Systematic literature reviews in software engineering—a tertiary study. Inf Softw Technol 52(8):792–805
Kitchenham BA, Dyba T, Jorgensen M (2004) Evidence-based software engineering. In: Proceedings. 26th international conference on software engineering, IEEE, pp 273–281
Komnakos D, Vouyioukas D, Maglogiannis I, Constantinou P (2008) Feasibility study of a joint e-health mobile high-speed and wireless sensor system. In: Proceedings of the 1st international conference on pervasive technologies related to assistive environments, pp 1–7
Koufi V, Malamateniou F, Vassilacopoulos G (2010) An agent-based application of personal health record in homecare. In: Proceedings of the 3rd international conference on pervasive technologies related to assistive environments, ACM, p 12
Kumar S, Joshi P, Saquib Z (2015) Ubiquitous commerce: the new world of technologies. Int J Life Sci Eng 1(2):50–55
Laranjo I, Macedo J, Santos A (2012) Internet of things for medication control: service implementation and testing. Procedia Technol 5:777–786
Le XH, Lee S, Lee YK, Lee H, Khalid M, Sankar R (2010) Activity-oriented access control to ubiquitous hospital information and services. Inf Sci 180(16):2979–2990
Lee Jw, Reding V (2005) Foreword to connecting for health–global vision, local insight by Dzenowagis, J and Kernen, G. World Health Organisation Report for the World Summit on the Information Society, p 36
Lim JH, Zhan A, Goldschmidt E, Ko J, Chang M, Terzis A (2012) Healthos: a platform for pervasive health applications. In: Proceedings of the second ACM workshop on mobile systems, applications, and services for healthcare, ACM, p 4
Lin CC, Lee RG, Hsiao CC (2008) A pervasive health monitoring service system based on ubiquitous network technology. Int J Med Inf 77(7):461–469
Löhr H, Sadeghi AR, Winandy M (2010) Securing the e-health cloud. In: Proceedings of the 1st ACM international health informatics symposium, ACM, pp 220–229
Lopes JL, Souza RS, Geyer CR, Costa CA, Barbosa JV, Gusmão MZ, Yamin AC (2012) A model for context awareness in ubicomp. In: Proceedings of the 18th Brazilian symposium on multimedia and the web, ACM, pp 161–168
Mazurek C, Stroinski M (2010) Innovative ict platform for emerging ehealth services: towards overcoming technical and social barriers and solving grand challenges in medicine. In: 2010 second international conference on eHealth, telemedicine, and social medicine, IEEE, pp 33–38
Meyer J, Heuten W, Boll S (2016) No effects but useful? long term use of smart health devices. In: Proceedings of the 2016 ACM international joint conference on pervasive and ubiquitous computing: adjunct, ACM, pp 516–521
de Moraes JLC, de Souza WL, Pires LF, do Prado AF, (2016) A methodology based on openehr archetypes and software agents for developing e-health applications reusing legacy systems. Comput Methods Progr Biomed 134:267–287
Nair S (2016) Qs x nui: towards natural user interfaces for personal health information. In: Proceedings of the 2016 ACM international joint conference on pervasive and ubiquitous computing: adjunct, ACM, pp 528–534
Nazário DC, de Andrade A, Borges L, Ramos WR, Todesco JL, Dantas MAR (2015) An enhanced quality of context evaluating approach in the e-health sensor platform. In: Proceedings of the 11th ACM symposium on QoS and security for wireless and mobile networks, pp 1–7
Nixon LJ, Cerizza D, Della Valle E, Simperl E, Krummenacher R (2007) Enabling collaborative ehealth through triplespace computing. In: 16th IEEE international workshops on enabling technologies: infrastructure for collaborative enterprises (WETICE 2007), IEEE, pp 80–85
Oladimeji EA, Chung L, Jung HT, Kim J (2011) Managing security and privacy in ubiquitous ehealth information interchange. In: Proceedings of the 5th international conference on ubiquitous information management and communication, ACM, p 26
Olugbara O, Adigun M, Ojo S, Mudali P (2007) Utility grid computing and body area network as enabler for ubiquitous rural e-healthcare service provisioning. In: 2007 9th international conference on e-health networking. Application and services, IEEE, pp 202–207
Oueslati W, Hamdi H, Akaichi J (2015) A mobile hospital trajectory data warehouse modeling and querying to detect the breast cancer disease. In: Proceedings of the international conference on intelligent information processing, security and advanced communication, ACM, p 93
Pagliari C, Sloan D, Gregor P, Sullivan F, Detmer D, Kahan JP, Oortwijn W, MacGillivray S (2005) What is ehealth (4): a scoping exercise to map the field. J Med Internet Res 7(1):e9
Panagiotou C, Panagiotakopoulos T, Kameas A (2015) A multi: modal decision making system for an ambient assisted living environment. In: Proceedings of the 8th ACM international conference on pervasive technologies related to assistive environments, ACM, p 44
Pantelopoulos A, Bourbakis N (2010) A wearable platform utilizing off-the-shelf components and performing quality analysis of physiological data. In: Proceedings of the fifth international conference on body area networks, ACM, pp 220–226
Pereira JD, da Silva e Silva FJ, Coutinho LR, de Tácio Pereira Gomes B, Endler M (2016) A movement activity recognition pervasive system for patient monitoring in ambient assisted living. In: Proceedings of the 31st annual ACM symposium on applied computing, ACM, pp 155–161
Petersen K, Feldt R, Mujtaba S, Mattsson M (2008) Systematic mapping studies in software engineering. Ease 8:68–77
Phuong ND, Chau VTN, Bao HT (2016) A hybrid semi-supervised learning approach to identifying protected health information in electronic medical records. In: Proceedings of the 10th international conference on ubiquitous information management and communication, ACM, p 82
Poulymenopoulou M, Malamateniou F, Vassilacopoulos G (2011) E-EPR: a cloud-based architecture of an electronic emergency patient record. In: Proceedings of the 4th international conference on pervasive technologies related to assistive environments, ACM, p 35
Preuveneers D, Berbers Y (2008) Mobile phones assisting with health self-care: a diabetes case study. In: Proceedings of the 10th international conference on human computer interaction with mobile devices and services, ACM, pp 177–186
Puustjärvi J, Puustjärvi L (2015) The role of smart data in smart home: health monitoring case. Procedia Comput Sci 69:143–151
Rabbi M, Aung MH, Zhang M, Choudhury T (2015) Mybehavior: automatic personalized health feedback from user behaviors and preferences using smartphones. In: Proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous computing, ACM, pp 707–718
Rahman MA, Gueaieb W, El Saddik A (2010) Ubiquitous social network stack for e-health applications. In: 2010 IEEE international workshop on medical measurements and applications, IEEE, pp 57–62
Rahmani AM, Thanigaivelan NK, Gia TN, Granados J, Negash B, Liljeberg P, Tenhunen H (2015) Smart e-health gateway: bringing intelligence to internet-of-things based ubiquitous healthcare systems. In: 2015 12th annual IEEE consumer communications and networking conference (CCNC), IEEE, pp 826–834
Ramalho F, Neto A, Santos K, Agoulmine N, et al (2015) A holistic approach to enable perceptive, instrumental and ubiquitous smart ehealth. In: 2015 Latin American network operations and management symposium (LANOMS), IEEE, pp 56–61
Randriambelonoro M, Chen Y, Geissbuhler A, Pu P (2015) Exploring physical activity monitoring devices for diabetic and obese patients. In: Adjunct Proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous computing and Proceedings of the 2015 ACM international symposium on wearable computers, ACM, pp 1003–1008
Robben S, Pol M, Kröse B (2014) Longitudinal ambient sensor monitoring for functional health assessments: a case study. In: Proceedings of the 2014 ACM international joint conference on pervasive and ubiquitous computing: adjunct publication, ACM, pp 1209–1216
Saleemi M, Anjum M, Rehman M (2017) eservices classification, trends, and analysis: a systematic mapping study. IEEE Access 5:26 (104–26,123)
Salim F, Haque U (2015) Urban computing in the wild: a survey on large scale participation and citizen engagement with ubiquitous computing, cyber physical systems, and internet of things. Int J Hum Comput Stud 81:31–48
Sen J, Santos R, Arthur M (2012) Ubiquitous computing: applications, challenges and future trends. Embed Syst Wirel Technol Theory Pract Appl. CRC Press, New York, pp 1–40
Shimosaka M, Masuda S, Takeichi K, Fukui R, Sato T (2012) Health score prediction using low-invasive sensors. In: UbiComp, pp 1044–1048
Sideris C, Shahbazi B, Pourhomayoun M, Alshurafa N, Sarrafzadeh M (2014) Using electronic health records to predict severity of condition for congestive heart failure patients. In: Proceedings of the 2014 ACM international joint conference on pervasive and ubiquitous computing: adjunct publication, ACM, pp 1187–1192
Singh J, Wünsche BC, Lutteroth C (2010) Framework for healthcare4life: a ubiquitous patient-centric telehealth system. In: Proceedings of the 11th international conference of the NZ chapter of the ACM special interest group on human-computer interaction, ACM, pp 41–48
Sohankar J, Sadeghi K, Banerjee A, Gupta SK (2015) E-bias: A pervasive eeg-based identification and authentication system. In: Proceedings of the 11th ACM symposium on QoS and security for wireless and mobile networks, ACM, pp 165–172
Sohn M, Lee J (2007) Up health: ubiquitously persuasive health promotion with an instant messaging system. In: CHI’07 extended abstracts on human factors in computing systems, ACM, pp 2663–2668
Song YT, Qiu T (2016) Standard based personal mobile health record system. In: Proceedings of the 10th international conference on ubiquitous information management and communication, ACM, p 12
Steinhubl SR, Muse ED, Topol EJ (2013) Can mobile health technologies transform health care? JAMA 310(22):2395–2396
Su CJ, Wu CY (2011) Jade implemented mobile multi-agent based, distributed information platform for pervasive health care monitoring. Appl Soft Comput 11(1):315–325
Sun H, De Florio V, Gui N, Blondia C (2009) Promises and challenges of ambient assisted living systems. In: 2009 sixth international conference on information technology: new generations, IEEE, pp 1201–1207
Toninelli A, Montanari R, Corradi A (2009) Enabling secure service discovery in mobile healthcare enterprise networks. IEEE Wirel Commun 16(3):24–32
Venkatesh V, Davis FD (2000) A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag Sci 46(2):186–204
Verma A, Dhand H, Shaha A (2008) Healthcare kiosk next generation accessible healthcare solution. HealthCom 2008—10th international conference on e-health networking. Applications and services, IEEE, pp 194–199
Weiser M (2002) The computer for the 21st century. IEEE Pervasive Comput 1(1):19–25
Wieringa R, Maiden N, Mead N, Rolland C (2006) Requirements engineering paper classification and evaluation criteria: a proposal and a discussion. Requir Eng 11(1):102–107
Xu J, Ding X, Huang K, Chen G (2014a) A pilot study of an inspection framework for automated usability guideline reviews of mobile health applications. In: Proceedings of the wireless health 2014 on National Institutes of Health, ACM, pp 1–8
Xu Q, Ibrahim G, Zheng R, Archer N (2014b) Toward automated categorization of mobile health and fitness applications. In: Proceedings of the 4th ACM MobiHoc workshop on pervasive wireless healthcare, ACM, pp 49–54
Yahya S, Ahmad E, Jalil KA (2010) The definition and characteristics of ubiquitous learning: a discussion. Int J Educ Dev Using Inf Commun Technol 6(1):1–11
Yang Z, Pathak PH, Zeng Y, Liran X, Mohapatra P (2016) Monitoring vital signs using millimeter wave. In: Proceedings of the 17th ACM international symposium on mobile ad hoc networking and computing, pp 211–220
Yin RK (1998) The abridged version of case study research: design and method, pp 8–66
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix
Appendix
See Table 15.
Rights and permissions
About this article
Cite this article
Saleemi, M., Anjum, M. & Rehman, M. Ubiquitous healthcare: a systematic mapping study. J Ambient Intell Human Comput 14, 5021–5046 (2023). https://doi.org/10.1007/s12652-020-02513-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12652-020-02513-x