Joint arthroplasty is one of the most common procedures performed in the United States. It is estimated that the number of total hip arthroplasties (THA) will increase by 174% and that of total knee arthroplasties (TKA) will increase by 673% per year in the Unite States by 2030 [1]. Despite the increasing frequency of these procedures, continuing follow-up assessments are essential. Routine follow-up is essential to detect asymptomatic patients suffering from important issues (e.g., ‘silent’ osteolysis) and treat them accordingly to avoid deterioration of the clinical condition [234].

Many studies [56789] have investigated the frequency of follow-up assessments and the importance of supporting patients after THA or TKA. The minimum requirements suggested by the British Orthopaedic Association are radiologic assessments every 5 years for TKA, and at 12 months, 7 years postoperatively and every 3 years thereafter for THA [1011].

In this paper, we adapt the mobile-based healthcare system proposed by Bitsaki et al. [12] for offering services to arthroplasty patients who are subject to surgical procedures and need follow-up support. The proposed system uses a combination of cloud- and service-oriented computing, online services, data analysis, and mhealth applications to connect patients to their physicians. The system is able to monitor patients and promptly recognize impeding complications, resulting in the reduction of cost and time spent by doctors, patients, and patient escorts.

A number of studies have evaluated the use of telemedicine for the follow-up of arthroplasty patients. Wood et al. [13] conducted a randomized trial on arthroplasty patients comparing an electronic clinic with standard clinic visits. The reported travel costs were $20 for an outpatient clinic and $18 for an electronic clinic.

Marsh et al. [14] showed statistically significant differences between web-based and in-clinic follow-up assessment groups in the mean travel costs (Can$10.45 vs. Can$21.36). Sharareh and Schwarzkopf [9] used Skype calls for the follow-up of total joint arthroplasty patients and found a statistical significant reduction in unplanned clinic visits (14 vs. 3) and calls (40 vs. 6).

Jeong and Kim [15] developed a web-based computer-tailored education program for the promotion of self-care for THA patients. The validity of the developed program's content and design was confirmed through an expert evaluation.

Various studies have provided evidence for the usefulness of mobile applications in orthopedics. A systematic review of the literature [16] described all validated accelerometer-, magnetometer-, and photographic-based smartphone applications used as goniometers for peripheral joints and the spine. Researchers in Australia [17] more accurately measured the rotational deformity of a correction osteotomy using an application for iPhone. Peters et al. [18] used an iPhone for acetabular cup placement in THA. Hawi et al. [19] accurately estimated the femoral anteversion on cadaveric femora using the gyroscope of an iPhone. Roberts et al. [20] used a reminder letter, a reminder SMS (short message service), and access to a tablet computer in clinic.

The most interesting feature of our approach that has not been considered in other studies is its ability to support data processing by means of cloud computing technologies to help physicians dynamically adjust treatments and share patient information in a cost-effective way.

We propose a mHealth system that provides health services to both patients and physicians as described below. The patients will give the written consent, download the application, and register during the first follow-up visit.

The follow-up and the interactions of the patients, the doctors, and the system are described by the following algorithm of action:

Our approach will spur innovation across a number of industries. Mobile applications for health services will get a boost from their ability to connect to data that can be managed and analyzed by specialized services running on the proposed platform. In addition, our approach will encourage innovation in the fields of data analytics, risk models, etc. to be applied across a broad spectrum of interventions. We anticipate that our approach will accelerate societal and possibly economic change in several areas. First and foremost, patients will feel strongly empowered to self-manage their disease in cooperation with their healthcare providers. Our approach to personalized care will increase the level of education of patients and caregivers regarding ICT solutions and will strengthen the knowledge about patients' behavior related to the prevention of complications. We also expect that in the long-term overall health costs and insurance premiums will fall, improving the management of follow-up controls by reducing the number of severe episodes, hospital emergency visits, and complications.

In addition, the scientific community will be able to use the data collected through our platform for research purposes. The electronic platform could also be used after modifications for the collection of data in national arthroplasty registries.

The results of the present study depend on the fact that the follow-up intervals for arthroplasty patients show great variation internationally. Another restriction is that the readmission rate cannot be estimated accurately. Lack of data urged us to make the assumption that in North Rhine-Westphalia the current rate of patients who undergo total hip and knee arthroplasty is the same as that in all of Germany. Finally, the generalization of the results may not be appropriate in different countries with great differences in their insurance systems.