Chetu – Custom Software Development CompanySearch blackphone blackcross black


Pixels To Better Health: Innovating Care Through Mobile

Medical Mobile App Development Solutions for the Healthcare Industry

We offer custom, mobile healthcare apps and software development with cross-functional solutions to enable healthcare organizations to provide exceptional point-of-care communication. Our AutoML mobile health care solutions simplify medical services and improve intellectual data that is of great value to the healthcare provider.

mHealth App Development Solutions

We develop custom mHealth apps including provider-based portals, wearable technology, real-time monitoring sensors, embedded applications, telehealth/telemedicine, integration interfaces, patient engagement systems, and on-demand virtual doctor apps with HIPAA-compliant video-streaming. In addition, we design tele-epidemiology apps for training health professionals and sharing public health information.

mHealth Platform Development

We deliver solutions such as interoperable and self-provisioning device integration software to mobile health platforms for medical devices such as ECG, Scales, SpO2, and Blood Pressure / Pulse Monitors. We program software with store-and-forward capabilities that can update biometric data from monitoring systems (Nightingale) in real-time to any mHealth platform (Bionet, Iguana, etc.).

Integration with
mHealth Apps

Our team engineers native, web, and hybrid mobile healthcare apps for Android, iOS, and Windows Mobile platforms, plus we utilize cross-platform development tools such as Xamarin, Apache Cordova, and React Native among others. We integrate wearable healthcare technology hardware with mobile devices and provide the software architecture for real-time monitoring plus historical data dashboards.

mHealth Technology

Our healthcare app developers build HIPAA compliant SMS messaging and alerts applications with built-in, one-way and two-way SMS via SMSC gateways. We program secure data sharing P2P or group conferencing mobile health apps with record / stream abilities, screen share, and file transfer mechanics.

Health Information
Exchange Applications

We develop innovative meditech mhealth app and software for the secure Health Information Exchange (HIE) of data and imagery (DICOM / PACS) for clinical decision support. We also program electronic health information exchange medical app to view and securely share medical information.

Medical Video
Conferencing Integration

Our cross-platform medical video conferencing software development is compatible with devices, browsers, and third-party software. We build interactive medical video conferencing software supportive of Multi-Patient Consoles (MPC) using secure messaging, Single Sign On (SSO), one-click video calling, call presence connectivity detection, and Interactive Voice Response (IVR) technology.

Medical Video
Conferencing Software Services

We engineer cloud-based medical video conferencing software solutions with secure file transfer through data channeling and end-to-end encryption components. We build medical video conferencing platforms with screen sharing, Point-to-Point (P2P) communication constructs, and custom development / integration of audio and video streaming software (OpenTok, WebRTC). We code low bandwidth HD video and LTE mobility medical video conferencing software that connects to Multipoint Control Units (MCUs) or endpoints with automatic rate and resolution matching.

mHealth Virtual Office
Software Solutions

We develop virtual office platforms with virtual visitation through HIPAA compliant P2P video streaming and virtual waiting rooms with call routing / triage capabilities. Development of virtual office software with integrations to interoperable EHRs for data and DICOM/PACS. We build virtual medical office platforms with mhealth solutions such as e-prescription solutions that can integrate with Surescript, Lexicomp, FirstDataBank, RxNorm, and NDC with full visibility of patient reordering, tracking, and expiration of prescriptions.

Practice Management Solutions

To empower your patients, we engineer patient web portals with practice management components like patient insurance validation software (Availity, Emdeon, ezVerify, RelayClearance, etc.) and lab request / result applications (Quest and LabCorp). Development of software for scheduling and appointment setting including real-time meet now capabilities and applications with session / subscription based solutions to facilitate outcome based reimbursement.

mHealth App Development

Our expert AI medical app developers create mobile health applications using AI technology. Our custom-tailored AI mobile health software solutions leverage capabilities such as natural language processing and data analytics. With AI digital health apps our experts enable healthcare providers to enhance care, patient engagement, and patient outcomes with features such as an mHealth patient portal using AI. Our software experts are prepared to help you build an innovative health app with AI.

AI-Powered Solutions Advancing Medical Mobile App Development

Chetu mobilizes AI technologies in the development of innovative AI medical mobile apps to improve patient care, streamline healthcare processes, and enhance medical directives.

Machine Learning Algorithms

We program machine learning (ML) algorithms to enable medical applications to analyze large amounts of patient data, diagnose conditions, and predict outcomes. ML algorithms power mobile health diagnostics by identifying patterns, anomalies, and trends in medical data, leading to more accurate diagnoses and personalized treatment recommendations. Thanks to this implementation of artificial intelligence, mobile health intervention design using AI now functions to serve patients by executing healthcare interventions via mobile applications.

Natural Language Processing (NLP)

Our experts implement NLP in medical mobile health app development to facilitate the comprehension and interpretation of human language, making it easier for patients to interact with AI-powered mHealth apps. NLP can convert spoken or written language into structured data, aiding in medical documentation and providing virtual assistants for healthcare-related inquiries. Mobile health voice assistants employ NLP to interact with patients and can be integrated with wearables to provide users with voice-based updates on their smartwatches.

Image Recognition and Analysis

We deploy AI-powered image recognition technologies to interpret medical images, including X-rays, MRIs, and CT scans. This technology supports AI-driven disease management capabilities because it can help detect diseases, assess the severity of conditions, and assist radiologists in their diagnoses, greatly improving the accuracy and speed of medical imaging analysis. This technology has prompted the development of several AI-powered mHealth apps, including AI in mobile radiology apps, AI-powered mobile pathology apps, AI-powered ECG apps, and more.

Predictive Analytics

We integrate ML algorithms and statistical models to forecast patient outcomes and determine potential health risks based on historical patient data. This advanced technology can assist healthcare providers in proactively addressing health issues and planning preventive interventions, markedly improving patient care and reducing recurrent hospitalizations. For example, AI-driven mobile dermatology apps utilize predictive analytics to assess deadly melanoma and other skin cancer risks in patients and assist physicians in providing preventative treatment plans.

Virtual Health Assistants

Our dedicated AI specialists develop AI-powered virtual health assistants to provide patients with real-time health information, medication reminders, appointment scheduling, and basic medical recommendations. Virtual health assistants enhance patient engagement and support, minimizing the burden on healthcare professionals for routine queries. Mobile health voice assistants are integrated into mHealth apps and use NLP to understand and interact with patients. These AI-powered virtual assistants can perform various tasks and create a more user-friendly and interactive experience within mHealth apps.

Personalized Treatment Plans

Our software engineers mobilize AI in health behavior change apps to facilitate and support positive patient health-related behavior changes. We program a subset of AI technology known as personalized medicine, or personalization, which incorporates various AI techniques to analyze a patient’s unique characteristics to create tailored treatment plans. Techniques such as machine learning, data mining, and pattern recognition are deployed. These techniques work collaboratively to analyze patients' medical history, genetics, and current health status to suggest personalized medications, therapies, and lifestyle adjustments for improved patient outcomes.

Mobile Health Application Support Services

Chetu’s mobile health solutions revolutionize healthcare, enhancing clinician productivity while fortifying data security and optimizing user engagement. We offer 24/7 support to enable uninterrupted care and patient satisfaction.

Comprehensive mHealth Support Services

We take pride in our custom and comprehensive mHealth solutions. The dynamic nature of the industry informs our experts on what challenges need to be addressed, whether that’d be remote patient interaction, health data management, or digital therapeutics. We leverage the power of AI and cutting-edge tools to optimize the performance of your app, troubleshoot technical glitches, and deliver a seamless user experience.

Enhancing Clinician Productivity

With Chetu’s mobile health solutions being expertly crafted with features that will streamline processes – Automated Documentation, Clinical Decision Support Systems (CDSS), and Remote Patient Monitoring – we’ll open the door for more inclusive and consistent care across the board without feeling overwhelmed. Additionally, we’ll provide our solutions with an easy-to-understand UI for quick and intuitive application.

Upgrading mHealth Data Security

Security is fundamental for a functioning mobile health application. Our AI experts will not only adhere to rigid security measures but also ensure that compliance with industry regulations and standards are being met. We leverage in-depth authentication mechanisms, robust encryption protocols, and assure that data integrity is sound and storage is tight.

Extended Support & Maintenance

Our extended support and application maintenance services ensure high reliability and optimal performance for mobile health applications. We continuously monitor mHealth applications to identify potential issues and proactively address them before they impact operations. With the latest features and security enhancements, we ensure system optimization.

Informed Decision-Making with Health Data Analytics

At Chetu, we’ll provide you the tools and features to properly and securely gather and analyze patient data. Whether it’s as simple as trend analysis or complex as predictive modeling, our AI-powered analytics solutions are capable of transforming the potential of data. Unlock eye-opening discoveries from the wealth of information you have at your fingertips with our mobile health apps.

Seamless User Experiences with 24/7 App Support

An uninterrupted user experience is do-or-die for mHealth apps. That’s why we’re dedicated to delivering the support you need to make sure your services are always available, 24/7.We offer 24/7 responsive help desk support, powered by our advanced ticketing system. We’ll make sure that you’re receiving quick assistance whenever you need it – regardless whether that’s for technical issues or other significant concerns.

Exploring Mobile Health (mHealth): Frequently Asked Questions

Mobile health technologies are used in various categories, such as remote patient monitoring, medical imaging, clinical decision-making, and point-of-care diagnostics, to improve patient and service provider outcomes. The pharmaceutical industry also benefits from mHealth applications.

To build an AI image recognition application or platform for the healthcare industry, you need to go through several steps, such as defining project goals, data exploration, API prediction systems, model monitoring data, and more. After that, an expert data engineer can develop an AI image recognition platform with data fusion and ML algorithms.

After defining the app’s purpose, target audience and selecting the platform (iOS, Android, or both) you can seek the help of experienced developers to help you create an eHealth mobile app. They will create a design that delivers the desired user experience (UI), execute the development process, incorporate features (tracking, push notifications, in-app purchases), test and collect feedback, launch app and promote it, and also maintain and update the app accordingly (don’t forget to consider privacy and data protection).

Remember to consult with healthcare professionals and legal experts during the development process to ensure compliance with regulations and best practices.

Chetu provides end-to-end technical support, encompassing software updates, bug fixes, user assistance, and more. Our dedicated team ensures optimal performance, seamless integration, and swift issue resolution for mHealth applications and devices.

Deep Learning-based m-Health applications are high-quality apps based on AI Deep Learning algorithms combined with IoT developed by experts. Researchers use these healthcare apps to understand and treat mental health conditions and address issues in brain biomarkers and bioinformatics.

NLP (natural language processing) tools help retrieve and synthesize unstructured digital valuable medical, data not in a standard format, from the EHR.

Some of the core functions of mHealth apps are:

Chetu prioritizes patient data security through robust encryption, strict access controls, and compliance with healthcare regulations, safeguarding confidentiality and privacy throughout Digital Health Support Services.



Chetu's mobile health software development experts ensure your software complies with regulatory standards including specifications set by the U.S. Department of Health and Human Services (HHS), Office of the National Coordinator – Authorized Testing and Certification Body (ONC-ATCB), HITECH's Meaningful Use Stage 1 and 2 (MU-1 & MU-2), Health Insurance Portability and Accountability Act (HIPAA), and Health Level 7 International (HL7).


Drop us a line or give us ring about mhealth app software development and mhealth patient portal. We’d love to hear from you and are happy to answer any questions.

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