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Creating Apps for On-Demand Healthcare Services. We build platforms that help users avail the services of medical experts with ease and efficiency.
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Index Introduction Factors responsible for on-demand services Zymr HealthCare Solutions Zymr Case Studies Contact Us
Introduction As convenience and comfort have become buzzwords among healthcare marketers, the adoption of “on-demand service” model has become a necessity. On-demand healthcare is triggered through the advent of: - Telemedicine - Healthcare Consumerization - Health Accountability by Patients - Technology Advances in Healthcare On-demand clinical apps have become a popular subject matter for the healthcare professionals and even for non-specialists with hospital management apps (staff-centric) and chronic care management apps (patients centric) topping the list.
Factors responsible for on-demand services On-demand Services can Save Time. A doorstep delivery is preferable compared to a visit to the physical store. Millennials want everything to go on the digital platform and online pharmacies have made it possible. Refilling medicine is a reiterative process, hence on-demand medical app is likely to be a promising approach.
Factors responsible for on-demand services The ordering process has become more accessible, simplified, and hassle-free. Smartphone usage is surging up, so are the demand for mHealth solutions. Healthcare companies are introducing clinical apps, which help in tracking personal health, sending dosage reminders, facilitating e-consultations, and in scheduling appointments, etc.
Factors responsible for on-demand services We often try to make more informed decisions while buying pharmaceutical drugs, and online platform can aid to it. Online medical stores keep their buyers well informed in terms of ingredients, side effects, symptoms, indications, precautions, dosage, and reviews, rather than selling anything carelessly. To make it more appealing, the mobile app developers need to focus on regulations, compliances (HIPAA), navigation path, UI-UX, data confidentiality, payment mechanisms, features like scheduling, tracking, etc.
Factors responsible for on-demand services Quicker Accessibility and Cost Effectiveness Through an extensive network of mobile and web, users accessibility is facilitated in purchase transactions from e-pharmacies. As consumers buy directly from the company, it removes the unnecessary layers of mediators in between, thereby making it a cost-effective affair. On-demand medical apps not only provide ease in operations but assure superior user experience too.
Factors responsible for on-demand services Easier Tracking and Record Management Healthcare mobile apps facilitate tracking, access to EHR and EMR, secure payments, real-time notifications, analytics, reviews, etc. Online pharmacies keep records of every purchase, with which one can track the dosage. Some of the well known online pharmacies are Pharmacy2U, 1MG, PillPack, and Insightful.
Factors responsible for on-demand services Easier Tracking and Record Management Healthcare companies are realizing the potential of e-pharma and the industry is all set to revolutionize the customer experience and service delivery. Integration of different technologies as well as focus on software frameworks, its scope has increased manifold.
Zymr Healthcare Solutions Patient Apps Patients can easily interact with doctors and care teams (telemed). Ease in accessing medical records, fixing appointments, health reports. Track medicine intake and behavioral health.
Zymr Healthcare Solutions Clinical Apps Quick access to patients’ records and health reports. Nurse and physicians can contact patients (telemed). Clinical tracking to medicine intake and behavioral health. DNA based disease management.
Zymr Healthcare Solutions EHR Integration Health care service orchestration. Epic, MEDITECH, CoCENTRIX, Practice fusion and others. FHIR clinical resource integration. FHIR billing resource integration. Patient onboarding on EHR systems. Legacy EMR Integration.
Zymr Healthcare Solutions Health Analytics Big data analysis of healthcare data. Scheded patient reports. Medical error reports. Security of EHR. Reporting service separated by HDO. Compliance reports. Cost-benefit reports.
Zymr Healthcare Solutions Healthcare IoT Patient IoT-based monitoring systems. Hospital IoT-based environmental apps. Clinical IoT-based care automation tools. Patient IoT-based fall detection apps. Patient IoT-based medicine tracking. Hospital IoT-based equipment tracking. Hospital IoT-based lab maintenance.
Case Study - Healthcare Robotic Device Zymr has intensively worked on creating a Healthcare Robotic Device i.e., Personal Home Health Robot. We have been chosen as a development partner because of our expertise in architecting and designing cloud-based applications. We have, Healthcare Robotic Device Developed Jenkins and Git flow-based CI process with nightly builds, automated unit-testing, system testing, code-reviews and regression testing. Provided architecture design for secure communication between device & cloud hosted application, and storing a huge amount of collection in NoSQL database. Created futuristic, loosely coupled, maintainable, secure, performance-driven, test-driven, reusable architecture design.
Case Study - Healthcare Robotic Device Secured the backend processes by complying with HIPAA requirements, which infused security in the communication between devices and the server. Developed components of the service orchestration in Asp.NET, Angular 4.0, Cosmos DB, Bootstrap and Jquery. Healthcare Robotic Device Created a comprehensive test plan. QE team has performed end-to-end system testing with the device and a simulated device before real-world integration. DevOps team helped ensure a Microsoft Azure-based cloud deployment. Delivered a highly responsive and scalable cloud app using the modern cloud stack.
Case Study - Patient Management System Zymr has partnered with a renowned company which is into patient management system i.e., targeting the mental health of patients. We have, Have created a Chatbot. By Using AIML based chatbot, We have made a flow of communication with mental patients, which is converted on AIML and synced with node server. Patient Management System Made tracking easier. To Track and sync patient activities viz. mood, sleep, thought, steps count, medication and goals. Node has quality API’s available to track these activities. CRUD operations of all these activities were synced with Web and iOS clients. Clinicians can see high level summary and patients can follow the schedule.
Case Study - Patient Management System Created an assessment form. Clinicians can share a question-answer list with their patients to understand their current mental state. Made the features dynamic by using typeform.io Api, which can connect with backend. Patient Management System Provided HIPAA compliant services. We have encrypted the data into our systems by logging into 2FA. Made device tracking easier. Patients’ data related to location and weather is captured at backend. Built a well-defined mental health care system, which can be used by various clinicians and hospitals.
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