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Case Study of Remote Patient Monitoring Applications

Remote Patient Monitoring (RPM) is a kind of healthcare system that helps patients and doctors who use mobile devices to track vitals analyze data in real-time.RPM used as monitoring devices such as blood pressure trackers, heart rates trackers for patients getting care in the hospital or clinics. The data (recorded/live) is sent to doctors by using the cloud-connected system with the help of an application on the doctor’s phone.
Remote patient monitoring systems are designed to obtain a number of physiological data from patients. Most common data are Electrocardiogram (ECG), Electroencephalogram (EEG), heart beats and respiration rate, oxygen volume in blood or pulse oximetry, signals from the nervous system, blood pressure, body/skin temperature and blood glucose level. In addition to these, sometimes, weight of the patient, level of activity of the patient and sleep data is collected. A number of researches have been done for wound management and sleep monitoring applications.

Features of Remote Patient Monitoring

  • Hospital dashboard
  • Analytical, Reporting & Charting
  • Performance dashboard
  • Patient Portal for Accessing
  • Readmission rates dashboard
  • Multi-platform Support
  • Compatible For Wearables Integration
  • Real-time Video & Audio Interaction Functionality

Chania

Key Benefits of Remote Patient Monitoring System

Saves Money

Save money with this technology as this reduces official physician visits to the parients. This way, physicians are more efficient during their consultation hours without having to physically visit the patients every few hours. You can meet them rhjough the RPM.

Makes Healthcare Accessible

Remote monitoring enables patients to get consultation without having to visit a medical practitioner. The technology ensures timely communication, quick counseling, and time to make preventive measured if deemed necessary.

Makes Healthcare Efficient

We placed a Categorization System on the website for the Doctors to categorize their patients according to the severity of their conditions. Artificial Intelligence-powered remote patient monitoring technologies automate process redundancies.

Makes Healthcare Consumer-Centric

Incorporating cloud-connected monitoring systems in the recovery can significantly improve the patient experience. Patients recovering under remote monitoring systems report patient satisfaction and increased gratitude towards the hospital.

Follow-up Notifications

Every patient called for a different follow-up schedule, which made it impossible for the doctors to set a common schedule. We gave them a platform to feed in case wise follow-up instructions which were then sent to the patients.

Saving Patients’ Medical Record Filing Time

 To save your precisious time,We added the option for the patients to scan their medical data on the app. That helps patients to fill the medical information onlinewhich so far better than manually on the app.

Case Study of Remote Patient Monitoring Applications

Project Highlights
  • Refined workflows for doctor-nurse interactions, trends, and testing schedules
  • Integrated BizTalk orchestrations
  • Added functionality to support in-home data collection including a Bluetooth modem, glucose meter, pulse oximeter, blood pressure cuff, and scale
  • Added functionality to support a custom handheld application for caregivers in a medical facility to enter medical data for their patients
(I) What We Did:
  • Automated Testing
  • Web Development
  • Regulated Environment
(II) Tech Stack:
  • C# / Microsoft BizTalk
  • VB.NET / .NET Compact Framework
  • SQL Server
(III) Opportunity:
A medical device manufacturer needed to add features to its existing healthcare data system in order to support remote patient monitoring for long-term care. The new features needed to allow hand entry of blood glucose readings for home healthcare and elder care facilities.
Challenges of RPM
However, RPM is challenging because you remove the support of medical staff to ensure proper usage. A situation where it is the patient’s responsibility to adhere to any component of a treatment plan introduces challenges with patient compliance.
(I) Achieving Comfort and Usability:
Wearability is not only the most subjective issue, but perhaps the biggest issue to RPM device adoption, especially in longer term or continuous applications. Simply put, if the patient doesn’t wear it, it won’t work. Wearability has to do with comfort and convenience.  A comfortable device that is difficult to operate will not succeed. Conversely, a simple device that is uncomfortable to wear will fail.
(II) Form Factor and Sensor Upgrades to Improve Data Accuracy:
Data accuracy is the next important factor in RPM devices. The devices field is crowded with consumer style wearables, and some FDA-cleared medical devices. The challenge has been the convergence of the two into a form factor that offers wearability and medical accuracy. Consumer style wearables are user friendly, but often lack the accuracy and validation for medical use. Not only may the sensors and technologies in consumer wearables be lacking, but the position on the body, such as the wrist, can limit data accuracy.
(III) Connecting Patient Data to Providers:
The final piece for RPM’s fullest potential is timely access to data. In the case of infection monitoring, time is of the essence. Or if a patient is being treated for heart conditions, it is important to know as soon as certain problem indicators are happening. A key challenge with data access is network availability.
(IV) Integrate Third-Party RPM Data in to the EHR:
Once decisions have been made on how to integrate third-party RPM data into the EHR, leaders must next decide to which device manufactures to connect assuming the EHR vendor allows custom development to ingest external data. Typical device integration can take weeks or months for an experienced software developer to code and test, which means that organizations need to be very thoughtful about which device types and manufacturers to focus on. Developing integration with a device that won’t be well-adopted, isn’t accurate, or has unstable or unreliable interfaces are all risks.
In summary, a successful RPM program will ensure that you’re getting the right data from the right people, making sense of that data to make the right interpretation, and bringing it to the attention of the right care team to take the right action.
If you have faced challenges in doing this, or are just starting out on your RPM journey, drop us a note. We’d love to share more with you, as well as look at how Dreamsoft4u might be able to help your organization create a scalable, sustainable RPM strategy. Our new remote patient monitoring platform, Impact, is designed with all of these principles in mind and is designed to extend your existing investment in your EHR and care management solutions.
Result
The web app allows patients to remotely share data with trusted caregivers. The new added measurements and reports help those doctors better capture and understand their patients’ status. The new handheld app helps doctors and caregivers manage their patients by quickly and easily entering key medical information.

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