Healthcare IoT

Healthcare IoT is the interaction among a group of interconnected devices in a network that exchanges data relevant to healthcare operations. These devices could be heart rate monitors, smart watches, wearable technologies, glucose monitors, fitness trackers, etc. These devices’ data generated in real-time and shared is useful in clinical operations. One of the biggest and most promising applications of healthcare IoT solutions is in the remote monitoring of patients, where the data generated is useful for clinical diagnosis.   

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Future-centric Healthcare IoT Solutions

  • An integral part of our OSP lab integrated medical IoT is to introduce intelligent connected devices, which can easily monitor the health condition of the patients, take the accurate readings, observe patterns and send alerts for any imperfection in the pattern. This support can indicate the onset of any disease.
  • The patient can easily wear the device like a watch. It won’t create any uneasiness. He/she will stay connected to the device, through which the health condition can be monitored easily.
  • Through our successful IoT medical device integration, remote monitoring of at-risk patients and instant decision-making is made possible. This will easily avoid an unexpected rush to the emergency section, by raising alarms in advance.

  • With the initiation of our IoT enabled technological advancements, healthcare has evolved to a different level. One of the best examples of IoT healthcare solutions is the development of RLTS- Real-Time Location System.
  • Our IoT experts built a system that attaches an active or passive label to the patient, caregiver and equipment if it is directly integrated to ID card of the equipment, hospital staff management and patient IDs. Hospitals utilize this RTLS to track staffs, patients and devices.
  • Using our OSP labs RTLS tracking, it is easier to call a nurse, check electronic medical records of a patient, track and maintain medical devices even if they are out of sight, transfer of patient and discharge, etc. RTLS gives complete access to control all the activities of a hospital on their app. Even if a patient is waiting for the physician, an alert will pop up in the physician’s app to do the needful.

  • Our OSP lab enabled sensor technologies, such as wearable sensors and devices, provide numerable benefits for health management. Precise reading with the right interpretation of indicators is possible due to interconnected sensors to mobile devices. Thus, it enables medical centres to substitute heavy medical equipments with smaller and cost effective devices.
  • Smart devices, such as smart inhalers to treat bronchial asthma, syringe pens to treat diabetes mellitus, smart pills, and smart blister packs are widely developed and utilized in commercial level. This rapid integration of our Internet of Things in healthcare applications is expected to reach the market profit of a billion dollars by 2022.
  • These OSP lab integrated intelligent tech solutions facilitate diagnosis, enhance treatment, and improve customer service that represents a significant step towards the improvement of disease treatment.

  • Our OSP lab based M2M integration is one among the fastest growing types of connected device technologies, available presently in the market. It can use any sensor to communicate, i.e., systems can monitor themselves, while automatically responding to the changes in environment. Human involvement is minimal, which serves to be helpful during patient communication.
  • Through our M2M integrated OSP labs platform, organizations can release a new generation of consumer-facing services in wearables and patient monitoring. It can collect patient-specific data, transport, analyse and react faster than a medical professional.
  • For instance, if a patient’s oxygen level comes down, a device connected to the cloud can administer oxygen and provide additional care until healthcare professionals arrive on the spot. Through our M2M technology solutions, the patient need not go to the hospital for this service. It can be done when the patient is at home.

  • The effective maintenance management of medical technology influences the quality of care delivered and the profitability of healthcare facilities. If the medical equipment maintenance lacks an objective prioritization system, then the system becomes insensitive to the impact of equipment downtime on patient morbidity and mortality.
  • The integration of Intelligent Health Management achieves valuable improvements in the maintenance management of medical technology. This work-order prioritization model sorts medical maintenance requests by calculating a priority index for each request.
  • Our OSP labs enabled system is highly efficient in minimizing equipment downtime based on healthcare delivery capacity, followed by patient outcome. In addition, a preventive maintenance optimization module and an equipment quality control system are incorporated. Hence, the system is expected to improve the reliability of medical equipment and significantly improve safety and cost-efficiency.

  • OSP Lab enabled biosensors act as the most important elements of the healthcare digital transformation. Our wide range of biosensors transmit medical information through a wireless network to mobile health apps.
  • Healthcare providers can control the patient treatment schedule and monitor their health outside the hospital walls by collecting data on physical activities, sleep, and overall health. The health information includes measuring glucose levels, heart rate, oxygen level, etc. in real-time and alert the users/doctors if any health issue gets detected. Biosensors record the readings with high sensitivity and specificity, which remain effective for treating elderly patients with several chronic diseases at once.
  • The health records of the patients are constantly updated, which can easily provide a clear picture of the clinical course in each specific case.

  • Like in other sectors, machine learning has got many advantages in the healthcare industry. OSP lab enabled Machine learning applications can help medical administrations to improve customer service, extract value from large data amounts, proficiently analyze medical records, and improve patient treatment.
  • Thus, healthcare and pharmaceutical companies can utilize our OSP lab-enabled machine learning analytics in streamlining clinical trials and decision-making processes, as opposed to manual efforts where there is a high chance of human error. Our Machine learning solutions can collect more data from new sources, break down information asymmetries, and add automated algorithms to deliver effective data processing.
  • Though there is a lag of integrating machine learning solutions in the healthcare industry, we can offer incredible prospects to innovate clinical care and provide a personalized customer experience.

  • Besides banking and finance, our blockchain based IoT technology can be successfully used in healthcare industry. Blockchain-based IoT integration at OSP Labs, secure millions of medical records including safe data storage, protected transactions, secured data exchanges between healthcare administrations, undisputable data record, and transparent data flow. For high secured data storage and communications in healthcare, the blockchain system provides an absolute log of authentication permissions for healthcare data access.
  • For the smooth functioning, an RFID scanner or biometric scanner device were also implemented to verify a bodily feature of the patient (a fingerprint, an iris, a retina, or any facial feature) for personalized access. This method would allow the first responders to quickly access the complete health record of the patient. In the same way, the EHR can be kept inaccessible to others as well.
  • With digital health OSP Lab-based solutions, like blockchain-based IoT taking the active stage, we are moving towards a new age transformation involving patient treatment, health monitoring, and management.


OSPs can create solutions for healthcare IoT to enable providers to collect real-time health data on their patients from a remote location. This is extremely useful in caring for seniors and people living in assisted living centers. A single provider can monitor the health signs of multiple patients and recommend appropriate treatments without even being in the same building. This makes up for the absence of elder care without increasing the costs.

IoT solutions for healthcare improve the collection of real-time health data on patients. This includes blood pressure, heart rate, ECG (Electrocardiogram), blood glucose, body temperature, etc. This is transmitted in real-time to providers. This data and variations can be assessed over time to reveal if a person might be headed towards a disease. This approach is especially useful for helping people with chronic diseases manage their health better.

The IoT healthcare solutions that OSP can build generate accurate, real-time data about medication and patient vitals. In other words, IoT healthcare sensors facilitate improved treatment management that is data-driven. As a result, there are fewer, if any, errors in medication or diagnosis. By helping to avoid these errors, healthcare IoT solutions prevent wastage for providers and payers, which ultimately results in lowered care costs.

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