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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Healthcare IoT Solutions Development Services


Design and Development of Custom IoT Healthcare Sensors

  • Development of remote monitoring IoT healthcare solutions
  • Blood pressure cuffs
  • Glucometers
  • Heart rate monitor
  • Wearable health vitals tracker

Development of Healthcare IoT Solutions for Doctors

  • Development of healthcare IoT-powered remote patient monitoring system
  • Dashboard for a comprehensive view of patient vitals
  • Functions for alerts in case of fluctuations in patient vitals
  • Analytics to gain insights into patients' health
  • Emergency button for patients to notify providers and select family members

IoT Healthcare Solutions For Medical Organizations

  • Hospital asset tracking and location indicators
  • Devices for real-time monitoring of patient vitals
  • Alerts for nurses in case of abnormal vital signs
  • Analytics of medical data derived from IoT healthcare sensors for predictive care
  • Healthcare IoT solutions for business intelligence for hospitals and clinics

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Frequently Asked Questions

IoT indicates devices with sensors, processors, and onboard software, which allow the devices to interconnect and exchange data. The devices are usually connected to a network.  

For clinical care  

In healthcare, IoT devices are usually wearables that collect data on patients’ health vitals like blood pressure, heart rate, body temperature, etc., and transmit them wirelessly to another device. This enables physicians to monitor patients’ health remotely outside a hospital or clinic.  

For Hospital Administration  

Regarding hospitals, IoT devices with sensors can be used to track medical equipment like oxygen cylinders and pumps, wheelchairs, defibrillators, etc. Moreover, IoT-based devices can also be used to monitor the refrigeration temperature, and humidity of storage spaces used to keep organic medical materials.  

IoT medical devices are devices fitted with sensors, dedicated software, and processing ability used for healthcare purposes. These devices gather real-time data and transmit it for analytics and subsequent decision-making.  

For example, an IoT-enabled wearable garment can detect the wearer’s health vitals like body temperature, sleep patterns, blood pressure, etc. This data is then gathered on a connected mobile application and sent to a doctor who can assess it and make a diagnosis or a prognosis. IoT-based medical devices have enormous applications in remote patient monitoring, where a doctor can monitor patients’ health from a distant location.   

This benefits elder care at assisted living centers and extends access to medical services to distant underserved locations. By gathering and transmitting data in real-time, IoT enables users to analyze the data for insights. In the case of healthcare, the medical data highlights patient conditions.  

  • Compatibility of Devices  

IoT devices in a network need to be compatible with each other for smooth data interchange. However, since each of them would be made by a different company using different programming languages, information protocols, data formats, and standards, their compatibility tends to pose a major challenge.  

  • Data Privacy  

IoT-enabled devices collect people’s medical data, which is private. However, they are vulnerable to cyber-attacks and data breaches, violating the privacy of patient data.   

  • Data Management  

The data accumulated by IoT-powered medical devices would be in different formats and indicate different things, not to mention being in large quantities. Patient vitals must be stored, ordered, and assessed for actionable insights. So, managing this data can be a challenge.  

  • Data Ownership  

The legislation surrounding data generated from healthcare IoT devices tends to vary from state to state. Although it is patients’ medical information, its collection, ownership, transfer, storage, and use pose ambiguities regarding ownership.  

IoT technology makes devices smarter. This means they can not only perform the function they were built for but also interconnect with other devices in a network and exchange relevant data in real-time. When it comes to healthcare, this data exchange goes a long way in improving the quality of patient care and day-to-day operations at hospitals.

IoT can usher in a new wave of remote patient monitoring, where doctors and patients need not be in the same building. Wearable technologies like smartwatches and garments can monitor a wide range of health vitals in real time. Some include smartwatches, exercise trackers, activity monitors, and garments that track vitals. These gadgets can track the wearer’s blood pressure, body temperature, heart rate, and ECG as long as they are worn. The data they accumulate is shared with doctors who can monitor the health of the wearer.  

This ability to monitor patients remotely helps providers with diagnoses outside of clinical settings. This has far-reaching applications for senior care, which is facing a shortage of caregivers. Moreover, this will enable people living in underserved locations to access specialist care without traveling far. Continuous real-time medical data enables providers to leverage analytics to predict who might be at higher risk. Such a predictive approach to care can transform medicine as we know it.  

Healthcare is driven by reliable data on the patient’s medical situation. By harnessing patients’ health information continuously and in real-time, IoT helps clinicians monitor patients’ health remotely. The data on patients is generated through wearable devices that include sensors to monitor health vitals and transmit them to providers.   

The data received by providers help in making diagnoses remotely. This has enormous implications for telehealth, where providers can offer medical services remotely. This is especially helpful during epidemics or pandemics when traveling to a clinic can be risky. Accessing medical services from one’s home can improve access to care for people living away from urban locations. Extension of access to medical services is one of the biggest impacts that IoT can have on the healthcare industry.

Although IoT healthcare solutions might not be the future of healthcare as a whole, there is no doubt that they have a large role to play. Data is the lifeblood of many industries, and healthcare is no different. Healthcare IoT solutions can collect continuous patient health data and transmit it reliably to providers at remote locations.  

Continuous real-time medical data on patients facilitates the use of cutting-edge analytics software, which harnesses insights about people’s health. In other words, it can help doctors identify high-risk patients early on and stage interventions. This ability to have a preventive approach to care can revolutionize how chronic diseases are treated and enable people to lead healthier lives. To sum it up, IoT solutions have an undeniable place in the future of the healthcare industry.  

IoT makes devices smarter. Devices that IoT powers can collect data, process it, and share it with other devices connected to a network. When it comes to healthcare, this ability to collect reliable medical data and share it for processing brings forth a layer of intelligence to clinical and administrative operations in healthcare.   

  • Non-Clinical Administrative Workflows    

IoT solutions can track hospitals’ medical inventory, locations, movement, and usage. This includes equipment like defibrillators, oxygen pumps, ECG monitors, ventilators, and even wheelchairs. This streamlines day-to-day administrative activities at hospitals and gives rise to smart hospitals. Smart environments essentially exchange data that helps managers make informed decisions. The workflows at hospitals can become significantly smarter and more streamlined with IoT solutions.  

  • Clinical Activities  

One of the biggest clinical applications of IoT is in wearable medical technology. These gadgets can be worn by a person and monitor and connect data on his or her vital signs. These signs may include heart rate, ECG, blood pressure, etc. The wearable devices collect this data and transmit it to doctors, who can assess them for a diagnosis. They can also sound out an alert in emergencies like heart attacks, seizures, and other factors that stray from normal vital signs.  

To sum it up, IoT makes devices in healthcare smarter through the exchange of real-time data. This directly leads to improvements in clinical and administrative operations at healthcare organizations.  

  1. Smartwatches that detect heart rate, body temperature, and blood pressure.  
  2. Activity trackers that track the intensity of exercise and physical activity  
  3. Glucose monitor  
  4. Ingestible sensors  
  5. Fall detection (For seniors)  

An IoT-based healthcare system relies on devices that collect and exchange data in real time. This data could include patient vitals that would help doctors with diagnosis. In addition to this, IoT solutions can also be used to create smart hospitals, in which operational and administrative data is interchanged on an organization-wide network for streamlined workflows.  

In other words, an IoT-based healthcare system is based on smart devices with sensors, the data accumulated by those sensors, the network on which the devices are interconnected, and finally, the utilization of that data for medical and administrative activities at healthcare organizations.  

The future of IoT in healthcare would see the use of more sophisticated sensors and instruments used to collect medical data. In addition, as the healthcare industry continues to adopt IoT across the board, we can expect to see newer innovations and greater investments in the technologies to store and manage the growing body of data.  

Big data analytics would be a definite part of IoT-based healthcare since the amount of data is expected to grow exponentially in the years to come. Newer technologies powered by artificial intelligence and machine learning are expected to be deployed to analyze the growing body of data for usable insights.   

On the networking front, cloud computing technologies are expected to be used in healthcare IoT for data collection, storage, exchange, and management. As the industry adopts IoT at an increasingly higher rate, we expect to see a growing role in the cloud.    

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