IoT for Healthcare

Accelerating Healthcare Transformation with IoT.

Real-time Monitoring
Personalized Devices
AI-driven Analytics
Highly Portable

Segments We Serve

IoT-centric Solutions for Every Gamut of Healthcare Domain.

Healthcare Providers
Clinic
Life Science
Med Techs

Advancing Healthcare with IoT

Paving the Way for IoT-powered Connected Healthcare.

Smart Mobile Devices
BioSensors
Wearable Monitors
Ingestible sensors
Could-based IoT Devices

The Growing Challenges

The common bottlenecks which might slow down your business growth.

Healthcare Cloud Solutions | Healthcare Cloud IT Software Solutions

EHR Disintegration

Aggregation of health data from varied sources does not reach the centralized EHR system and not made easily available to providers. Hence the information gets limited.

Lack of Interoperability

The information captured by the patient stays within the boundaries of each systems and is not visible to other systems, if there is improper interoperability among the IoT vendors.

cloud healthcare solutions | health cloud solutions

Lack of Specificity

All providers support the meaningful patient data between the visits, but this data becomes specific only if it is integrated and viewed within the setting of a patient health record. For this purpose, medical IoT plays a major role.

cloud healthcare solutions | cloud healthcare IT solutions

Improper Data Security

Due to lack of common security HIPAA standards, there is a great risk associated with data meddling and breaches. Hence FDA has defined security standards for IoT medical devices.

healthcare IT cloud solutions | healthcare cloud software solutions

Hardware Connectivity Fluctuation

To capture different health data provided by their respective providers, more than one sensor along with a hub is needed. Due to lack of common IoT enabled hardware or wireless connectivity standards, hubs remain incompatible with the sensors and the patients need to utilize costly extensive hardware.

Big Data Management

Collection of huge data with varied communication protocols complicate the process of identifying the useful information for physicians. It also hinders decision-making quality.

How OSP works

Healthcare IoT Development Process

Delivering state-of-the-art healthcare IoT solutions to enhance the potential of healthcare delivery.

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Future-centric Healthcare IoT Solutions

Helping to deliver better healthcare experiences with highly precise and personalized IoT devices.

IoT Medical Device Integration
- 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 if there arises any imperfection in the pattern. This support can indicate the onset of any disease.
- The patient can easily wear the device like 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 in our everyday life, it can remotely monitor at-risk patients and take instant decisions. This will easily avoid an unexpected rush to the emergency section, by raising alarm in advance.
Real-Time Location System RTLS And Services
- With the initiation of our IoT enabled technological advancements, healthcare has evolved to a different level. One of the best examples of IoT healthcare solution 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 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 a complete access to control all the activities in 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.
Sensors & Smart Devices
- 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 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.
M2M Integration
- Our OSP lab based M2M integration is one among the fastest growing types of connected device technologies available presently in the market. Apparently, it can use any sensor to communicate i.e., systems can monitor themselves while automatically responding themselves to the changes in environment. Human involvement is totally less, which would be very much 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 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.
Intelligent Health Management
- 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.
BioSensors
- 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 and web applications.
- 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.
Machine Learning Applications
- 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 unlike the doctors 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 an effective data processing.
- Though there is a lag of integrating machine learning solutions in healthcare industry, we can offer incredible prospects to innovate clinical care and provide a personalized customer experience.
Blockchain-Based Healthcare IoT Solutions
- Besides banking and finance, our blockchain based IoT technology can be successfully used in healthcare industry. Blockchain based IoT integration in OSP lab secure millions of medical records includes 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. Same way, the EHR can be kept inaccessible to others also.
- 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.

Our Success Stories

Integrated Mental Health Billing System

OSP Labs helped a Texas-based clearinghouse by delivering a cloud-powered, automated mental health billing system to streamline billing workflow across multiple provider settings. VersaForm EHR-integrated, cloud-driven and HIPAA-compliant billing system were combined with ERA support and claim scrubbing tool. Read More

Cloud-based Dental Billing System

How we successfully engineered a cloud-driven tailored automated billing system for a well-known California-based Dental FQHC. ICD-10 Conversion, Credentialing, Integrated EHR and Automated Denial Management were the major takeaway points. Read More

Technology Disruption
Re-envisioned for healthcare stakeholders

Patient Health Monitoring

Wireless Body Area Network (WBAN) consists of wearable sensors as the data acquisition unit, networking and the service layer.
Sensors transmit the gathered information to the gateway server through bluetooth connection.
Cloud Processing has three distinct components such as storage, analytics, and visualization.
Utilizing a cloud based medical data storage, the medical staff can access the stored medical data through content service application.
Visualization analyses the data as per query and present them in a readily digestible format such as SMS format.

Smart Hospital Management

Includes EMR management, smart alerts and notifications, connected rooms and smartphone-based assistant applications for caregivers.
Integrated monitoring devices with analytics software with patient flow management system in hospitals
Effectively track patient status and treatment schedule. Emergency alerts get triggered from patient monitoring devices.
Integrated medical asset management solution to locate equipment, track availability and transparency of the purchasing process.
Pharmacy inventory management was also tagged with RFID technologies.

Sensor-Enabled Health Prediction

Sensors form the core of the IoT applications, involved in monitoring, taking measurements and collecting data.
A central node receives data from sensor nodes to process information, make decision and forwards to an external location.
A dedicated central node would be a smartphone with improved battery life relevant to a healthcare IoT system.
The received data from the sensors can be transformed into a digital form and transmit it over a network.
Wireless sensors help people to wear portable sensors capable of automated data collection and transfer.

Clinical-Grade Biometric Sensors

Clinical-Grade Biometric Sensor are placed highly in medical field as it benefits at-risk patients and persons in emergency medicine.
They can acquire accurate personalized medical data in continuous, episodic, or static physiological streams via digital form.
This cloud based platform is a hub of non-invasive body monitoring solutions to track heart rate, calorie intake and plenty more.

Clinical Operation & Workflow Management

Real-time visibility into the status of staff and patients can improve patient experience and operational efficiency.
Patient wait times, overcrowding, and lengths of stay can be reduced effectively.
Improved operational decision making and workflow optimisation is possible through powerful visual analytics.
Initiate process improvement with sophisticated reporting tools that deliver workflow analysis with minimized variability.

Connected Lab Imaging

An IoT based intelligent cyber-physical environment where all devices communicate with each other and with enterprise information systems.
The required data would be acquired without manual intervention.
Identification mechanisms via RFID, bluetooth-enabled biorhythmic bracelet, motion control via gyroscopes to detect gestures and augment display.
Embedded physical devices with software, sensors and network connectivity for automatic data exchange.

IoT-Backed Drug Management

The IoT solution has added RFID to monitor drug supply chain within the producers, consumers and regulators.
Same way, invention of smart pills aids in monitoring of health issues and medication regimen.
Smart pill bottle can be used without any setup procedure. Using sensors, the pill bottle can detect the usage of medication.
If no medication is taken, the service will remind the patient via an automated text message or phone call.
The bottle constantly collects and send real-time data to the secure dashboard for analysis.

Drug Development

With the real time data, pharma companies can ensure proper quality with better clinical outcomes by avoiding wastage or fabrication.
With IoT sensors, pharma companies assimilates huge data across various departments, and spread across the globe.
In addition to production, IoT in healthcare can also help pharmaceutical companies figure out the logistics and transit issues. Sensors can be installed to improve the warehousing and optimising routing.
While in transit, Internet of Things in healthcare can also be trusted for taking care of medicines & vaccines. They should be maintained under specific temperature and physical conditions. Sensors can monitor the environment of these pharmaceutical products in real-time and report if there is any issue.

Sensor-Enabled Pill

New innovative solutions such as sensor-enabled pills provide doctors with better insights about the patient’s health.
With the medications, the healthcare professional will prescribe sensor-enabled pills containing an ingestible sensor.
Once the sensor-enabled pill reaches your stomach, it sends a signal to the Patch worn by the patient.
The sensor-containing Patch will monitor the swallowing time which can be relayed to the patient and doctor.
Doctors can monitor the medications, activity levels such as heart rate, blood pressure etc. and provide suitable treatment plan.

Connected Medical Devices

A cloud based platform enables wireless transfer, storage and display of HIPAA compliant clinical data.
This platform allows interoperability with a variety of natively available medical devices and apps.
A set of ready to use tools enable device remote access, interaction with other devices and perform the smart tasks.
It can either be integrated with portable or stationary medical equipment or fit into a tiny sensor.
The activities include real time data collection, analysis, prevention of malfunctions, device configuration and software updation.

Real-Time Medical Equipment Tracking

Easy real-time tracking and management of medical devices is possible by the integration of RFID technology.
RFID provides information on patient tracking, patient safety, hospital bed tracking, and workflow analysis.
RFID tag is attached to the medical device to transmit data to the nearby receivers linked to the hospital’s LAN.
Web-based location software analyses and displays the exact location in real time.
Automatic device configuration, in addition to log-on and log-off and real-time workflow adjustments are its advantages.