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Hospital patient tracking systems | RFID and IoT technology

Posted | Updated by Insights team:
Dr. Evangelo Damigos; PhD | Head of Digital Futures Research Desk
  • Connected Intelligence
  • Sustainable Growth and Tech Trends
  • Healthcare


Publication | Update: Sep 2020

Patient tracking system are an effective way of managing healthcare centers, and optimizes the capacity of hospitals while boosting bed turnover. Currently, Radio frequency identification (RFID) patient tracking and IoT technology enable a smart hospital system, allowing control and analysis of patients’ status.

According to Adamo Digital, patient tracking software helps hospitals in quickly detecting the incidents by analyzing data about the patient’s movement, while sending alerts to physicians or nurses.

Hospital benefit of using patient tracking software

  1. Visit tracker: used for integration among healthcare providers. In which, patient data will be shared, and provide doctors the entire journeys of their patients for improving the diagnosis precision.
  2. Locating patients: with real-time location tracker, hospitals can locate their patients in case that they are away from their room
  3. Improving patient satisfaction: the physicians can access a database to follow-up appointments, and patients will be notified whenever they have a scheduled appointment with doctors.
  4. Effective medical record storing: Medical histories will automatically update in the database by the real-time tracking, and afford information transparency to doctors, surgeons, nurses, and more.
  5. Support managing of claims: Patient tracking systems provide evidence, which supports hospitals in deciding whether the claim is valid or not.
  6. Reducing waiting time for patients: patient tracking system optimizes the operation of healthcare centers.

IoT system architecture

An IoT monitoring system provides tools for gathering data, processing, and useful insight.

An IoT architecture for patient tracking system includes sensors, medical record tracking system, GPS, and GSM modules.

  1. Sensors are widely used in tracking temperatures, activities, vitals, location, and other defined indicators of patients.
  2. A medical record tracking system is responsible for processing and storing data collected from the sensors.
  3. GPS modules aim to track the specific location of patients on a real-time basis.
  4. GSM modules are used to send the alert to users, including patients, doctors, physicians.

IoT applications in the patient tracking system

There are several technology solutions that hospitals could consider.

1. RFID patient tracking

RFID tracking can quickly detect the exact location of patients as well as notify their upcoming schedule appointment. In modern healthcare devices, RFID can be found as a form of wristbands with identity code, which can be scanned to provides medical records, while it contains details of blood types, allergies, and more for instant access.

2. Smart clothes as new future of healthcare revolution 

Smart clothes allow both tracking and monitoring users. Instead of only providing location, smart clothes also point out how the treatment performs.

3. Patient tracking mobile app

With IoT technologies, mobile apps can be a crucial part of the hospital managing system, providing connections between service providers and patients.

In conclusion, patient tracking software and RFID tracking give doctors a hand to better communicate with their patients, which contributes to improving the internal hospital process.

 

 

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The future outlook “forecast” is based on a set of statistical methods such as regression analysis, industry specific drivers as well as analyst evaluations, as well as analysis of the trends that influence economic outcomes and business decision making.
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Forecasts, Data modelling and indicator normalisation

Review of independent forecasts for the main macroeconomic variables by the following organizations provide a holistic overview of the range of alternative opinions:

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As a result, the reported forecasts derive from different forecasters and may not represent the view of any one forecaster over the whole of the forecast period. These projections provide an indication of what is, in our view most likely to happen, not what it will definitely happen.

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The Global Economic Model
The Global Economic Model brings together macroeconomic and sectoral forecasts for quantifying the key relationships.

The model is a hybrid statistical model that uses macroeconomic variables and inter-industry linkages to forecast sectoral output. The model is used to forecast not just output, but prices, wages, employment and investment. The principal variables driving the industry model are the components of final demand, which directly or indirectly determine the demand facing each industry. However, other macroeconomic assumptions — in particular exchange rates, as well as world commodity prices — also enter into the equation, as well as other industry specific factors that have been or are expected to impact.

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