Modernizing Medical Waste Management: Unleashing the Power of the Internet of Things (IoT)
Abstract
:1. Introduction
- RQ1: What is the current status of digitalization in waste management?
- RQ2: What are the existing challenges and barriers to the adoption of digitalization and IoT technologies in medical waste management?
- RQ3: How can IoT technologies contribute to achieving net-zero waste goals?
1.1. Challenges
- The implementation of advisable procedures in waste management;
- Violation in the segregation of waste;
- The effect of improper waste management on humans and the environment;
- Minimizing manual labor in monitoring waste management;
- The digitalization of the entire process of waste management.
1.2. Contribution
- This paper provides a systematic literature review of waste management procedures recommended by the World Health Organization under the surveillance of the United Nations.
- This paper provides an overview of challenges in waste management and the frameworks in the proposed projects associated with successful implementation.
- This paper aims to facilitate a deeper understanding of application complexity and provide insights into suitable benchmarking practices. Additionally, it will present an evaluation of the implementation costs associated with the proposed architecture.
2. Research Methodology
3. Monitoring Medical Waste Management
3.1. Segregation
Waste | Definition | Color Code | Label |
---|---|---|---|
Sharp | Items that could cause cuts or puncture wounds, including needles, hypodermic needles, scalpels, other blades, knives, infusion sets, saws, broken glass, and pipettes. | Yellow | Marked “SHARP” with a biohazard symbol |
Infectious | Material suspected to contain pathogens, including bacteria, viruses, parasites, or fungi. | Yellow | Biohazard symbol |
Pathological | Human or animal tissues, organs, body parts, blood, and bodily fluids. | Yellow | Biohazard symbol |
Pharmaceutical and Genotoxic | 1. Expired, unused, split, and contaminated pharmaceutical products; prescribed and proprietary drugs or vaccines; and sera that are no longer required. 2. Hazardous, mutagenic, teratogenic, or carcinogenic medicine or drugs. | Brown | Hazard symbol |
Chemical | Discarded solid, liquid, and gaseous chemicals. | Brown | Hazard symbol |
Radioactive | Materials contaminated with radionuclides. | - | Radioactive symbol |
General | Waste from hospitals without contact with infectious agents, hazardous chemicals, or radioactive substances and that does not constitute a sharp hazard. | Black | General waste |
3.2. Storage
3.3. Transportation
3.4. Disposal Process and Treatment
- Thermal treatment is a popular method for waste disposal. Low-heat thermal processes, such as microwave treatment, are sufficient to eliminate all pathogens, even those that cannot be combusted. This process can be carried out at temperatures ranging from 100 °C to 180 °C [15].
- Incineration is considered the most efficient method as it can handle large quantities of waste at once. It is recommended to be conducted under controlled operational conditions at temperatures between 1100 °C and 1600 °C [18]. All medical waste incinerators should adhere to air emission standards to minimize the potential for air pollution. However, incineration requires high maintenance costs and proper ash disposal, and the gas emissions resulting from the combustion of medical waste can have harmful effects on human health and the environment [25]. Consequently, some countries resort to backyard burning without proper monitoring.
- Chemical processes are often employed to disinfect or sterilize medical waste. Dissolving items in chlorine dioxide, sodium hypochlorite, peracetic acid, lime solution, ozone gas, or calcium oxide powder is a common practice to eliminate infectious bacteria from medical tools and equipment before disposal [24].
- Steam heat generated by autoclaves is commonly used for sterilization. Autoclaves can ethically and legally treat waste when sufficient time and temperature are applied. The Ethiopian government has acquired two high-technology autoclaves (T100) capable of treating up to 10–15 kg (100 L) of waste at a time, with a steam pressure of 3.8 bar and a temperature of 138 °C, followed by cooling. These machines were procured for the purpose of establishing centers for disposing hazardous medical waste in Kohtla-Jarve [32]. Malaysian health centers are advised to autoclave all clinical human waste and non-reusable general waste before incineration.
- Biological processes utilize enzymes to accelerate the degradation of organic waste containing pathogens, while mechanical techniques are employed to reduce waste volume. Mechanical methods include shredding, grinding, mixing, and compacting. Both processes contribute to enhancing the heat rate during incineration or any heat treatment. Some wastes are shredded prior to being placed in the autoclave machine to maximize space utilization [16].
4. Digitalization of Waste Management Monitoring
4.1. Internet of Things in Waste Management Monitoring
4.2. Internet of Things Systems
4.2.1. Sensors, Network, and Application
Geospatial
Moisture
Presence of Waste
Weight
Air Contaminant
Application | Sensor | Function | Limitation of Study | Study |
---|---|---|---|---|
Waste bin tracking | GPS | Tracking the exact location of waste bins during collection. | No real-time data sharing to any storage or processing facilities. | [1] |
Waste bin and vehicle tracking | GPS | Communicate the precise location of the waste bins and activities of the vehicles. | No real-time data sharing to any storage or processing facilities. | [3] |
Vehicle tracking | GPS | Communicate the precise activities of the vehicles. | No real-time data sharing to any storage or processing facilities. | [41] |
Drive tracking | GPS | Communicate the activities of the drivers. | No real-time communication is presented. | [54] |
Landfill selection | GPS | Integrating feasible locations for disposal. | No direct and real-time communication with the landfill management. | [46] |
Bin status | DHT22 | Monitoring the humidity inside the garbage bin to determine the released toxic odor. | No data sharing to storage, transportation, and disposal management. | [2] |
Waste segregation | FC-28 | Separate waste to dry and wet waste for disposal. | No data sharing to storage, transportation, and disposal management. | [25] |
Waste segregation | DHT11 | Separate waste to dry and wet waste for disposal. | No data sharing to storage, transportation, and disposal management. | [38] |
Waste detection | HC-SR04 | To detect the waste presence and connect to smart waste segregation. | Data on waste level and status are still presented manually. | [25] |
Waste level detection | HC-SR04 | To measure the waste level in the bin. | Data on waste status are still presented manually. | [26] |
Waste level detection | HC-SR04 | To measure the waste level in the bin and connect the data to the waste collector. | [29] | |
Waste and level detection | HC-SR04 | To detect the waste presence and measure waste level. | [38] | |
Waste level detection | HC-SR04 | To measure the waste level in the bin and connect to clouds and apps. | [42] |
4.2.2. Technology Used in Monitoring Waste Proposals
4.2.3. Data Transporting Device
4.2.4. Software Application Technology
LoRa | WiFi | Zigbee | |
---|---|---|---|
Wireless network | Low-power wide area network (LPWAN) | Local area network (LAN) | Personal area network (PAN) |
Operating band | 433, 869, and 915 MHz | 2.4 and 5 GHz | 815 and 915 MHz |
Data rate | 50 kbps | 11–54 Mbps | 20, 40, 100, and 200 kbps |
Bandwidth | <500 kHz | 22 MHz | 2 MHz |
Transmission range | 5 km (urban) and 10 km (rural) | 100 m | 100 m |
ThingSpeak | Firebase |
---|---|
IoT developers store, visualize, and analyze live data streams on the cloud. | Mobile app developers design and execute their applications. |
Collect the data privately on demand from third-party sources. | Data monitoring and troubleshooting using mobile apps. |
Data can be transferred easily to MATLAB. | Data can be easily analyzed using Google Analytics. |
Develop IoT systems without setting up servers or developing web software. | Locally synched with the database when the device is established. |
Communicate data using third-party services and social media platforms. | Customers can easily sign in to check data using secure platforms like Google, Twitter, and Facebook. |
5. Critique and Further Development
- Inadequate waste segregation: Insufficient attention to and the improper segregation of medical waste pose significant risks to the public and waste management workers. Manual segregation processes are time consuming and prone to errors. Research projects have focused on waste segregation, but it remains a pressing issue, with healthcare centers sometimes violating waste separation regulations.
- The partial digitalization of waste management: While digitalization efforts have been made in some countries using QR codes and RFID, the current practice still relies on manual processes for waste separation and quantification. Real-time tracking, particularly for surveillance purposes, is lacking. Proper storage facilities, including monitoring humidity and duration, are crucial to prevent the environmental impact. Monitoring heat treatment procedures is also essential to ensure safe disposal.
- The lack of a unified platform: Hospitals and medical facilities use different platforms for purchasing, administration, and waste monitoring. There is a need for a communication platform that connects manufacturing companies, hospital purchasing and inventory departments, waste generators, storage facilities, transportation contractors, and disposal process occupiers. Such a platform would facilitate accountability for waste generation and management.
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Inclusion | Exclusion |
---|---|
Published between 2017 and 2022. | Published in a language other than English. |
Included a review of waste issues and monitoring management. | Published only as an abstract. |
Included some proposed methods of digitalization of waste monitoring and management via the Internet of Things. | Published as editorials, commentary, or reports. |
Included a proposal of either a framework, a demonstration, or a prototype approach for monitoring waste management. |
Type of Waste | Segregation and Collection | Storage Facilities | Transportation | Process and Treatment | Study |
---|---|---|---|---|---|
General | Waste level, status, and collection status | - | - | - | [2] |
Medical | Waste level and status and bin location | Storage record | Route and Location | Facility location | [3] |
Medical | Waste classification via image processing and robotic arm | - | - | - | [7] |
Medical | Waste status, level, weight, and collection status. | - | - | - | [30] |
General | Waste classification via waste moisture | - | - | - | [25] |
General | Waste level | - | - | Process emissions | [26] |
Medical | Waste classification via QR codes and waste weight | Waste weight | Waste weight | - | [28] |
General | Bin location and waste collection status | - | - | - | [1] |
General | Collection status | - | - | - | [29] |
Radioactive | - | Storage record, amenities, and waste weight | - | - | [31] |
General | Waste classification via waste moisture | - | - | - | [38] |
General | Waste level | - | - | - | [39] |
General | Waste status, waste level, and bin location. | - | - | - | [40] |
General | Waste status, level, classification via moisture, and collection status | - | Route and Location | Facility location | [41] |
General | Waste level | - | - | - | [42] |
Solid waste | Waste level and status and collection status | - | - | - | [43] |
Technique | Strengths | Limitations |
---|---|---|
Segregation | ||
Collection of waste | These systems may be able to facilitate the vehicle route planning, reduce collection time, and optimize fuel costs for the vehicles. | No information on waste violations is provided. |
Waste status | These systems allow smart bins to detect the presence of waste. | |
Bin location | Designated systems will allow transportation companies to detect the location of the bin and arrange collection routes. | |
Waste level | Administration can be notified to arrange contracts for storage and transportation. | |
Waste classification | Waste is classified according to humidity and odor. | No classification of waste according to the advised group of segregation. No notification is given if a violation of segregation happens. |
Waste weight | Storage facilities and transportation are notified about the weight that the vehicle will transfer. | No information on waste violations is provided. |
Storage requirement | ||
Storage record | Data of waste moving in and out of storage are being recorded. | - |
Amenities | The temperature of the storage room is recorded and monitored according to the product’s suitability. | - |
Waste weight | Details information to avoid fraud and misuse of waste. | - |
Transportation details | ||
Vehicle registration | Details information to avoid fraud and misuse of waste. | - |
Route and location | Route taken by the vehicles and real-time waste location are monitored. | - |
Waste weight | Details information to avoid fraud and misuse of waste. | - |
Disposal treatment and process | ||
Type of process | No tracking of the type and condition of the process or treatment given to the waste. | |
Location | Details information to avoid fraud and misuse of waste. | |
Process emission | The effect of the process on the environment is documented. |
Sensor | Sensing | Transporter | Communication | Gateway | Service Platform | Study |
---|---|---|---|---|---|---|
GPS | Waste bin location | - | Not specified | Arduino | Not specified | [28] |
DHT22 | Waste moisture | - | WiFi | Arduino | ThingSpeak | [1] |
GPS | Waste bin and lorry location | RFID | Not specified | Not specified | Not specified | [2] |
Not specified | - | Not specified | Raspberry Pi | Not specified | [6] | |
Not specified | RFID | Not specified | Raspberry Pi | Not specified | [26] | |
HC-SR04 | Ultrasonic sensor | MQTT publisher | WiFi/LoRa | MQTT802.11 | Not specified | [29] |
HC-SR04 | Ultrasonic sensor | - | WiFi | Arduino | Not specified | [30] |
FC-28 | Moisture of waste | |||||
HC-SR04 | Ultrasonic sensor | RFID | LoRa | Not specified | Firebase | [25] |
HX711 | Weight | |||||
TGS2600 | Odor and gas emissions | |||||
Not specified | QR code | Not specified | Not specified | Not specified | [31] | |
HC-SR04 | Ultrasonic sensor | - | WiFi | Raspberry Pi | Not specified | [38] |
DHT11 | Waste moisture | |||||
Not specified | Ultrasonic sensor | RFID | Not specified | MSP430 | Not specified | [39] |
Not specified | - | Zigbee | XBee | Not specified | [40] | |
GPS | Lorry location | - | Not specified | Not specified | Not specified | [41] |
Not specified | - | WiFi | Adruino | ThingSpeak | [43] | |
HCRS-04 | Ultrasonic sensor | - | WiFi | Adruino | Ubidots | [42] |
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Mohamed, N.H.; Khan, S.; Jagtap, S. Modernizing Medical Waste Management: Unleashing the Power of the Internet of Things (IoT). Sustainability 2023, 15, 9909. https://doi.org/10.3390/su15139909
Mohamed NH, Khan S, Jagtap S. Modernizing Medical Waste Management: Unleashing the Power of the Internet of Things (IoT). Sustainability. 2023; 15(13):9909. https://doi.org/10.3390/su15139909
Chicago/Turabian StyleMohamed, Nurul Hamizah, Samir Khan, and Sandeep Jagtap. 2023. "Modernizing Medical Waste Management: Unleashing the Power of the Internet of Things (IoT)" Sustainability 15, no. 13: 9909. https://doi.org/10.3390/su15139909
APA StyleMohamed, N. H., Khan, S., & Jagtap, S. (2023). Modernizing Medical Waste Management: Unleashing the Power of the Internet of Things (IoT). Sustainability, 15(13), 9909. https://doi.org/10.3390/su15139909