scholarly journals Interoperable System for COVID-19

2021 ◽  
Author(s):  
Yash Chaudhari ◽  
Shelly Sachdeva ◽  
Lakshita Aggarwal
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Human Error ◽  
Low Cost ◽  
Medical Data ◽  
Digital Form ◽  
Health Records ◽  
Technology Sector ◽  
Single Person ◽  
Care Workers

Abstract In the year 2020, the world halted due to the spread of COVID-19 or SARS-CoV2 which was first identified in Wuhan, China. Since then, it has caused a plethora of problems around the globe such as the loss of millions of lives. India was one of the countries which were majorly affected by this pandemic. Thousands lost their lives and millions had to be hospitalized and taken into medical care. Due to this, there is an abundance of unorganized and redundant medical data in the Health Information Technology sector. Many hospitals contain various mismatched health records of a single person. We attempt to develop an Interoperable System specifically for COVID-19 using the openEHR standard to organize health records in digital form by creating Electronic Health Records. These records can be accessed and shared by multiple hospitals and clinics to reduce the redundancy of health records. This would establish effective communications between different hospitals and greatly make data sharing, efficient and low cost. Standardization can hugely affect medical errors. Interoperability provides hospitals to share across many channels and help Health care workers to detect discrepancies easily. Lives that are lost due to human error in the health care system can be minimized or even completely avoided. The number of hospitals using interoperable standards is still low and we hope that this paper will help make a change towards following the standard.

scholarly journals Interoperable System for COVID-19

2021 ◽  
Author(s):  
Yash Chaudhari ◽  
Shelly Sachdeva ◽  
Lakshita Aggarwal
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Human Error ◽  
Low Cost ◽  
Medical Data ◽  
Digital Form ◽  
Health Records ◽  
Technology Sector ◽  
Single Person ◽  
Care Workers

Abstract In the year 2020, the world halted due to the spread of COVID-19 or SARS-CoV2 which was first identified in Wuhan, China. Since then, it has caused a plethora of problems around the globe such as the loss of millions of lives. India was one of the countries which were majorly affected by this pandemic. Thousands lost their lives and millions had to be hospitalized and taken into medical care. Due to this, there is an abundance of unorganized and redundant medical data in the Health Information Technology sector. Many hospitals contain various mismatched health records of a single person. We attempt to develop an Interoperable System specifically for COVID-19 using the openEHR standard to organize health records in digital form by creating Electronic Health Records. These records can be accessed and shared by multiple hospitals and clinics to reduce the redundancy of health records. This would establish effective communications between different hospitals and greatly make data sharing, efficient and low cost. Standardization can hugely affect medical errors. Interoperability provides hospitals to share across many channels and help Health care workers to detect discrepancies easily. Lives that are lost due to human error in the health care system can be minimized or even completely avoided. The number of hospitals using interoperable standards is still low and we hope that this paper will help make a change towards following the standard.

scholarly journals Interoperable System for COVID-19

2021 ◽  
Author(s):  
Yash Chaudhari ◽  
Shelly Sachdeva ◽  
Lakshita Aggarwal
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Human Error ◽  
Low Cost ◽  
Medical Data ◽  
Digital Form ◽  
Health Records ◽  
Technology Sector ◽  
Single Person ◽  
Care Workers

Abstract In the year 2020, the world halted due to the spread of COVID-19 or SARS-CoV2 which was first identified in Wuhan, China. Since then, it has caused a plethora of problems around the globe such as the loss of millions of lives. India was one of the countries which were majorly affected by this pandemic. Thousands lost their lives and millions had to be hospitalized and taken into medical care. Due to this, there is an abundance of unorganized and redundant medical data in the Health Information Technology sector. Many hospitals contain various mismatched health records of a single person. We attempt to develop an Interoperable System specifically for COVID-19 using the openEHR standard to organize health records in digital form by creating Electronic Health Records. These records can be accessed and shared by multiple hospitals and clinics to reduce the redundancy of health records. This would establish effective communications between different hospitals and greatly make data sharing, efficient and low cost. Standardization can hugely affect medical errors. Interoperability provides hospitals to share across many channels and help Health care workers to detect discrepancies easily. Lives that are lost due to human error in the health care system can be minimized or even completely avoided. The number of hospitals using interoperable standards is still low and we hope that this paper will help make a change towards following the standard.

scholarly journals Design and Implementation of Automated Cart for COVID-19 Patients Treatment

2021 ◽  
Vol 1 (4) ◽  
pp. 1-5
Author(s):  
Prakash Kanade ◽  
Fortune David ◽  
Sunay Kanade
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Low Cost ◽  
Rapid Change ◽  
Obstacle Detection ◽  
The Body ◽  
Infrared Sensors ◽  
Medical Environment ◽  
Health Community ◽  
Care Workers

With the recent changes in this world due to the pandemic of COVID-19 came the need to change in technology with medical environments. There were few robotic surgeries done in medical field, but the pandemic has put the Doctors and health care workers at risk. So there came a need for rapid change in medical environment to replace man with robots with the help of AI. In this paper a AGV also called as Automatic Guided Vehicle is designed for the benefit of health community. It can also be called as Automated Cart. The chances of health care worker getting affected from the patient in this COVID-19 is more due to the behavior of the novel Corona Virus Spread. Hence this Automated cart is designed in this paper which moves near the patient’s beds delivering medicines whenever needed in time and also collects waste from patients’ bed and returns to the necessary point. It is a line follower automated cart robot it makes use of certain sensors like infrared sensors and ultrasonic sensors. These sensors are used for route mapping and obstacle detection. This robot at the time of giving medicine to the patients’ bed and collecting waste, it also checks the body temperature and pulse rate of the patient and sends information to the doctor via internet. The adaptability of this robot with the patients depends on the preprogram done. A microcontroller is made use for this purpose. This automated cart can be designed and implemented with low cost and the risk of Doctors, health care workers is reduced.

scholarly journals Point of emission air filtration enhances protection of health care workers against skin contamination with virus aerosol

2021 ◽  
Author(s):  
Shane Anthony Landry ◽  
Dinesh Subedi ◽  
Martin Ian MacDonald ◽  
Samantha Dix ◽  
Donna Kutey ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
High Efficiency ◽  
Environmental Control ◽  
Low Cost ◽  
Personal Exposure ◽  
Air Filtration ◽  
Care Workers ◽  
Skin Contamination ◽  
Air Purifier

Rationale: We recently demonstrated that a patient hood with a high efficiency particulate air filter eliminates virus aerosol contamination when very large quantities of bacteriophage virus are aerosolised into a clinical room. While this containment method is relatively low cost, it is unclear whether similar efficacy can be achieved with lower cost/commercial grade air purifiers, or if such an approach protects healthcare workers against virus aerosol contamination. Method: A total of 109 (10 ml of 108) PhiX174 bacteriophages was nebulized into a sealed clinical room. Surface contamination was detected by settle plates left uncovered during exposure. A healthcare worker remained in the room, personal exposure was determined by skin swabs after exiting the room, following doffing of personal protective equipment (PPE). Four skin areas were swabbed: forearms/hands, neck, forehead, under N95 mask. Three conditions were tested, 1) hood with hospital grade air purifier (IQ Air Health Pro 250), 2) hood with commercial air purifier (Philips 1000i), and 3) control (no hood/air-purification). Findings: The control condition demonstrated extensive environmental and limited skin contamination underneath PPE, which was highest under an N95 mask. The commercial air purifier and hood provided environmental control of virus aerosol and almost zero skin contamination. In comparison, the hospital grade purifier provided complete environmental and skin contamination protection, despite a lower clean air filtration rate (240m3/hr vs 270m3/hr). Virus counts on plates and swabs were significantly lower for both air purifiers and across neck, forehead, and under the N95. There were no statistically significant differences in detected virus counts between air purifiers. Conclusion: This cheap and scalable method may be an effective way to reduce the spread of COVID-19 in hospitals by enhancing the effectiveness of PPE worn by health care workers who care for COVID-19 patients and who are exposed to virus aerosol.

scholarly journals Palpable Breast Lump Triage by Minimally Trained Operators in Mexico Using Computer-Assisted Diagnosis and Low-Cost Ultrasound

2018 ◽  
pp. 1-9 ◽  
Author(s):  
Susan M. Love ◽  
Wendie A. Berg ◽  
Christine Podilchuk ◽  
Ana Lilia López Aldrete ◽  
Aarón Patricio Gaxiola Mascareño ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Low Cost ◽  
Computer Assisted ◽  
Portable Ultrasound ◽  
Care Workers ◽  
Ultrasound System ◽  
Palpable Breast ◽  
Assisted Diagnosis ◽  
Breast Lumps

Purpose In low- to middle-income countries (LMICs), most breast cancers present as palpable lumps; however, most palpable lumps are benign. We have developed artificial intelligence–based computer-assisted diagnosis (CADx) for an existing low-cost portable ultrasound system to triage which lumps need further evaluation and which are clearly benign. This pilot study was conducted to demonstrate that this approach can be successfully used by minimally trained health care workers in an LMIC country. Patients and Methods We recruited and trained three nonradiologist health care workers to participate in an institutional review board–approved, Health Insurance Portability and Accountability Act–compliant pilot study in Jalisco, Mexico, to determine whether they could use portable ultrasound (GE Vscan Dual Probe) to acquire images of palpable breast lumps of adequate quality for accurate computer analysis. Images from 32 women with 32 breast masses were then analyzed with a triage-CADx system, generating an output of benign or suspicious (biopsy recommended). Triage-CADx outputs were compared with radiologist readings. Results The nonradiologists were able to acquire adequate images. Triage by the CADx software was as accurate as assessment by specialist radiologists, with two (100%) of two cancers considered suspicious and 30 (100%) of 30 benign lesions classified as benign. Conclusion A portable ultrasound system with CADx software can be successfully used by first-level health care workers to triage palpable breast lumps. These results open up the possibility of implementing practical, cost-effective triage of palpable breast lumps, ensuring that scarce resources can be dedicated to suspicious lesions requiring further workup.

Organizational Factors and Health Care Workers' Physical Safety

2013 ◽  
Author(s):  
Jane Lipscomb ◽  
Jeanne Geiger-Brown ◽  
Katherine McPhaul ◽  
Karen Calabro
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Organizational Factors ◽  
Care Workers
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