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MedTech Outlook | Monday, June 12, 2023
Wound assessment with artificial intelligence can help clinicians save time and deliver better patient care. Due to the scarcity of trained wound care professionals, AI-based apps can help patients gain access to specialised wound treatment by connecting them with skilled wound care experts.
FREMONT, CA: The health care system has lately adopted electronic medical records or EMRs. This has made patient information more easily accessible. Medical professionals can easily access data through EMR systems that give them vital information about a patient's health status and outlook. As a result, there is an increase in demand for software that uses artificial intelligence to forecast and enhance patient outcomes.
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Wound care specialists are constantly looking into how AI might play a part in improving and predicting patient outcomes as a result of ongoing technological advancements.
At the patient's bedside at long-term care institutions, wound care experts send out licensed, certified healthcare specialists (physicians, surgeons, physician assistants, and nurse practitioners) to provide advanced surgical wound consultation and treatment services. The speciality-trained healthcare professionals offer wound care expertise, create treatment plans, consult on and direct patient care, and educate nursing staff on the job.
Healthcare professionals' interest in AI's potential role in the healthcare sector has developed as a result of the accessibility of vast volumes of clinical data and strong programming.
Additionally, AI-based technology can provide clinicians with critical diagnostic data that will aid in the development of specialised treatment regimens. This is made possible by the pattern analysis and recognition capabilities of AI-based software. Critical clinical data that would not have been obvious previously can now be recognised. AI innovations can also reduce healthcare expenses by increasing productivity. Deep learning and AI are already being used more and more in the interpretation of medical images, and it is anticipated that these technologies will spread to other areas of medicine as well.
Wound Care and Artificial Intelligence
Chronic wounds are on the rise overall as a result of the ageing population. The majority of wound care is provided in an outpatient setting, while some patients may require inpatient care. Through prediction and assessment, telemedicine and AI-based software can be crucial in delivering continuous care to the community. Using this technology will also make it possible for more patients to communicate with qualified wound care specialists.
AI and telemedicine enable patients and their carers to take images of their chronic wounds using smartphones with camera apps, which are subsequently used in wound assessment and management. These photos can also be instantly shared through an app that enables clinicians to assess the photographs in real time. As a result, wound care doctors would be able to keep tabs on the condition of their patient's chronic wounds even when they are unable to visit the clinic.
The accessibility of telemedicine is important since some patients with chronic wounds may be bedridden and unable to contact their doctor in person. These patients would find it challenging to access essential healthcare systems without an app. Given these elements, telemedicine and artificial intelligence (AI) have enormous potential to transform the way patients get wound treatment. It can enable greater health equity, increase efficiency, and reduce costs.
Using Artificial Intelligence in Wound Healing Prediction
Even while wound imaging and documentation can give clinicians useful information on how wounds are healing, the evaluation of wounds can be irrational. This is due to the fact that several variables, such as image quality, the clinician's background, and camera angle, might affect wound assessment. Thus, AI-based software that can reliably forecast the healing of chronic wounds and offer unbiased information on wound assessment would be a useful tool for clinicians. It will make it easier to get rid of subjective biases and give a better assessment of how wounds heal.
A rising number of people are interested in utilising AI to simulate wound healing. For instance, there is an AI model used to forecast chronic wound healing within 12 weeks. An evaluation found that the AI model could forecast wound healing with respectable degrees of accuracy. Furthermore, the model showed that wound features rather than patient demographics were better indicators of recovery. Another assessment revealed encouraging outcomes when using artificial intelligence to forecast pressure ulcers.
Artificial intelligence is not only demonstrating promising results in wound healing prediction, but it may also develop into a useful tool for wound assessment. Intelligence software has great promise for supplying precise information on wound assessment compared to subjectively determined manual measurements of wound size and tissue changes. By eliminating observer bias, computer-based image analysis can dramatically enhance wound assessment. In turn, this will enhance the effectiveness of wound treatment and patient satisfaction.
The application of artificial intelligence in healthcare is inevitable as software technology develops. It is anticipated that the routine use of AI and AI-based apps for wound assessment will shape the future of wound care. The pandemic has already caused telemedicine to gain a great deal of popularity. The importance of telemedicine and AI-based apps is expected to increase over time. Clinicians can save time and deliver better patient care by using artificial intelligence-based wound assessment. AI-based apps can also assist in extending patients' access to specialised wound care by linking them with knowledgeable wound care specialists, which is important given the dearth of educated wound care specialists.
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