Artificial Intelligence
Technological advancements have and will continue to affect many industries including health care. The healthcare system faces a myriad of challenges such as the shortage of healthcare providers, the inability to manage the problems of patients in their entirety, and increased costs. Even though advancements have occurred in the healthcare industry, it continues to experience challenges in meeting the needs of patients. The emergence of artificial intelligence which is being continuously improved is the most significant solution that will help in addressing the issues faced by the healthcare system. Innovators in the field of technology develop computers that have intelligent programs which use algorithms to mimic the cognition of human health care providers in analyzing complex medical data (Loh 59). Thus, it has the potential to revolutionize the entire practice of healthcare delivery, and for this reason, industry stakeholders must consider incorporating it into every aspect of the healthcare sector. Empirical evidence demonstrates that artificial intelligence improves healthcare as a whole; the available information on artificial intelligence reveals that it can transform the future healthcare system and improve stroke management, data management, and collaborative efforts despite the challenges that may occur in the process.
Empirical Evidence Of Healthcare Improvement By Artificial Intelligence
Artificial intelligence has transformed various sectors such as the car manufacturing industry, and therefore, it can influence the healthcare sector as well. Evidence shows that robots have a strong impact on many industries globally. For example, in the car manufacturing sector, robots have played a significant role in enhancing work productivity (Cresswell et al. 1). Moreover, they have increased work efficiency and improved customer responsiveness (Cresswell et al. 1). Therefore, integrating robots have into the field of healthcare can help in boost problem-solving regarding the issues that patients, healthcare providers, stakeholders face.
In the field of healthcare, healthcare providers have to advance their academic credentials to ensure the efficiency and competency of their work, and artificial intelligence can help them in the process. For example, many nurses continue higher education to ensure that they acquire significant skills that can help them to improve healthcare delivery. Many health care providers are also encouraged to use available evidence to boost the quality of their services. The robots, which belong to the artificial intelligence industry, are intelligent and can mimic the actions of qualified healthcare professionals (Cresswell et al. 1). Therefore, although the current healthcare system may experience problems that present challenges to healthcare providers, patients, and stakeholders, collaborating with robots can contribute immensely to the efficiency of service delivery.
Patient safety and patient harm. Artificial intelligence can enhance patient safety if it is implemented appropriately. Researchers have recognized the crucial importance of artificial intelligence, namely robotics, to ensure that patients suffer from harm when they seek health services. For example, in a study conducted by Cresswell et al., healthcare providers expressed their confidence in the improvement of patient safety with the latest technologies if they are developed further (1). The researchers interviewed various healthcare providers who had first-hand experience with patient care and understood the function and contribution of robots to the healthcare system (Cresswell et al., 1). The participants in the research noticed that there was a significant opportunity to ensure patient safety. This consideration is vital since many patients in healthcare settings continue to experience a myriad of problems, particularly those related to safety. For example, some patients may receive health services without any problems, but when they are admitted to the hospital units, they may have limited care that may result in falls. Additionally, some patients often develop infections when they are in healthcare settings that are supposed to guarantee positive outcomes for each patient. The reasons for patients’ negative experiences include the shortage of staff and the lack of understanding of interventions that can reduce injuries. In this case, robotics with artificial intelligence can be improved to help in recognizing the risks of harm and in implementing interventions that can help to reduce such instances.
Artificial Intelligence In The Diagnosis And Management Of Illnesses
Several other researchers have gathered reliable evidence on how artificial intelligence can improve healthcare in different aspects, including medical diagnosis, management of psychiatric illnesses, and the implementation of general treatments. Regarding medical diagnoses, healthcare providers have experienced challenges in identifying patient problems correctly. For example, many patients have been misdiagnosed thus leading to the implementation of inappropriate interventions. During the treatment, health care providers can perform medication errors that cause patient harm. Artificial intelligence can solve this problem by identifying the correct diagnosis and treatment. For instance, artificial intelligence, when compared to individual ophthalmologists, has been used to detect congenital cataracts correctly (Loh 60). The correct identification of illnesses is a clear demonstration that artificial intelligence can improve the efficiency of healthcare delivery, especially when dealing only with disease identification and treatment.
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Management of psychiatric illnesses. Artificial intelligence can also help in the diagnosis and management of mental health problems. For example, in one study, researchers used this technology to diagnose the symptoms of schizophrenia correctly (Loh 60). The whole-brain functional magnetic resonance imaging helped health care providers to achieve 74% accuracy (Loh 60). Moreover, the same technology has been used to identify bipolar disorders with 90% accuracy. Consequently, technologies allow the prediction of mental health problems that do not have a clear biomarker. Many health care providers may experience challenges in diagnosing mental health issues in the future, but artificial intelligence will minimize the challenges. The evidence of artificial intelligence in mental health shows how it can help in improving the recognition and management of psychiatric illnesses.
Treatment of general health problems. The increased efficacy of artificial intelligence in diagnosing medical problems is an indication that it can help in administering the most appropriate treatments. For example, robots that have artificial intelligence have been recognizing the symptoms of certain diseases thus helping health care providers to identify treatments correctly (Loh 60). For example, robots can use neural networks to provide treatment decisions for congenital cataracts (Loh 60). Thus, health care providers can use it to make the right treatment choices.
Some disorders require surgery for patients to recover completely. Currently, robotic surgical devices exist and are useful in performing surgical operations (Loh 60). Although most robots require human control, a study conducted in 2016 revealed that smart robots could stitch a person on their own without human control. Moreover, they performed better than humans. In China, one robot equipped with artificial intelligence inserted two new teeth in the mouth of a human “without human control” (Loh 60). This evidence shows that artificial intelligence can help in solving the problem of the shortage of healthcare providers in the healthcare system, especially when it is related to the treatment of diseases.
Stroke Management
The diagnosis and treatment of stroke have been a challenge, but healthcare providers can now use artificial intelligence to manage the problem. In most cases, stroke is caused by a thrombus, which can potentially lead to brain cell death (Jiang 11). Identification of the thrombus is a challenge, and for this reason, healthcare providers cannot diagnose stroke correctly, especially when it does not have any symptoms (Jiang 11). This assertion shows that most patients with stroke often receive late treatment, which may be inadequate and can lead to complications. Innovators in health care, especially those dealing with artificial intelligence, have developed “movement-detecting machines” that can predict the occurrence of stroke (Jiang 11). Some technologies with artificial intelligence can also identify stroke to assist health care providers in giving appropriate treatments (Jiang 11). Therefore, artificial intelligence can and will contribute immensely to the diagnosis of cardiovascular health problems.
Treatment. Health care providers can find solutions to the current challenges in stroke treatment by using artificial intelligence. Nowadays, they use medications and appropriate nonpharmacological measures to manage the problem, but they have difficulties in predicting the outcome of the treatment process. This technology can help them to predict the performance of treatment and the overall health outcomes of patients (Jiang 11). For example, in one study, researchers used artificial intelligence technology to identify whether patients on intravenous thrombolysis therapy would develop symptomatic intracranial hemorrhage. The researchers noticed that the technology predicted the problem better than conventional radiology-based methods (Jiang 11). Therefore, although the current measures of managing stroke are efficient, healthcare providers can consider using artificial intelligence in managing stroke and other cardiovascular problems.
Healthcare Data Management
Artificial intelligence can help in managing data during nursing care. When nurses manage patients, they have to document all the interventions that they implement. The recorded information is significant in ensuring the accountability of patient care. The data can only be useful when nurses make references to identify whether a particular intervention was implemented. However, artificial intelligence is helpful in not only recognizing the data but also in analyzing it and making solid conclusions (Sensmeier, 14). Therefore, combining the knowledge and experience of nurses with the power of artificial intelligence can assist in sound decision-making that can improve patient care significantly.
Artificial intelligence can manage information in health facilities. Healthcare facilities should gather patient care data that can assist in planning how to improve healthcare delivery in general. For example, if hospitals can determine the length of patient stay, they can implement measures for facilitating recovery and reducing the amount of time that patients stay in hospitals. Artificial intelligence is crucial in such cases as it can predict the length of hospital stay for many patients (Sensmeier 14). Moreover, the healthcare system may need data on patient safety to identify the measures for eliminating patient harm. Artificial intelligence has been useful in detecting threats to patient safety such as the occurrence of hospital-acquired infections (Sensmeier 14). For these reasons, healthcare facilities can consider using artificial intelligence in managing healthcare data to improve overall patient care in clinical environments.
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On-time delivery of an already written essayCollaboration And Overall Healthcare Improvement
The collaboration between artificial intelligence technologies and healthcare providers is one of the most significant strategies that can enhance overall healthcare delivery. A considerable number of research studies have documented the importance of collaboration in improving patient care. In the collaborative process, health care providers combine their skills, which enable them to address inadequacies and improve overall patient care. Modern artificial intelligence technologies ensure the production of machines that can not only diagnose patients but also predict treatment outcomes (Loh 60). Health care providers can interact with the machines to identify problems that patients have intending to identify correct treatments. In the current era where health professionals, especially nurses, are using evidence-based care to manage patients, artificial intelligence will allow nurses to avoid cases of misdiagnosis and medication errors.
Collaboration between artificial intelligence technologies with nurses can improve clinical knowledge of nurses. Computers with artificial intelligence can analyze large data and predict the outcome of a given intervention (Sensmeier 14). When examining the predictive data, nurses can gain new clinical knowledge about the future outcome of a given population. Moreover, artificial intelligence can suggest treatments that can help in managing some clinical issues (Sensmeier 14). In this case, it can assist nurses with taking reliable therapeutic measures which they can use to prepare for future emergencies. Considerably, artificial intelligence is useful in allowing health professionals to understand current and future problems so that they can adjust their activities to prevent adverse outcomes.
Challenges Associated With Artificial Intelligence And Possible Solutions
Although artificial intelligence has been improving the healthcare sector, it has some problems that must be addressed to avoid problems with patient care. For example, robots equipped with artificial intelligence to aid in patient care have negative publicity; the reaction might result from the size and appearance of robots (Erikson 2). Therefore, there may be a lack of acceptance among health care providers and patients. A solution to this problem should focus on sensitizing people to the successes and potential benefits of artificial intelligence. Moreover, robots running on artificial intelligence may not be able to comply with the code of ethics (Cresswell 1). They may also not be able to deal with legal problems (1). Thus, proper consideration of patient protection must be taken before implementing artificial intelligence as a norm in healthcare.
Conclusion
In the current world with an increasing population and a looming shortage of health care professionals, artificial intelligence can manage the health problems of patients. Robots are the technological assistive aid that can assist in ensuring that patients have the needed healthcare. Computers equipped with artificial intelligence can analyze patient data, make correct diagnoses and recommend appropriate treatments. Most importantly, artificial intelligence technologies can predict the future of healthcare in tandem with health professionals to enhance healthcare delivery. Therefore, although some challenges exist, the healthcare system must consider investing in this technology to improve patient care.
