The use of computer technology in combination with telecommunication in healthcare has improved over the past couple of decades worldwide. The major applications of information systems (Health Information Technology, HIT) in healthcare include but are not limited to electronic healthcare records (EHRs), telehealth & telemedicine, wearable devices, machine learning and artificial intelligence, nano-medicine, personalized medicine, genome-based medicine, and patient portals. These trends have evolved from previous methods of healthcare information, management and practice systems.
In my healthcare organization, the recording, storage, and retrieval of patients’ personal health records have improved from paper-based to electronic and hybrid health records. The process of monitoring the patient vitals has evolved with time such that the use of wearable devices has been more common and the use of portable monitors is so frequent as opposed to non-portable monitors.
Clinicians frequently use smartphones and tablets to retrieve patient information and search the latest information related to health practice from internet sources. These trends in medical technology are concerned with data and information manipulation and usage in my health organization. Their application in healthcare has potential challenges and risks that if not regulated may interfere with patient care safety and efficiency.
Arguably, the modern ways of storing and retrieving patient information are associated with improved patient care efficiencies. There is increased portability of patient data that reduces the retrieval time (Symons et al., 2019). The usage of portable computers such as tablets makes data retrieval easy and possible anywhere within the practice. Most importantly, at the beside, clinicians can find the patient’s data regarding updated care and medications given so far (Dykes et al., 2017). Searching in the electronic databases for essential drug information can reduce the chances of adverse drug reactions due to drug-drug interactions.
However, the process of retrieving can be so easy that it can be applied inappropriately and this can jeopardize patient data safety and security (McGonigle & Mastrian, 2017). The sharing of patient information on social media can violate patient data confidentiality and privacy if not well regulated. Patient data privacy and confidentiality entail limiting access to patient information to an authorized third party without their consent. Even though clinicians may share this data with non-malicious intentions, the access and usage of this data by the unauthorized third party may violate the confidentiality of the discussion between the clinician and the patient. These actions may put the clinician at risk of ethical and legal violations.
The most promising future trends in healthcare information technology are wearable devices and telehealth. The usage of portable computers such as smartphones in healthcare will revolutionize healthcare by reducing the patient-clinician barriers while minimizing the cost of care. Patients will be at liberty to access care from their residences and can choose the clinicians they would want to attend to them. Wearable devices such as wearable blood pressure monitors and ECG trackers will enhance remote patient monitoring in the setting of the increasing patient to nurse/doctor ratio (Rao-Gupta et al., 2018). By limiting the care barriers, these technologies will improve the quality of care by reducing the overall cost and increasing access to this affordable care.
Health information technology incorporates various electronic and information systems into healthcare practice. There are potential benefits, risks, and challenges that accompany their uses. The overall benefits include improvement in health care quality through a reduction in costs of healthcare and chances of medical errors. However, there are concerns over patient data safety and security that need to proper mitigation strategies. While the promising trends in healthcare such as wearable devices and telemedicine would improve the quality, they may fail to address the ethical and safety concerns, hence the need for pragmatic interventions.
Throughout history, technological advancements have appeared for one purpose before finding applications elsewhere that lead to spikes in its usage and development. The internet, for example, was originally developed to share research before becoming a staple of work and entertainment. But technology—new and repurposed—will undoubtedly continue to be a driver of healthcare information. Informaticists often stay tuned to trends to monitor what the next new technology will be or how the next new idea for applying existing technology can benefit outcomes.
In this Discussion, you will reflect on your healthcare organization’s use of technology and offer a technology trend you observe in your environment.
To Prepare this NURS 6051 Discussion Healthcare Information Technology Trends:
By Day 3 of Week 6
Post a brief description of general healthcare technology trends, particularly related to data/information you have observed in use in your healthcare organization or nursing practice. Describe any potential challenges or risks that may be inherent in the technologies associated with these trends you described. Then, describe at least one potential benefit and one potential risk associated with data safety, legislation, and patient care for the technologies you described. Next, explain which healthcare technology trends you believe are most promising for impacting healthcare technology in nursing practice and explain why. Describe whether this promise will contribute to improvements in patient care outcomes, efficiencies, or data management. Be specific and provide examples.
By Day 6 of Week 6
Respond to at least two of your colleagues* on two different days, offering additional/alternative ideas regarding opportunities and risks related to the observations shared.
*Note: Throughout this program, your fellow students are referred to as colleagues.
Healthcare technology has been rapidly evolving, changing the way patient care is delivered and managed. The Internet of Things (IoT) refers to the network of interconnected devices and sensors that collect and exchange data through the Internet. One of the key trends in healthcare technology related to IoT is the use of wearable devices, such as fitness trackers, smartwatches, and biosensors, which helps monitor vital signs, activity levels, sleep patterns, and other health-related data of the patient (Kadhim et al., 2020). The resulting data is transmitted into EHR, allowing for remote patient monitoring and more personalized care.
In hospitals, IoT enables medical devices and equipment to be connected to a network, allowing for real-time data monitoring, maintenance, and inventory management (Kadhim et al., 2020). For example, smart infusion pumps can track medication administration, alert nurses of any errors, and automatically update patient records. IoT also plays a crucial role in improving medication adherence and patient safety. Smart pill dispensers can remind patients to take their medications and provide alerts to caregivers or healthcare providers if doses are missed (Adhikary et al., 2020).
Additionally, RFID (Radio Frequency Identification) technology can be used to track and manage medication inventory, reducing errors and ensuring accurate medication administration. In terms of data management and analytics, IoT generates health data that can be utilized for insights and decision-making. For example, wearable devices combined with AI algorithms can detect early warning signs of certain medical conditions, enabling timely interventions and preventive measures, according to Wang and Hsu (2023).
IoT provides improved patient outcomes through remote monitoring and proactive interventions. IoT devices enable real-time collection and transmission of patient health data, allowing healthcare providers to monitor patients remotely. This continuous monitoring can lead to early detection of health issues or changes in conditions, enabling timely interventions and improved patient outcomes (Adhikary et al., 2020). For example, wearable devices can track vital signs, detect abnormalities, and alert healthcare professionals to potential emergencies, reducing hospital readmissions and improving overall patient care.
On the other hand, a potential risk associated with data safety, legislation, and patient care in IoT technologies is the potential for data breaches and privacy violations (Chernyshev et al., 2018). The vast amount of personal health information collected and transmitted by IoT devices increases the risk of unauthorized access or cyberattacks. If healthcare data falls into the wrong hands, it can lead to identity theft, fraud, or misuse of sensitive information. Additionally, the sharing and integration of patient data from multiple IoT devices may raise concerns about patient privacy and consent. Ensuring robust data security measures, adherence to privacy regulations, and transparent data governance practices are crucial to mitigate these risks and maintain patient trust in the use of IoT technologies in healthcare.
Telehealth allows nurses to deliver care remotely through video consultations, remote monitoring, and digital communication tools. This trend has the potential to greatly impact nursing practice by enabling nurses to provide virtual care, monitor patients remotely, and engage in telehealth consultations. This contributes to improved patient care outcomes by increasing access to healthcare, reducing hospital readmissions, and enhancing patient satisfaction (Steingass & Maloney-Newton, 2020). For example, nurses can remotely monitor patients with chronic conditions, such as diabetes or hypertension, by reviewing their vital signs, symptoms, and medication adherence. By identifying any concerning trends or issues early on, nurses can intervene promptly and prevent complications.
Electronic Health Records (EHRs) and Clinical Decision Support Systems (CDSS) adoption has transformed nursing practice by streamlining documentation, facilitating care coordination, and enhancing decision-making. EHRs provide a centralized platform for storing and accessing patient data, allowing nurses to access comprehensive patient information in real time. CDSS utilizes data within the EHR to provide evidence-based recommendations, alerts, and reminders to healthcare providers at the point of care (Gaughan et al., 2022). This improves patient care outcomes by reducing errors, promoting adherence to best practices, and enabling standardized care across healthcare settings. For instance, CDSS can alert nurses to potential medication interactions or allergies, helping to prevent adverse drug events.
Abu Bakar, N. A., Wan Ramli, W. M., & Hassan, N. H. (2019). The Internet of Things in healthcare: An overview, challenges and model plan for security risks management process. Indonesian Journal of Electrical Engineering and Computer Science, 15(1), 414. https://doi.org/10.11591/ijeecs.v15.i1.pp414-420
Adhikary, T., Jana, A. D., Chakrabarty, A., & Jana, S. K. (2020). The internet of things (IoT) augmentation in healthcare: An application analytics. In ICICCT 2019 – System Reliability, Quality Control, Safety, Maintenance and Management (pp. 576–583). Springer Singapore. https://doi.org/10.1007/978-981-13-8461-5_66
Chernyshev, M., Zeadally, S., & Baig, Z. (2019). Healthcare data breaches: Implications for digital forensic readiness. Journal of Medical Systems, 43(1), 7. https://doi.org/10.1007/s10916-018-1123-2
Gaughan, M. R., Kwon, M., Park, E., & Jungquist, C. (2022). Nurses’ experience and perception of technology use in practice: A qualitative study using an extended technology acceptance model: A qualitative study using an extended technology acceptance model. Computers, Informatics, Nursing: CIN, 40(7), 478–486. https://doi.org/10.1097/CIN.0000000000000850
Kadhim, K. T., Alsahlany, A. M., Wadi, S. M., & Kadhum, H. T. (2020). An overview of patient’s health status monitoring system based on internet of things (IoT). Wireless Personal Communications, 114(3), 2235–2262. https://doi.org/10.1007/s11277-020-07474-0
Steingass, S. K., & Maloney-Newton, S. (2020). Telehealth triage and oncology nursing practice. Seminars in Oncology Nursing, 36(3), 151019. https://doi.org/10.1016/j.soncn.2020.151019
Wang, W.-H., & Hsu, W.-S. (2023). Integrating artificial intelligence and wearable IoT system in long-term care environments. Sensors (Basel, Switzerland), 23(13), 5913. https://doi.org/10.3390/s23135913
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