The Effectiveness of Hands-on Health Informatics Skills Exercises in the Multidisciplinary Smart Home Healthcare and Health Informatics Training Laboratories

Sapci, A Hasan; Sapci, Hasan

doi:10.4338/aci-2017-08-ra-0136

Cited by 11 publications

(7 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A Health Informatics Training Laboratory equipped with telepresence robots, patient monitoring devices, pulse oximeters, blood pressure monitors, radio-frequency identification (RFID) and temperature sensors, electrocardiogram (ECG) and other wireless devices to monitor falls and injuries, wandering and leaving home, sleeping disorders, vital signs, body weight, food intake and adherence to medication to provide role-specific informatics competencies was founded. 17 Telemedicine and home care training course design took place in this laboratory located in the Clinical Education and Simulation Laboratory (CESil Lab), which consists of four learning rooms that simulate a hospital setting and two computer rooms, from January 2017–May 2017. The course focused on teaching health informatics skills to use patient monitoring devices, transfer physiological data and train patients to use the equipment.…”

Section: Methodsmentioning

confidence: 99%

Digital continuous healthcare and disruptive medical technologies: m-Health and telemedicine skills training for data-driven healthcare

Sapci

2018

J Telemed Telecare

View full text Add to dashboard Cite

Introduction Disruptive medical technologies, wearable devices and new diagnostic solutions have been shaping the future of healthcare, and the health informatics skills gap has become a major problem for technology-centric healthcare applications. This study evaluated the relationships between a specific practical skills training method and students' confidence in using wireless monitoring devices along with the attitude towards technology adoption. Methods Six practical exercises were developed to provide health informatics technical skills to transfer medical information and display multi-channel biological signals. Two hundred and six undergraduate nursing students received a telemedicine and homecare training course. Their familiarity with various data formats and likelihood to recommend telemedicine and remote monitoring applications were measured. Results The skills training session changed students' attitudes towards remote patient monitoring, and the majority of students provided positive feedback about their confidence in using wireless monitoring devices after the training session. Students stated their plans to use the technology when they start practising and to educate their patients to promote the use of telemedicine. Conclusion We propose a skills training framework that covers (a) telemedicine, (b) m-Health and connected health,

show abstract

Section: Methodsmentioning

confidence: 99%

Digital continuous healthcare and disruptive medical technologies: m-Health and telemedicine skills training for data-driven healthcare

Sapci

2018

J Telemed Telecare

View full text Add to dashboard Cite

show abstract

“…An example of one of health informatics applications is an EMR, which is defined as "an electronic record related to patient health that enables healthcare organisations to create, collect and manage health information by using advanced capabilities and improving the accessibility of authorised health care providers and staff" [24]. Borycki et al [25] measured health informatics students' competencies in different aspects: information management, health science and management related to health informatics and the Canadian health system. The results showed that hands-on exposure to EMR systems improves participants' competencies and ability to reduce errors and information redundancies [25].…”

Section: Health Information Systems and Internship Programmentioning

confidence: 99%

“…Borycki et al [25] measured health informatics students' competencies in different aspects: information management, health science and management related to health informatics and the Canadian health system. The results showed that hands-on exposure to EMR systems improves participants' competencies and ability to reduce errors and information redundancies [25]. Also, Gibson et al [21] found that pharmacy student confidence and their navigation of EMR are improved using a simulated EMR.…”

Section: Health Information Systems and Internship Programmentioning

confidence: 99%

Internship Programs for Undergraduate Health Informatics Students in Saudi Arabia

Altuwayrib¹,

Win²

2019

Preprint

View full text Add to dashboard Cite

Background Internship program is one of the experiential learning methods that enable students to gain practicum experience and learn from specialised people. This type of learning is a professional gateway to integrate knowledge with practical application. This study defines the state of health informatics internship programs in Saudi Arabia and examines the difference between interns and graduated students’ perceptions about the experience of health informatics internship programs in Saudi hospitals. Methods An online survey was constructed and distributed to health informatics students through social media platforms and specialised groups. The sample size included 89 participants from different universities across Saudi Arabia regions. Results The findings indicate that the majority of participants believe that internship programs have a positive impact on students’ skills and provide students with non-monetary incentives. ANOVA analysis and t-test results indicated that there is no significance difference between the interns and graduates perceptions (p-value 0.495, alpha value 0.005) Conclusion Health informatics internship programs in the Kingdom should consider some aspects: the selection criteria of internship sites, the linkage between education outcomes and Saudi labour market needs, effective experiential learning methods, well-defined structure of health informatics internship program and competencies framework.

show abstract

“…Many chronic diseases, such as Chronic Obstructive Pulmonary Disease (COPD) [11], require the continuous monitoring of medical parameters such as heart rate (HR), respiratory rate (RR), blood oxygen saturation (SpO 2 ) [12]- [16]. Commercial products like Nonin Elite 3240 [5] iHealth PO3 [6] can acquire the heart rate, respiratory rate and oxygenation level with high accuracy and transfer these data to a remote host (phone or PC). Although these devices allow homemeasurement, both provide only an on-demand solution, and the user has to decide when to use them.…”

Section: Introductionmentioning

confidence: 99%

“…Also, commercial devices are available on the market to monitor the blood oxygenation level. Most of them are oximetry-based and look like a smart wristband worn on the wrist [5], [6]. In contrast to the previous academic works, the marked products exploit onboard processing to have an energy efficient device that can last a few days.…”

Section: Introductionmentioning

confidence: 99%

Self-Sustainable Smart Ring for Long-Term Monitoring of Blood Oxygenation

et al. 2019

View full text Add to dashboard Cite

Medical devices measure vital parameters such as pulse, respiration rate, and blood oxygenation, over periods of days or weeks in a continuous manner. Traditional systems only support such requirements in stationary applications where a constant power supply is available. Trends toward remote healthcare and telemedicine require wearable devices, able to provide similar functionalities in wireless mode. Miniaturized and thin form factors, desirable in wearable applications, set stringent constraints on the available power, and consequently on the accuracy and lifetime. Energy harvesting combined with low-power design and energy efficient processing can significantly extend the lifetime of wearable devices. This paper presents a wearable pulse oximeter assembled in a 3D ring-like geometry that achieves self-sustainability by exploiting efficient power management, solar energy harvesting, and ultra-low power processing in a multi-core microcontroller. The design strategy of combining onboard processing to monitor blood oxygenation and the transmission of only relevant information via a Bluetooth low-energy (BLE) interface, significantly reduces the overall energy consumption. Experimental results on the designed and developed prototype demonstrate that measuring the blood oxygenation once every minute with a sampling rate of 100 samples/s achieve accurate results at the daily energy consumption of 28 J including hourly BLE transmissions. The low-power design allows the system to be self-sustainable with just 64 min of sunlight per day or 12 hrs. of indoor home light. INDEX TERMS Wearable devices, energy harvesting, smart sensing, low power design, energy efficiency, self-sustaining.

show abstract

The Effectiveness of Hands-on Health Informatics Skills Exercises in the Multidisciplinary Smart Home Healthcare and Health Informatics Training Laboratories

Abstract: This study demonstrated that the multidisciplinary smart home healthcare and health informatics training laboratories and the hands-on exercises improved students' technology adoption rates and their self-confidence in using wireless patient monitoring devices.

Cited by 11 publications

References 27 publications

Digital continuous healthcare and disruptive medical technologies: m-Health and telemedicine skills training for data-driven healthcare

Digital continuous healthcare and disruptive medical technologies: m-Health and telemedicine skills training for data-driven healthcare

Internship Programs for Undergraduate Health Informatics Students in Saudi Arabia

Self-Sustainable Smart Ring for Long-Term Monitoring of Blood Oxygenation

Contact Info

Product

Resources

About