scholarly journals Medicare Professional

Author(s):  
Aparna Mete Sawant

Smartphones have hit every side and every house nowadays. As a result, people use useful smartphone apps to make their daily lives simpler. The number of smartphone apps relating to physical fitness and the goal of maintaining a healthy daily routine is increasing. In order to provide an accessible health care infrastructure, this paper focuses on designing a smartphone application. By using this app the users can get numerous features/benefits such as login or sign up, medicine reminder, nearest ambulance booking feature, doctor’s appointment, search for a specialist, separate medical folder for a patient. The application has two interfaces - Patient side and the Doctors side. The doctor side has features like the- My Patients, Appointments, Profile, Patient’s Request, Doctors Calendar. The Patient’s side contains - a search doctors, medical folder, my doctors, patient’s profile and doctors appointment. Firebase is used as the backend with Authentication for email and password whereas the real time database is used to keep the track of the ambulance which takes latitude and longitude as parameters.

2018 ◽  
Vol 20 (2) ◽  
pp. 190-196 ◽  
Author(s):  
Elmer Jeto Gomes Ataide ◽  
Rajesh Kumar Sinha ◽  
G. Arun Maiya

Diabetes occurs when the pancreas in the human body does not secrete sufficient insulin. It is a disease that is growing rapidly and affecting many lives. Hence, it needs constant monitoring. Wearable devices are those devices that are present on your person at all times. If the monitoring of this disease could be paired with wearable devices along with enabling real-time documentation in the patients’ medical records, it would benefit both the caregivers and the patients by saving time, money, effort and the amount of work put in by both during the health care process, hence, aiding in the delivery of quality health care. This article deals with identifying the existing wearable devices in detecting diabetes or risk of diabetes non-invasively and further scope of research in the respective area.


2016 ◽  
Vol 2 (6) ◽  
pp. 356-364 ◽  
Author(s):  
Karen E. Yeates ◽  
Jessica Sleeth ◽  
Wilma Hopman ◽  
Ophira Ginsburg ◽  
Katharine Heus ◽  
...  

Purpose Almost nine of 10 deaths resulting from cervical cancer occur in low-income countries. Visual inspection under acetic acid (VIA) is an evidence-based, cost-effective approach to cervical cancer screening (CCS), but challenges to effective implementation include health provider training costs, provider turnover, and skills retention. We hypothesized that a smartphone camera and use of cervical image transfer for real-time mentorship by experts located distantly across a closed user group through a commercially available smartphone application would be both feasible and effective in enhancing VIA skills among CCS providers in Tanzania. Methods We trained five nonphysician providers in semirural Tanzania to perform VIA enhanced by smartphone cervicography with real-time trainee support from regional experts. Deidentified images were sent through a free smartphone application on the available mobile telephone networks. Our primary outcomes were feasibility of using a smartphone camera to perform smartphone-enhanced VIA and level of agreement in diagnosis between the trainee and expert reviewer over time. Results Trainees screened 1,072 eligible women using our methodology. Within 1 month of training, the agreement rate between trainees and expert reviewers was 96.8%. Providers received a response from expert reviewers within 1 to 5 minutes 48.4% of the time, and more than 60% of the time, feedback was provided by regional expert reviewers in less than 10 minutes. Conclusion Our method was found to be feasible and effective in increasing health care workers’ skills and accuracy. This method holds promise for improved quality of VIA-based CCS programs among health care providers in low-income countries.


2007 ◽  
Vol 30 (4) ◽  
pp. 51 ◽  
Author(s):  
A. Baranchuk ◽  
G. Dagnone ◽  
P. Fowler ◽  
M. N. Harrison ◽  
L. Lisnevskaia ◽  
...  

Electrocardiography (ECG) interpretation is an essential skill for physicians as well as for many other health care professionals. Continuing education is necessary to maintain these skills. The process of teaching and learning ECG interpretation is complex and involves both deductive mechanisms and recognition of patterns for different clinical situations (“pattern recognition”). The successful methodologies of interactive sessions and real time problem based learning have never been evaluated with a long distance education model. To evaluate the efficacy of broadcasting ECG rounds to different hospitals in the Southeastern Ontario region; to perform qualitative research to determine the impact of this methodology in developing and maintaining skills in ECG interpretation. ECG rounds are held weekly at Kingston General Hospital and will be transmitted live to Napanee, Belleville, Oshawa, Peterborough and Brockville. The teaching methodology is based on real ECG cases. The audience is invited to analyze the ECG case and the coordinator will introduce comments to guide the case through the proper algorithm. Final interpretation will be achieved emphasizing the deductive process and the relevance of each case. An evaluation will be filled out by each participant at the end of each session. Videoconferencing works through a vast array of internet LANs, WANs, ISDN phone lines, routers, switches, firewalls and Codecs (Coder/Decoder) and bridges. A videoconference Codec takes the analog audio and video signal codes and compresses it into a digital signal and transmits that digital signal to another Codec where the signal is decompressed and retranslated back into analog video and audio. This compression and decompression allows large amounts of data to be transferred across a network at close to real time (384 kbps with 30 frames of video per second). Videoconferencing communication works on voice activation so whichever site is speaking has the floor and is seen by all the participating sites. A continuous presence mode allows each site to have the same visual and audio involvement as the host site. A bridged multipoint can connect between 8 and 12 sites simultaneously. This innovative methodology for teaching ECG will facilitate access to developing and maintaining skills in ECG interpretation for a large number of health care providers. Bertsch TF, Callas PW, Rubin A. Effectiveness of lectures attended via interactive video conferencing versus in-person in preparing third-year internal medicine clerkship students for clinical practice examinations. Teach Learn Med 2007; 19(1):4-8. Yellowlees PM, Hogarth M, Hilty DM. The importance of distributed broadband networks to academic biomedical research and education programs. Acad Psychaitry 2006;30:451-455


Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3956
Author(s):  
Youngsun Kong ◽  
Hugo F. Posada-Quintero ◽  
Ki H. Chon

The subjectiveness of pain can lead to inaccurate prescribing of pain medication, which can exacerbate drug addiction and overdose. Given that pain is often experienced in patients’ homes, there is an urgent need for ambulatory devices that can quantify pain in real-time. We implemented three time- and frequency-domain electrodermal activity (EDA) indices in our smartphone application that collects EDA signals using a wrist-worn device. We then evaluated our computational algorithms using thermal grill data from ten subjects. The thermal grill delivered a level of pain that was calibrated for each subject to be 8 out of 10 on a visual analog scale (VAS). Furthermore, we simulated the real-time processing of the smartphone application using a dataset pre-collected from another group of fifteen subjects who underwent pain stimulation using electrical pulses, which elicited a VAS pain score level 7 out of 10. All EDA features showed significant difference between painless and pain segments, termed for the 5-s segments before and after each pain stimulus. Random forest showed the highest accuracy in detecting pain, 81.5%, with 78.9% sensitivity and 84.2% specificity with leave-one-subject-out cross-validation approach. Our results show the potential of a smartphone application to provide near real-time objective pain detection.


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