Day 1 :
Keynote Forum
Andriy Hospodarskyy
Horbachevskyy Ternopil National Medical University, Ukraine
Keynote: Application of physiotherapy methods with machine learning for patients with injuries of the lower extremities
Biography:
Andriy Hospodarskyy has completed his PhD at the age of 27 years from Ternopil Medical University and postdoctoral studies from Lviv Medical University. He is the associate professor of general surgery department. He has published more than 90 papers in reputed journals. He is co-author of two books on surgery for medical student He was invited as a speaker of several International Congresses of American Telemedicine Association
Abstract:
The use of artificial intelligence (AI) has a major role in the implementation of telemedicine technology. The overarching theme of this paper is to discuss implementation of the telemedicine technology with machine learning algorithm for rehabilitation of patients with injuries of the lower extremities.
A total of 148 subjects with lower extremity injuries were enrolled in the study. 52 patients from the control group underwent traditional rehabilitation procedures. A total of 96 subjects were enrolled in the telerehabilitation group and were trained with a set of exercises. Home remote monitoring for the 96 test subjects included use of Prototype device with Axis-sensor, temperature. Based on the machine learning algorithm, rehabilitation doctor created an individualized rehabilitation plan for each subject, containing an activity plan.
Subjects reported a higher satisfaction with telerehabilitation with machine learning algorithm than with the traditional orthopedic rehabilitation due to the fact that they spent less time at the hospital and had more time for exercises at home under orthopedic remote monitoring. The telerehabilitation system with machine learning algorithm can be used in complex rehabilitation of patients with injuries of the lower extremities.
Telemedicine was able to catch up with the trends in using artificial intelligence but there are still some challenges to be solved. The implementation of these researches will be the most important contribution, which is why it is also important to begin researching on how this technology can be made more cost effective so it can be used in rural areas and underdeveloped hospital facilities
- Health Informatics Management
Location: Webinar
Session Introduction
Aashish Kaushal
Sr. operational Head , India
Title: AarogyaPath :- National Health Care Supply Chain Management
Biography:
Abstract:
Aarogyapath, a web-based solution for the healthcare supply chain that provides real-time availability of critical supplies launched.
- This public platform will help healthcare users like hospitals, pathology laboratories, research institutes, medical colleges and patients.
- This national healthcare supply chain portal will remove supply chain bottlenecks during the Covid-19 pandemic.
- The vision of this initiative is to set up an information management and forecasting database platform at national level. It will capture demand and supply scenarios for key healthcare needs items.
- This public platform can help customers in tackling a number of routinely experienced issues like dependence on limited suppliers, time-consuming processes to identify good quality products, limited access to suppliers etc.
- It also helps to reduce the Black Marketing of medical equipment & products, Unstandardized Medical product prices.
- It’s the single platform of all medical suppliers & buyers for any announcement/feedback etc.
- It will also help the manufacturers and suppliers to reach customers efficiently like nearby pathological laboratories, medical stores, hospitals, etc.
- It will also create opportunities for business expansion due to an expanded slate of buyers and visibility of new requirements for products.
- It also helps to fill a critical gap in last-mile delivery of patient care within India through improved availability and affordability of healthcare supplies.
M M H Jayasekara
University of Sri Jayewardenepura, Sri Lanka
Title: Informed consent for patient data processing in electronic health records
Biography:
Abstract:
To report the results of a systematic review of national eHealth policies of different countries in relation to patient consent in patient data processing in electronic health records
Method : eHealth policies of 19 (14.07%) countries are reviewed with regard to patient consent, from a total of 135 countries that are indexed in the World Health Organization Directory of eHealth Policies. 68 (50.37%) policies were excluded based on language and 67 policies in English were selected for further consideration. These 67 (49.62%) policies were further evaluated resulting in exclusion of 43 (31.85%) policies due to policies being outdated and 5 (3.70%) due to broken links. Finally, a total of 19 (14.07%) countries were selected for the review.
Results : 57.89% out of 19 countries require patients’ informed consent to store patient data, 26.32% allow selective storage of patient data as defined by the patient, 89.47% require patients’ informed consent when sharing or transferring or accessing patient data, 68.42% of the countries allow patients access their own EHR, 73.68% facilitate correction/modification in EHR, and 26.32% facilitate deletion of patient records. 89.47% of countries highlight mechanisms to assure privacy and security of EHR.
Conclusion : Policymakers’ emphasis on various ethical concerns raised by EHRs has been increased highlighting patient rights related to eHealth as well as the requirement for compliance to different standards and regulations. eHealth policies must address requiring patients’ informed consent in processing of patient data whereas patients have the ability to grant or withhold consent to different processing operations related to their EHR. Furthermore, facilitating patients with access to their own records, facilitating patients with modification, correction and deletion of EHR are widely discussed topics.