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TRENDS & FUTURE DIRECTION IN HEALTHCARE SERVICES

  • Mona Hyder
  • Dec 6, 2020
  • 6 min read

Updated: Dec 8, 2020


Figure-1


INTRODUCTION


With the turn of the century, there has been a dramatic change in technology that is evolving at an exponential rate. We are seeing a rapid, emerging trend of use of technology in every field of life, especially in healthcare. Digital health tools are creeping very swiftly in our lives. Healthcare organizations need to quickly acquire and adapt to this fast-evolving technology. Although the road towards digitalization is long and full of twists and turns on unchartered grounds, as healthcare leaders, we must start preparing in order to mitigate its impact as much as possible. COVID-19 has pushed us further in adapting to new social norms and exploring new innovative ways to provide health care services.


Some of the latest trends that I will be discussing in my blog are eHealth, telemedicine, and artificial intelligence (AI) in healthcare. I will be discussing their benefits and some challenges associated with these technologies.


eHealth

eHealth or digital health is a growing trend in the field of health sciences that is believed to have changed the future of health care. It integrates information and communication technologies (ICT) to optimize clinical and non-clinical administrative services that deliver high quality patient-centric care. eHealth has a broader scoop, it improves access to health care for patients, provides training, and raises awareness to improve health outcomes.



Benefits

eHealth services extend beyond geographical boundaries. Services can be delivered to people in rural and remote areas, thus saving time, money, and precious lives. This technology raises awareness as it provides patients with more information about their own health. The outreach of preventive health services and programs for the vulnerable population has unlimited benefits. eHealth data collection can inform policy makers and health service providers on how to design better programs and intervention strategies.

Barriers

1- Lack of interest and lack of resources in building the ICT infrastructure and the necessary hardware and software.

2- Absence of clear vision from the healthcare leadership.

3- Lack of experienced personals who are qualified in the field of medical information technology.

4- Inadequate laws and legislations regarding the complexities and provisions of eHealth services.

5- Lack of cooperation and coordination between different sectors of health care.


Telemedicine

Telemedicine is also referred to as “remote treatment”. It is the sole delivery of health care services to patients virtually using secure video and audio connections.

Benefits

It reduces the healthcare costs and minimizes patient no shows as they don’t have to travel long distances for their appointments. It is convenient, saves time and is flexible, patients can access care in the comfort of their own homes. Lessens the time off from work, and day care costs. The outreach of this type of healthcare service is tremendous as it increases the scope and reach of health care services to remote and the vulnerable population. People in the rural areas and the underserved areas can receive quick access to specialist care irrespective of their location. It reduces department patient volume, wait times, thus reducing exposure to infections. Telemedicine also lowers the number of readmissions, ER visits, and patient transfers, ultimately reducing the medical practice overhead to lower healthcare costs.


Challenges

1- Protecting medical data from hackers, and other criminals especially when patient data is accessed through unencrypted channels.

2- In cases of medical emergencies, the healthcare provider cannot provide life saving treatments and laboratory testing with telemedicine.

3- Finding the appropriate digital platform that works for both parties can be a challenge.

4- The inability to physically examine patients can compromise the treatment.


Artificial Intelligence (AI) in healthcare

AI in healthcare is reshaping the mode of delivery of healthcare services rapidly around the world. The European Parliament in 2016 defined AI as “the capability of a computer program to perform tasks or reasoning processes that we usually associate with intelligence in a human being.” With the assistance of AI, the healthcare providers can make decisions with much more accuracy, and drastically reduce the element of human errors especially within the field of diagnosis, imaging, and developing methods for individualized medical treatment plans. AI applications based on imaging that are currently in use are in the fields of radiology, pathology, and ophthalmology.


Figure 2: An image prepared by McKinsey & Company (2020) elaborating the areas of Impact for AI in healthcare.

(Spatharou et. al., 2020)



Benefits

Automation of the most basic and repetitive administrative tasks in healthcare using AI results in quicker, better patient service, big data analysis, improve project implementation, delivery of advanced treatment, lower costs, and better medical outcomes.

Robot- assisted surgery has reduced surgery- related complications, less pain, and quicker recovery time.

Drones are being used to deliver medications, vaccines, and Automatic External Defibrillators (AED) to remote areas.

Using AI algorithms technology to pick up suspicious database activities can prevent database breaches and hacking in real time.


Video 3: This video shows the test trial using drones to deliver defibrillators to rural parts of Canada.

Challenges

1- Before embarking on the AI & automation journey in this field, healthcare organizations must invest in developing the basic digitization of systems and data infrastructure in place. Improving the quality of data management, governance, security and interoperability can be challenges for healthcare units.

2- The disruption of the human connection between the healthcare providers and their patients pose many ethical challenges with the use of AI in healthcare.

3- Patient data protection and informational privacy is another growing ethical concern with rise in use of AI technologies.

4- The medical education/training would need a complete revamping, focusing on new technologies and skills. The curriculum would need to be more innovative involving entrepreneurship, continuous learning, and multidisciplinary expertise.

5- Health care organizations need to develop & recruit new roles like data engineers, and data scientists to meet the demands of adopting AI technologies into their organizations.



Conclusion


The integration of the healthcare field and the IT industry will reshape the delivery of medical services drastically. We will witness astonishing results that could only be seen in sci-fi movies. Both the healthcare providers and the patients will benefit from these tools. Patient care will be delivered faster, at a lower cost, and accessed from the comfort of their homes. In the future, telemedicine will build stronger, effective, and efficient patient outcomes.

Healthcare organizations are acquiring and investing in cutting- edge technology in the field of AI. Strong data management foundation, data security, rules and regulations will be helping further acceptance and adaption of new tools and technologies. Reducing the administrative repetitive duties using AI automation technology will save valuable lives, time, and resources.

Although the process is rather slow, more and more hospitals and health organizations acquire cutting-edge technologies and solutions to make their services better. Health care will not be limited to the geographical boundaries, since everyone will have access to better quality health care services. Proper planning, communication, and implementation from the health care leaders and governments will offer opportunities beyond one’s imagination.





REFERENCES


eHealth - InnoHealth China. (2019). Research in Germany. [Figure 1]. Retrieved from https://www.research-in-germany.org/innohealth/about-innohealth-china/healthcare-sector/ehealth.html


eHealthOntario. (2014). Ontario’s Ehealth Blueprint. [Video 1]. Retrieved from https://www.youtube.com/watch?v=uX5-rcmTpqA


Ericsson North America. (2020). Defibrillator delivery over LTE. [Video 3]. Retrieved from https://www.ericsson.com/en/blog/2020/2/drones-in-healthcare-canada


European Parliament. (2016). Artificial Intelligence: Potential Benefits and Ethical Considerations. Retrieved from https://www.europarl.europa.eu/RegData/etudes/BRIE/2016/571380/IPOL_BRI(2016)571380_EN.pdf


Gluck, J. (2018). How Automation in healthcare is Boosting the Bottom Line. HealthTech Magazine. Retrieved from https://healthtechmagazine.net/article/2018/06/how-automation-can-translate-better-patient-care-and-boost-bottom-line


Intellectsoft. (2020). 10 Healthcare technology Trends to Watch in 2020. Retrieved from https://www.intellectsoft.net/blog/10-healthcare-technology-trends-to-watch-in-2020/


Information and Communication Technology Council. (2009). eHealth in Canada: Current Trends and Future Challenges. Retrieved from http://0-search.ebscohost.com.aupac.lib.athabascau.ca/login.aspx?direct=true&db=edscel&AN=edscel.226831&site=eds-live



Kennedy, L. (2019). How Artificial Intelligence Helps in Health Care. WebMD. Retrieved from https://www.webmd.com/a-to-z-guides/features/artificial-intelligence-helps-health-care#1


Kruse, C. S., Williams, K., Bohls, J., & Shamsi, W. (2020). Telemedicine and health policy: A systematic review. Health Policy and Technology. Retrieved from https://www.sciencedirect.com/science/article/pii/S2211883720301155


Partnership for Community Action. (2020). Telehealth and Telemedicine. [Video 2]. Retrieved from https://www.youtube.com/watch?v=v38SDVz2LSk


Spatharou, A., Hieronimus, S., & Jenkins, J. (2020). Transforming HealthCare with AI: The impact on the workforce and Organization. McKinsey & Company. Retrieved from https://www.mckinsey.com/industries/healthcare-systems-and-services/our-insights/transforming-healthcare-with-ai#


The Scientific World. (2019). eHealth Technologies/The Benefits and Challenges of e-Health Applications. Retrieved from https://www.scientificworldinfo.com/2019/09/the-benefits-and-challenges-of-e-health-technologies.html


Weber, J., & Kuziemsky, C. (2019). Pragmatic Interoperability for eHealth Systems: The Fallback Workflow Patterns. Software Engineering for Healthcare. Retrieved from https://www.researchgate.net/publication/333907558_Pragmatic_Interoperability_for_eHealth_Systems_The_Fallback_Workflow_Patterns


Webster, P. (2011). Experts call for Health Infoway “Watchdog”. NCBI. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/?cmd=search&term=10.1503%2Fcmaj.109-3783%5BDOI%5D


World Health Organization. (2020). Global strategy on digital health 2020–2025. Retrieved from https://www.who.int/docs/default-source/documents/gs4dhdaa2a9f352b0445bafbc79ca799dce4d.pdf?sfvrsn=f112ede5_68

 
 
 

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