Healthcare research is moving at a strong pace. Scientific literature suggests that Artificial Intelligence is the way forward when it comes to healthcare provision during the century. Whether it is epidemiology (like, study of factors of disease etc.), biostatistics (e.g. clinical trials etc.) or Hospital Administration, to name a few, AI has a lot to offer. Human genomics and health informatics combine to open a whole new world of opportunities. But there is a cost to it. Can all this be sustained ethically, with the WHO slogan of `Health for All`? Well Project Management certainly has an answer to it.
I request comments from my worthy friends with a probable way forward to explore all aspects of healthcare management. I am confident that all ten PMP knowledge areas are applicable. Saving Changes...
Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
I participated recentrly in 3 projects related to it: 1-breast cancer detection. 2-level of work life and virus correlation (in my country some virus are closelly related). The thrid is my own research tying to understand the relation between genetic and consciousness something some people call "ephigenetic". Just to comment, AI has been used from long time before in health care. The difference is technology make things "easy" and some specifc languages than R (is not new, it was created in 1993) help a lot. The key behind all of these is the data, as always. Today data is "easy" to collect but still "harded" to convert into information. Regarding ethics in healthcare it is a topic that is being debated from long time ago starting in Second World War which was the place where genetic and health care application explode. "Health for all", forget about it. Is the same than "zero poverty" or things like that. Remember that no matter the intentions the nature still is working to get the needed order. Saving Changes...
Ethical considerations with such projects are the reasons why it is critical to engage the right stakeholders to contribute the necessary control requirements ensuring that efficiency and effectiveness don't trump people's privacy and other rights.
Kiron Saving Changes...
Luis BrancoCEO| Business Insight, Consultores de Gestão, LdªCarcavelos, Lisboa, Portugal
Dear Shehzad
Interesting your question
Thanks for sharing
I am convinced that technology (AI) can and should be used in prevention and health care
The use of technology (AI)
with ethics is more related to us humans Saving Changes...
In terms of project management, this field has a great future. There are many aspects to it as well as the AI technology itself- especially collecting the necessary data, cleaning and validating that data, the vast amounts of processing power and storage that may be needed, the Information Governance of it, and the engagement of the public and the clinical workforce.
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1 reply by Shehzad Anwar Khan
Feb 01, 2020 10:46 AM
Shehzad Anwar Khan
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Thanks for your reply and sharing the link. It is very useful.
I believe that AI alone cannot cover all aspects of medicine.
For example, in terms of technology, attempts to analyze minute movements such as pulse and muscle contraction by using techniques such as Big Data analysis should be used at the same time.
And I think it's up to humans to be responsible for the final medical results.
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1 reply by Sergio Luis Conte
Jan 31, 2020 8:05 AM
Sergio Luis Conte
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You are right. AI presents to doctor three results with the associate probability foe each ones. The final decision depends on the human being.
Saving Changes...
Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
Jan 31, 2020 7:39 AM
Replying to Takeshi Miyaoka
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Thanks for providing the discussion.
I believe that AI alone cannot cover all aspects of medicine.
For example, in terms of technology, attempts to analyze minute movements such as pulse and muscle contraction by using techniques such as Big Data analysis should be used at the same time.
And I think it's up to humans to be responsible for the final medical results.
You are right. AI presents to doctor three results with the associate probability foe each ones. The final decision depends on the human being. Saving Changes...
I agree with you all. AI has to be involved in combinations.
To take the discussion further, I have experienced that project management is not being involved in healthcare provision, research and community based projects, in most instances. It is a huge industry that is yet to be tapped. If the project management experts are involved, the impact of these projects will grow exponentially. If anyone of you agrees, we can take this up with more detail and develop something on this. I have something that can be explored.
In terms of project management, this field has a great future. There are many aspects to it as well as the AI technology itself- especially collecting the necessary data, cleaning and validating that data, the vast amounts of processing power and storage that may be needed, the Information Governance of it, and the engagement of the public and the clinical workforce.
Thanks for your reply and sharing the link. It is very useful.
The healtcare industry is probabaly the single largest producer of paperwork in the world and this situtaion has only steadly increased throughout the decade. The sector has be very slow to adapt and transistion to paperless based system. For some reasons, mainly legal, the industry has not embraced paperless system, even when system paperless archive system came onto the market decades ago. In contrast research centre that specialise in medical diseases and the pharmacetical industry have been early adapters with most of their record system paperless. Also in new diagnotics tools, many CT scans are instantly compared with a library tool to identify potential anomalyes that are present. So what are the roadblocks when the benefits are obvisious of employing AI and maching learning systems to cut down on administration and automate alot the processes that exist in the healthcare sector. The major stumbling block is that is is much more difficult to get rid of a paper record than a digital record. The way the paper systems in the healthcare sector over the centuries evolved is that multiple records exists on separate records for a single entry. That means it is easy to compare records across multiple dpartments. When it comes to medical negilience, hospital consultant who have a considerable input into hospital process, believe this has more standing in the courts than a digital system which could easily be hacked and modified. This also extends to diagnostic tools and automation of processes. It seem that a well trained eye is more wary than a computer system. Also a separate point is that Doctors and Consultants do not want to lose the person touch about medicine as asking questions to the patients is the first form of diagnosing with a patient. Something a automated system is not fully equiped to do.
