Use cases for AI and ML in healthcare

We are exploring future use cases for AI and ML in healthcare. Imagine all things are possible.

    What are some of the future use cases for AI and ML in healthcare? How can AI/ML be leveraged for population health management? How can Al/ML be leveraged for personal health? How can AI/ML be used to evaluate health programs?

Hi @jonc101, @ajchenx, @acowlagi, @reubenwenisch, @nastyahaut, @elekaja, @MachineGenes, @ymedan, @joshnesbit, @addy_kulkarni - What are your thoughts on future use cases of AI and ML in healthcare?

AI/ML is currently addressess the needs of the Health/SickCare system professionals. Yet, I believe that in the future, AI/ML will empower us, individuals, to stay in a healthy state and defer onset of (chronic) disease to as late as possible. It will do it by way of “nudges” related to unhealthy lifestyle routines. AI/ML will embedd heakth wisdom in our pocket via immediately available health virtual assistants. Staying healthy is the only sustainable model for a heath nation. Spending 20% of national GDP on illness is not a sustainable strategy that serves the wellbeing and wealth of citizens. COVID-19 hilghts the deficiencies of the current system.

We are working these use cases:

  1. Use AI/ML to study patient journey from EHR data, build doctor referral and symptom checking AI model, test automatic doctor referral in big hospital workflow. Goal: improve hospital patient navigation efficiency and accuracy.
  2. Use the doctor referral AI tool in rural clinical to enable rural doctors to refer patient to the right specialties. Goal: reduce health care disparities in rural areas.
  3. Use AI/ML to automate guideline recommendation, patient matching and patient education for enabling real-time clinical collaboration cross hospitals. Goal: reduce health care disparities in developing countries.
  4. Use AI/ML to discover digital biomarkers for preventive screening for cancers, neurological diseases to improve population health.

Thanks @ymedan and @ajchenx for sharing experience on AI/ML use cases. Do you know of any case wherein AI is used for evaluating health programs?

Hi @jda, @aassif_lg, @meallen3, @fbaothman, @scveena, @synhodo, @mashizaq, @Sujana, @dzera and @skornik - We look forward to your thoughts on future use cases for AI and ML in healthcare.

Hi @Nvargas2, @tylerbn, @arun_venkatesan, @biki, @kenjisuzuki, @bngejane, @dollendorf, @Hlantum, @paulauerbach, @namkugkim - curious to know if you have any inputs to share on the ways in which artificial intelligence and machine learning be leveraged for population health management, personal health, and evaluating health programs.

@ymedan ~ Your post gave me chills! What a bright future we could all have if we took to heart your wisdom of “Staying healthy is the only sustainable model for a healthy nation.” I hold your vision of this bright future whereby we collectively pick up these social, psychological, and technological tools and allow them and the human spirit to raise us to new levels of health and vitality. Thank you for your comment, truly!

@ajchenx ~ Very cool! We’d love to hear more about the work you are doing. Do you mind sharing what organization you work with?

@HeatherSutton I’m a Learning Health System Consultant based in Silicon Valley, and a visiting professor at West China Hospital (part-time). The use cases I mentioned are from my collaborative research with several hospitals and rural clinics in China. In US, I am participating in the NIH National Covid Cohort Collective to use LHS approach for rapid dissemination of AI/ML results into frontline patient care. Previously I co-chaired Region IX Health Equity Council for US HHS NPA, as well as served on the Consumer Technology Workgroup of Federal Advisory Committee on Health IT Standards. So, I’m focused on helping hospitals build learning health systems (with HIT, AI) to reduce global health care disparities. I believe AI/ML will have huge applications in reducing health care disparities because very often disparities are result of lack of medical professional resources. AI/ML-enable learning health system platforms can bring the high quality clinical experience from teaching hospitals to community and clinics. As I commented in other posts, learning health system (LHS) is the new vision created by National Academy of Medicine, which will transform global healthcare systems.

@Shashi Healthcare Apps like Dr. Elsa in Tanzania can be used as a patient virtual assistant to deliver patient education, medical alerts, and analyze their current mental status. They can monitor and offer medical assistance to patients especially in remote areas where clinical personnel may not be readily available.
Another application of AI that is likely to transform the health sector is the Dictation Assistance using (Natural language Processing) NLP and Translation. Natural language processing can help medical experts deployed in remote areas to capture data from dictated notes, translate and store in the Electronic Health Records (EHR) despite language barriers. NLP can also help in sorting unstructured patient data including images and text to extract vital information for treatment.
AI will also help bridge the existing gap between the number of surgeons and patients. AI will assist experts in diagnostic processes by analyzing medical images like CT scans, X-rays, and MRIs. Through imaging analysis, medical experts will extract important information that may not be possible through human eyes. AI has also been applied in the field of oncology to help in cancer treatment. For instance, IBM Watson is used in processing unstructured and structured patient data to provide cancer treatment recommendations.

Thanks @mashizaq for sharing those amazing future use cases of AI. Is there a way AI could be used to evaluate health programs as well? what do you think?

Hi @Shabbir, @jblaya, @acowlagi, @Vishalgandhi, @pglass, @Nitesh, @kakkattil, @Neal_Lesh and @yuanluo - What are your take on how AI / ML may be used in future for healthcare.

@ajchenx ~ I’m well impressed by the work you are doing to serve the medical community and the world at large. This morning I am struck by the fact that there are many inroads towards achieving universal access to health (education being a huge component of that) and I’m grateful to people like you, the members of this community, innovators, policymakers, governments, IGOS, our sponsors, our XPRIZE team and others who have committed themselves to this cause. Thank you!

@mashizaq ~ Thank you so much for sharing! We were not aware of Dr. Elsa, but I read up about “her” this morning and I find the tool very interesting. I personally get excited by the potential for AI to “uplevel” caregivers and also to relieve them from some of the administrative burdens that are hallmarks of the field. It’s quite thrilling to think of these possibilities!

Hey @shamakarkal, @grandner, @rguimara, @pkatakam9, @alabriqu, @cimdal2, @owen, @ClaireM, @supratik12, @ajeeta, @rajpanda, @msrjoy, @praveenraja and @Davisthedoc - What are your thoughts on the way artificial intelligence and machine learning be leveraged for population health management, personal health, and evaluating health programs in future.

The future of AI in Healthcare is to make the AI solution possible to be deployed in the Low and Middle-Income Counties for screening disease. AI systems will be able to work day and night with minimum system requirements. AI + Blockchain will be exciting collaboration technology for quality control and trust in the field. High-quality healthcare technologies are reserved in a few countries. So AI + Blockchain will make borderless healthcare possible.

Thanks @synhodo for sharing your thoughts on future use cases.

Hi @SArora and @RahulJindal - What are your thoughts on the future use cases of AI and ML in healthcare?

@Shashi Computers that have AI capabilities are currently being used in several real-world domains to solve problems. For example, AI can be used to track the movement of people so as to curb transmission through contact by seeking to know who they have been with, and not just where they have been, to the development of an AI-powered database that will help enable researchers to quickly discover literature resources that are related to various diseases and their cure.

Thanks @mashizaq for sharing those insights.

Hey @mhackett, @stephaniel, @dollendorf, @JoanneP, @siimsaare, @abejanis, @Lizzy_2020, @Ewunate, @ArdenVent, @kevinnicholasbaker, @berniceredley - Curious to know if you have any inputs on the future use cases of AI and ML in healthcare.

Automating and making more efficient systematic literature review to provide inputs for advanced synthesis of the clinical evidence

Accessing available data on cost-effectiveness of health interventions to create a locally-relevant profile and developing predictive models