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Interoperability in healthcare

Interoperability in healthcare – challenges, solutions, and the future

December 23, 2021

Healthcare in today’s day and age has grown multifold, offering the best medical facilities to patients. As an organization providing healthcare solutions – be it a clinic, a hospital or a pharmacy, keeping all your services linked can get hard. Interoperability in healthcare is an ideal way out from the tangled mess of organising your patients’ data for them. This system can help the multiple departments of your healthcare organization or entirely different collaborating organizations function as one unit and be beneficial for your business in many ways. That said, given the current pandemic situation, interoperability can also help reduce physical contact between the patient and the various service providers. However, it does come with its own set of unique challenges which can definitely be tackled without much fuss. 

What are the benefits of interoperability?

For healthcare service providers

As said before, interoperability helps you unify your business. Once you have the system running, it can help save a lot of time on the back and forth that can happen between two departments; say, the pharmacy of your clinic and the billing system. Moreover, if you’re an organization aiming to provide your patients with multiple services such as operation or treatment aftercare, routine checkups, financial management and so on, running everything can get cumbersome. Interoperability can help you serve your patients better. Added to this is the benefit of efficiency. A unified system can give you more space to grow and connect with more organizations that complement your goals. Your patients can now get timely treatment enhanced by the data you collect via a patient’s mobile phone, wearable device, telehealth checkups, online prescriptions and medical bills that can be sent directly to a pharmacy from the clinic/ hospital and so much more. Lastly, interoperability can take your clinic to a global level by enhancing the quality of care you provide and in the process also save you millions.

For Patients 

As a patient, interoperability saves you the trouble of having to repeat your medical history to multiple practitioners. You can be assured that all your data – be it medications, allergies, conditions, tests or doctor’s who’ve treated you – will be stored in one encrypted corner for you to access when need be. A healthcare organization that provides you with this service can help save you a lot of time. Furthermore, you can also effortlessly connect with your pharmacy, insurance provider and the hospital billing to keep track of your expenses and bill payments. By remembering all your medical data for you, it’ll save you some bucks that would have otherwise been spent on discussing it with new doctors. 

For others

Interoperability can be a big help to pharmacies. They can now receive prescriptions from the healthcare providers and ensure that they’re always stocked for the same. Pharmacies that deliver medications to domiciles of patients can also use this option to upgrade their services. Apart from that, it can also be helpful to specialty pharmacies that undertake routine checkups, follow-up visits and offer other such medical services. Apart from that, interoperability can also help a clinic’s administrative staff segregate and store the information of the patient better which in turn helps avoid any errors on their part.

What about the challenges in interoperability?

Interoperability in simple terms is the ability to integrate multiple services into one entity to expedite data transfer. Despite its many advantages, not many clinics have been able to successfully inculcate it into their systems. In the US, less than 40 % of clinics have attempted to utilise it and have partially managed to share the data with other organizations. There are a handful of factors that hamper with the success of interoperability, the primary being the standards of use. Each organization has a different standard at which they operate. Bringing together such organizations  under a common system can get difficult and sharing data with them more so. The mode of operation can vary in the means of storing data, the format of retaining information and even the use of language in doing so. 

Secondly, when multiple organizations collaborate in one single system, the data gets too much to handle depending on the size of these organizations. If a pharmacy is exchanging data with more than one hospital for instance, there could be an overload of data in its system. This could decelerate the workflow of the pharmacy instead of expediting it. 

Lastly, corruption and lack of knowledge or resources also affect the success of interoperability. Some providers can input incorrect or faulty data for their personal gains which can affect the quality of services that the patient receives. Apart from that, there is also a possibility that providers can restrict information – in a process known as ‘information blocking’ – until the receiver pays a certain amount to be able to access it. Insurers can also sometimes be hesitant to provide a patient’s treatment and claim history to medical professionals. Apart from that a lot of providers are either rigid on sticking to the traditional systems or are unaware of the possibilities within interoperability. Moreover, the lack of financial resources for many organizations prevents them from investing in the same as well. Even if an organization does become a part of the system, its operators could lack the skills to exploit it in the best way possible. 

Is there a way to overcome these challenges?

  • To start off, government funding towards standardizing interoperability in healthcare service providers could be helpful. 
  • Secondly, usage of data integration tools and healthcare analytics solutions could help overcome the obstacle of data overload. These help with not just efficient allocation of resources but also cost-reduction for the healthcare service. 
  • There also needs to be a standardization of the language used by the various integrated healthcare service providers. This can help avoid any misunderstanding and make interoperability more efficient by making it readable to both the sender and receiver as well as the computer. 
  • Educating the operators on the availability of API (Application Programming Interface), AI (Artificial Intelligence) and healthcare analytics tools and on its utilization is crucial. They should also be made aware of the benefits of interoperability with regards to convenience and cost-cutting.
  • Organizations standardizing interoperability need to also establish a privacy policy that has been agreed upon by all collaborators involved. Along with that, the interface for the interoperability software needs to be made user-friendly.

How Remote Patient Monitoring Reduces Patient Readmission

September 13, 2021

Hospital readmissions have placed a substantial financial strain on the United States’ healthcare system. The average cost of readmissions in 2016 was $14,400, according to the Agency for Healthcare Research and Quality (AHRQ). According to the Center for Health Information and Analysis, hospital readmissions cost Medicare roughly $26 billion each year. More importantly, readmissions have a detrimental impact on patients, frequently resulting in a deterioration in health.

When the Affordable Care Act became law, over 20% of Medicare patients were returning to hospitals within 30 days of release. The Centers for Medicare and Medicaid Services (CMS) began reducing compensation to hospitals with high readmission rates as part of the legislation’s mandate. Two proactive hospitals used post-discharge follow-up procedures to ensure that patients understood and followed doctors’ recommendations. These efforts were fruitful. According to CMS, 49 of the 50 states reduced hospital readmissions between 2010 and 2015 

What is Remote Patient Monitoring?

Remote patient monitoring (RPM) is a way of healthcare delivery that leverages the newest advancements in information technology to capture patient data outside of typical healthcare facilities. It is sometimes abbreviated as RPM (and is also known as remote patient management). Remote patient management is about bringing more healthcare out of the traditional environment, into the home and where people live, work, and play every day. It’s also about leveraging technology to bridge the gap between the conventional physical setting of healthcare and where people want to live every day.

Naturally, this comfort raises their levels of involvement; and by raising engagement, remote patient monitoring can assist enhance the quality of treatment. Patients are incentivized to better engage with their own health because of the convenience of quality RPM models, but clinicians are also better equipped to understand and manage their patients’ health situations, with a more constant stream of data that provides a much clearer picture of the patients’ health.

This allows physicians to see what’s going on with patients early. As a result, caregivers can more properly monitor what’s going on and ask more pertinent questions. In brief, RPM empowers doctors to know what is happening with their patients daily as it happens. Read about how to avoid these 4 remote patient monitoring pitfalls for more information.

How Can Remote Patient Monitoring Reduce Hospital Readmissions?

  • Enhanced Follow-up Procedures

Patient participation is frequently included in a successful follow-up strategy. Self-care practises, such as sticking to medication regimens and dietary restrictions, are critical to recovery in many situations. Symptom monitoring may also be important in avoiding problems. 

Physicians make every effort to emphasise the significance of patient compliance. Unfortunately, people without medical expertise may find it difficult to comprehend this information. Further, contacting healthcare professionals may be difficult but fortunately, improvements in RPM have made it easier than ever for patients to follow up. Apps for video conferencing are extremely handy. They help patients avoid complications and subsequent hospitalizations by offering rapid and easy access to healthcare experts.

  • Improved Clarification 

Patients need to effectively follow the advice that might help them avoid further hospitalisation and readmission. Unfortunately, busy healthcare practitioners do not always have the time to devote to this clarification. 

All too frequently, patients come home only to discover that they have forgotten their self-care instructions. It might be challenging to absorb spoken information from a healthcare practitioner during a period that is typically defined by stress and uncertainty. Many patients also have difficulty understanding printed discharge instructions. Because certain activities might be more complicated outside of a medical setting, comprehension is essential. RPM can help patients connect with a healthcare professional for real-time video support.

  • Additional appointments

In most situations, following up entails more than simply checking in. Nurses, personal support workers (PSWs), and care coordinators may help with particular chores while also monitoring patient well-being. However, post-discharge visits with family doctors and specialists are typically required.

However, in-demand practitioners may not be able to see individual patients as frequently as they would want. On the patient’s end, COVID-19 and other factors such as transportation make in-person visits challenging. Further, rescheduling is not always easy. Missed visits, as well as extended wait times, might cause health issues to go undetected. As a result, poor health outcomes and ultimately hospital readmission may occur.

RPMs such as Acuma Health allows doctors to attend to more patients in less time. It can reduce missed appointments, allowing more patients to obtain the specialised follow-up treatment they require and reduce patient readmissions drastically. For more information and insightful updates, follow us on Facebook and Twitter.

Avoiding These Four Remote Patient Monitoring Pitfalls

July 16, 2021

During the height of the COVID-19 pandemic, many patients were fearful of going to the doctor. However, it became even more crucial to monitor their health during this time. This is where remote patient monitoring (RPM) became vitally important to the virtual health strategy of every payer and provider. RPM uses digital technology to collect data on symptoms, medicines, therapy, and biometrics from patients who are not physically present in a healthcare facility, typically through the use of an app on the patient’s phone. The software then securely communicates that data to healthcare experts for evaluation and suggestions.

Patients can benefit from increased access to healthcare, greater quality of treatment, and more support and peace of mind, among other things. Healthcare providers, on the other hand, receive a more in-depth view of their patients’ health data, which may lead to fewer readmissions, improved patient outcomes, and recurring income.

RPM has the potential to benefit both patients and healthcare practitioners. Having said that, healthcare professionals who want to establish and manage an RPM program should do so with caution. There are several types of hazards and blunders that might arise. As a result, let’s take a deep dive into the top four RPM pitfalls you can avoid with the program:

  • Too Many Resources for Patients to Use

When patients have to manage multiple interfaces, gadgets, and tracking mechanisms, it becomes burdensome for them to have to manage monitoring their health, thereby not providing an accurate picture to their care nurse. Health leaders can make digital care more accessible and understandable by providing patients with a single interface that manages all of their requirements. Whether a patient is managing diabetes, heart disease, or another chronic illness, having a single location for all of their health information allows them to actively engage in their care. Read about how electronic patient portals are becoming redundant

  • Impersonal Clinician-Patient Interactions

Electronic health records (EHRs) placed a screen and computer between physicians and patients in the exam room, severing a sacred bond. Telemedicine may also wreak havoc on this connection, since this new screen may increase existing access disparities. Recent research discovered that individuals over the age of 65 had the lowest odds of using telehealth, while Black and Hispanic patients had lower probabilities than their White or Asian counterparts.

Facilitating equitable access might involve a variety of actions such as giving digital help and language interpretation, lending patients essential gear, and providing Wi-Fi connection. Adequate language interpretation continues to be a serious problem, owing in part to price and availability. As financial demands on providers increase, a need for innovative compensation techniques, such as cost-based reimbursement and inclusion of linguistic requirements in potential payment models, is necessary.

  • Complicated Technology 

Patients should be allowed to connect biometric devices with their health management platform by health plans and doctors. For example, if a patient has a glucometer gadget, it should be simple to link it to their digital health app or platform to sync vital data. This allows the patient to follow their blood sugar levels without having to manually enter data into the app. Integrating with a wide range of devices and manufacturers raises the possibility of a patient engaging with RPM and makes digital care more accessible.

As some gadgets are costly or difficult to use, providing patients with a variety of integration choices assures more accessibility and engagement with the solution. To keep members engaged in a digital health platform, health plans and doctors should incorporate RPM data into each patient’s daily routine, such as making a daily checklist for patients that includes medicine reminders, biometric check-ins, and a daily objective. Providing articles that are simple to read and encourage individuals to advocate for their own health and care can also be beneficial. 

  • Unnecessary Overload of Work

EHR digitized notes and labs made information more easily accessible and shared in a data revolution in healthcare. However, it has rapidly taken over the days and evenings of healthcare workers, with some doctors spending more than half of their workdays on the EHR. If not carefully managed, the proliferation of telehealth could similarly reshape clinicians’ workdays by adding virtual visits on top of a full slate of existing clinical responsibilities or allowing duplicate information and/or work requests to flow in from multiple channels if systems aren’t interoperable.

Many medical centers have made progress taming the expanding workload by scheduling dedicated virtual visit sessions for primary care providers rather than adding them on top of a full workday, improving telemedicine efficiency by admitting patients into virtual exam rooms, taking histories, and notifying providers when their patients are ready to be seen. They also make certain that interdisciplinary teams are included in the delivery of virtual care. Furthermore, FastCheck visits allow patients to come in before or after a telehealth visit for a 15-minute session for vitals, labs, or other treatment that cannot be given electronically. To gain the benefits of telemedicine while avoiding an unwarranted increase in physician responsibilities, continued operational innovation will be required. Read about how AI-driven healthcare data management impacts the future of healthcare.

At Acuma Health, we aim to provide our patients with real-time engagement of both their care and data. We also foster personalized, genuine and professional relationships between our team and our patients with easy to use technology. For more information and insightful updates, follow us on Facebook, LinkedIn and Twitter.

How Electronic Patient Portals are Becoming Redundant

June 29, 2021

Technology has evolved over the years and now, many aspects of our lives have been digitised. The healthcare industry especially is one that adopted this trend once the pandemic hit. As most people are unable to see their doctors, as usual, they have since relied on digital technology to obtain medical attention and advice. For many years, digital technology has been driving transformations in inpatient care, but there is no doubt that Covid-19 has catalysed a significant increase in this adoption. Read how AI-driven healthcare data management impacts the future of healthcare to know more.

To be sure, the rise in phone and video calls that have replaced in-person consultations during the pandemic has gotten a lot of attention. Virtual consultation platforms have proven to be extremely successful and popular, even among older generations. At the same time, electronic patient portals haven’t been keeping pace with the times, and they are soon becoming redundant as a need for real-time engagement with data rises. 

Electronic Patient Portal Use Today

The GAO (Government Accountability Office) reported in 2017 that nearly 90% of providers offered access to their respective patient portals. However, less than one-third of patients used theirs. Later, further reports showed that only 52% of patients were offered online access to their records, and only 28% used it. The top reasons for people using their portals were to get lab results (85%), refill a prescription or make an appointment (62%), and message their provider (48%). But they never returned to the portal again. 

According to some studies, about 8% of internet users, or approximately 93 million Americans, have conducted online searches for health-related topics. Why aren’t more consumers seeking their own health information or using portals to participate in their own healthcare? The following information could help answer this question. 

Cons of Using Electronic Patient Portals 

Patient portals, generally speaking, are health IT interfaces on which patients can view their own protected health information (PHI). Although this can be viewed as a good thing because patients do have the right to see their own health data, it also opens doors for security concerns. A patient portal could be yet another way for a potential hacker or healthcare data thief to gain access to a patient’s data, potentially leaving that patient vulnerable to identity theft. The possibility of data breaches increases, therefore you will need to work with a vendor who offers robust, secure EHR software. This is how these concerns can be kept to a minimum with appropriate safeguards. 

The Department of Health and Human Services (HHS) recently clarified HIPAA regulations regarding patient access to health information, making clearer the conditions under which patients may access their health information and the HIPAA protections that information has. The Office of the National Coordinator for Health IT (ONC) also states that patient portals often have several technical safeguards to protect from healthcare data security issues

Additionally, it was noted that when patients received their medical test results online, many of them found the process to be very convenient. However, a large number of people complained about the lack of interpretation of their results, which a healthcare provider would usually provide. This led them to be scared and anxious about their diagnosis for several days until they eventually had to get in touch with their doctors in person or over the phone, making these portals redundant. Among these, another disadvantage of using patient portals is the most basic problem-  some patients may lack computer experience, preventing them from getting the most out of their portal.

Improving Patient Experience 

If the days of a physician’s call or a face-to-face meeting to discuss test results are over, the portal that replaces them must not be less informative or sensitive to patients’ needs. Patients’ rights to understand cannot be replaced by quick access. Even if a test result is not clearly negative, presenting an uninterpreted report through a portal can be painful for patients and certainly ineffective. According to a recent study, nearly two-thirds of 95 patients who received test results via a portal received no explanation for the results. Nearly half of those polled conducted online searches or contacted their doctors.

Of course, improving the patient experience is at the heart of all care coordination efforts. When providers fail to communicate and data is not shared promptly, the patient suffers the most. They are not the consumer-minded individuals who are eager to “take charge of their own care,” as we frequently hear in the media. Many people rely on care coordinators to be their advocates, inform family members, and share new medications, diagnoses, and preferences with the facility to which they are transitioning. 

At Acuma Health, we ensure HIPAA compliance and our patient engagement app provides timely interventions and lower cost of care, better formulary management system, which leads to higher member satisfaction and retention. It is our goal to provide our patients with real-time engagement of both their care and data. Follow us on Facebook and Twitter for more insightful information and updates.

AI Healthcare Data Management

How AI-Driven Healthcare Data Management Impacts the Future of Healthcare

March 24, 2020

Machine Learning and AI Transform Healthcare Data Management so Healthcare Stakeholders Can Achieve Lower Costs and Better Patient Outcomes

Healthcare is a rapidly changing industry. Big data, artificial intelligence (AI), and machine learning – these terms have become mainstream in many industries and healthcare is no exception. AI applications are increasingly becoming a part of healthcare to the point where there have been rumblings about AI possibly taking over some healthcare jobs. But is this realistic? Should healthcare stakeholders all just embrace AI in healthcare?

What is Artificial Intelligence (AI)?

Artificial intelligence is a collective term used in reference to multiple technologies that aim to mimic human cognitive functions, making machines able to sense, understand, act, and learn. Some AI technologies that are important to healthcare stakeholders and the healthcare industry are:

  • Machine learning – neural networks and deep learning: statistical techniques used to fit models to data and to ‘learn’ by training models with data.
  • Natural language processing (NLP): making sense of human language with applications such as speech recognition, text analysis, and translation.
  • Rule-based expert systems: based on “if-then” rules.
  • Physical robots: actual robots such as surgical robots.
  • Robotic process automation: computer programs used to perform structured digital tasks for administrative purposes.

AI in Healthcare – Past, Present, Future

Healthcare is a data rich industry which provides fertile ground for applications of AI in healthcare data management as well as other aspects of healthcare. In the past, AI technologies in healthcare were mainly algorithms or tools that complement a human. The rule-based expert systems of “if-then” rules were dominant in the 1980’s and for some time beyond. However, inefficiencies in such systems that result when the number of rules become too large, are causing them to be replaced by machine learning algorithms.

Today, AI in healthcare can truly augment human activity and is taking over tasks ranging from medical imaging to risk analysis to diagnosing health conditions. AI is being used to discover links between genetic codes, to power surgical robots, and to maximize hospital efficiency. As a result of this, growth of AI in healthcare is exploding and is estimated to reach $6.6 billion by 2021. An analysis of the market found that when combined, key clinical health AI applications can potentially create $150 billion in annual savings for the United States healthcare economy by 2026.

In the future, AI will play a critical role in precision medicine, which is the direction in which healthcare delivery is headed. AI is expected to improve areas such as diagnosis and providing treatment recommendations, imaging analysis, healthcare data management, patient communication, and capturing of clinical notes through speech and text recognition.

According to a PWC report, Why AI and Robotics will Define New Health, AI in past decades have focused on innovations in medical products (equipment, hardware, and software) that deliver historic and evidence-based care. The present decade has seen a rise in medical platforms focused on real-time, outcome-based care in the form of wearables, big data, healthcare data management, and health analytics. Healthcare stakeholders should be aware that it is believed that the next decade will see an increase in medical solutions involving robotics and augmented reality, which will deliver intelligent solutions for both evidence and outcome-based health and focus on collaborative, preventative care.

Uses of AI in Healthcare

“AI is being used to discover links between genetic codes, to power surgical robots, and to maximize hospital efficiency.”

One description of AI is that it “simplifies the lives of patients, doctors and hospital administrators by performing tasks that are typically done by humans, but in less time and at a fraction of the cost.” AI technologies have found a multitude of uses in healthcare such as:

  • Efficiently and accurately diagnosing conditions and reducing errors
  • Treatment recommendations
  • Development of medicines
  • Streamlining the patient experience
  • Data mining and healthcare data management
  • Robot-assisted surgery
  • Administrative applications

With all these uses and more, AI in healthcare is here to stay and healthcare stakeholders who want to remain relevant and thrive in this space, need to make the necessary moves now to incorporate AI into their operations and optimize healthcare data management.

Impact of AI on Healthcare Data Management and Healthcare Stakeholders

The amount of data available in healthcare is staggering. Data sources include electronic medical records (EMRs), insurance claims, clinical trials, drug research and development, and patient generated health data. All these points of data have the potential to change the healthcare landscape if properly managed and leveraged accordingly. However, without proper healthcare data management, valuable data can become lost among the large volumes of data points available; this is where AI can help healthcare stakeholders.

“Healthcare could save up to $100 billion a year by utilizing big-data crunching algorithms backed by AI to inform decision-making and realize efficiencies in clinical trials and research”

It is estimated that the industry could save up to $100 billion a year by utilizing big-data crunching algorithms backed by AI to inform decision-making and realize efficiencies in clinical trials and research. There are companies that are leveraging the power of AI to assist healthcare stakeholders with healthcare data management and improving healthcare delivery. Tempus is one company that is using AI tools to collect and analyze the world’s largest library of clinical and molecular data to drive precision medicine. Its AI-driven data are being used in cancer research and treatment.

KenSci is another company that is using the power of AI and big data to improve healthcare. Their risk reduction platform aggregates data from existing sources such as EMRs, claims, and financial data to help uncover clinical, operational, and financial risks. It can predict who might get sick and the drivers behind healthcare costs; it can also provide solutions to these problems. uses AI to analyze data throughout a healthcare system to mine, automate, and predict processes. It has been used to foresee ICU transfers, improve clinical workflows, and even pinpoint a patient’s risk of hospital-acquired infections.

AI-enabled applications are also impacting healthcare data management practices. Computer-assisted coding (CAC) is on the rise, utilizing NLP to read and interpret clinical documentation in patient health records and suggest applicable diagnosis and procedure codes. For CAC to be fully adopted and optimal efficiencies realized, the medical coding workflow will have to be re-engineered. As machine learning becomes more integral to reading images for diagnosis, the requirement for a physician to interpret an image may become less necessary. As such, medical coding and reporting guidelines and standards will need to be adjusted to account for AI applications.

Benefits of AI in Healthcare

AI has proven to be a boon to the healthcare industry. Some of the benefits from incorporating AI technologies in healthcare include:

  • Faster, earlier, and more accurate diagnoses
  • More efficient data mining and healthcare data management
  • Lowered costs
  • Improved patient outcomes
  • Enhanced patient engagement
  • Healthier behaviors and proactive lifestyle management with wearable technology
  • Better understanding of the patient’s condition and improved management resulting from increased insight of the healthcare team into the day to day lives patients
  • Improved clinical decision-making
  • Reduced administrative burdens and improved efficiency in managing administrative tasks
  • More efficient drug research and discovery process potentially cutting both the time to market for new drugs and their costs significantly

AI technologies are already proving to be a game-changer in healthcare and there is still a huge potential for them to do even more. Many companies including big names such as IBM and Google are investing heavily in AI for healthcare. We are on the cusp of many discoveries and breakthroughs as the potential of AI is fully realized in the healthcare industry.

Challenges/Pitfalls of AI in Healthcare

While the advancement of AI technologies in healthcare is exciting and offers numerous benefits, like everything else, it is not without challenges. Some healthcare stakeholders prefer to take a cautious approach, with some wondering how far is too far. Below are some of the challenges/pitfalls facing healthcare stakeholders and the evolution of AI in healthcare:

  • Potential biases in results based on the data used to create algorithms and ‘train’ the AI technology.
  • Transferability of algorithms ‘trained’ in one setting or population to another.
  • Data ownership, confidentiality, and consent – who owns the data? Who is responsible for healthcare data management? How will patients’ data be kept confidential? How do healthcare stakeholders handle the need for consent in research?
  • Ethical issues and professional responsibility – who is responsible when a patient is misdiagnosed?
  • Legal risks and regulatory issues – at present, regulations are falling behind the explosion in AI development and use potentially creating a legal and regulatory nightmare for healthcare stakeholders.

Healthcare is experiencing an upsurge in the development and application of AI technologies. These technologies are very beneficial in that they can perform tasks that are usually done by humans in less time and at much lower costs, simplifying the lives of healthcare stakeholders including patients, doctors, and hospital administrators. Healthcare data management is one area that has benefited significantly from AI and has resulted in better patient outcomes and cost savings for healthcare stakeholders. However, there are some serious challenges to the use of AI in healthcare that need to be overcome. While AI might not take over healthcare jobs, these challenges need to be managed before we can all completely embrace the full potential of AI in healthcare.

To find out more about how wearables and patient generated health data are part of the bigger AI picture in healthcare, contact the healthcare technology experts at Acuma Health.

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