On-demand Virtual Urgent Care - These are most common telehealth use cases today and are apt alternatives to lower acuity emergency department (ED) visits, urgent care visits, and after-hours consultations.

Virtual Office Visits - Most suited Patients with chronic conditions with the support of remote patient monitoring, digital therapeutics, and digital coaching.

Near-virtual office visits - Extend the opportunity for patients to conveniently access care outside a provider’s office.

Virtual Home Health Services - Leverage digital patient engagement tools for treatments such as physical therapy, occupational therapy, and speech therapy.

Tech-enabled Home Medication Administration - Drug delivery and administration form the clinic to the home.

There is enormous pressure on institutions, doctors, workers, patients and communities and it is impossible to keep up with the latest advancements and research. Here is the urgent need for AI to assist them with the latest information, and provide an alternative diagnosis.
We need technology and automation to replace the single physician at bedside with collective expertise through telemedicine and AI.

Also, Sensor technology should tell us what’s wrong with a person, as each has a different normal and only the sensor can tell us anomaly for each person.

Future Tech : 3 Most Important Technology that Will Change Healthcare : Telemedicine enabled with AI and sensor Technology.

But without choice, it would take time, and we need a mindset change to allow the competition on grounds of personalization, options, telemonitoring, telehealth, and enabling consults from home. But when incentives such as reimbursement are not available, we would face a barrier to adoption. In such a case, the willingness of patients alone is not enough; even when they are ready.

The revenue fall7 also pushes health systems towards value based care, this also motivates a shift from volatility of volume-based reimbursement towards capitation reimbursement models that enable more predictable income.

Digital transformation in healthcare will create inter-organizational partnerships in ecosystems as value is co-created among diverse and new stakeholders (Jacobides et al. 2018). Additionally, technological advancements have made services and technology companies the fastest-growing profit pool in the healthcare industry.

2. Healthcare is more complex and highly regulated than most other industries because of the sheer diversity of players involved from physicians to care facilities that are governed by state agencies, policymakers and credentialing entities involved.

3. Keeping up with digital transformation in healthcare can be overwhelming, because many aspects could be out of your control. To digitize any process, you have to understand the current processes, the downstream and upstream impact of those changes. And if the digitized process is in compliance with regulations.

4. Privacy concerns. A 2019 Gartner survey found that 40% of healthcare CIOs plan to spend new or additional funds on cybersecurity tools in 2020. According to Palo Alto Network, due to the long life cycles of medical devices, medical IoT devices are among the worst offenders of running outdated and, in many cases, end-of-life operating systems. These devices are neither maintained by IT nor supported by the operating system vendors.

Organizations are transforming to serve the larger market.

4. Today the care delivery model has changed; a patient does not need to wait for his doctor as he can seek an appointment online and get diagnosed from his office. Innovations in the care delivery model are happening. Patients can now consult a doctor overseas and his care would be delivered by a local hospital. AI is also driving much change by helping in diagnosis.

a. Professional Issues

• Professional Perspective - Doctors focus only on patient treatment, and consider rest as administrative nuisances

• Negative Influence - Many tech-averse physicians discourage others

• Privacy Concerns

• Application’s Opaque Privacy Policy

b. Organization Challenges

• Absence of incentives to implement health IT systems

• Initial and ongoing costs

• Technological support and Apprehensions

• Fear of Technological Obsolescence

• Poor Adoption upon implementation

c. Health IT Itself

• Only few build easy to use products

• Many require data entry and disrupt workflow

• Validity of diagnostic devices, sensors is a concern

• Opaque privacy policies

d. Patients

• Lack of trust in sharing personal medical information

• Not all are tech-savvy

Countless companies have announced their foray into healthcare because now it is centered around the patient. Like in other industries, “Single Pane” view of the entire patient journey has become paramount with the rise in the number of touchpoints and data inputs.
To ensure patient experience, various health systems have begun seeking out solutions similar to SRMs to address workflows and other unique challenges of patient engagement with better overall control.

New platforms enable patients to interact, share data, get notifications while giving organizations the ability to see their entire journey– medical history, insurance, scheduled appointments, preferences – all in one place.
But all is not so rosy, many of these applications fail miserably and create more pain that value

The complexity of healthcare technologies is more profound than the apps or tools that address a single user need because they involve patients with comorbidities that can be treated only with multidisciplinary teams working across organizations. EHR is an example of ill-considered technology incorporation that, instead of adding value, caused harm to the entire system.
A mHealth application may be very crafty, but can still fail miserably because of lack of adoption by clinicians/patients and thus every healthcare institution

as well as other players planning to develop/adopt an application, must be closely aware of the factors that influence technological adoption.

In Conversation with Christine K Jacob, the founder and Managing Director of Digi-Bridges, who is an expert in User Adoption Research and User Engagement Strategies. Her research¹¹ disambiguates the factors that influence technological adoption in healthcare, as illustrated in the graph below.

1. Customers First : They should first speak to their customers. Various startups I have worked with have great technology but they have not spoken to the patients, and that poses a great risk.

2. Usability and Effectiveness with Empathy : Understanding the user’s needs is critical in making the application easy to use and effective. An empathetic approach is needed, for instance, for cancer and chronic illness patients their condition may not allow them to use the app. You have to fit into the lives of the patients and cater to their very specific needs and keep that in mind while designing the application

3. Feedback : Companies need to talk to the users at an early stage to know what they want, to develop the right product. User feedback will help to identify the problem; sometimes, it is just the design which confuses them, and they drop out.

4. Workflow Fit and Integration : When making a tool for clinicians, one must be careful to ensure that it fits into their workflow and is not an additional task; they would not use something that adds to their effort. Also, look into infrastructure; the systems need to speak with each other.

Benefits of Big Data are no mystery, in healthcare it can help in following ways:

• Lowering Rate of Medication Errors

• Facilitating Preventive Care

• More Accurate Staffing

• Predictive Analysis

• Improved Personalized Treatment

One main reason that big data has not picked up is the lack of standardization of data that has been a long-term challenge for healthcare providers, working with the most complex and disconnected data sets.

AI is helping in many ways, from diagnostics to chatbots to drug discovery. Its aggressive use will definitely keep adding value, though ethical concerns must be addressed collectively.

For a long time, we wanted to shift from acurative to a preventive and holistic medical care system. It took a pandemic for us to come close to achieving that dream through technology. Digital therapeutics, wearables are helping people prevent chronic conditions by monitoring their conditions, and through predictive analysis. We spend 10% of our GDP on healthcare, with developed nations spending as much as 70 times those of poor-nations. Digital technology will go a long way to establish a little equitability and solve the Iron Triangle by making care effective, affordable, and accessible.

The aging population, mental health, and other areas have a lot to gain from remote care, as it not only provides them better, affordable, and more accessible care, no alternative gives them so much power and control over their health.

The challenges are seemingly daunting; everyone is wary of sharing data, cyber-attacks, and other digital catastrophes that make trust hard to come by. But on the other side, digital has a lot to give and creates an incredible amount of value in healthcare.

VR is treating kids with dementia; AI is helping with better and faster drug discovery, technology is helping in unforeseen ways.

But there are privacy concerns, over cybersecurity, and there are ethical concerns as well. To develop a better future for human health, we must collectively resolve and regulate these issues. Also, a positive regulatory perspective will be the key in deciding the pace of digital healthcare. There are a multitude of reasons to cheer for technology; we must embrace it collectively.

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