How Doctors Can Leverage Mobile Technology For Patient Retention

The mobile wave has engulfed the world and its impact on healthcare has been nothing less than overwhelming. According to a research conducted by Markets and Markets, the mHealth technology market is expected to grow by 33% to cross USD 60 billion by 2020. Another survey by GreatCall showed that 93% of physicians believed that mHealth could contribute greatly to improving patient health. As mHealth cements its place in healthcare, let’s evaluate how doctors can leverage mobile technology for patient retention.

Reduce Wait Times

Long wait times could be listed as one of the biggest banes that patients face when going for a doctors’ appointment. Even with prior appointments, most patients have to wait endlessly to meet their doctors. And often after a seemingly endless wait, the patient is informed during a consultation that they have to come back after conducting a certain battery of tests. This is not only a waste of time for the patient but the doctor as well. With the consumerisation of healthcare, doctors can now leverage mHealth apps to take a look at patient history and intimate them of the tests that need to be done before they even meet them. Further, using mHealth apps, doctors can avoid appointment overlaps and post-appointment confirmation and notifications which ensure a smoother interaction with the patient during his/her physical visit.

Effective Communication

The right mobile apps can play a great role in making the doctor-patient communication more effective. Patients can easily store all their medical records and health history on comprehensive mobile health apps and access them anytime and anywhere. This solves the problem of the missing documents that we ever so often face when meeting with a doctor. With all the information stored in a central repository, doctors can spend the face time with the patients more productively and promote better interactions to manage the patients’ health better. This also leaves the patient more satisfied and less likely to shop around for another doctor.

Better Patient Management

Using mHealth doctors can improve patient management and become more proactive with their patients. Proactive patient management in the form of timely communication regarding patient appointments, important notifications, and updates, post-appointment messages etc. can be delivered to the patient using an app to ensure that the patient does not miss out on any vital piece of information needed to maintain their health. Along with this, doctors can centralise all patient-related information in a central data repository that can be accessed anytime and anywhere which can be of great help to manage a patients’ health remotely.

Pre and Post-Operative Care Management

One of the biggest pain points that patients have is regarding pre and post-operative care. While information is provided to them both regarding pre and post-operative care, it is usually disseminated in one session making it hard to retain the information. Using mobile apps, doctors can send out relevant information to their patients at the right time so that the patients can take the measures both pre and post operation. This not only helps in better health management but also reduces readmission rates and helps in reducing healthcare costs for the patient.

Better Transparency

Patients today demand greater information access. While the healthcare sector has adopted digital technology, they are still trying to play catch up with other sectors such as retail. Patients today demand faster information access regarding their health. Research shows that a majority of healthcare consumers prefer using digital technology to visiting a hospital to get clarifications regarding the care that they are receiving. A 2017 study by American Well states that 26% of patients are likely to change healthcare systems to find a provider offering tele-visits. Doctors leveraging mHealth can help their patients access all the health information they need and proactively answer all questions that go into better health management.

Pre-emptive Care

mHealth applications also provide a treasure trove of data that physicians can leverage for pre-emptive healthcare. Leveraging data analytics, doctors can plan better service delivery dependent on the patient requirement, and analyse and predict health conditions based on the patients’ health records to enable preventive healthcare. Further, doctors can upload tutorials on preventive healthcare and give practical advice to their patients on how to manage their health and health conditions better. All these things help in keeping the patients, the current consumers of healthcare, happy and satisfied as they find doctors becoming more invested in their health.

As they say that numbers do not lie, and going by the adoption rate of mHealth it is becoming clear that this technology trend is not only here but is soon on its way to becoming the enabler of better interactions and better patient outcomes. Using mobile technology doctors can create greater engagement with their patients and enable better outcomes. Patient retention then becomes an automatic consequence of this effort.

Here Is What Doctors Need to Know About Machine Learning And Artificial Intelligence

Statistics show that today we are battling a global shortage of doctors. According to the World Health Organization, there is a global shortfall of over 4.3 million doctors and nursing staff across the world. This shortage of doctors might not be impacting the U.S that much but the country is plagued by increasing healthcare costs that limit the time that a patient can spend with a doctor. In countries such as India that has a huge rural population and some parts of Africa for example, there is a shortage of doctors and access to good medical services. Doctors too are feeling the brunt of these rising pressures and are now looking at avenues to improve their efficiencies to improve patient outcomes and have been open to technology adoption to facilitate the same.

One technology that is gaining prominence in the healthcare sector is Machine Learning and Artificial Intelligence. A study by Frost & Sullivan highlights that the AI market in healthcare is expected to grow to $6.6 billion by 2021 from USD 7,988.8 million in 2016. According to Accenture, the use of AI in healthcare can save the industry over $150 billion over the next decade. So what is it that makes AI and Machine Learning, computing systems that can complete designed tasks independently of human intervention using algorithms that can self-learn, so beneficial to the healthcare sector?

Faster Diagnostics

Machine Learning is not just beating up board game experts but is being used extensively to recognize disease symptoms in patients. Machine Learning and AI applications can scan through thousands of documents much faster than humans can. These applications are therefore perfect for running diagnostics for medical cases that demand record and diagnostic comparisons. Analysis of tests, X-Rays, CT scans, etc. can be done faster and more efficiently by AI and machine learning systems. For example, IBM’s supercomputer Watson established its credibility as Dr. Watson when it diagnosed the exact condition that was plaguing a leukemia patient by cross-referencing patient information with over 20 million oncology records. Watson not only came up with the right diagnosis but also did the same in a matter of minutes using the power of the computing system.

Preventive Medication

Doctors across the globe are leaning in heavily towards preventive medicine. AI and machine learning systems have been of great help in this area as the computing power of these systems can help assess which patients will need medical intervention when a patient or patients are likely to fall sick, common denominators causing recurring ailments in patients etc. Using these diagnostics, doctors can take a more preventive approach to medicine for better patient health and reduce hospital readmissions.

Good pre and post-operative care are essential to reduce the rate of readmissions in hospitals. But how can doctors ensure that their patients are taking the necessary precautions to ensure the same? AI systems come of great help here. AI applications can help in providing timely alerts pre and post operation regarding the care the patient should take. They can help in optimizing the doctor’s time and schedule by ensuring that the most pressing and urgent messages reach them first. Along with this, AI and machine learning applications also have the capability to assess the mental state of the patient and hence can be immensely helpful in mental health cases. Using this information, doctors can assess who will need medical intervention and also determine the timeframe for the same.

Robots in the OT

No, the robots are not replacing the doctors in the operating room but are being of immense assistance there. Repetitive and time-consuming tasks of the operating room such as making sutures can now be done with the help of robotic automation that helps in reducing surgery time. Along with this, you have the cognitive robots who are taking pre-operative medical information and integrating it with real-time operating metrics to increase the surgeon’s instrument precision. This also helps in improving patient safety as the more tedious and routine parts of the surgery are replaced with robots running on the power of AI and Machine Learning.

Telemedicine, Online Consultations and Virtual Nurses

Voice-powered AI applications are here to answer patients queries regarding their health. These applications help in better health management, chronic disease management, and long-term maintenance, and also assess patients for potential health risks. These AI applications called virtual nursing assistants are expected to become an industry staple and help the healthcare industry save more than $20 billion. These intelligent AI applications help in reducing the time taken during physician interactions as they provide answers to most of the patient queries. The time spent with the doctor thus becomes more productive and can be leveraged more effectively.

Machine learning and AI are also helping doctors in making telemedicine more efficient by aiding better diagnosis, enabling remote monitoring using machine learning, detecting rare genetic diseases, and solving logistical challenges by using predictive analytics.

AI and machine learning are here to act as the efficient doctor’s assistants. The aim of AI and machine learning, unlike what is written, is not to replace the doctors but to help them increase their efficiencies and replace the burden of mundane tasks from their shoulders so that they can focus on the human elements of patient care.