Many tech entrepreneurs complain about the difficulty of finding a problem to solve with an app. The best and most sustainable apps are always the ones that provide solutions to problems people face in their day-to-day experiences.
Healthcare app development is entering its golden age, with AI and advanced technologies unlocking new opportunities for personalized care, operational efficiencies, and patient outcomes. From medical coding automation to remote therapeutic monitoring, we’ve already seen how technology can directly address some of healthcare’s most persistent challenges. This is the best time to get in and provide solutions to these issues.
There are so many areas in the healthcare industry that can benefit from apps. In this article, I will discuss some of the biggest problems in healthcare today and how mobile apps can address them.
Table of Content:
- Reducing Misdiagnosis with Technology
- Expanding Access to Advanced Clinician Training
- Early-stage Disease Detection
- Tackling the Opioid Overdose Crisis with Digital Solutions
- Lowering the Cost of Healthcare Services
- Replacing Manual Work with AI
- Bridging Healthcare Gaps in Rural and Underserved Areas
1. Reducing Misdiagnosis with Technology
A study from 2019 claimed that between 40,000 and 80,000 deaths each year in the US were caused by misdiagnosis. And a more recent study published in BMJ Quality & Safety in 2023 reveals that diagnostic errors in the US lead to approximately 795,000 serious harms annually, including 371,000 deaths and 424,000 cases of permanent disability. This staggering figure highlights the critical need for improvements in diagnostic accuracy, as nearly 800,000 Americans either die or suffer lifelong disabilities due to misdiagnoses each year. These numbers far exceed previous estimates, emphasizing that misdiagnosis is a much larger public health crisis than initially thought.
While no doctors will think about killing his or her patient, they are often directly responsible for these deaths due to misdiagnosis. At the foundation of every patient-doctor relationship is trust.
Patients trust their physicians to conclusively determine what is making them sick and provide the appropriate remedy. Doubts about the doctor’s capability to perform his or her responsibilities accurately erode trust. Patients shouldn’t have to worry about determining the proficiency of their physicians. Spending 30 minutes googling is no way to judge how well a 10-18 year medical training turned out.
Statistics like the one above certainly don’t make it any easier. There is only one way to solve this problem in healthcare forever, and that is to bring those numbers down to zero.
What are the technological solutions that can help doctors diagnose more accurately?
AI-powered Diagnostic Tools
AI-powered solutions like those we developed for GaleAI are revolutionizing the speed and accuracy of diagnoses. For example, GaleAI automates the process of coding medical notes within seconds, reducing human error and identifying millions in missed revenue due to undercoding. This same AI-driven precision can be applied to diagnostic tools, enabling faster and more accurate identification of diseases based on extensive medical data.
With custom AI solutions for diagnostics, we integrate machine learning models capable of analyzing vast datasets, from medical records to real-time patient biometrics, providing doctors with actionable insights that minimize diagnostic errors.
Related: 7 Reasons Healthcare Applications Should Use Blockchain
Symptom Trackers
Symptom trackers are another way to help clinicians access as much information about their patients as possible. The biggest challenge during a consultation is getting an accurate patient history.
By the time patients go to the clinic, they usually can’t remember each and every symptom they experienced. The physician has to be skilled enough to conduct a thorough interview to extract as much information as possible.
A diagnosis can be swayed in a totally different direction even by just a single omission in patient history. Unfortunately, this is more common than we’d like to admit.
Symptom trackers like Smarter Symptom Tracker reduce this risk by bringing patients on board. They can encode symptoms in real-time and their physicians can access an accurate record of their history on each. If the patient is faithful in recording the data, a 100 percent accurate history is attainable.
Tools like Apple’s HealthKit and Google Fit have made it possible to integrate biomarker tracking in everyday life.
These systems, when combined with AI, allow doctors to predict potential diagnoses faster, improving clinical decision-making and overall patient care.
2. Expanding Access to Advanced Clinician Training
Each year, thousands of students graduate from medical school in the US. They, together with thousands of other doctors from foreign medical schools, compete for the limited slots in residency training programs across the country. It is not uncommon for some to wait for several years before being accepted into a training program. Some never get admitted at all.
Residency positions are limited by law. The reason for this is funding. This creates an artificial shortage of certain skill sets and directly impacts the delivery of healthcare services.
While technology can never replace a rigorous hospital training program, it can help to lower the cost of delivering such training and pave the way for hospitals to admit more residents even with their limited resources.
What are some of the tools we can use to reduce the cost of training?
AI & VR in Medical Training
Studies have been conducted that show that virtual reality can be reliably deployed to train physicians for specific procedures. With VR, a consultant doesn’t have to be in the same location as the resident or intern.
One challenge caused by the limited number of specialist physicians is the reduced number of trainers. With VR, this barrier can be crossed. Physicians in different locations can provide the same level of training to students far and wide.
AI combined with virtual and augmented reality has the potential to overcome geographical and resource limitations in medical training. For example, our work with Allheartz involved using computer vision to automate menial tasks in sports care and physical therapy, while AI-guided remote therapeutic monitoring (RTM) reduced injury rates by 70% and cut in-person visits by 50%. This same technology can be applied to medical training, allowing doctors to practice complex procedures in simulated environments with real-time AI feedback on their performance.
Companies like Alera Systems are already utilizing VR to deliver medical training services. Los Angeles Children’s Hospital already uses VR in their residency training programs.
VR, when combined with augmented reality, can be a powerful tool to create compelling training experiences.
3. Early-stage Disease Detection
Diseases such as cancer, as well as events such as aneurysms and strokes often catch doctors by surprise. It’s often too late to do much and a lot of patients lose their lives not because they cannot be saved but because it’s too late to save them.
Sitting is the new smoking, and lifestyle diseases are on the increase. Cancer, diabetes, obesity, heart disease and kidney disease are all lifestyle diseases. They’re triggered by factors that include sedentary lifestyle habits, bad food choices and lack of exercise.
We know the risk factors well but disease detection is often too late.
What are the possible solutions to this problem?
The technology to intervene already exists. Take this story for instance. A woman was on holiday at the World of Illusions in Edinburgh in May of 2019. When she took a photograph at a tourist attraction with a thermal imaging camera, she noticed her photo showed a yellow-colored hotspot on her left breast.
She went to see her doctor upon returning to Berkshire and it was confirmed that she had early-stage breast cancer. She was put on treatment and has since recovered.
This was an accidental early-stage detection. She had no signs or symptoms but was walking around with a potentially lethal disease. Had the detection been late, she could have lost either her breast or her life.
AI and Smartphone-based Imaging
Thermal camera add-ons for smartphones combined with medical imaging apps can be used to create a breast cancer scanner. When integrated with AI, you can extend the possibilities.
Wearable Biotrackers and AI Integration
Biotrackers on wearables like the Apple Watch and Fitbit can be used to create a patient profile that can be fed into an AI-powered app that analyses this data for specific risk factors.
Sleep patterns, wake and activity patterns, blood pressure, nutrition markers and more can all be used to create an early detection system for specific health conditions. When a risk is detected, a notification can be sent to both the patient and their physician for further testing to be conducted.
Disease early detection is the concept behind Apple’s move to include an ECG in the Apple Watch Series 5. We’ve written about what bio-trackers can be tracked with wearables in a previous article. You may read it here.
Telehealth for Early Detection
This is a prime area for the implementation of telehealth technology. Instead of waiting to schedule an in-person meeting with your physician, you can book an e-consultation using patient scheduling software. If there is still a need for an in-person appointment, you can easily have that scheduled thereafter.
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This would bring health services within reach. Concerns can be addressed quickly and debilitating consequences avoided.
4. Tackling the Opioid Overdose Crisis with Digital Solutions
The opioid crisis is the biggest medical scandal in the US in centuries. Millions of people are addicted to pain medication and the CDC estimates that 130 people die every day due to opioid drug overdose. That’s 1 person every 11 minutes, every day. This costs the American economy a whopping $78.5 billion each year in medical services, lost productivity, law enforcement and legal services.
The fundamental problem is that healthcare institutions and practitioners are failing to keep track of who’s getting the medicines, how much they are taking and where they are getting them from.
How can we solve this problem?
Digitizing Prescription Monitoring
Digitizing the drug prescription process is one sure way of ensuring end-to-end monitoring and effective law enforcement. Paper prescriptions make it very easy for anyone to claim a lost prescription and request a new one for a refill.
Find out more about How To Integrate E-Prescribing Into a Medical Mobile App
Physicians have too much on their plate to track each and every patient and how they comply with drug therapy. But software doesn’t have this problem. By using APIs like TruePill, healthcare institutions can become more accountable and track exactly who got which medications and when.
Notifications can be generated to remind patients to drink their medication. Once a medication has been taken, the patient must make a note in the app. Sometimes patients overdose because they forget that they’ve already taken their dose for the day and end up drinking more than they need to. Not all overdoses are due to addiction.
Using AI and Centralized Data Sharing
For this system to be truly effective, data has to be shared across a centralized healthcare network. Today, the healthcare system in the United States and in some parts of the world are siloed. This is to protect the financial interests of health institutions but too often at the expense of patients.
Alarms can be built into the system to flag physicians who overprescribe medications for certain patients. Also, by adding AI to the mix to interpret past medical records, apps can warn physicians about a patient who is a potential drug abuser.
AI in E-prescribing and Monitoring
AI-powered e-prescribing tools, like those built with TruePill APIs, can help track prescriptions and patient adherence to prevent over-prescription or overdose. These systems monitor prescription patterns in real-time, flagging potential risks and alerting physicians to unusual patient behavior. Our experience in integrating such systems ensures compliance with regulations like HIPAA while addressing this national crisis head-on.
I know the PC police might find these measures too drastic but there are ways to ensure privacy is not compromised. A crisis such as this one calls for unprecedented measures to stop the chaos.
The first steps have been taken to address this problem as we have seen from record legal settlements such as the recent one in Ohio. The efforts should go beyond that and everything must be done to prevent this from ever happening again.
5. Lowering the Cost of Healthcare Services
The Emergency Room has turned into an outpatient facility. This is not sustainable. Too many people can’t afford basic healthcare and are turning to the ER for basic checkups.
It’s not easy to turn people away just because their case is not an emergency. Health professionals have sworn to provide care, not shun people from it. It behooves every committed healthcare professional to seek out solutions for this often unpublished problem.
So what’s behind this phenomenon? Rising healthcare costs. It is well known that the US has some of the most expensive healthcare services in the world – and it isn’t surprising to see many apps being built to calculate costs for treatments. Being uninsured is just as good as being barred from getting access to healthcare services.
The system is designed to benefit insurance companies, pharmaceutical corporations, and healthcare service networks. Patients are the least beneficiaries in the pyramid and yet the ones upon whom the whole industry is built.
Surely there must be ways to stop this escalation. And indeed there are!
Many health tech startups are exploring the widespread use of telehealth technology to deliver healthcare services to less privileged communities locally and abroad.
One such firm is Vsee. Using secure video chat and end-to-end encrypted chat, they are able to deliver complete e-consultation services to people in the comfort of their homes or offices.
Services such as telehealth commoditize healthcare services to a point where anyone can take out a credit card and pay for a much-needed consultation. The distance barrier is limited and they can access doctors beyond state borders. It is a form of Uber for healthcare.
As the population ages, the demands on the health care system will increase. In the face of a looming shortage of physicians predicted to hit by 2032, it’s technologies like telehealth that are helping to cushion the effect of this lack.
How safe is telehealth?
Data security is a big concern today. It’s understandable when patients worry whether their information is going to be stolen or shared with the government. But the opposite is true. Telehealth is as safe as being physically in the hospital.
Encryption tools such as Virgil Security’s SDK make it impossible for app owners and network owners to access any of the data between exchanged between the patient and their physician. The communication is private and cannot be intercepted.
Telehealth to treat lifestyle diseases
Most hospital visits are due to lifestyle diseases like obesity, hypertension, diabetes and similar. These can be monitored with telehealth and patients can easily comply with a doctor’s instructions without going to the hospital. Patients can save travel costs and time by using telehealth for non-critical checkups.
Related:
How to Create a Winning Telehealth App
Understanding App Development Costs
How long does it take to develop an app
Diabetes Management App Development
By integrating HealthKit and Google Fit in a telehealth app, people can get instructions for exercise, sleeping patterns, and nutrition. Their data gets encoded and the app can track the patient’s compliance and send a regular report to the physician.
Today’s telehealth services also extend to such subdisciplines as telepsychiatry, teledermatology, telenursing, etc. Clinics are looking for telepsychiatry app development services to empower mental health specialists with the modern suite of tool for delivering effective remote care.
Related: How to Create a Mental Health App
Coupled with wearable bio-trackers and e-prescription technology, telehealth promises to bring immense progress in healthcare service delivery. We’ve written an extensive article on telehealth here. Please spare some time to read it. You will learn a lot from it.
6. Replacing Manual Work with AI
The healthcare industry is plagued by excessive administrative tasks that eat up valuable time doctors and healthcare providers could spend on patient care. Manual tasks like data entry, patient record management, and appointment scheduling can bog down medical staff and increase the likelihood of human error.
Generative AI and Automation
Generative AI has the potential to drastically reduce, if not eliminate, many of these time-consuming manual tasks. For instance, AI-driven systems can automatically generate medical reports, summarize patient records, and even assist in charting patient notes during consultations.
At Topflight, we’ve developed AI solutions that handle everything from generating accurate CPT codes to summarizing complex medical records, significantly reducing the burden on healthcare providers. These AI tools streamline workflows, allowing doctors to focus more on patient care and less on paperwork. Generative AI capabilities are particularly promising, enabling healthcare providers to automate routine documentation and billing tasks with minimal oversight.
By integrating AI into every step of the administrative process, healthcare providers can operate more efficiently, reducing errors and improving both the speed and quality of care.
- Automate administrative tasks like appointment scheduling, data entry, and patient record management.
- Use generative AI to automatically summarize medical reports and patient records.
- Reduce the risk of human error in documentation and billing, improving operational efficiency.
7. Bridging Healthcare Gaps in Rural and Underserved Areas
Access to healthcare remains a significant challenge in rural and underserved areas. These communities often lack the infrastructure and resources necessary for delivering high-quality medical care, leading to worse health outcomes and higher mortality rates. Limited access to specialists, coupled with the difficulty of traveling to urban centers for advanced care, creates a barrier to effective healthcare.
Telehealth and AI-powered Remote Care
Telehealth combined with AI has the potential to bridge these gaps. Remote diagnostic tools, AI-powered symptom checkers, and teleconsultations can bring quality healthcare to even the most isolated communities. With AI assisting in diagnoses and treatment plans, rural clinics can offer advanced care without requiring specialists to be physically present.
We’ve seen this in action with Allheartz, which uses AI-driven remote therapeutic monitoring to reduce the need for in-person visits. Similar technology can be applied to rural clinics, allowing healthcare professionals to monitor patients remotely, track symptoms, and intervene early when issues arise.
- Use AI-powered telehealth platforms to deliver care remotely to underserved communities.
- Enable rural clinics to access advanced diagnostic tools and specialist expertise without on-site specialists.
- Provide continuous remote monitoring and symptom tracking for at-risk patients, leading to early interventions and better outcomes.
Conclusion
The healthcare problems we face today present themselves as opportunities to create stable businesses for the visionary entrepreneur. Do you want to solve any of the medical challenges we’ve discussed by custom developing your own app?
We’ve worked with many health care professionals to create cutting edge mhealth apps that are saving lives in the real world today. Smarter Symptom Tracker, Quartz Clinical and are just some of the many we have built.
Do you have an app idea and need help making it a reality? Talk to us. Click here to send us a message right away.
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