Can a health app a day keep a doctor away? Telemedicine is gaining momentum in the healthcare industry to meet the increasing demands of patients and the workforce.
Coypright by Hannah Johnson
Implementation of technology is starting to play an integral part as we are solidifying our transition into value-based care. Healthcare apps are a great way to help with health management.
Here are 10 healthcare apps to try in 2020:
WebMD needs no formal introduction. The well-known go-to ‘symptom checker’ now has an app to get trusted, physician-reviewed information on demand. It uses The app has the following features:
- Symptom Checker – you can choose the area of the body that is troubling you and learn more about learn about possible conditions by entering your age, zip code and gender.
- Physician Directory- Find a local physician, hospital, an pharmacy by entering your zip code.
- Conditions – Access to medical reviewed information regarding to a particular condition.
- Medicine – Search information on the particular drugs. Their integrated Pill Identifier Tool helps match the shape of the prescribed drug to give accurate results.
- News – Updates on the latest news in healthcare via articles, videos, and slideshows.
- Medication Reminders – Daily dosage reminders with images of the medication and timing information.
The app uses machine learning to provide accurate information. In a recent update, users can also use voice over instead of typing to get results. Recipients like to use the app for looking up drug interactions, conditions, symptoms, and many more. WebMD has a big database of information, a user can simply use the search tool or modify their search via the categories listed.
Founded by doctors, scientists, and industry pioneers, ADA is a medical app used in 140 countries since it’s global launch in 2016. The app’s instant messaging design allows users to enter their symptoms. ADA’s AI technology asks simple questions to get a better idea of the user’s symptoms. Through classification, clustering and information extraction, ADA pulls data from it’s integrated medical library to help the user understand their health better and further manage their symptoms. Data stored in the virtual medical library makes it simple to match the questions asked with the information available. ADA extracts patient-friendly medical information providing a comprehensive understanding of their symptoms. Its design is outstanding with the best fonts and visuals or UI and UX as well, you can check the fonts at FONTALIC .This is not a medical diagnosis. This is secure app where users have to enter their unique password to log in. Users are advised to seek a professional if their symptoms get worse.
Hucu.ai is a FREE person-centered messaging network with real-time patient health & staff attrition risk reporting. Innovative post-acute care physician groups and skilled nursing operators are downloading the mobile app (available both in iOS and Android) and improving communication and collaboration immediately. They help solve key healthcare problems that cause inefficiency and frustration for everyone involved in a value based care model. Hucu.ai’s easy-to-use messaging system makes it simple for providers to communicate in determining the best care plan for a patient.
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1 and 5 people will be diagnosed with skin cancer. According to their website, “SkinVision introduces an integrated dermatology service as a preventive healthmedium that helps you stay on top of your skin health. “This app helps detect skin cancer by self-monitoring a mole on the skin and assessing the risk. Users can use the camera on their smartphone to take a picture(s) of the problem spots on their skin. Using AI, the app takes 30 seconds to conduct the scan looking for signs of cancer. A report is generated of low, medium, and high risk. SkinVision sets reminders for the users to retake the assessment. Image recognition experts keep track and if a risk is detected, the user is immediately notified to approach their doctor.
A virtual reality nursing assistant avatar that checks in with the patient once or multiple times a day. The avatar can ask the patient to check their vital stats such as their weight and blood pressure, give feedback, and ask questions pertaining to their condition. The embedded AI technology records the results that is then funneled back to the physicians. Patients can communicate with the nurse avatar by clicking on the options provided on the screen. Sense.ly can also communicate with the healthcare providers by calling and scheduling on behalf of the patient.
The avatar can check in with the patient verbally once or multiple times a day. They can collect important information such as weight, blood pressure, and specific questions about their condition. All of this information is transported to the physician virtually. The app also compares patient’s results to their previous history and points out any risk or concerns. The developed robotics enables the avatar to store and match information giving the patient the same doctor visit experience.
Scheduling a doctor’s appointment can cause inconveniency and frustration. Babylon, is a healthcare app that gives access to booking a doctor’s appointment via video without having to make a phone call or spend time waiting in a waiting room. Babylon also has the ability to deliver a patient’s prescription to their nearest pharmacy or even their home or workplace. An integrated ‘Symptoms Checker’ creates a health report by answering questions based on family history, mood, and lifestyle – almost like having a General Practitioner at hand. The purpose is to make positive lifestyle changes.
Babylon’s AI interface is designed to portray a doctor’s brains, therefore, providing the same care to patients at home. The algorithm has been developed by a team of scientists, engineers, doctors, and epidemiologists in developing machine learning research capabilities
Saliency AI is used in the pharmaceutical industry to leverage deep learning in research and development. When biomedical companies develop a biomarker, they have to gather information from many sources which comes in various formats, leading to disorganization. Saliency AI helps researchers diminish their time organizing data and instead use that time analyzing the data. The algorithm has built in security features that keeps data safe and secure for scientists to access anytime.
Saliency.ai does not require access to researchers’ data. Images of different formats can be uploaded in Saliency.ai that appear on a dashboard. Labels, tasks, annotations, and notes can be written for each image file. By doing so, all data is visible and organized in one place.
A health wellness monitoring app that only needs a smartphone camera to function. Binah.ai is a video-based vital signs monitoring app. All users need to do is turn on the app and look into the camera. In about 2 minutes, Binah.ai scans the face by analyzing light waves from the cheeks and report vital signs such as heart rate, HRV, oxygen saturation, mental stress, and blood pressure. It also displays the normal ranges and
saves the results. PPG sensors in smartphones send light to the user’s face and Binah.ai analyzes the light reflection. No internet activity is needed for the app the app to function.
According to their website, binah.ai, “Binah.ai uses a revolutionary data science platform combining signal processing nad machine learning coupled with a proprietary, comprehensive AI, deep-learning framework that delivers best-in-class results in terms of accuracy, performance, and stability. The usage of signal processing allows for the delivery of consistent, highly accurate results. Based on the following capabilities: increase of Signal-to-Noise Ratio (SNR), creation of clean data, and outliers elimination.
A preoperative app that brings EMRs to life. Peri has 3 core features: Peri-Mobile, Peri-Patient View, and Peri Dashboard out of which Peri Mobile is the AI assisted app. Patients are given access to the app before their scheduled procedure. Instructions, reminders, important dates, locations, pre and post operative instructions are recorded in the app. The data is transported to the patient’s EMR where hospital staff have direct access to. This is a better and effective alternative than to keep track of patient reminders at every step of the preoperative journey.
The app’s interface is built on planning, scheduling, and optimization. The goal of the app to prevent the patient to keep coming back to the hospital before and after their procedure. Hence, the app uses a color system to let patients know of the status of their assigned tasks. A red asterisk informs the patient of missed tasks. Completed tasks turn green. The app also has a chat feature making it easy for patients to get more information about their procedure.
AAn all-in-one clinical decision support tool. The app can be conveniently used anywhere by anyone. Pepid is built on an information extraction system that holds information for more than 3000 clinical conditions, hi-definition radiographic images, and illustrations thus creating a large knowledge database. It’s content comes from 2 sources. First, information is synched from their content partners (ASHP, AAEM, FPIN, BEEM, NAEMSE, and NACNS). Second, their in-house editorial staff (physicians, nurses, and pharmacists provide data. Users can find answers to medical questions (drugs, conditions, etc) fast. The app also provides recommendations based on the search mimicking the experience of consulting another clinician.
In simple terms, users have access to an up-to-date medical library and relevant drugs. They can search for a specific condition or symptoms and find material related to drug interactions, protocols, handouts, prognosis, and prevention. Pepid’s goal is to improve quality, safety, and efficiency of care.