Table of Contents
- Defining mHealth
- Benefits of mHealth applications
- Verification/Assessment of Mobile health applications
- Importance of mHealth in Neurological Patients
- Utilization of m-health in Neurology
- Clinical Trials and Patient Assessment
- Data Assortment and Medical Records
- Education and Training
- Table 1: Examples of mHealth Applications in Neurology
- 1A. Neurovascular
- 1B. Epilepsy
- 1C. Movement Disorder
- 1D. Headache
- 1E. Neurorehabilitation
- Challenges/gaps
- Further Reading
- Bibliography
Primary Category
Digital Neurology
P-Category
Secondary Category
S-Category
Authors:
Youtube Video:
Defining mHealth
World Health Organization stated mHealth as:
“The use of mobile and wireless technologies to support the achievement of health objectives (mHealth) has the potential to transform the face of health service delivery across the globe.”[1]
- Also defined as “The use of mobile computing and communication technologies in health care and public health” [6]
- About 5 billion wireless subscribers worldwide and 70% of them belong to low-middle income countries. [1]
- As of 2021, Google Play App Store and Apple App Store are the two largest app stores depending upon the availability of mobile apps to their users
- 3.48 million apps on Google Play Store
- 2.22 million apps on Apple App Store [3]
- Medical Apps available on app stores
- The utilization of Information and communications technologies (ICT) in the healthcare system termed eHealth has been increasing over the years and the provision of mHealth via applications is the new norm of the twenty-first century. [2]
- From Home-visits to Hospital-based care to the advent of mobile technology, the healthcare system has revolutionized over time.
- Need of the hour to incorporate mHealth as a part of the current healthcare system as it will
- Refine quality and continuity of care
- Make better the health information system
- Improve the life quality of patients by preventing and early detection of acute as well as chronic diseases [7]
- The implication of mobile health is not an easy task as the systems being used to build mobile apps should be intelligent enough to make decisions with the use of evidence-based algorithms
- Clinical Decision-Support System (CDSS) is a software that integrates patient-related factors such as age, gender, ethnicity, health status with the computerized clinical knowledge basis that can be effectively used to operate Health related apps
- Will minimize the medical and clinical errors
- Will timely provide patient data to the healthcare physician
- Will interlink patient-centered data
- In order to effectively implement CDSS, first, we need data about physician decision making processes during the patient-clinician encounters that will refine the system and will make it error free[8] [9]
- mHealth and all related applications should address both physician preferences and patient needs but we need systems and tools that should be more patient-centered.
Benefits of mHealth applications
- Research done by Hussein et. al. depicts the adoption of a mHealth application by patients that will benefit their
- Need to increase awareness about how any mHealth application will benefit them.
- How to use it in the most effective way[14]
- According to Health Belief Model, the perceived benefits factor has played a major role in the adoption of mHealth applications as these applications were perceived as
- Easy to use
- Time-saving
- Cost-effective as most of them are free
- Accessible
- Enable two-way audio/video communication[14]
- Will allow continuous monitoring of the patient's health, blood pressure, heart rate (stroke patients)
- This regular self-monitoring by patients will result in fewer out-patient visits
- Necessitating a visit by the patient only when needed [13]
- An International survey done in 2012 highlighted the impact mHealth can have on patient behavior such as daily exercise, medication intake.
- Three-quarters of patients considered mHealth as a tool that will help reach their disease control targets
- 60% enlisted mHealth as a means to let them take care of themselves independently[15]
- With the increase in ownership of mobile phones by population and access to the internet, mHealth interventions are improving the already existing digital divide.
- Upgrading healthcare in vulnerable populations
- Providing access to health interventions worldwide
- Still, the digital divide exists globally due to the illiterate, low-income population in LMICs.
- Localization of the mobile manufacturers will decrease the cost thus improving technology access and affordability.[21]
The headline findings of the Whole System Demonstrator program revealed that effective delivery of mHealth (telehealth) services will decrease
- Accident & Emergency admissions by 15%
- Emergency admissions by 20%
- Elective admissions by 14%
- Mortality rates by 40%
- Bed days by 14%
Thus necessitating the enforcement of mHealth to have better healthcare outcomes [16]
- With the innovation of cloud computing, mobile devices can now offload large amounts of data to other devices and data can be backed up on mobile phones whenever required via synchronization.
- This will allow long-term storage of patient data, thus enabling its retrieval whenever needed [11]
- Recently, NIH and ONC approved an initiative “Precision Medicine Initiative” which has been commenced to test the technology that allows patient-data sharing using Genomic Data Commons, Cancer Genomics Cloud Pilots, and Genomics Application Programming Interface.
- This will allow the computing and sharing of patient data. [30]
Verification/Assessment of Mobile health applications
The Food and Drug Administration Agency
- Policy for Device Software Functions and Mobile Medical Applications was first issued by FDA in 2013 then it was revised in 2015 and 2019.
- Defined the mobile application and mobile platforms
- Set the regulatory approach for software functions
- Advised regulatory requirements. [27]
FDA has been authorized to provide guidelines about the advent of mobile apps but it only provides data regarding patient safety using that application along with functionality.
- FDA has categorized the mHealth apps as
- Class I - least risk devices that just need general control
- Class II - pose risks to patients, needs general control along with premarket FDA approval
- Class III - applications with greater risk thus necessitating approval by FDA [19]
Xcertia mHealth App Guidelines
- This guideline panel was first formed in 2012, then updated in 2017, 2018, and 2019 with the availability of public comment. This panel included the following founding members
- American Medical Association (AMA)
- American Heart Association (AHA)
- Healthcare Information and Management Systems Society (HIMSS)
- U.S. Food and Drug Administration (FDA)
- Mobile Marketing Association
- DHX Group [22]
- In order to ensure mHealth delivery to the population along with goals to improve its adoption and utilization Xcertia guidelines are categorized into 5 sections;
- Privacy
- Security
- Usability
- Operability
- Content [22]
- A NIST Cybersecurity Practice Guide titled "Securing Electronic Health Records on Mobile Devices," was released by the NCCoE. The rationale to release this guideline for the healthcare system includes
- The popularity of mobile devices use to access and transmit electronic health records
- Risk of patient data-stealing if no proper system came into account
- To make sure healthcare providers can share data using tools fulfilling cybersecurity standards [23]
mHealth Task Force Recommendations
In 2012, the Task Force created the community to set goals in order to provide care using wireless technology.
- Identified barriers in the adoption and advancement of mHealth
- It put forth five goals to be in consideration while making the recommendations
- “Goal 1: FCC should continue to play a leadership role in advancing mobile health adoption.
- Goal 2: Federal agencies should increase collaboration to promote innovation, protect patient safety, and avoid regulatory duplication.
- Goal 3: The FCC should build on existing programs and link programs when possible in order to expand broadband access for healthcare.
- Goal 4: The FCC should continue efforts to increase capacity, reliability, interoperability, and RF safety of mHealth technologies.
- Goal 5: Industry should support continued investment, innovation, and job creation in the growing mobile health sector. “[35]
Health Insurance Portability and Accountability Act
- Protected Health Information is essential to HIPAA
Relates to the past, present, or future physical or mental health or condition of an individual; the provision of health care to an individual; or the past, present, or future payment for the provision of health care to an individual” that is:
Transmitted by electronic media;
Maintained in electronic media; or
Transmitted or maintained in any other form or medium. [41]
- Apps that gather, store, and transmit patient data are required to comply with HIPAA as it
- protects the secured patient information from threats and cyber-criminals.
- prevents non-permissible sharing of patient data
- maintains the integrity of the data [42]
Importance of mHealth in Neurological Patients
- Since the invention of the first smartphone in the 1990s, [10] not only the communication perspectives have changed over time but it has also revolutionized the healthcare system.
- From effective physician-patient communication to patient daily health monitoring. Mobile phones have become commonplace in the healthcare system, especially in neurology.
- In the healthcare system, mobile phones have made it easy for patients to
- Make appointments
- Reminders about scheduled appointments, medication intake, healthy dietary intake, and any lab tests needed
- Receive their medical reports via the use of 4G services[12]
- But the use of mobile health goes far beyond this in the field of neurology
- Blood pressure monitoring apps allow post-stroke patients to self monitor their blood pressure
- Increased BP awareness
- Reduced stress among the patients
- Increased adherence to medication [17]
- 6-month survey observing the impact of mHeath revealed 87.5% emergency department visits in mHealth care group as compared to just a 20% decrease in the group receiving standard care (SC).
- Even physicians received weekly reports of patients in the mHealth group
- Retrieval of the 6-month report was also possible
- Daily alarm or email reminders made continuous monitoring of the patients in the mHealth group easy as compared to the SC group. [18]
- Diagnosing epilepsy became easy per the availability of mobiles to record seizures right at the moment. [33]
- Even the patient can send the video of his movement disorder to the neurologist from anywhere on the globe, [34]
- Mobile applications such as ‘Speak it’ converting text into speech can help patients with stroke or aphasia. [43] [32] Similarly, another application that helps with anterograde amnesia will also benefit the patients.[31]
Utilization of m-health in Neurology
mHealth also known as the Internet of Things has advanced over the years and it is not only helping the patient to track record of their health but also easing the ways for the physicians especially neurologists, researchers, and clinicians.
Clinical Trials and Patient Assessment
- Mobile apps and wearable technologies have made clinical trials easy and improved the strategies.
- Patients with chronic diseases can continuously monitor themselves and thus this can be utilized in the clinical trials
- Pharmaceutical companies are planning to use mHealth technology in clinical trials[25]
- A meta-analysis done to observe the stroke risk factor control using mHealth revealed greater HbA1c reduction and abstinence from smoking among the stroke participants at the end of 6 months. [26]
- Benefits of implementing mHealth in clinical trials include
- Acquiring real-time data
- More accurate continuous data collection
- A better understanding of patient adherence
- Telemonitoring reduces monitoring effort. [25]
Data Assortment and Medical Records
The Office of the National Coordinator for Health Information Technology (ONC) acknowledged research platforms that will boost the research strategies by providing new mHealth approaches. [28]
- One example of such a platform is Apple ResearchKit. This will enable neurologists to
- Gather more data related to their area of interest
- Carry out surveys
- Sharing of results with the community
- Visual content creation[29]
Mobile Electronic Health records have become a norm with passing years and many guidelines have been commenced to decrease the vulnerability of patient records.
- Many Hospitals have started mHealth as a part of their healthcare system to provide care to the patients.
- M Health by the University of Minnesota is proving care to patients using mobile Electronic Health Records.
- Patients are able to access their medical records using mobile applications and if their records are on the M Health they need not transfer as their physician can access them.[24]
Education and Training
Mobile apps help not only to educate patients but are also a tool to bring information to neurologists.
- Many applications have been launched that help students, residents, and neurologists gather knowledge. These include
- Neuro toolkit,
- NeuroMind,
- e-Anatomy, and
- Calculate (QxMD), etc.
- Similarly, there are many apps and websites for patients where they can access data and gain knowledge about their health conditions and neurological disorders These include
Thus, mHealth has made knowledge readily available, accessible, and updated.
Table 1: Examples of mHealth Applications in Neurology
1A. Neurovascular
mHealth Apps | Particulars |
Speech therapy app that helps stroke patients with aphasia
Improves reading, writing speaking, and listening | |
Helps patients to practice finger movements
Improves learning pincer grip to full finger movement | |
Helps patients to improve their cognitive thinking | |
Provides stroke-related information to the patients in short segments | |
Uses AI algorithms to support clinicians interpreting scans | |
Mobile app with two NODE sensors
Sensors on the chest, arm, or leg send motion data to the app | |
Integrates NIH scale and scoring with AHA guidelines
Assist in diagnosing, documenting, and transferring decisions | |
mHealth app | Uses AI technology to observe facial movements and speech
Helps with early identification of stroke |
Uses different neurology and neurosurgery scales to diagnose patients with stroke |
1B. Epilepsy
mHealth Apps | Particulars |
AI-Powered Epilepsy Management - Endorsed by Epilepsy Foundation. | |
Tracks seizures, medication routine, and factors affecting the condition of the patient. | |
Helps to keep a record of seizure length, intensity, triggers, and symptoms.
Video can be captured and kept for the record. | |
By Epilepsy Foundation.
Helps anyone to manage seizures who encounters seizures happening around him. | |
Allows patients to set an alarm when the apple app observes any repetitive or abnormal movements. | |
FDA-approved app that records seizures.
Sends data to the caregivers for better management of epilepsy. | |
Helps patients record their seizures just by using a simple button.
Allows patients to share data with their doctors. | |
Helps physicians and neurologists to learn EED and diagnose seizures. | |
Software and Hardware EEG mobile application.
Records EEG of the patient and removes artifacts. |
1C. Movement Disorder
mHealth Apps | Particulars |
Detects changes in patients’ voices.
Helps with muscle movements to make voice better. | |
Helps to swallow saliva and improve muscle movements. | |
Keeps record of patient’s symptoms and disease progression along with medication reminder.
Recorded data helps physicians to know the progress of their patients.
| |
Uses AI to help decision-making.
Provides clinicians with content that helps diagnosing and decision making. | |
Helps physicians to access the severity of Parkinson's symptoms and the progression of the disease. |
1D. Headache
mHealth Apps | Particulars |
Records and identifies your migraine symptoms. | |
Records migraine and show this to you in the form of charts or calendars. | |
Identifies migraine, triggers and provides the best management for your headache. | |
Record and shares ingo with your doctor not only of migraine but also your health record. | |
Helps record and share the data with your physicians. |
1E. Neurorehabilitation
mHealth Apps | Particulars |
Helps patients to maintain balance.
Patients exercise by moving their feet around the clock face. | |
A game-based app to help patients.
Improves speech, finger dexterity, and also the mood of the patient. | |
Helps with speech and language.
Reads texts aloud and helps patients with dyslexia. | |
A physiotherapy app helps patients to do exercise along with reminders about their appointments. | |
Videos depicting the normal swallowing process.
Clinicians can use it to educate people. | |
Stroke-specific app showing videos about limb rehabilitation.
Heps clinicians refine reasoning and rehab techniques. | |
Helps pro athletes refine their technique.
Clinicians can ask their patients to make videos to watch later on. |
Challenges/gaps
- Though mobile phones have gained popularity because of their smaller screen, do mobile phones really have access to the real web page?
- As we all notice the difference in the appearance of websites on the laptop and mobile phones. So, if the answer is yes, after centralizing mHealth we need to advance the websites according to the mobile specifications to render the best form of technology. [36]
- Issues like network access, internet speed, bandwidth, and signal strength should be addressed most importantly in rural communities so that better universal health should be delivered. [40]
- Though there are many apps available to access and monitor patient health only a few are approved by FDA
- Apps providing patient’s data to the physicians should abide by federal laws
- Physicians should be aware of fraudulent apps as recommending those will affect their career
- mHealth is growing so fast that it is now really difficult to approve and certify apps and then to regularly monitor them [19]
- The next challenge that will arise will be interstate laws or practice
- Will the physician be allowed to provide care via mHealth in another state or country where he is not licensed to practice?
- Either that state has amended the medical laws to include mHealth as a part of care?
- We need multistate licensure to be in effect to address this problem.[20]
- The Interstate Medical Licensure Compact (IMLC) will help physicians address this issue thus allowing them to practice in multiple states as it has been adopted by many states
- objectives of this are to strengthen access and promote healthcare
- promoting the use of mHealth to provide patient care [19]
- To promote the usability of mobile apps is another hurdle
- complex designs requiring multiple links to reach the required information will decrease user engagement
- we need simple designs and software to ease the application use
- mHealth apps should have user-centered designs [37]
- With the availability of EHR on mobile devices, it is a challenge that physicians and nurses connect their devices to a secure wireless network.
- connecting devices to a nearby insecure network will increase the risk of criminal access to the health records
- Any means resulting in an inability to back up the data from the cloud system can result in the loss of patient statistics.
- cloud computing also poses data-stealing threats if it is stored in a non-secure location [38]
There is a need to store the patient data in secured rooms and access should be given to just authority figures.
- Health and digital literacy needs to be promoted to enhance mHealth use among the patients as well as neurologist
- A survey revealed digital health illiteracy among 16% of participants
- 27.5% of the low literacy patients utilized patient portal while
- 42% of digitally-literate patients utilized patient portal to access healthcare facilities[39]
Efforts should be made to increase awareness about how, when, and why we should use mHealth services to maximize patient-centered benefits. [39]
Further Reading
- HIPAA Journal. (2022, January 2). What is Protected Health Information? HIPAA Journal. https://www.hipaajournal.com/what-is-protected-health-information/
- Wearables and mHealth in mental health and neurological disorders - PubMed. Retrieved from https://pubmed.ncbi.nlm.nih.gov/31071688/
Bibliography
- Ryu, S. (2012). Book Review: mHealth: New Horizons for Health through Mobile Technologies: Based on the Findings of the Second Global Survey on eHealth (Global Observatory for eHealth Series, Volume 3). Healthcare Informatics Research, 18(3), 231. https://doi.org/10.4258/hir.2012.18.3.231
- Sánchez Rodríguez, M. T., Collado Vázquez, S., Martín Casas, P., & Cano de la Cuerda, R. (2018). Neurorehabilitation and apps: A systematic review of mobile applications. Neurología (English Edition), 33(5), 313–326. https://doi.org/10.1016/j.nrleng.2015.10.002
- Biggest app stores in the world 2021 | Statista. (2021). Statista; Statista. https://www.statista.com/statistics/276623/number-of-apps-available-in-leading-app-stores/
- Healthcare apps available Google Play 2021 | Statista. (2021). Statista; Statista. https://www.statista.com/statistics/779919/health-apps-available-google-play-worldwide/
- Healthcare apps available Apple App Store 2021 | Statista. (2021). Statista; Statista. https://www.statista.com/statistics/779910/health-apps-available-ios-worldwide/
- Free, C., Phillips, G., Felix, L., Galli, L., Patel, V., & Edwards, P. (2010). The effectiveness of M-health technologies for improving health and health services: a systematic review protocol. BMC Research Notes, 3(1). https://doi.org/10.1186/1756-0500-3-250
- Free, C., Phillips, G., Galli, L., Watson, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013). The Effectiveness of Mobile-Health Technology-Based Health Behaviour Change or Disease Management Interventions for Health Care Consumers: A Systematic Review. PLoS Medicine, 10(1), e1001362. https://doi.org/10.1371/journal.pmed.1001362
- Timotijevic, L., Hodgkins, C. E., Banks, A., Rusconi, P., Egan, B., Peacock, M., Seiss, E., Touray, M. M. L., Gage, H., Pellicano, C., Spalletta, G., Assogna, F., Giglio, M., Marcante, A., Gentile, G., Cikajlo, I., Gatsios, D., Konitsiotis, S., & Fotiadis, D. (2020). Designing a mHealth clinical decision support system for Parkinson’s disease: a theoretically grounded user needs approach. BMC Medical Informatics and Decision Making, 20(1). https://doi.org/10.1186/s12911-020-1027-1
- Marko Bohanec, Miljkovic, D., Valmarska, A., & Spiros Konitsiotis. (2018, May 9). A decision support system for Parkinson disease management: expert models for suggesting medication change. ResearchGate; Taylor & Francis.
- Smith, R. (2018, March 13). IBM created the world’s first smartphone 25 years ago. World Economic Forum.
- Busis, N. (2010). Mobile Phones to Improve the Practice of Neurology. Neurologic Clinics, 28(2), 395–410. https://doi.org/10.1016/j.ncl.2009.11.001
- The Wisdom of Patients: Health Care Meets Online Social Media - California Health Care Foundation. (2020, August 4). California Health Care Foundation. https://www.chcf.org/publication/the-wisdom-of-patients-health-care-meets-online-social-media/
- Logan, A. G. (2013, May). Transforming Hypertension Management Using Mobile Health Technology for Telemonitoring and Self-Care Support. ResearchGate; Elsevier.
- Hussein, Z. (2018). Article ID: IJMET_09_12_094 of the Mhealth Applications and the Intention to Use among Smartphone Users. International Journal of Mechanical Engineering and Technology (IJMET, 9(12), 943–947.
- Global study of perceptions of mobile solutions for healthcare in chronic disease. (n.d.). Retrieved January 31, 2022, from https://www.gsma.com/iot/wp-content/uploads/2012/11/11-12-GSMA-Patient-WP_j.pdf
- Whole System Demonstrator Programme Headline Findings -December 2011 Whole System Demonstrator Programme.
- Sci-Hub | Post-intervention qualitative assessment of mobile health technology to manage hypertension among Ghanaian stroke survivors. Journal of the Neurological Sciences, 116462 | 10.1016/j.jns.2019.116462. (2019). Sci-Hub.se. https://sci-hub.se/10.1016/j.jns.2019.116462
- Sci-Hub | Mobile health medication adherence and blood pressure control in recent stroke patients. Journal of the Neurological Sciences, 358(1-2), 535–537 | 10.1016/j.jns.2015.10.008. (2015). Sci-Hub.se. https://sci-hub.se/10.1016/j.jns.2015.10.008
- Palmer, S. (2017). Swipe Right for Health Care: How the State May Decide the Future of the mHealth App Industry in the Wake of FDA Uncertainty. Journal of Legal Medicine, 37(1-2), 249–263. https://doi.org/10.1080/01947648.2017.1303289
- Sulentic, A. (1999). Crossing Borders: The Licensure of Interstate Telemedicine Practitioners. Journal of Legislation, 25. https://scholarship.law.nd.edu/cgi/viewcontent.cgi?referer=&httpsredir=1&article=1193&context=jleg
- Bridging the digital health divide: toward equitable global access to mobile health interventions for people living with HIV. (2019). Expert Review of Anti-Infective Therapy.
- 2019 Board Approved Xcertia Guidelines Issued on - HIMSS." 12 Aug. 2019, https://www.himss.org/sites/hde/files/media/file/2020/04/17/xcertia-guidelines-2019-final.pdf.
- Electronic Health Records on Mobile Devices | NCCoE. (2022). Nist.gov. https://www.nccoe.nist.gov/healthcare/electronic-health-records-mobile-devices
- M Health Medical Records | MHealth.org. (2019). Mhealth.org. https://www.mhealth.org/childrens/patients-and-visitors-pediatric/medical-records
- (2016). Oracle.com. https://www.oracle.com/us/industries/health-sciences/mhealth-transformation-clinical-wp-3756775.pdf
- Sci-Hub | Mobile health as a viable strategy to enhance stroke risk factor control: A systematic review and meta-analysis. Journal of the Neurological Sciences, 378, 140–145 | 10.1016/j.jns.2017.04.050. (2017). Sci-Hub.se. https://sci-hub.se/10.1016/j.jns.2017.04.050
- Center. (2020). Device Software Functions and Mobile Medical Applications. U.S. Food and Drug Administration.
- Emerging Issues in Using Mobile Apps for Clinical Research - New York State Bar Association. (2020, July 29). New York State Bar Association. https://nysba.org/emerging-issues-in-using-mobile-apps-for-clinical-research/
- ResearchKit - Apple Developer. (2022). Apple Developer. https://developer.apple.com/researchkit/
- NCI and the Precision Medicine Initiative®. (2017, July 24). National Cancer Institute; Cancer.gov. https://www.cancer.gov/research/areas/treatment/pmi-oncology
- SVOBODA, E., & RICHARDS, B. (2009). Compensating for anterograde amnesia: A new training method that capitalizes on emerging smartphone technologies. Journal of the International Neuropsychological Society, 15(4), 629–638.
- Insurers Fight Speech-Impairment Remedy (Published 2009). (2022). The New York Times.
- League, I. (2020, March 4). Hold the phone: Smartphone video makes it easier to diagnose epilepsy and psychogenic seizures. Newswise.com; Newswise. https://www.newswise.com/articles/hold-the-phone-smartphone-video-makes-it-easier-to-diagnose-epilepsy-and-psychogenic-seizures
- Robakis, D., Fahn, S., & Kestenbaum, M. (2015). Essential Tips for Videotaping a Movement Disorders Patient Encounter. Movement Disorders Clinical Practice, 2(4), 365–368. https://doi.org/10.1002/mdc3.12204
- Goldman, J. (2012). mHealth Task Force mHealth Task Force Co-Chairs. https://www2.itif.org/2012-mhealth-taskforce-recommendations.pdf
- Research Report on Mobile Web Accessibility. (2014). W3.org. https://www.w3.org/WAI/RD/2012/mobile/note/ED-mobile
- The beauty of simplicity | Proceedings on the 2000 conference on Universal Usability. (2022).
- Gurupur, V. P., & Wan, T. T. H. (2017). Challenges in implementing mHealth interventions: a technical perspective. MHealth, 3, 32–32. https://doi.org/10.21037/mhealth.2017.07.05
- PatientEngagementHIT. (2017, January 27). How Digital, Health Literacy Drives mHealth Patient Engagement. PatientEngagementHIT.
- Solomon Nsor-Anabiah, I., Udunwa, M., Malathi, S., & Nsor-Anabiah, S. (2019). Review of the Prospects and Challenges of mHealth Implementation in Developing Countries. International Journal of Applied Engineering Research, 14, 2897–2903.
- HIPAA Journal. (2022, January 2). What is Protected Health Information? HIPAA Journal. https://www.hipaajournal.com/what-is-protected-health-information/
- Office. (2009, November 20). Summary of the HIPAA Security Rule. HHS.gov. https://www.hhs.gov/hipaa/for-professionals/security/laws-regulations/index.html
- Hristov, D. (2013). Speak It (free edition). Google.com. https://play.google.com/store/apps/details?id=com.dhristov.si&hl=en&gl=US
AizaMD™: Revolutionizing Clinical Documentation
Discover the power of our ambient clinical documentation system, designed to transform clinical encounters into structured SOAP notes with unmatched ease. Experience exceptional value for less than $3 per day—cheaper than your daily coffee!
- Save Time: Free up over 90 minutes daily for each provider.
- Boost Revenue: Increase daily revenue by at least $1,000 per provider.
- Enhance Coding Quality: Our detailed documentation supports superior coding accuracy, ensuring optimal reimbursement.
- Maximize Engagement and Interaction: Dedicate more time to patient care and less to typing, fostering richer and more effective conversations between clinicians and patients
AizaMD™: Automated Radiology Report Generation!
Discover our breakthrough Radiology AI reporting platform built on Ambient AI. It enhances productivity and minimizes fatigue. Benefit from best-in-class accuracy with our automated radiology report generation, all at market-leading pricing.
📈 Efficiency: Cut dictation times by up to 50% (Less words, More report!
🎯 Focus: Keep your eyes on the images, not the keyboard!
💸 Revenue: Boost revenue by at least 20%
📑 Clarity: Patient summary in plain English
Written by
Aspiring Neurologist. Research Fellow at AINeuroCare Academy. Epilepsy Sub-section Coordinator.