How Can You Protect Your Investment in a Population Health Solution?

February 9, 2018/13236 views / 0 Comments/in AI, Analytics, Artificial Intelligence, Big Data, BLOG, Data Integrity, data mining, Health Care, healthcare, Medical Record Mix-ups, Patient Errors, Patient Identification, Patient Matching, Patient Outcomes, Patient Safety, population health, precision medicine, Predictive Analytics, value-based care /by Mizan Rahman

Healthcare in the U.S. is going to see a paradigm shift in the next five years that will move it from a fee-for-service (FFS) payment model towards a value-based model. Simply said, those who produce better results and improve patient quality of care at lower costs will reap higher dividends. This shift will require better use of technology and significant changes to many platforms and their capabilities, including more investment in big data, analytics, and patient matching systems. These investments in population health management technologies will provide the real-time information needed to make more informed decisions.

Population health solutions play a critical role in moving healthcare from a treatment-based to a prevention-based model. These platforms enable providers to better prepare for patient-reported outcomes, provide data regarding social determinants of health and activity-based costing, and match extracted data outcomes with the right patient.

Current state of U.S. healthcare

The U.S. spends more on healthcare per capita than any other nation in the world but fails to produce better results for life expectancy and other health outcomes. Moreover, U.S. taxpayers fund more per capita on healthcare (64%) than those in other countries, including those with universal health programs.

These facts suggest that encounter-based medicine might be contributing to sub-optimal results in the U.S. and there is a need for change. That change is prompting the rise of population health management and data analytics technologies.

The population-based model is based on aggregating patient data across various health information resources, forming a comprehensive, longitudinal health record for each patient, and leveraging analytics to produce insights that clinical teams can use to improve care and lower costs. In addition to health and financial data derived from electronic health records (EHRs) and medical claims, information such as a patient’s socio-economic status, personal support network, and habitat conditions can be useful in building preventative care strategies.

For example, a patient diagnosed as prediabetes would be classified as high-risk in an encounter-based model. However, this does not take into consideration the patient’s lifestyle and behavioral patterns. Many prediabetics can avoid developing diabetes by modifying habits such as diet and exercise. Patients who smoke, abuse drugs, or have a sedentary lifestyle are much more at risk of developing the disease. Identifying these genuinely high-risk patients requires access to accurate data that is linked to the correct record.

Challenges in moving to a population health solution

At present, a tremendous amount of patient data is available but it is not unified – it exists within different institutions and across various platforms. Thus, the available information is very difficult to match with the right patient (if not impossible in some cases) and such data has little practical value. Population health solutions need a system that can match patients with their available data and provide information on the best recommendations for preventative care, helping to improve outcomes and save resources.

Therefore, the most important variable in extracting value from a population health solution is ensuring that a patient’s captured data is matched to the correct record. Better data warehousing and mining capabilities will serve no purpose if healthcare providers lack the ability to match the output with the right patient. At present, not only do patient identification issues exist within a single healthcare institution, but these issues become even worse when patient data is exchanged across multiple systems, with error rates rising to 60%.

Failure to properly identify a patient means loss of historical medical history, social indicators, financial information, medications, allergies, pre-existing conditions, etc. – vital information that puts the patient and healthcare provider at greater risk. These data integrity failures can significantly dilute the efficacy of population health initiatives.

In fact, the transition from fee-for-service to value-based healthcare is only going to work if healthcare entities invest in patient matching technology alongside their investments in big data and analytics platforms. These investments should go hand-in-hand since patient matching errors can have such a substantial impact on data quality.

Population health management is among the top six categories in healthcare that are attracting investments from venture capital firms. Other segments include genomics and sequencing, analytics and big data, wearables and biosensing, telemedicine, and digital medical devices.

Thus, the industry is investing in technologies that will play a significant role in value-based care and population health management. However, the success of any population health initiative depends on the right patient being identified every time so that medical records and the corresponding patient data are not mixed-up. Considering the data fragmentation that exists in healthcare and lack of standards around patient identifiers, AI-based systems like RightPatient are the only way to ensure reliable identification of patients across various data platforms and maximized investment in population health management.

How RightPatient Prevents Chart Corrections in Epic and Other EHRs

January 29, 2018/11328 views / 0 Comments/in BLOG, Chart Corrections, Data Integrity, Health Care, healthcare, Medical Record Mix-ups, Patient Errors, Patient Identification, Patient Matching, Patient Outcomes, Patient Safety, value-based care /by Michael Trader

I’ve visited enough of our customers to know that hospital emergency rooms and free-standing EDs can sometimes be chaotic environments. Unlike most outpatient registration areas, patients who arrive to the ED do not have scheduled appointments and often go through a triage process with a nurse where they are “arrived” within the electronic health record (EHR) system. This is essentially a quick registration that begins the documentation of a patient’s visit information on his/her medical record. Unfortunately, this process often results in what are known as chart corrections.

As one might imagine, a clinician’s primary focus is on the health and safety of the patient. Nurses that triage patients are trying to enter patients into the EHR system so they can receive the appropriate care as quickly as possible. Unfortunately, data entry errors during this process are commonplace. For example, EHR system users may create a “John Doe” or “Jane Doe” medical record if they cannot properly identify the patient. Or, users may mistakenly select the wrong record because it shares a similar name with the patient in need of care.

When EHR users select the wrong patient medical record, all subsequent information pertaining to that visit is entered into that record (sometimes referred to as a medical record “overlay”). This is a data integrity failure and results in data entry errors that need to be resolved with a chart correction. So, a chart correction in the Epic EHR or other EHR systems is the process of fixing a “wrong chart entry” or overlay record that was caused by a patient identification error.

Wrong patient, wrong record data integrity failures within the EHR system can have disastrous consequences. At best, the healthcare provider must spend internal Health Information Management (HIM) resources to perform chart corrections and resolve medical record overlays, costing $60-$100 per hour for an average of 200 hours per overlay record. At worst, wrong patient errors can affect clinical decision making, patient safety, quality of care, and patient lives. This is why organizations like AHIMA have strongly advocated safeguards that healthcare providers can use to prevent medical record mix-ups, improve data integrity, and reduce the risk of adverse events.

RightPatient is the ideal safeguard to prevent wrong patient medical record errors and chart corrections within Epic and other EHR systems. The AI platform uses cognitive vision to instantly recognize patients when their photo is captured and automatically retrieve the correct medical record. This becomes a seamless module within EHR system workflows so there is no disruption to users.

Customers like University Health Care System in Augusta, GA are effectively using RightPatient to reduce chart corrections in Epic. In fact, UH saw a 30% reduction in Epic chart corrections within months after implementing RightPatient.

Healthcare providers using RightPatient to capture patient photos significantly reduce their risk of data integrity failures. This enhances patient safety and health outcomes while reducing costs – important goals in the age of population health and value-based care.

Value-Based Care: A Patient-Centered Approach Requires Knowing Your Patient

January 15, 2018/11367 views / 0 Comments/in Analytics, Big Data, BLOG, Data Integrity, data mining, Health Care, healthcare, Medical Record Mix-ups, Patient Errors, Patient Identification, Patient Matching, Patient Outcomes, Patient Safety, precision medicine, Predictive Analytics, value-based care /by Mizan Rahman

Aspirin, penicillin, monoclonal antibodies, interventional cardiology, and genome editing have undoubtedly revolutionized medicine. However, while all of these have been breakthroughs in the field of medicine, not much has changed in the way that doctors do their jobs. Patients visit their doctors, the doctors diagnose, they recommend tests, they prescribe drugs, and they are compensated according to the volume of work done or the number of procedures performed.

If medicine is to progress in the 21st century, things have to change at every level, including the way that doctors work and receive compensation, the way they identify the right patient, and the way that patients are treated.

The long-awaited system that is going to change the way doctors work and are compensated will soon become a reality. This new system is called value-based care.

Value-based care is about compensating doctors according to outcomes. This encourages more personal attention to patients and transitions the healthcare system from cure-based to preventive medicine. It is a system in which doctors receive a higher level of compensation for either better outcomes from procedures or enabling patients to avoid health-related problems altogether.

There are several benefits of a healthcare system where the right patient gets the right kind of care.

Value-based care can save patients a lot of money. Putting aside the historical projections of healthcare inflation, the U.S. is also facing major epidemics of chronic, non-communicative diseases like diabetes, high-blood pressure, and cancer. It is no secret that many of these ailments are preventable with timely intervention and/or the correct behavior. Value-based care creates an environment where doctors can help patients to avoid these diseases by intervening at the right time. A doctor would identify the right patient to design a prevention plan before a disease can manifest where things become more complicated and expensive.

Once the right patient, a patient with a high risk of developing a chronic illness, has been identified, the doctor would be encouraged to spend more time with her, teaching her to take better care of herself so that complications can be avoided. There would be a reward system for identifying the right patient and taking timely preventative measures. It would also result in higher patient satisfaction.

A value-based care system would also lower drug costs. Historically, manufacturers decide the price of their medications without taking into consideration the value that a particular drug has in terms of its effectiveness and overall patient wellbeing. A value-based system would also encourage the development of personalized medicine where treatment plans and even pharmaceuticals can be tailored to specific patient needs.

The backbone of the value-based care system would be patient identification and data mining. Many are already demonstrating why medicine should incorporate more data-based modeling to augment physician decision-making. Data mining helps doctors and the healthcare industry as a whole to better understand the outcomes of various therapeutic approaches. Ultimately, it can help to create the right kind of individualized solution for the right patient.

Unfortunately, realizing optimal results from data mining and value-based care has its challenges, especially as healthcare organizations start mining data that has been accumulated over long periods of time. On average, at least 8% of hospital patient records consist of duplicate data. Thus, an intelligent way to sort out these duplications and identify the right patient is desperately needed.

It is stated that value-based care is about the right patient getting the “right care, in the right place and at the right time.” Instead, the maxim should be, “RightPatient® enables the right care, in the right place, at the right time.”

RightPatient® guarantees that a patient medical record is never mixed up with another record and the hospital ecosystem will always recognize the patient with the help of cognitive vision. Mistakes from common patient names, fraud, human error and other issues are always prevented.

As we all know, chains are only as strong as their weakest link. In many hospitals or medical institutions, there is an urgent need to strengthen this weakest link throughout the entire system – overcoming the errors of false identity and data duplication with RightPatient. Only then can the benefits of value-based care and data mining be fully realized.

How Opioid Abuse Exposes Hospitals

December 20, 2017/9723 views / 0 Comments/in AI, Analytics, Artificial Intelligence, Big Data, BLOG, Data Integrity, Health Care, healthcare, Machine Learning, Patient Identification, Patient Outcomes, Patient Safety, Predictive Analytics /by Michael Trader

Whenever I’m talking to a healthcare provider about RightPatient, the topic of “frequent flyers” inevitably arises. For those who might not be aware, frequent fliers are patients that use different aliases to obtain healthcare services. It’s estimated that between 2-10% of patients arriving at the emergency department (ED) provide some kind of false or misleading information about themselves. Typically, these patients are lying about their identity to obtain prescription medications, and most of these are for opioids.

Since these patients lie about their identity or demographic information, hospitals often end up writing off a considerable amount of money for their services – up to $3 million annually on average. Aside from these financial losses, frequent fliers also pose other risks to providers that are associated with patient safety and quality of care. Why? Because they also frequently lie about prescription drug use or addiction.

What’s worse is that this behavior is not limited to frequent fliers. Any patient can lie about their addiction. Many of these patients lie about their addiction to opioids, specifically. As we all know by now, the U.S. has a serious problem with opioid addiction, a crisis that killed over 33,000 Americans last year. This crisis has no rules or boundaries, and does not seem to select for a particular demographic. Anyone is susceptible to getting hooked on opioids because they are so addictive.

The opioid epidemic has far-reaching consequences that extend beyond the health of the patient; however, in the ED, this is the primary concern of a clinical team. Considering the circumstances, this question seems relevant – “how can healthcare providers ensure high quality of care when patients lie about their identity and/or drug use?”

RightPatient can play an important role in helping to answer this question. Our AI platform can accurately recognize the patient and offer key clinical insights by detecting patterns in the patient’s appearance over time. Clinicians won’t need to rely on the ~~words~~ lies coming out of a patient’s mouth, patients with no ID, or expensive tests. RightPatient automatically knows who the patient is and whether or not they are at risk of opioid abuse.

ED nurses who suspect a patient of abusing opioids will typically search the patient’s belongings to make sure they aren’t prescribed something that could cause an adverse event or even kill them. Unfortunately, the human eye, clinical intuition, and patient reliability have many shortcomings. Luckily, RightPatient can augment clinical diagnostics with cognitive vision to help fight the opioid epidemic and save a lot of lives and money in the process.

Peace of Mind: A Short Guide To Who Handles Your Private Medical Information

August 15, 2017/6306 views / 0 Comments/in BLOG, Cybersecurity, Data Integrity, Guest Blog Posts, HIM /by John Trader

The following guest post on who handles Protected Health Information (PHI) was submitted by Brooke Chaplan.

From basic information such as your height and weight to the types of medications you are taking, your health history, diagnoses, billing information and more, your healthcare providers have access to an incredible amount of very personal information about you and others in your family. This is information that you do not want to fall into the wrong hands. This begs the question of who actually has access to all of the information in your medical file.

Many patients are unaware of how many people have access to their sensitive medical information.

Well-Trained and Screened Candidates

In most healthcare offices, hospitals and other settings, the administrative or medical team that has access to your records is usually well-trained and thoroughly screened. These individuals typically must pass a thorough background check before being permitted to work in the office, and the office often has safeguards and high-tech protocols to prevent employees from mishandling or abusing the information that they gain access to. Some of the professionals with the most access are healthcare administrators that hold a degree in their field.

Your Health Insurance Company

If you are one of the many millions of Americans who have access to health insurance, your health insurance company may keep track of your medications, treatments, diagnoses and more. Health insurance professionals are often required to uphold strict standards of confidentiality in the same way your healthcare providers are. In addition, as is the case with hospitals and medical offices, health insurance companies usually go to great lengths to prevent employees from misusing or abusing the data that they come across over the course of their regular work day.

Potential Hackers

In 2015, as many as a third of all Americans were impacted by a security breach that involved their healthcare data or records. Information such as their address and Social Security information may have been passed on to hackers. Some hackers sell the data they obtain through their attacks, and others use it personally with malicious intent. For example, with your name, address, Social Security number and birth date, they can commit identity theft. Many medical offices and hospitals are aware of this and other potential risks to their patients, and they regularly take steps to continuously update and improve technology in an effort to reduce this risk for their patients.

Your private data should remain private at all times, but the unfortunate reality is that the system in place in the healthcare industry right now is not perfect. Patients should make inquiries to their healthcare providers to learn more about the steps a particular office or hospital is taking to keep their data from falling into the wrong hands.

Author bio:

Brooke Chaplan is a freelance writer and blogger. She lives and works out of her home in Los Lunas, New Mexico. She loves the outdoors and spends most her time hiking, biking, and gardening. For more information contact Brooke via Twitter @BrookeChaplan.

Healthcare Data Security: How Doctors and Nurses Access, Utilize, and Protect Your Information

July 10, 2017/6892 views / 0 Comments/in BLOG, Data Integrity, healthcare, Privacy /by John Trader

The following guest post on healthcare data security was submitted by Brooke Chaplan.

Anyone who has been to a doctor’s office, hospital or other healthcare institution knows that these can be busy places with patients waiting to be seen and professionals bustling about to perform their duties. With all of this activity going on and various personnel involved in your care, you may wonder about the security of your medical records. Sensitive information lies within the paper and electronic files used by your medical providers. Let’s take a look at how doctors and nurses access, utilize and safeguard your healthcare data.

Docs and nurses need access to your protected health information (PHI) to provide you optimal care. What steps are they taking to protect that healthcare data?

Confidentiality, Privacy, and Security

First, it’s important to identify the difference between three different terms that are often used interchangeably within healthcare. The concepts of confidentiality, privacy and security are related, but each has its own significant meaning with regard to balancing the needs of patients, providers, the public and other relevant parties such as insurance personnel. When discussing confidentiality in the medical field, the term refers to the duty of personnel to hold any patient healthcare data to which they have access in the strictest of confidence.

Privacy is a separate concept that has to do with an individual patient’s right to decide how personal medical information is shared and with whom. You may be familiar with HIPAA, the Health Insurance Portability and Accountability Act. This statute by the federal government states that, while a patient’s right to privacy and control of their healthcare data still exists, there are some parties to whom such data can be shared without prior patient approval. These include public health officials, health organization administration and payment providers. Finally, there is security, which is all about the protection of confidentiality and privacy of patients. It refers to the ways in which healthcare data is stored and accessed.

Medical Records and Their Use

Your medical records contain a wide range of information. Your full name and unique patient number within that particular healthcare network is stored in your records, along with demographic data like your date of birth, gender and race. Your allergies, medical conditions, lifestyle habits in addition to detailed accounts of every provider visit, lab result, prescription and referrals. Your payment, billing and insurance information are also kept in your medical records, as is your family medical history.

Organizational Policies and Procedures

As you can see, there is a great deal of sensitive and personal healthcare data kept within your individual medical records. In order to ensure the privacy and confidentiality of patient data, healthcare and medical organizations pay special attention to create structured policies and procedures regarding the way such information is handled, stored and accessed. Each network will have its own unique set of guidelines, but the matter is taken very seriously among medical providers. In fact, an entire profession known as healthcare or nursing informatics is dedicated to the management of healthcare data. Many universities also offer a masters in nursing informatics program. An informatics expert is usually employed to help organizations protect patient health information and to ensure only necessary professionals can gain access.

Healthcare providers work hard to care for your medical needs. They are also concerned with the proper care of your personal data. You can rest assured that procedures are in place to ensure the security of your private and confidential information.

Author Bio:

Brooke Chaplan is a freelance writer and blogger. She lives and works out of her home in Los Lunas, New Mexico. She loves the outdoors and spends most her time hiking, biking and gardening. For more information contact Brooke via Twitter @BrookeChaplan.

Mobile Patient Identification with the RightPatient Smart App

June 15, 2017/10496 views / 0 Comments/in BLOG, Connected Health, Data Integrity, Future of Biometrics, healthcare, Mobile, Patient Identification, Patient Safety, Photo Biometrics /by Michael Trader

Amidst the hoopla and chaos of this year’s HIMSS conference in Orlando, we introduced a new feature for our cloud-based RightPatient biometric patient identification solution: the RightPatient Smart App. This is ~~kind of~~ a big deal for the healthcare industry because the RightPatient Smart App has the power to turn any smartphone or tablet into a powerful patient recognition device.

In other words, this is anything but a ho-hum development in the concerted effort to adopt more modern patient ID technology. Allow me to explain…

As we have written about before, increased recognition of the critical importance of accurate patient identification for patient safety has played an important role in our own research and development of the RightPatient cloud biometric patient identification solution. I don’t think I’m alone in saying that most patients see patient identification as the part of our healthcare experience that starts with sitting in front of a registrar at a healthcare facility so they can obtain our insurance information and make sure we are who we claim to be.

However, anyone who has spent time as a patient in a healthcare environment knows that most medical facilities don’t stop with establishing accurate identification at the point of registration. You may have your ID checked before medication disbursement, prior to the administration of a medical procedure, or perhaps just before surgery. This is important for patient safety, and to reduce the risk of adverse events from wrong patient procedures.

The problem is that many patient identification mistakes are still regularly made across the healthcare industry. This can cause irreparable harm to patients and providers in many cases. Fortunately, we provide the most innovative technology in the market to solve this problem.

For example, the RightPatient Smart App is a modern, mobile patient identification solution that fills an important void to help healthcare organizations improve compliance and patient safety. Here is a breakdown of the Smart App features and their value to patient identification in healthcare:

Mobile patient ID ubiquity: As mentioned earlier, the RightPatient Smart App turns any smartphone or tablet into a powerful mobile patient identification tool. Is this a big deal? Absolutely. The Smart App improves the ability of clinicians and others responsible for care administration to be responsible stewards of patient safety and compliance. It can be used as a multi-factor authentication tool along with another form of identification or act as a standalone patient ID device. Recognize patients anywhere, anytime, with any smart device.
Patient photo: The Smart App matches against the patient photo that was captured by RightPatient during registration for positive identification. We have previously written about the importance of capturing high-quality patient photos and linking them to their electronic health records. RightPatient ensures that a standardized, high-quality enrollment photo is always captured. This increases the efficacy of the Smart App and ensures that providers have images that they can rely on for clinical context.
Identifying unconscious patients: There are few things in healthcare more risky than treating an unconscious patient without access to their medical history. The RightPatient Smart App allows clinicians to easily identify unconscious patients through their smartphone to retrieve the patient’s medical record. The Smart App opens the door for accurate patient identification in traditional and non-traditional settings (e.g. – oncology, medical records release, EMTs, home health) – places where perhaps verifying a patient’s identity is required but may not have traditionally been on the compliance radar. The Smart App fills in the patient ID compliance holes that exist in a healthcare organization – enabling higher levels of patient safety and helping to reduce medical errors and risk.

Medical errors caused by patient misidentification will continue to rise with increased data sharing and human error. In fact, the ECRI institute recently included patient identification errors in its most recent annual top-10 list of patient safety concerns. Powered by the RightPatient cloud platform, the Smart App will strengthen patient safety, reduce risk, and more effectively humanize the healthcare experience – a critical element of improving patient satisfaction and empathetic care delivery. Design and development of this new feature was a direct result of our 15 years of experience in biometric technology, listening to the needs of our customers, and delivering a practical solution that increases the power and reach of our industry-leading patient identification technology. You asked. We listened.

Have questions about the RightPatient Smart App? Drop us an email at info@rightpatient.com or visit here to request a free demo.

How We Address the Patient ID Challenge in Healthcare

February 15, 2017/6972 views / 0 Comments/in BLOG, Data Integrity, Facial Reciognition, Health Care, Infection Control, Iris Recognition, Medical Identity Theft, Patient Identification, Patient Matching, Photo Biometrics, Revenue Cycle Management /by John Trader

RightPatient-is-the-perfect-patient-ID-solution

We offer a “holistic” approach to patient ID in healthcare through an intuitive solution that has the ability to identify patients no matter where they are along the care continuum.

The Patient ID Challenge

It is well known that accurate patient identification in healthcare is a key linchpin for safe and effective care delivery. Traditionally defined as the ability to accurately identify a patient during a physical trip to the hospital or doctor’s office, the rapid digitization of healthcare has opened up a host of new touchpoints along the care continuum, creating a strong need for healthcare organizations to re-think their approach and evolve to a patient identification strategy beyond collecting a government issued ID, insurance cards and patient demographics. Many are evaluating the use of biometrics to improve patient identification accuracy and patient safety.

Healthcare organizations are in a sticky predicament. In addition to addressing the most common patient identification challenges, which include:

Patients having common names
No ID present
Patients stealing or sharing identities and insurance
Frequent flyers/drug seekers
Staff entering the wrong information

they must now factor in new touchpoints borne from the aforementioned digitization of the industry, such as:

Telemedicine
Connected health/mHealth devices
Patient portals
Home health visits

In other words, healthcare organizations must now address patient ID in a “holistic” manner — adopting versatile technology that can be used at any point along the care continuum, no matter where a patient seeks care or access to protected health information (PHI).

As the healthcare industry transitions to value-based care, there is no arguing that the increase in new patient touchpoints along the care continuum has increased convenience and efficiency. However, it also raises new risks that can quickly pollute data integrity and endanger patient safety. Investing in a biometrc patient ID solution that covers in-person visits is smart, but without the ability to quickly scale the technology and cover the new touchpoints mentioned above, it can be a huge risk to healthcare organizations.

How RightPatient® Addresses the Patient ID Challenge

We approach the patient ID challenge from a different angle. Instead of pushing a biometric solution that limits healthcare providers to verifying patient identities when they arrive for an appointment or emergency, our patient identification platform uses biometrics, cognitive intelligence and deep learning to recognize patients at provider sites, during virtual encounters (e.g. patient portals, telemedicine) and in care environments outside of a hospital, clinic or doctor’s office.

Offering the industry’s most advanced, scalable, and versatile patient ID platform based on over 15 years of experience in biometrics, system integration and cloud computing, RightPatient’s core cognitive vision technology empowers healthcare providers to recognize patients with ease and accuracy from ANY end point:

Patient ID – Accurately identify patients at registration areas, kiosks, the ED & more; retrieve the correct medical record to prevent duplicates, fraud & human error
Patient Photo – Improve safety and personalize the patient experience by embedding patient photos in the medical record and other applications through the RightPatient® photo integration server
Portable ID – Strengthen security and patient safety by recognizing patients during portal login, telehealth visits, other remote encounters, and with our unique PatientLens™ smartphone app
Analytics – Aggregate and analyze patient visit data, and access a concrete audit log of visits with patient photos for compliance and dispute resolution

Photo-biometrics-for-patient-identification-in-healthcare

A patient takes “selfie” photo with a non-contact camera, which can be used for subsequent authentication at any point along the care continuum.

Using RightPatient, healthcare providers can accurately identify patients by simply taking their picture, offering these distinct advantages that no other patient ID solution can match:

No hygiene issues (non-contact)
The most accurate solution – nearly 3 times more accurate than any other method
Scalable, real-time duplicate prevention (identify without having to enter DOB or other credentials)
Very fast enrollment & 1:N matching speed (identify in seconds)
Minimum enrollment age: 1 year
Simultaneous photo capture
Not locked into a single device or manufacturer ; lowers long-term risk

We extend the flexibility of our intuitive and best-of-breed patient ID platform through PatientLens™ which turns any off-the-shelf smartphone or tablet into a reliable patient identification tool, empowering clinicians to accurately identify patients through its combination of facial recognition and deep learning capabilities. Designed to quickly identify a patient by using the camera on any smart device, PatientLens™ reduces risk and improves quality by enabling clinicians to easily and accurately verify patient identities, even when they are unconscious.

Conclusion

The inability to accurately identify a patient throughout the care continuum is a huge risk for healthcare providers. Healthcare digitization and the explosion of virtual access to data and care necessitates a more “holistic” approach to patient identification. This will improve patient safety and reduce provider costs while preventing the risk of data breach and adverse health events.

Healthcare organizations need a versatile, scalable solution with seamless EHR integration that removes the IT burden during implementation and offers a flexible adoption model. If you have been thinking about adopting biometrics for patient identification for your organization and want to learn more about our solution and how we are revolutionizing this critical part of effective and safe care delivery, please visit us at HIMSS in Booth 3015 to see a demo and learn more.

Nuclear Imaging is Likely to Increase Patient Data Integrity and Eventually Safety in Healthcare

February 9, 2017/4096 views / 0 Comments/in BLOG, Data Integrity, Guest Blog Posts, Patient Safety /by John Trader

The following post on how nuclear imaging improves patient data integrity and patient safety in healthcare was submitted by Karandeep Virdi.

The field of science and medicine has shown tremendous progress in the last two decades. Nuclear imaging is a branch of the medical field and has gained popularity in the recent past. Preclinical Medical Imaging is assisting in revolutionizing health-related research and expand understanding related to several medical applications. The nuclear imaging systems industry is set to grow in the future as R&D is on the rise and the overall infrastructure fosters the growth in patient healthcare systems.

Can nuclear energy be the key to improving patient data integrity and patient safety in healthcare?

Emphasis on quality and value: The need of the hour for radiologists worldwide

In the current era, it is essential to keep a check on the quality of healthcare systems. Medical diagnosis and imaging have gained significant popularity in the last two decades and the trend is set to continue. Expert in patient safety, Robert Wachter, M.D from University of California, San Francisco, said that it is important and vital to add value to the healthcare system. Vivian Lee, CEO, University of Utah threw light on the subject and explained how radiologists can add value by taking more responsibility to make an accurate and precise diagnosis.

According to Lee, accurate and on-time diagnosis by radiologists will eventually mean shorter length of stay, early detection of disease and reduce pharmacy costs. One of the major factors that drive healthcare inflation is high pharmacy cost. Radiologists can aid cancer patients to identify cost-effective and efficient treatment procedures. Lee said, “Imaging is front and center in the way we think of health care.”

Radiologists trained in the last three decades are focusing on enhancing value and reducing treatment costs. Certain surveys portrayed the advances in modern medicine held imaging breakthroughs in CT scans, MRI’s and mammograms at the top of the list. However, the interest in radiology is fading off among the medical school graduates. According to the Association of American Medical Colleges, radiology residency seats are unfilled and the application rate for the same has dropped owing to a steady decline in the income.

Breakthrough technology developed by iCAD will assist radiologists significantly

According to Ken Ferry, CEO, iCAD said that the launch of the innovative solution to spearhead in cancer detection and workflow efficiency. He further added that such useful solutions have proved to be an effective solution for 2D mammography. It further assists radiologists to detect cancer at an initial stage.

A conventional 2D mammogram examines two images per breast whereas tomosynthesis can develop 100 images. This optimizes the interpretation time for radiologists significantly. The improved 2D image is in sync with the 3D tomosynthesis dataset that creates an efficient and effective navigation tool for radiologists.

Progress in PET/MR imaging

With the help of imaging coupled with transgenic small-animal models, the progression of a disease can be monitored and regulated to examine an individual’s therapeutics, interventions, and molecular traces. There has been significant innovation in the preclinical positron emission tomography (PET) technology. By using innovative detectors, the systems are advancing to the theoretical limits of resolution with Full Field Accuracy. The initial PET systems provided PET detection functions. However, PET/CT integration offered structural context that is limited to skeletal anatomy and soft tissue.

With recent progress in the PET detector technology, the uncompromised PET/MR integrations can be seen that provide high field and sequential data collection simultaneously. The onset of MRI scanners has boosted the prospects of non-invasive imaging for next generation advanced applications. It is a major challenge to develop a fully integrated PET/MR system as it demands modifications to the PET detector to make it compact and less vulnerable to magnetic fields. Along with significant modifications, to make it entirely compatible with the RF-sensitive MRI hardware is another major hurdle.

Progress in medical imaging for personalized healthcare

In the present scenario, the medical imaging market is advancing towards personalized healthcare. The personalized approach in this field would offer patients treatment that is efficient and most suitable for them. Post the successful MediSens conference in 2016, The aforementioned organizations were keen to showcase their recent developments in imaging technology. For instance, ON Semiconductor showcased the image sensors manufactured by the firm for medical applications. The need for a multimodality imaging in healthcare was revealed by Dr. Dimitra Darambara, Institute of Cancer Research. Dr. Dimitra threw light on the topic by explaining that there are different ways to look at a disease. However, each of the modality offers a different perspective. The attendees of the conference shared a common objective—how the quality of medical imaging technology can be enhanced.

Summary

The Nuclear Imaging Systems and Equipment Market will witness a steady growth in the future as R&D is on the rise. The medical experts, medical schools, and major market players have shown interest to collaborate and develop efficient and reliable medical imaging systems. The market is set to grow significantly in the developed markets such as North America and Europe owing to technological advancements and quality of the infrastructure compared to the markets in the other regions of the world. However, the Asia-Pacific region offers numerous growth opportunities for the medical imaging systems market. This is due to government support and stable economic conditions in the region.

Author Bio:

Karandeep Virdi is a content writer for research team of Progressive Markets, who harbors an active interest in medical devices, advancements in the medical field and the upcoming trends in the industry. Karandeep has written extensively on topics covering medical devices, software technology used in the medical industry.

Ensuring the Right Patient in Healthcare

February 6, 2017/7524 views / 0 Comments/in BLOG, Data Integrity, Events/Conferences, Health Care, Patient Identification, Patient Matching, Patient Safety, Podcasts, Revenue Cycle Management /by John Trader

Joe Lavelle with IntrepidNow Healthcare recently interviewed our Co-Founder Michael Trader to discuss the current state of patient identification in healthcare. (Photo re-used with permission from IntrepidNow Healthcare.)

Our thanks to Joe Lavelle and his staff at IntrepidNow Healthcare for the opportunity to appear on his podcast to discuss the current state of identifying the right patient in healthcare. Although accurate identification in healthcare to determine the right patient at all points along the care continuum continues to surge as a focal point for organizations to increase patient safety and improve data integrity, there is still a lot of unanswered questions about how to develop and implement an industry wide solution that has the ubiquity and scale for use by everyone.

Additional topics covered during the podcast include:

The importance of establishing remote patient identification for touchpoints along the care continuum beyond in-person visits such as patient portals, connected health apps, home health visits, telemedicine, and more.
Why establishing a holistic patient identification strategy is now required in healthcare.
Details on the RightPatient® cloud software-as-a-service (SaaS) platform.
Why photo biometrics is hands down the most effective, secure, flexible, scalable, and hygienic solution to determine the right patient in healthcare.
Updates on CHIME’s national patient ID contest.
What additional elements are needed to advance discussion of accurate patient identification in healthcare to a congressional level.
RightPatient®’s plans for the upcoming HIMSS conference in Orlando.

As we approach the annual HIMSS conference, it’s important to continue dialogue and advancing initiatives that show promise to resolving the patient identification crisis in healthcare. Identifying the right patient at the outset of each encounter with the healthcare system ensures the success for many other downstream activities and is the only true way to improve and maintain data integrity — the true linchpin for interoperability and health information exchange.

We invite you to visit RightPatient® in the GA Health IT Pavilion, Booth #3015 at the HIMSS conference to see firsthand how adding cognitive vision to a healthcare technology ecosystem improves revenue cycle management and secures a patient portal, among many other uses.

Here is our Co-Founder Michael Trader’s conversation with Joe Lavelle from IntrepidNow Healthcare:

Thank you again to Joe Lavelle and his staff for this opportunity!