Category: Editorial

Implications of Patient Data Collection in Healthcare

By Brooke Faulkner, a writer in the Pacific Northwest; @faulknercreek.

Healthcare is in a constant state of updating. From new technologies to the latest scientific research, nothing stays the same for long. If it does, there’s almost certainly someone, somewhere, attempting to find a better way.

Right now, though, more than just the medicine is changing. The way we interact with our doctors and the way our doctors interact with each other is redefining what patient care looks like. Slowly but surely, the communication and management of healthcare data is joining the rest of us in the 21st century and going digital. Doctors are available on demand, medical records can be accessed without waiting for a courier, and the amount of information available to the public is growing by the second.

It’s not all so optimistic, though. Concerns about privacy exist in tandem with the benefits of increased access, and medical facilities can be vulnerable to a variety of cyber attacks. Whether you’re considering public health on a global scale or just going to the doctor for a yearly wellness check, digital health data is changing the way we see medical care.

Public Health Opportunities

Increased connectivity in the medical world makes more data available to more people. It’s easier than ever to track disease outbreaks, compare national statistics, and identify trends in global health. In the United States, the field of public health research is expected to spend more than $3.7 trillion in 2018 alone.

We have fewer communicable disease epidemics now than at any time in recorded history. Diagnosis and treatment protocols are more sophisticated, but more often than not, we don’t have to worry about smallpox, measles, or rubella thanks to vaccinations. Instead, many of the health concerns facing Americans are preventable, non-communicable diseases borne of unhealthy lifestyles. In 2017, more than 36 percent of the adult population was obese and 9.4 percent had type II diabetes.

With the data recorded by fitness trackers, electronic food diaries, and other health-focused devices, public health researchers can paint a clearer picture of the lifestyle choices that lead to illness. Public health campaigns can become more targeted and an emphasis placed on follow up and plan adherence through personal technology. By crunching the numbers generated from various populations, researchers can compare and contrast differences among nationalities, noting genetic trends and trying to tease out nature from nurture.

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Artificial Intelligence and Dentistry

Dental health has always been an important aspect of your overall well-being. While most people may perceive dentistry as a means to improve one’s aesthetic, this is but an extra perk of visiting your dentist regularly. There are a wide variety of diseases and they all function the same way —through infection.

When a pathogen is able to gain ingress into your body that is called an infection. And one of the means of ingress are the teeth. A tooth cavity or an abscess are both dangerous in the sense that they are infections waiting to happen.

In the digital age, daily life is enhanced by the technology that we have. For one instance, traditional X-ray images had to be printed on a metal sheet and processed the way you would a camera film. Today, thanks to digital photography, the image is instantly projected onto monitors and saved to a database. There’s no longer the waiting phase. It goes straight to the diagnosis phase.

In previous iterations of the technology, the way that orthodontic diagnostics were performed was that dentists had to make a temporary mold of the patient’s crown (to be replaced) while the permanent mold of the crown would be made back at the lab.

Because of digital photography and 3D printing, dentists simply have to scan the crown that they intend to replace and add it to the database. The computer then simply prints out the replacement crown on the spot.

And while this technology seems impressive, there has been one piece of tech that has been on everyone’s lips for the past few months — artificial intelligence.

It first became publicly known when Google introduced it with its new line of Pixel phones. The artificial intelligence found in these phones was able to significantly improve the photo quality taken by the phone camera. A plethora of phone manufacturers, such as Asus, Huawei, and Oppo, followed suit thereafter.

What most people don’t know is that in the medical field, AI is currently being used to make the process of diagnosis more efficient and more accurate. IBM brought its Watson platform into the picture and it is currently used to help doctors make the best diagnosis and recommend treatment based on the patient’s medical history.

The software is even being further developed for it to be able to schedule medical procedures based on its estimated procedure durations. What this does is that it helps improve the efficiency at which hospitals operate by ensuring that time is used in the best way possible. So, this translates to an overall higher number of patients treated.

The same application can be brought into dentistry. A program known as VisualDX allows dentists and doctors alike to input images onto a computer. The computer is then able to produce a full list of all possible diagnoses.

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Using the Right Tools for Insurance Risk Management

In the area of health insurance, there is an increasing need for providers to streamline the process of securing coverage for their clients. With this, technology is at the center of innovation, and so providers will need to secure wider adoption of helpful tools and applications to ease up the workflow.

For sure, evaluating a client’s risk profile as well as processing accident claims are just two of the most tedious tasks insurers will have to handle. Other than that, insurers will also need to maintain their profit margins to ensure the seamless delivery of insurance services.

It is against this background that insurers will need to invest considerably in terms of acquiring the needed technologies and/or update their current equipment inventory.

The first step to this would be identifying which technologies to adopt and to make sure that such technologies can help in the long run.

Claims management software

Insurers that offer retirement plans will find it essential to use the right software and web applications to better deliver their services. Along these lines, it is best to opt for software that has the substantial features that are valuable for recording client information and relevant details in the event that a client wants access to their claims.

Also, insurers will need to implement systems capable of handling large amounts of data seamlessly. Finally, with a proper system in place, insurers can use certain features to accurately calculate total costs per claim. Indeed, an insurance claims management system can be a powerful tool that can help insurance providers cut costs, shorten waiting times, and avoid fraudulent claims through a more systemic yet faster validation process.

Risk assessment software

Before getting covered by an insurance product, it is imperative for clients to undergo a risk assessment process. Such a system provides a whole range of benefits to independent agents as well as hospitals. Accuracy, after all, is a key concept in the health insurance industry. So, making sure your patient’s records are free from errors can also lead to a more streamlined process.

What’s more, having the capability to perform risk assessment forms an important part of what this software can do to the bottom line. At least, with such a system insurers can essentially save on operating costs and avoid possible legal costs in the event of an error.

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Evidence-Based CDS Linked to Improved Value-Based Care Performance Scores

By Anne Dabrow-Woods, DNP, RN, CRNP, ANP-BC, AGACNP-BC, FAAN and Dale Schumacher, MD, MPH

When nurses are armed with the latest evidence-based nursing procedures at the point of care and real-time step-by-step guides for clinical decision making at the bedside, Hospital Value-Based Purchasing (VBP) Program scores go up. That was the primary finding of a study undertaken by the Rockburn Institute in partnership with Wolters Kluwer Health, which found that hospitals where nurses used two specific evidence-based Clinical Decision Support (CDS) tools for two years had an average rank that was nearly 25 percent higher than their peers.

The findings are a rare instance where the intervention—in this case Lippincott Procedures and Lippincott Advisor from Wolters Kluwer—can be clearly associated with change in practice and quality improvement. In fact, the study’s findings clearly support the value and use of point-of-care CDS tools in a clinical setting to augment nurses’ substantial knowledge when needed. The results also demonstrate the close relationship between nurse, information, patient and performance improvement, which ultimately leads to improved quality and efficiency.

A VBP Primer

The Centers for Medicare and Medicaid Services (CMS), through its Hospital VBP Program, has incentivized hospitals to improve patient care and minimize costs by structuring its reimbursement system to reward care quality rather than service quantity. To fund the program, CMS reduces each hospital’s base operating payment by up to 2 percent, which hospitals can earn back (along with bonuses) by achieving high VBP performance scores.

In effect, VBP pits hospitals against each other and their own past performance to show achievement and improvement. Performance is currently assessed using four quality domains: 1) Clinical Care, 2) Experience and Coordination of Care, 3) Safety, and 4) Efficiency and Cost Reduction.

Each participating hospital receives an achievement and improvement score for each domain. The higher of the two is selected and weighted accordingly. All domain scores are then summed together to create the VBP Total Performance Score (TPS). This score is then converted into the hospital’s “adjustment factor,” a multiplier CMS applies to a hospital’s base payment covering each patient’s stay during a given time period.

Adjustment factors above 1.0 indicate that a hospital will receive back from CMS their full withholding plus a bonus. Hospitals with an adjustment factor below 1.0 will be assessed a penalty. For example, a hospital with a VBP adjustment factor of 0.9903 would be paid 99.03% of what Medicare usually reimburses for each service. It’s important to note that the VBP program is a mix of withholding repayment and bonus (or penalty) and required by law to be budget neutral.

The Study Methodology

To determine if and to what extent CDS could help hospitals improve performance on key metrics, the Rockburn Institute evaluated data compiled over a three-year period from all U.S.-based hospitals with a CMS Certification Number that participated in the VBP program. From this base of approximately 3,000 hospitals, 41 facilities were identified that utilized both Lippincott Procedures and Lippincott Advisor for the complete 2014 and 2015 calendar years.

The performance of hospitals using the CDS tools—which represented a mix of community-based clinics, hospitals serving large geographic regions and large university-based systems in 20 different states—was compared to the other hospitals that had received VBP scores for 2014 and 2015. Scores of the 41 CDS facilities were then evaluated for 2017 against their previous years’ results.

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The Right Population Health Analytics to Transform the Patient Experience

By Abhinav Shashank, co-founder and president, Innovaccer.

Abhinav Shashank
Abhinav Shashank

Consider a situation where healthcare is not just an industry term — a situation where EHRs are not an integral part of physicians schedule but just a support to providing care. All considered, imagine a situation where patient-centric care actually involves the patient, and patient engagement is not just a buzzword but a reality. Unfortunately, all these imaginations were supposed to be a reality, but still, healthcare managers and organizations are struggling with the problems such as the lack of patients’ adherence to medication, varying trends in the population health, and a lot more. Patient population, nowadays, expect the same on-demand delivery convenience from the healthcare organizations as they get from the other companies, like Netflix.

Why is Patient Engagement the Core of Providing Patient-centric Care?

To understand the value of the patient in the entire care continuum, let us take an example. Consider a patient, Marcus, who works at an IT firm and is affiliated to a Commercial ACO in his county. Marcus is a 65-year-old male suffering from comorbidities like Type 1 Diabetes, and diabetic retinopathy. He is at constant risk of sporadic elevated blood pressure.

In the year 2016, Marcus visited the ED approximately five times. Considering the situation, his primary care physician referred him to a specialist and prepared a schedule comprising at least two monthly visits.

The year 2017 started with a lot of workload for him at his firm, and he was unable to keep up with the prescribed schedule. Because of improper communication between his PCP and him, his physician was not able to keep track of Marcus’s health. As a result, the ED utilization rate for Marcus increased from five times to nine times. Because of enhanced stress and improper quality of care, the sporadic episodes of elevated blood pressure turned into a constant problem of hypertension. Also, the overall cost of care for Marcus increased drastically.

Challenges in Achieving True Patient Engagement

Patient engagement, in itself, is not as simple as ABC. It is not just bringing patients in the cycle of care continuum but enhancing the patient’s skills, ability, knowledge, and most importantly, willingness to participate in the task of managing his own care. The concept of providing care with “engaged patients” sounds great theoretically, but it is not that smooth sailing. According to a survey, nearly 87 percent of the patient population believes that communication with their doctor apart from their scheduled appointments is really important.

The major flaw is the lack of awareness among the patients regarding their care procedures. Many patients are ignorant of the clinical processes which a physician follows, and they might miss out on major health details. With no actual knowledge of the disease symptoms, patients might not report to their physicians which might lead to reduced patient engagement, not to mention the increased risk of developing a chronic disease.

Care teams play a vital role in engaging the patients through regular follow-ups. Irregular and fragmented workflows of care managers and lack of personalization might lead to the generation of ineffective care plans for the patients. Reduction in patient engagement could also be the result of under utilization of technologies to analyze the massive amount of patient data that care managers have at their disposal. Through building more personalized care plans, patients can be engaged at a more grass-roots level.

Driving Effective Engagements through Value-based Care

Predictive population health analytics is the answer to nearly every problem linked with patient engagement. Advanced predictive analytics tools will help in dealing with the problems of disparate data systems and can pinpoint the exact area on which healthcare organizations can focus. Leveraging the insights obtained by data analytics, care teams can prepare the statistical models to prioritize each patient and can take necessary measures to engage patients in the process of decision-making. Understanding the patients’ habits by the care teams increases the chances of preparing personalized care plans for them and enhancing the level of patient satisfaction.

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Health IT Startup: Intiva Health

Intiva Health is the first truly integrated career platform for healthcare professionals.  It redefines the medical credentialing process by making it faster, more efficient and more secure.

Elevator pitch

Intiva Health provides healthcare professionals with a single place to manage their credentials,continuing education, new job opportunities, secure messaging needs and more. It is built on the Hashgraph digital ledger platform, which means it is faster, more secure, and more error proof than blockchain.

Founders’ story

Intiva Health was founded in 2006 as a staffing agency for surgical services and emergency rooms. Today the Austin, Texas company it has reinvented itself as a digital health startup featuring a next generation blockchain technology that cuts the time it takes for the medical credentialing process from months to seconds, improves HIPAA compliance,and makes document tampering or theft almost impossible.

Marketing/promotion strategy

Intiva Health focuses its marketing and PR efforts on licensed medical professionals (LMPs), practice managers, and the facilities where they work including medical groups, hospitals and professional associations.The company launched a new brand awareness campaign in March 2018 that included the introduction of the Intiva Token, a new cryptocurrency that LMPs can use to purchase continuing education classes, cyber insurance and other services.

Intiva is also partnering with the National Osteoporosis Foundation to test the advantages of using the IntivaToken for charitable donations.

 Market opportunity                                                                                    

The Intiva Health Platform automates the burdensome tasks of credential and licensure management, continuing education, and discovering job opportunities for healthcare professionals. Intiva Health’s new ReadyDoc™credential verification solution, built on top of the Hashgraph distributed ledger technology, disrupts the existing broken, slow, and error-prone healthcare credentialing system, which today can take weeks or months to verify credentials, and is subject to tampering.

Intiva believes that ReadyDoc can replace the current processes of credentialing and primary source verification by storing documents and credentials in a Hashgraph-based distributed ledger. Providers and facilities can obtain information that is pre-verified, securely stored, and readily available, creating an ongoing, self-auditing verification of provider work history and clinical reputation.

ReadyDoc will act fluidly between health systems and facilities across the U.S., allowing organizations to instantly verify work history and clinical reputations. In the event of an emergency like the Houston hurricane, facilities will be able staff up by vetting the credentials of qualified providers instantly. ReadyDoc eliminates redundancy and the need for third party verification organizations, letting medical professionals get to work sooner.

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Health IT Startup: Shivom

ShivomUnlocking the genomic code to usher in a new era of medical technology.

Founders’ story

The core Shivom team came together after numerous meetings at blockchain and genomics conferences. During these, we frequently reached conclusions on how to solve the current issues in the medical domain, by combining the bleeding-edge of blockchain technology with genomic sequencing.

Marketing/promotion strategy

The fuel that powers the Shivom platform is community involvement. We aim to forge meaningful partnerships with medical groups around the world, which can then interact directly with the Shivom blockchain and its users.

Market opportunity

Shivom’s target audience? Everyone. Big data analysis requires big data sets, and in the case of the platform, the more users having sequenced and uploaded their genomic data means that there is a larger pool of information to draw from. Of course, a large part of the offering is the secure storage of this information is securely stored, and the individuals to whom it belongs can choose to monetize it by allowing access to innovators in the medical space.

Who are your competitors?

There are few competitors in this space – somewhat reassuring, as our vision is to unite players in the medical field. However, Nebula is a blockchain platform also occupying the genetic niche.

How your company differentiates itself from the competition and what differentiates Shivom?

Simply put, Shivom is a blockchain storage and analytics platform for genetic information. On top of its core functionality, it also enables users to profit from their data by sharing it with institutions.

Differentiating it from similar projects is its magnitude – a global reach and a unique classification system for genomic ID. On the roadmap are integrated AI protocols for in-depth insights.

Business model

Shivom is still in its infancy, although we anticipate that, in moving forward, revenue will be generated by pharmaceutical companies wishing to use data in their research. Additional revenue will stem from a range of apps and services (to glean insights on one’s uploaded data) and the sale of sequencing kits.

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Health IT Startup: Babyscripts

Image result for babyscripts logoBabyscripts is a virtual care platform for prenatal care powered by mobile apps that drive better patient decision making, IOT devices for remote monitoring, and a host of population health tools to give providers access to patient data in real time.

Founders’ story

Juan Pablo Segura, CPA
Juan Pablo Segura

It seems unlikely that two childless bachelors, with no healthcare experience, would start a pregnancy company, but Juan Pablo Segura and Anish Sebastian founded Babyscripts, now the most impactful digital health tool in the obstetrical market. In 2014, with a passion to improve the current healthcare system due to family health struggles, business savvy, and the tenacity to succeed, these two former Deloitte consultants found themselves in front of the Chair of Obstetrics at George Washington School of Medicine & Health Sciences, Dr. Nancy Gaba, which started the journey of Babyscripts.

Marketing/promotion strategy

Babyscripts sells to health systems, private practices, and payers to support women’s health initiatives in pregnancy care.  Babyscripts is then delivered by a care provider to an expectant mother at the beginning of her pregnancy. It is deployed through risk-specific modules that are tied to the clinical/social risk of a patient at the point of care.

Anish Sebastian
Anish Sebastian

Market opportunity

Each year, 4 million babies are born in the United States. Babyscripts works with the providers of care for these pregnancies – health systems and private practices – to support better access to care and better quality of care. Currently, nearly half of the counties in the United States don’t have access to an OB-GYN, according to the American College of Nurse-Midwives. The American Congress of Obstetricians and Gynecologists estimated that in 2020, there will be between 6,000 and 8,000 fewer OB-GYNs in the country than needed. Babyscripts is the only clinically validated tool that allows doctors to automate aspects of care, enabling there to be greater efficiency in the workflow, enabling doctors to touch more patients in a meaningful way.

Who are your competitors?

Our competition can be categorized in a few areas:

  1.     There are Consumer Maternity Apps in the market (ex. What to Expect, BabyCenter, The Bump)
  2.     Payer focused apps and programs for maternity (Wildflower Health, Ovia Pregnancy)
  3.      Non-Obstetric based clinical apps (ex. Wellpass, Vivify Health, Conversa Health)

How your company differentiates itself from the competition and what differentiates Babyscripts?

Babyscripts is the only platform that connects the clinical provider and patients together using technology, while at the same time lowering the cost of care. By including the provider and all of their guidance, specific information and advice into the equation, it ensures that a patient is getting information that aligns with her provider’s care plan, while keeping engagement high. Additionally, Babyscripts is the only clinical tool that is singularly focused on solving obstetrical problems.

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