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CVS Health Opens Digital Health Innovation Lab in Boston

de System Administrator - jueves, 18 de junio de 2015, 19:13
 

CVS Health Opens Digital Health Innovation Lab in Boston

 

CVS Health today announced the official opening of its Digital Innovation Lab in Boston, a facility that is focused on developing cutting-edge digital services and personalized capabilities that offer an accessible and integrated personal pharmacy and health experience. The Lab will serve as a vital hub for the rapidly growing digital team at CVS Health, which will remain headquartered in Woonsocket, R.I.

“At CVS Health, everything we do is to help people on their path to better health, and digital technologies are an amazingly effective way to achieve this,” said Brian Tilzer, Senior Vice President and Chief Digital Officer for CVS Health. “Digital technologies are ubiquitous and highly configurable – a powerful combination, because it allows us to empower our customers anytime and anywhere. That’s why we are doubling our digital investment, anticipating our customers’ increasing preference to manage their health digitally. The opening of this Innovation Lab is a significant step forward on this path.”

The launch of the new Digital Innovation Lab is the latest manifestation of CVS Health’s commitment to prioritizing digital health. The new lab is staffed with developers, product managers, digital strategists, and user- experience designers. CVS has increased its focus on healthcare this year by making significant investments in telehealth visits with doctors at some of its MinuteClinics, sending text messages to customers about their prescriptions and sharing EHR data with select providers.

The Digital Innovation Lab will embody the CVS Health digital team’s mission to run like a startup, accelerating speed-to-market and impact of digital innovation across the enterprise, by using the resources of the Lab to rapidly test, improve and implement new programs.

“Boston’s position as a hub for healthcare innovation, coupled with our belief in the transformational capabilities of digital technologies, makes it an ideal environment for CVS Health’s new Digital Innovation Lab,” said Mayor Martin J. Walsh. “We’re proud to work alongside CVS Health to foster new advancements in the digital health space.”

 

Primary focuses of the Lab will include the exploration of breakthroughs for digital health through innovation in mobile, personalization, multi-channel e-commerce, connected health and digital therapeutics. CVS Health will further its pace and breadth of innovation through partnerships with promising startups and mature companies alike in the digital and health care space.

 

The Lab is also committed to developing future-looking health care solutions. For example, CVS Health plans to introduce a wide array of new digital services in the coming year and beyond, ranging from beacon capabilities that allow customers to receive in-store pharmacy reminders, to applications that turn mobile phones into remote diagnostic tools. CVS Health services reach 100 million customers annually, meaning these innovations are poised to make a significant impact in helping people manage their health.

 

The Digital Innovation Lab, located at 116 Huntington Avenue in Boston’s Back Bay neighborhood, will ultimately employ up to 100 team members, complementing the work of the more than 100 digital professionals currently at the company’s Digital Experience Center in Woonsocket. The company is actively recruiting talent with expertise in everything from application development and creative digital design, to engineering, coding, usability and customer experience.

Link: http://hitconsultant.net

 

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Cybersecurity in Healthcare: An Organizational Approach Focused on both Business and IT

de System Administrator - martes, 26 de enero de 2016, 22:00
 

eBook: Cybersecurity in Healthcare: An Organizational Approach Focused on both Business and IT 

Your Cybersecurity Strategy Has Never Been More Important than Now.

According to the U.S. Department of Health and Human Services Office for Civil Rights, a staggering 1.6 million people had their medical information stolen from healthcare providers last year. Not only does this impact the healthcare organization, it has a heavy impact on the patient as well.  

Download this Healthcare Informatics e-book for an in-depth look at the impact data breaches have on healthcare organizations and how a cybersecurity strategy is more than just an IT initiative.

Some key focal points include:

  • The five-year outlook data breaches are predicted to have on healthcare organizations
  • How a cybersecurity strategy needs to be a focal point from the board of governors down to the employees in the trenches
  • The steps that need to be taken in the event of an attack
  • An in-depth interview with the CSIO of a 25-hospital integrated health system based in Arlington, Texas on their approach to protecting patient data

Please read the attached eBook.

D

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Data Analytics in Healthcare

de System Administrator - miércoles, 11 de marzo de 2015, 21:35
 

Data Analytics in Healthcare: Gain insights and take action

A new study commissioned by EMC asked federal agencies how big data can help them. Among the results published recently: The healthcare industry is chomping at the bit for data analytics. Because the innovative answers needed to improve patient experiences and the health of populations, while simultaneously reducing costs, comes from insights, trends, and clues hiding in big data.

“The underpinnings of EHRs need to be reconfigured to support the purposes of big data. ”

Dr. Karen DeSalvo

National Coordinator for HIT

Please read the attached whitepaper.

 

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Data Breach Reporting Requirements for Medical Practices

de System Administrator - viernes, 27 de febrero de 2015, 12:58
 

Data Breach Reporting Requirements for Medical Practices

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Data Breaches Put Fear Into Patients

de System Administrator - jueves, 12 de marzo de 2015, 21:23
 

Survey: Data Breaches Put Fear Into Patients

by Rajiv Leventhal 

Nearly half (45 percent) of surveyed patients reported that they are at least moderately concerned about a security breach involving their personal health information, according to new research from the Austin, Tx.-based electronic health record (EHR) selection group Software Advice.

When asked to list the reasons behind their level of concern, the highest percentage of respondents (47 percent) said they are concerned about becoming the victim of fraud or identity theft. Coming in a close second was patient worries about maintaining the privacy of their medical history, followed by a lack of trust in technology’s ability to keep their data safe, according to the survey.

As such, 21 percent are withholding personal health information from their doctors. While the majority of the sample (79 percent) said this “rarely or never” happens, it is significant (and unfortunate) that 21 percent of patients withhold personal information from their physicians specifically because they are concerned about a security breach, according to the researchers.

What’s more, only 8 percent of patients “always” read doctors’ privacy and security policies before signing them, and just 10 percent are “very confident” they understand them. Notice of Privacy Practices (NPPs) are written explanations of how a provider may use and share health information, and how patients can exercise their privacy rights.

Additionally, a combined 54 percent of respondents said they would be “very” or “moderately likely” to change providers as a result of their personal health information being accessed without their permission. While 28 percent said there is nothing their provider could do that would convince them to stay, the greatest percentage of respondents (37 percent) would stick with their doctor if they provided specific examples of how the practice’s security policies and procedures had improved after the breach. Many of those same patients (13 percent) specifically said they would want the provider to purchase new software that protectspatient data. A breach caused by staff misconduct was reported as the most likely reason for patients to switch providers.

“The results of our survey on patient fears indicate that much work must be done to restore patients’ faith indata security, the researchers concluded. “Practices should strive to create an atmosphere where patients see promise instead of potential risk when it comes to the way healthcare data is handled,” they said.

Topics:

  • PRIVACY/SECURITY
  • TECHNOLOGY
  • HIPAA
  • TECHNOLOGY

Link: http://www.healthcare-informatics.com

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Data De-Identification: Getting It Right

de System Administrator - sábado, 9 de agosto de 2014, 02:29
 

Khaled El Emam and Scot Ganow

Data De-Identification: Getting It Right

Listen Now

When patient data is used for secondary purposes, such as research, it must be de-identified. But is this process consistently reliable in protecting patient privacy?

A privacy attorney and an experienced researcher explain in an interview with Information Security Media Group that de-identification is reliable if specific methods, as spelled out under HIPAA, are actually used. Too often, they say, those de-identifying data don't do the job effectively because they fail to follow best practices and standards.

Two Methods

Only two methods of de-identification can be used to satisfy the HIPAA Privacy Rule's de-identification standard, explains privacy and security attorney Scot Ganow of the law firm Faruki Ireland & Cox P.L.L.

The "safe harbor" method calls for removing 18 identifiers from patient information, including patient names, ZIP codes, Social Security numbers and birthdates.

The second method, "expert determination," is a more flexible standard that allows professionals to calibrate data de-identification based on the context for which data will be released for secondary purposes, explains Khaled El Emam, senior scientist at the Children's Hospital of Eastern Ontario Research Institute and Director of the multidisciplinary Electronic Health Information Laboratory.

The expert determination method involves using an expert "with appropriate knowledge of and experience with generally accepted statistical and scientific principles and methods for rendering information not individually identifiable," according to federal guidance material on the subject (see De-Identification Guidance Offered).

De-identified data is considered HIPAA-compliant "and defensible" if either of these two-approved methods are used in de-identifying patient data, Ganow says.

Some privacy advocates complain that even HIPAA-compliant methods of data de-identification fall short, creating a risk that patients can be re-identified, especially if mistakes are made in the processes (see Sizing Up De-Identification Guidance).

But El Emam contends that privacy protection problems mainly arise when HIPAA guidance is not followed or is applied improperly. "Another mistake is applying only part of the standards. In that case, data is not going to be protected," he says.

"If you do a poor job with de-identification not based on standards, then it's easy for someone to reverse that. But if you do a good job, it's really hard to re-identify the data," El Emam contends.

One of the top reasons why data de-identification is sometimes done improperly is that there's a shortage of skilled individuals who know how to de-identify data according to best practices and standards, El Emam says. "There's a need to increase the pool of individuals who can do this work, he says.

Not Foolproof

But no method of de-identification is guaranteed to be 100 percent perfect. "When applying data de-identification methods in accordance to HIPAA, the standard is to have a very low risk of re-identification as opposed to saying something is completely de-identified," Ganow says. De-identification "doesn't happen in a silo. You have to think about: Who am I giving the data to? What's the purpose? What agreements and security do I have in place? It's not a silver bullet."

In the interview, Ganow and El Emam discuss:

  • Why de-identification is important to managing risk and ensuring patient privacy;
  • How the identities of patients with unusual and rare diseases, such as Ebola, can be protected;
  • How a shortage of skilled individuals is contributing to poorly de-identified data and why training programs and professional certifications can help.

Ganow is an attorney in the Dayton office of Faruki Ireland & Cox P.L.L. He had more than 10 years of corporate and compliance experience in Fortune 500 companies prior to becoming an attorney, including serving as a chief privacy officer for healthcare and pharmaceutical informatics companies. Ganow also holds the Certified Information Privacy Professional certification; has presented and written extensively on the topics of data protection and de-identification.,In addition to his work at the Children's Hospital of Eastern Ontario Research Institute, El Emam is founder and CEO of Privacy Analytics Inc., which offers enterprise software to safeguard data used for secondary purposes. Previously, Khaled formerly was a senior research officer at the National Research Council of Canada. He holds the Canada research chair in electronic health information at the University of Ottawa and is an associate professor on the faculty of medicine at the university. He has a PhD from the department of electrical and electronics engineering, King's College, at the University of London, England.

Link: http://www.healthcareinfosecurity.com/interviews/data-de-identification-getting-right-i-2412/p-2

RELATED CONTENT

RELATED WHITEPAPERS

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Data Deluge to Disrupt Healthcare This Decade

de System Administrator - martes, 18 de noviembre de 2014, 13:43
 

Exponential Medicine: Data Deluge to Disrupt Healthcare This Decade

BY JASON DORRIER

You can’t really boil down four days, 59 speakers, and a few lovely musical interludes into a single word—but here goes. If there was an overriding theme to this year’s Exponential Medicine it was, in my humble opinion, information.

In his opening talk, Peter Diamandis said health and medicine are poised to undergo a greater transformation than any other industry or field in the next decade. Of course, he meant treatments and technology will meaningfully advance. But more than that, it is the liberation of data that will make care more targeted, proactive, and effective.

To understand the future, however, it’s critical to understand where we are now.

The Problem

 

Vinod Khosla; Exponential Medicine.

Venture capitalist Vinod Khosla wrote way back in 2012that modern healthcare is more about the “practice of medicine than the science of medicine.” Diagnosis and treatment are more art than most will admit, and this is problematic because, by definition, 50% of all doctors are below average practitioners—acceptable in art, frightening in medicine.

Tens of thousands of ICU patients die annually due to misdiagnosis. Go to three different doctors and you’ll get three different diagnoses and plans for treatment, Khosla wrote. This isn’t to slander doctors, but to say most are faced with an impossible task.

Further, just as today’s doctors make life or death decisions on extremely limited information, researchers and scientists similarly draw broad conclusions from small datasets, a tiny slice of the population over a short period of time. Indeed, in her keynote on clinical trials, Dr. Laura Esserman noted that 70% of clinical trials fail.

This is likely, in part, because the studies informing those trials are not backed by information over broad populations but are instead handcuffed by over-specificity and a dearth of data.

The Promise

Today, information isn’t free. But liberating forces are massing on the horizon.

 

Ariel Garten wearing Muse headband; Exponential Medicine.

Sensor technology, of course, is front and center. A profusion of body sensors are poised to be strung throughout the environment and in and on our bodies. These sensors are tiny, cheap, energy efficient, and most importantly, connected.

Sensors stand to collect information, not once every year or two, but every day, hour, or minute. They can open a window on disease before it becomes critical, before symptoms drive us to seek help, making diagnoses early and more accurate.

The best known health devices adapt smartphone motion sensors to detect movement (e.g., step trackers). But these are just the beginning. The next wave of sensors will measure a range of vital signs connected to the heart, blood, and brain.

Sensors on display at Exponential Medicine included two elegant EEG devices for recording brain activity, the Muse headband and iBrain. And the winner of the XPRIZE Nokia Sensing Challenge, awarded at the conference, is a compact system capable of running a wide range of diagnostic lab tests with a single drop of blood.

Just as sensors begin collecting new information, we may begin unlocking and leveraging already existing data within the system. Hospitals alone offer a wealth of information which is invisible to patients and doctors alike.

The system has all but scrambled this information, but data scientists are showing how software can piece it back together and make it useful.

Dr. Isaac Kohane told the story of a group of patients seeking recurrent treatments for various injuries. Using software to analyze the pattern of treatments, Kohane made a surprising diagnosis—domestic abuse. Indeed, it was later reported that these patients were victims of abuse, but not until well after they’d been released from the hospital.

Kohane believes a lot more such information exists within hospitals, if only anyone cared to look.

In addition to doctors, researchers may use information from sensors and the system itself to study populations of tens or hundreds of thousands of patients. And these studies will cover periods of time before, during, and after disease strikes.

The famous Framingham heart study collected information every few years from a few thousand patients over several decades. Framingham yielded profound insights into cardiac disease. Now, imagine doing the same study again—only collecting information every day and expanding the study’s population by an order of magnitude or more.

The Health eHeart study, spearheaded by UCSF’s Dr. Jeff Olgin aims to do just that. Health eHeart shows not just what’s possible in the future study of heart disease, but in the study of all disease. Broad, detailed data may soon be the rule.

Making It Meaningful

Doctors are already overwhelmed by the flow. Keeping up with a body of research that doubles every five years is a herculean task—perhaps an impossible one for mere mortals. How will we fare when information exponentially increases?

 

Craig Venter; Exponential Medicine.

As genomics and synthetic biology pioneer Craig Ventersaid in his keynote talk, data isn’t the goal. The bigger objective is taking the data and making knowledge of it. How will we do that? Artificial intelligence.

Vinod Khosla believes computers will replace up to 80% of the tasks doctors perform today. This will result in significantly fewer errors, lower cost, less work per doctor, faster interactions, and more opportunities for doctors to do research.

But, as Exponential Medicine executive director Daniel Kraft noted: We shouldn’t think of it as AI but IA—intelligence augmentation. In the future, doctors will pair up with intelligent software to more quickly and comprehensively research, diagnose, and prescribe treatment plans.

IBM’s Watson, for example, is able to scan a field’s entire body of up-to-date medical research in fractions of a second and turn up relevant studies, rare drug side effects, even potential diagnoses. And as Watson searches text, machine learning techniques are equipping software with the ability to scan images.

Jeremy Howard, Founder and CEO of Enlitic and previous Chief Scientist at Kaggle, said the accuracy of object classification—identifying discrete features in images—has undergone massive improvement in the last several years. Already these algorithms are proving themselves superior to humans in the analysis of some cancerous tissues.

The convergence of these techniques will help us better manage all this new information—whether it’s finding causative correlations in genomic research or making more accurate, timely diagnoses in the doctor’s office and hospital.

But perhaps the most powerful effect of intelligent software on medicine? As machines do what they do best, doctors can refocus on what humans do best. Less overwhelmed by data they can’t possibly digest, doctors will find time to build relationships with the patient—answering questions, keeping them informed, making them comfortable.

The Dark Side

 

Marc Goodman; Exponential Medicine.

As more patient data is collected and made available for study and diagnosis, and more devices connect to the internet, health information will present a target for exploitation—if it’s online, it’s hackable.

According to Marc Goodman, typical identity theft is worth $2,000 to the thief—medical identity theft is worth more like $20,000. So far in 2014, medical cybercrime is up 600% because, Goodman says, it’s an easy target.

The answer isn’t to halt innovation but to pay more attention to security and enforcement. Goodman suggests some simple solutions: switching passwords on every website, securing connections to public networks, data encryption—and most critically, perhaps, taking care what information is shared online.

Technology as a Tool

Technology is amoral, it’s what humans do with it that determines whether it is a force for good or evil. In the coming years, we’ll have ample opportunity to adapt to a world awash in health information. We may decide to place severe limits on what and how information is shared. But the likelier outcome? The benefits of information sharing will outweigh the risks.

“We’ve gone from a data-poor world, to a data-rich world,” Larry Smarr told participants. “I’ve been through a lot of fields in my life. This is about as excited as I’ve been for research and what it’s going to do to change our lives.”

Image Credit: Shutterstock.com

RELATED TOPICS: 

Link: http://singularityhub.com

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Data-driven scheduling predicts patient no-shows

de System Administrator - jueves, 11 de septiembre de 2014, 14:55
 

Data-driven scheduling predicts patient no-shows

By Michael B. Farrell

With all the advancements in health care, the medical profession still cannot get its appointment book in order.

Doctors are constantly overbooked. Patients constantly rescheduling. One day a waiting room is packed, the next it’s empty.

So when Gabriel Belfort attended a health care hackathon at the Massachusetts Institute of Technology in 2012, he challenged the coders, engineers, and clinicians there to fix that nagging issue.

“There’s a scheduling problem in medicine,” said Belfort, who at the time was a postdoctoral student studying brain science at MIT. “If you’ve had an appointment and you’ve showed up on time, you’ve probably had to wait.”

That dilemma posed by Belfort generated a very MIT proposal: What if you could use data science to determine which patients are likely to show up and which ones will be no-shows and manage office appointments around those tendencies?

“It was immediately clear to me that this is a problem that computers could solve,” Belfort said.

In short order, Belfort and an ad hoc team of nine people — students and health care professionals — at the hackathon built a prototype to prove out the concept. Then, so excited by the prospect that they could solve one of health care’s chronic pains, Belfort and three others who were strangers before that weekend launched a startup, aptly named Smart Scheduling Inc.

Here’s the gist: Smart Scheduling mines patient scheduling histories to determine who is more likely to cancel or miss an appointment. It then sends alerts to the scheduling programs that doctor offices use to book appointments.

If a patient is in a high-risk category, for instance, it prompts office schedulers to call with a reminder. If the patient cannot be reached, there is a good chance he will not show up at all. So, the doctors could then book another patient for that time slot, keeping the patient flow consistent throughout the day.

Within months of forming, Smart Scheduling attracted the interest of Healthbox, an accelerator program that invests $50,000 in promising startups and gives them free office space and mentoring. It also landed a meeting with executives at athenahealth Inc., which eventually resulted in Smart Scheduling’s becoming the first startup in the Watertown health information company’s new accelerator program. Athenahealth also made an undisclosed investment to help the company build out its marketing and sales efforts.

So far, Smart Scheduling has attracted some $500,000 in early-stage investment.

 

And already it has two large health systems signed up as customers: Martin’s Point Health Care, which runs health centers in Maine, and Steward Health Care System, one of the biggest hospital groups in Massachusetts, where the software is being used by about 40 of its doctors offices.

Dr. Michael Callum, president of Steward Medical Group, said Smart Scheduling helps take some of the ambiguity and guesswork out of making appointments; by eliminating unexpected down time, Steward doctors systemwide are able to see 100 more patients every week.

“When you leave it to the front-desk people in the office, they are not all that good of predicting flow in terms of when patients will show up,” Callum said. “It turns out that Smart Scheduling is much better at predicting that.”

Here is what Smart Scheduling has learned about us as patients: If we are single, or under 40, we are more likely to cancel an appointment than an older or married patient. New patients miss more appointments than regulars.

In general, expecting patients to show up for the 1 p.m. slot is a bad idea. On the other hand, Wednesdays are great, as patients are not likely to cancel on those days.

So far, Smart Scheduling has developed 722 variables that it uses to make predictions, based on an analysis of millions of data points about patients from athenahealth. And the more data Smart Scheduling can crunch, the better it gets at predicting behavior

The company says that, so far, its analysis has proven accurate 70 percent of the time when predicting cancellations.

“If everybody got a better schedule, we’d all be happier,” said Ateet Adhikari, director of the Healthbox accelerator program. “The patients benefit, the doctors benefit, and the insurer benefits. A more efficient system trickles down.”

Smart Scheduling was among the first companies that Healthbox invested in when it launched in Boston in 2012. Since then, it has backed 19 health-related startups.

Smart Scheduling exemplifies a new type of health care startup; instead of going after the big issues in health care — curing cancer, for instance — they are targeting more modest changes to improve the medical experience with technology.

“Companies like Smart Scheduling are dramatically improving health care not by producing a new drug,” said Bill Aulet, director of the Martin Trust Center For MIT Entrepreneurship. “It’s by streamlining the process and getting increased efficiencies.”

Belfort has since gone on to work at a local biotech company, although he remains an adviser to Smart Scheduling. Out of the group that came together to build the original product at the MIT hackathon in 2012, only Chris Moses has stuck around full time, and is now the company’s chief executive.

Improving patient flow in the doctor’s office is just the first step, Moses said. “The next step,” he added, “is to try to figure out who are the sickest patients and who the ones are that need to be seen first.”

Link: http://www.bostonglobe.com

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De-identification effective in maintaining patient privacy if done right

de System Administrator - sábado, 9 de agosto de 2014, 01:28
 

De-identification effective in maintaining patient privacy if done right

By Katie Dvorak

As hospitals and healthcare organizations adopt new ways to store and share data, privacy and security of the information is a top priority--and with that comes de-identification of data.

When it comes to HIPAA, there are two standards that allow for the sharing of data while maintaining privacy protections, according to privacy attorney Scot Ganow and Khaled El Emam, senior scientist at the Children's Hospital of Eastern Ontario Research Institute, both of whom spoke with HealthcareInfoSecurity.com.

The first HIPAA method for de-identifying data, according to Ganow, of Faruki Ireland & Cox, is to strip out the data and identifiable elements, though, he added that doing so doesn't offer a lot of value. The second, he said, is to de-identify data through the expert determination standard, which allows researchers to "retain a lot of the value of the info ... [while] at the same time carrying a very low risk of re-identification."

Emam, who also serves as the director of the multidisciplinary Electronic Health Information Laboratory at the Children's Hospital institute, also emphasized using the expert determination method, saying it allows for more flexibility.

He told HealthcareInfoSecurity.com that not every organization uses the standards, and in those cases, the data won't be protected.

In addition to HIPAA, the Federal Trade Commission also has de-identification standards, including that an organization takes reasonable steps to de-identify protected data and announces that re-identification of data will not occur.

However, some are not sure that de-identification goes far enough in protecting patients.

Some studies have shown the possible ease with which de-identified data can be linked with a patient, including one by Harvard University researchers who were able to identify and link anonymous participants in a public DNA study with their personal data.

And while HIPAA specifies how data should be de-identified, a report by the Bipartisan Policy Center maintains that too much variability exists in the execution of anonymization.

Emam, though, said that if the process is done right, it is very difficult to re-identify data. He stressed that problems occur when organizations do a "lousy job" with de-identification, and that makes it easy for someone to reverse.

To learn more:
- listen to the HealthcareInfoSecurity.com interview

Related Articles:

Panel: Cloud's role in healthcare still up in the air
Anonymous research patients easily re-identified, Harvard researchers find
HIPAA burdensome to big data healthcare efforts, BPC says

Read more about: Federal Trade Commission, Deidentification

 

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Delivering Healthcare on an iPhone

de System Administrator - martes, 16 de septiembre de 2014, 21:05
 

Delivering Healthcare on an iPhone

Joseph Kvedar at TEDxMidAtlantic

Joseph C. Kvedar, MD, is the Founder and Director of the Center for Connected Health, creating a new model of healthcare delivery, by developing innovative strategies to move care from the hospital or doctor's office into the day-to-day lives of patients. Dr. Kvedar is creating innovative programs to leverage information technology -- cell phones, computers, networked devices and simple remote health monitoring tools -- to help providers and patients manage chronic conditions, maintain health and wellness and improve adherence, engagement and clinical outcomes. Based on the technology platform developed at the Center, Healthrageous, a personalized health technology company, was launched in 2010, offering a range of health and wellness self-management programs to their clients.

In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations).

Top 10 Essential iPhone Apps for Doctors and Medical Students

by Giriraj Ranawat

 

#1. Heart Pro III

Paid – $2.99

This app, offered by 3D4 Medical in conjunction with Stanford University School of Medicine, allows users to rotate, cut, and label different components of a realistic 3D heart. This latest version contains many improvement which include, complete 360 degree 3D horizontal degree rotation of any body part with a swipe of your finger, 19 free & 51 paid animations, 2 types of Quiz, 62 images isolating elements of the heart.

#2. Epocrates

Free

This app is freely available across many mobile platforms including., Android, Blackberry and iPhone. Epocrates is a trusted clinical resource which helps in better patient care by delivering right information at the time it is required. More than 1 Million active members including 50 per cent US Physicians rely on this app to provide accurate and effective solution to there regular problems. It also perform dozens of calculations, such as BMI and GFR and timely medical news and research information.

#3. Medscape

Free

Medscape is used by more than 3 million healthcare professionals throughout the world and was the most downloaded app in Medical category in the year 2010. Developed by WebMD, Medscape provides Medical news and critical alerts in 34 specialty areas. It has a large pool of clinical resource which includes., 4,000+ evidence-based articles, 600+ step-by-step procedure videos, 100+ tables & protocols and Medical Calculators.

#4. Anesthesiology i-pocketcards

Paid – $3.99

Developed by Börm Bruckmeier Publishing, this app is a concise clinical reference guide with a compilation of scores, classifications, algorithms, and dosage information necessary for the anesthesiologist’s environment. It also contains an effective fluids and electrolytes management system, a table of anti-coagulation and neuraxial anesthesia, and special information about cardiothoracic and obstetric anesthesia.

#5. Eye Chart

Free

This is a great little app when you’re triaging, and can’t get the formal eyechart posted somewhere else in your department. Eye chart is used by eye care professionals and others to measure visual acuity. Snellen charts are named after the Dutch ophthalmologist Herman Snellen who developed the chart in 1862.

#6. Doximity

Free

Meant for US Physicians only, this app proves to be an effective and reliable medium to communicate and keep up with other medical peers. There are already 1 lac Doctors on this network and is considered as the most powerful medical directory and communication tool in the world. This app can really help you in building your Social and Professional Network if you are a newbie in Medical field.

#7. The ECG Guide

Paid – 55 INR

ECG Guide is a reservoir if around 200 examples of common and uncommon ECGs. It also incorporates ECG Interpreter which help sin stepwise assistance with ECG interpretation. You can also test your knowledge with 100 multiple-choice quiz questions updated regularly.

#8. MedCalc

Paid – 110 INR

This Medical Calculator helps to sort out complex medical calculations and problems using a simple UI. MedCalc continues to be the best and trusted medical calculator of all time for medical personnels providing easy access to complicated medical formulas, scores, scales and classifications. It features a Customizable list of favorite equations too.

#9. Psych Terms

Free

Verbal skills are must for any profession and the same goes for medical science too, with access to 1000+ frequently used psychiatric and mental health terms, phrases and definitions, Psych Terms continues to remain a quick and handy reference for both physicians and students. Surprisingly, these all words are available offline i.e., you don’t need a internet or Wi-Fi connection to access the resource.

#10. Pocket Lab Values

Paid – $2.99

Mathematical figures and values are quiet complicated and tedious to remember, so a ready reference to this stuff is necessary. Pocket Lab Values is the perfect companion for health professionals with access to over 320 common and uncommon lab values. Despite, of many apps providing the same feature, Pocket Lab Values contains more lab values than any other app on the store because of the consistent effort and feedback it takes from its users.

Does any of your favourite app made a miss from the list ?? It will be highly appreciated if you report the same to us and which will subsequently help us in mending the article too. 

 

Giriraj Ranawat

Giriraj Ranawat is a passionate tech blogger from Rajasthan, India. He is an avid traveler and love to explore new dimensions of technology. You can follow him at Twitter

 

 


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