The machine, the doctor and the patient

I have parents who are getting older as days pass by. I wish I had someone at home, who can be there for my parents just like Jarvis has been there for Iron Man.  I imagine my mother doing her daily chores. But her wearable looks at her primary health parameters and recognizes that something majorly wrong is happening. It realizes and sends a distress signal to the emergency services. Meanwhile the Jarvis version at home does some prep work that can be done being in constant communication with the emergency team that is en route. This is a new age solution that can help the aging population across countries. At a time when many countries still face difficulties in providing affordable healthcare access to all its citizens such commercialized novel technologies could help in the future by not over pressurizing the emergency services and increasing the survival rates of the needy person.

But how soon can we have such a connected and automated world? It also depends on how the Healthcare industry recognizes these needs. Let us try understanding their recognition. This can be got from the annual HIMSS (Healthcare Information and Management Systems Society) U.S. Leadership and Workforce Survey. The survey offers insight into the IT concerns of U.S. health leaders, especially those involved in the hospital marketplace.

This year’s survey sends a positive signal that the priorities of healthcare leadership and the vendors/consultants matched on most of the fronts. Both the parties acknowledged the importance of data analytics and cyber security in the healthcare space.  But the divergence is in the perception of patient security and interoperability. Also, the vendors/consultants seem to be bullish about their would-be budgets, but the healthcare leaders felt otherwise. It is indeed good that both parties seem to agree on most of the fronts, but the fact that the Vendors and Consultants gave top priority to Data Analytics/ Business Intelligence while the hospitals gave top priority to patients seems to give an indication about each group’s perception. And that perception seems to be valid considering their holistic view. But the vendors need to be careful. Since the hospitals seem to have a bearish view on their IT spends and given that they have ranked Process Improvement and Change Management high, it speaks that they are not too hung up on the modern data world, but instead they want to optimize their existing systems further. This can be done by implementing six sigma initiatives religiously and  using Robotic Process Automation(RPA) to complement the manual processes to achieve better efficiencies and optimization results.  Various tasks like supply chain management, patient scheduling, and booking operating rooms or testing equipment can be also targeted by automation.

Also, Patient Safety which has not come in the Top 5 priorities for the vendors is worth a re-look and vendors need to figure out how this area can be focussed on with some new age technologies. According to the WHO, patient harm is the 14th leading cause of the global disease burden, making it comparable to other threats such as malaria and tuberculosis and malaria. However, the inflicted harm is considered preventable with an effective patient safety strategy. Here is where new age technologies can really help in enhancing patient safety. The biggest step here will be use of modern communication systems. Let us just look at the prevalent use of the dinosaur Fax machine. It could be because of the HIPAA regulations, the convenience felt by the old doctors in using the Fax machines or the fact that different systems are used for Electronic Medical Records at different places. All these factors put together brings in an age-old system where there are chances that reports would not be got on time and report retrievals by themselves steal away valuable time available for patient care. But instead if mobile technologies, cloud services and third-party servers are used to manage and route messages along with end-to-end encryption (using HIPAA’s privacy and security requirements for exchanging health data) are used, it will enhance patient safety. This will ensure real-time data and connectivity which in turn gives the professional the quick information needed to treat the patients at the earliest. If patient A’s previous records are in Hospital X with System 1 and Hospital Y with a system 2 needs access to the reports in X in the middle of the night Fax may not be always reliable.  If provisions for inter- hospital access to the electronic health systems can be provided, it will help the patient safety cause. The SMART interface launched by Apple is a positive stride to make data accessible. This open interface can be used connect the health app to hospitals and doctors’ offices. Other technology giants like Microsoft, Alphabet are also looking into this area. The future for patient safety from a technology perspective definitely looks bright.

So, does that mean we are very far from my dream? I think not. The strides in the wearable industry cannot be taken lightly. With the use of sensor technology along with the wearables the monitoring of biometric, motion and environmental data can give some key clinical parameters that include heart rats, blood pressure and respiratory rates. Along with apps the wearables have played also played a big role in the increasing numbers of patient activation, which is the skills, knowledge and confidence of a person to manage his/her health. In an era of increasing lifestyle disorders like obesity and diabetes patient activation can help to improve the general fitness of the people. The other aspect is Artificial Intelligence (AI) . The proprietary CANscript  algorithm of Mitra Biotech can helps in predicting how a cancer patient responds to different medicines. Their setup recreates the cancer environment based on the patient data and then in the test environment different drugs are tested. Thus, an algorithm helps in speeding up the entire treatment process and increases the chances of cancer cure. AI can also be extended to preventing adverse drug events, alerting providers when the patient’s health deteriorates and even predicting organ function decline. By ensuring patients get the right care system, right drug or right treatment procedure, huge cost savings can be ensured. This educed health expenditure bill can help other patients in need. The combination of genomics and Electronic Health Records (EHR) datasets can help in creating algorithms that can match the biological system to human interventions. These insights could help in creating a system of precision and timely healthcare.

The adoption of new age technologies will need a systematic approach in targeting existing processes that need to be complemented/replaced by new processes. It also includes helping people in the system to understand the impact it can create and will need an overhaul in the existing infrastructure to be able to use them. The machine can never replace the doctor or the nurse who makes personalized healthcare possible, but it can always help them to make better decisions and thus free up extra time for more patients/revolutionary thinking. But the key here is can the IT ecosystem create the trust in the doctor and the patient by facing existing privacy and safety challenges, if the yes nothing can stop the healthcare sector from leapfrogging into the new-age technology.


Rajalakshmi Muthukrishnan, CEO’s Office, GAVS Technologies

This article is reproduced from GAVS’ enGAge magazine, July 2018 edition.


GAVS Technologies Recognized as a Key Innovator in AIOps Platform Market

MarketsandMarkets recently released a report on the AIOps platform market, which predicts that the total size of the AIOps platform market will be a USD 11.02 billion by 2023. In their research, they discovered that the major players in this space have leveraged partnerships, integrations and collaboration to deliver strong AIOps platform and its associated services in this growing market.

“Implementing AIOps platform gives enterprises an effective foundation in organizing large volumes of data that make it easy to take action and increase monitoring capabilities that reveal patterns” said Ajinkya Jadhav, Industry Analyst for IoT and Telecom Markets at MarketsandMarkets. “The AIOps platform market is growing, due to rising demand of AI-based services in IT operations and increasing shift of organizations core business toward cloud. Moreover, the increasing investment in AI technologies and growing need of business for a holistic 360 degree visibility are offering major opportunity for AIOps vendors.”

Considering the strong offering from GAVS, MarketsandMarkets has identified GAVS as one of major AIOps platform vendor. GAVS’ AIOps platform offers machine learning and advanced analytics to spot patterns in IT infrastructures. It proactively identifies problems before they occur within the IT environment and remediates problems either through machine learning or human intervention. The platform combines big data and artificial intelligence to enhance IT operations and tasks as appropriate through event correlation, analysis, and automation.

MarketsandMarkets™ provides quantified B2B research on 30,000 high growth emerging opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets™ for their pain points around revenues decisions.

MarketsandMarkets’s™ flagship competitive intelligence and market research platform, “Knowledgestore” connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets.. For more information, visit:

Micromanagement: Agile Team’s Worst Nightmare

If I had to name the worst management style universally hated by all, I would know exactly what to say: micromanagement. Bad enough when targeted to individuals, micromanagement is especially damaging in Agile environment.

Continue reading to learn why micromanagers micromanage and how to help them snap out of it.

Micromanagement is annoying. It frustrates, disempowers, destroys motivation and leads to learned helplessness. Micromanaging team members negates the entire idea of a self-organized team that establishes its own pace and strives for efficient collaboration, technical excellency and high quality.

Years ago my manager had resigned and another was going to replace him. The new boss was transitioning from a different role in the organization. The team was anxious to know what he was like, so we asked people who had worked for him. What got back through the grapevine was just one word, but it sounded like a cannon blast:


When the guy finally on-boarded, he confirmed our worst fears. He was always stressed out. He sent emails and then called across the open space – did you get my email? Every spreadsheet and presentation had to be drafted weeks in advance and sent for his approval, and then reviewed several times until they were perfect (at the end they were never perfect). He read every document and corrected sentences and punctuation. He questioned every estimate, the way developers coded and testers tested, how tasks were assigned and how long they took to complete. He told us how to write emails and what to say in meetings. He unleashed mayhem and spread fatigue and depression.

Was he malicious in his anxiety and mistrust? No, absolutely not. He was a hard working person of impeccable integrity and work ethics. He was nice and friendly, always happy to help, perhaps a little too soft to handle the pressure. He would have been hurt and surprised if we told him what we really thought about his management style.

Unfortunately, this is the biggest paradox of the micromanagement: the managers who do it never realize they do it. They are convinced they are good managers – hard working, detail oriented, hands on, helping and caring.

Micromanagers never realize they are micromanagers. They would never believe if somebody else told them.

That’s why you never confront micromanagers. They won’t believe you. Their denial goes deep and a mere suggestion of them being far from perfect will be met with indignation and in some cases anger.

The only way to deal with micromanagers (apart from quitting) is to understand their motivation and break the pattern by establishing trust, reducing their anxiety and redirecting their energy on something productive.

And this is the biggest gift you can give your manager – teach her how to grow, navigate corporate world, nurture the team and build for the future.

Teach your micromanager to grow, navigate corporate world, nurture the team and build for the future.

If your organization has an Agile coach, his time with the manager will be time well spent. The truth is, during Agile transformation managers need more support, education and training than teams. They need to learn how to let go, delegate and trust. None of which is easy, so be patient.

And finally, if you are a manager reading this post, think about your management style and be honest with yourself. Does anything here apply to you? What would your team say about you? Do you feel like you are smarter than everybody else, can get work done faster and better than your staff, have to check and double check, otherwise things will never be finished on time? Hmm, in this case I have a name for you…



Katy Sherman, Director of Software Engineering, Premier Inc.

This article is reproduced from GAVS’ enGAge magazine, July 2018 edition.

8 Ways AI Will Impact Healthcare

Artificial Intelligence (AI) is still a layered subject that’s both exciting and scary to say the least. Given the new information being discovered each day, people are still nervous when it comes to letting AI handle their personal data (fears of security, privacy issues etc.). But they are comfortable with doctors and physicians using AI in healthcare for providing accurate and precise medical treatments and information.

This implies a growing acceptance of the impersonal AI in healthcare, where the physical and personal contact between the caregivers and patients is high. The myriad and increasingly mainstream applications of AI in healthcare are propelling this strong and growing acceptance.

Such openness to AI is vital for healthcare companies, as it empowers the patients and caregivers to gain valuable insights from the data collected and act on them accordingly. AI can analyze loads of medical data and identify patterns to detect any deviations in the individual patient’s behavior and suggest treatment plans / changes. It can sort through assist doctors to improve the accuracy of diagnosis and help in correct treatment.

This AI aided healthcare is not only beneficial to the patients, but also healthcare companies can save time and money performing basic, non-patient care activities (like writing chart notes and prescriptions, etc.) so that caregivers have more time to spend with people.

Research shows that amongst the largest sources of savings are robot-assisted surgery ($40 billion in savings), virtual nursing assistants ($20 billion) and administrative workflow assistance ($18 billion).

AI, Healthcare, and Interconnection.

The bridge between AI and healthcare can only function and give value if the interconnection is smooth and inter-operable. That’s because AI is highly data driven requiring a secure, instant, and low latency connectivity among the multitude data sources between the users and cloud applications.

Given the multi-tenant cloud architecture and the still existing traditional healthcare IT infrastructures, GAVS Technologies enables healthcare providers to easily migrate to the new AI enabled digital infrastructure.
Cost, transparency, and compliance with the various healthcare regulatory bodies are the biggest challenges today for healthcare institutions. With the GDPR already in effect, requiring data protection for all the collected data and its correct usage becoming mandatory, it’s vital for them to have a clear road map for their business strategies involving AI.

Here are eight ways that highlight the technologies and areas of the healthcare industry that are most likely to see a major impact from artificial intelligence.

• Brain-computer interfaces (BCI) backed by artificial intelligence can help restore the patients’ fundamental experiences of speech, movement and meaningful interaction with people and their environments, lost due to neurological diseases and trauma to the nervous system. BCI could drastically improve quality of life for patients with ALS, strokes, or locked-in syndrome, as well as the 500,000 people worldwide who experience spinal cord injuries every year.

• Artificial intelligence will enable the next generation of radiology tools that are accurate and detailed enough to replace the need for tissue samples in some cases. AI is helping to enable “virtual biopsies” and advance the innovative field of radiomics, which focuses on harnessing image-based algorithms to characterize the phenotypes and genetic properties of tumors.

• AI could help mitigate the shortages of trained healthcare providers, including ultrasound technicians and radiologists which can significantly limit access to life-saving care in developing nations around the world. This severe deficit of qualified clinical staff can be overcome by AI taking over some of the diagnostic duties typically allocated to humans.

• Electronic Health Records (EHR) have played an instrumental role in the healthcare industry’s journey towards digitalization, but this has brought along with cognitive overload, endless documentation, and user burnout. EHR developers are now using AI to create more intuitive interfaces and automate some of the routine processes that consume so much of a user’s time like clinical documentation, order entry, and sorting through their inbox mail.

• Smart devices using artificial intelligence to enhance the ability to identify patient deterioration or sense the development of complications can significantly improve outcomes and may reduce costs related to hospital-acquired condition penalties.

• Immunotherapy (using the body’s own immune system to attack malignancies) is one of best cancer treatments available now. But oncologists still do not have a precise and reliable method for identifying which patients will benefit from this option. AI and Machine learning algorithms and its ability to synthesize highly complex datasets may be able to illuminate new options for targeting therapies to an individual’s unique genetic makeup.

• AI to assimilate the health-related data generated through wearables and personal devices for better monitoring and extracting actionable insights from this large and varied data source.

• Using smartphones which have built-in AI software and hardware to collect images of eyes, skin lesions, wounds, infections, medications, or other subjects is an important supplement to clinical quality imaging especially in under-served populations or developing nations where there is a shortage of specialists while reducing the time-to-diagnosis for certain complaints. Dermatology and ophthalmology are early beneficiaries of this trend.

• Leveraging AI for clinical decision support, risk scoring, and early alerting are some of the most promising areas of development for this revolutionary approach to data analysis.

• AI allow those in training to go through naturalistic simulations in a way that simple computer-driven algorithms cannot. The advent of natural speech and the ability of an AI computer to draw instantly on a large database of scenarios, means the response to questions, decisions or advice from a trainee can be challenging and the AI training programme can learn from previous responses from the trainee.

Contact GAVS Technologies to know more about how AI will impact Healthcare here at