Interview with Kapil Tyagi, Chief Technology Officer, Artemis Hospitals

The healthcare industry is at the forefront of digital transformation. Enterprises in this sector are fast adopting new-age solutions such as artificial intelligence (AI)/machine learning (ML) and internet of things (IoT), supported by 5G connectivity, to enhance patient care and optimise operational workflows. Industry leaders share their views on the key technology trends, digital initiatives and future outlook for the sector…

What are the key technology trends revolutionising the healthcare sector? What are the use cases of AI, IoT and 5G in the industry?

GenAI: The automation of administrative tasks will see an additional boost with the adoption of GenAI to streamline clinical documentation and reduce staff burnout. Some of the most promising applications include data entry and extraction, documentation and record-keeping appointment scheduling, billing and claims processing, workflow optimisation and regulatory compliance checks. Other areas where hospitals can enhance and experience significant short-term benefits from this AI model are medical imaging, drug discovery and development, medical research and personalised medicine.

Chatbots: Available 24×7 online or via smartphones, chatbots offer preliminary medical diagnostics and health advice based on user inputs. They can be easily integrated with electronic health records (EHRs) and automatically schedule appointments. Particularly useful in situations where human medical assistants are unavailable, such as during disasters or off-hours, chatbots assist patients in understanding their health issues and guide them toward seeking professional medical help when needed.

AR/VR: With VR, medical trainees can immerse themselves in a digitally constructed environment that mimics real-life scenarios, enriching their learning experience and sharpening their skills. VR is making waves, particularly in surgery and physical therapy. Surgeons can employ VR to simulate intricate surgical procedures, allowing them to rehearse and refine their techniques without the risks associated with real-life operations. In physical therapy, VR assists in addressing mental health issues such as anxiety and phobias by immersing patients in environments that help them overcome their fears in a controlled setting. Meanwhile, AR overlays digital information on to the physical world, providing a layer of enhanced reality that can be invaluable in various medical applications.

Personalised medicine and genomics: Personalised medicine leverages the power of genomics, big data and other cutting-edge tech solutions to bring precision and customisation to the forefront of patient care.

Big data: Big data analytics facilitates population health management by recognising patterns, assessing risk factors and identifying health disparities on a granular level.

IoMT and virtual hospitals: This encompasses technologies that are already known and used in healthcare, such as wearables and telemedicine, which are linked to the IoMT network. Virtual hospital concepts leverage these devices to go beyond basic remote care such as video consultations to provide a comprehensive approach to remote patient management and therapy.

Use cases of AI, IoT and 5G

Remote patient monitoring: IoT devices such as wearable sensors, smartwatches and medical implants can continuously collect real-time health data, including vital signs, activity levels and medication adherence. AI algorithms can analyse this data to detect subtle changes in patients’ health status and identify potential health risks or deterioration.

Personalised treatment plans: By integrating AI with IoT data, healthcare providers can create personalised treatment plans tailored to individual patients’ unique health profiles. AI algorithms can analyse patient data collected from IoT devices, along with EHRs and genetic information, to identify the most effective interventions and medications for each patient. This personalised approach improves treatment outcomes and reduces the risk of adverse reactions.

Chronic disease management: Patients can use connected devices to monitor their health at home, while AI algorithms analyse the data to identify trends and patterns indicative of disease progression or exacerbation. Healthcare providers can then intervene early with targeted interventions or adjustments to treatment plans.

Telemedicine: With the high bandwidth and low latency of 5G networks, healthcare providers can deliver high-quality telemedicine services to patients in remote or underserved areas. 5G enables real-time video consultations, allowing physicians to assess patients, provide medical advice, and even remotely monitor vital signs with greater clarity and reliability.

Remote surgery: 5G’s ultra-low latency and high reliability make it feasible to perform remote surgeries with precision and minimal delay. Surgeons can control robotic surgical systems from a distance, conducting complex procedures with accuracy and confidence.

What were the digital initiatives taken by you during the past year? How did they help optimise business efficiency?

We implemented Salesforce to streamline our lead management. Implementing Salesforce into healthcare involves leveraging digital initiatives to enhance various aspects of healthcare delivery, patient engagement and administrative processes. Here are some digital initiatives for implementing Salesforce in healthcare.

• Healthcare CRM: Utilise Salesforce CRM to manage patient relationships, track interactions and personalise communication to improve patient satisfaction and retention.
• Care coordination and collaboration:
  – Provide collaboration tools – Implement Salesforce Community Cloud to facilitate secure communication and   collaboration among healthcare providers, enabling streamlined care coordination and multidisciplinary team collaboration
  – Care plan management – Utilise Salesforce Health Cloud to create and manage personalised care plans for patients, enabling care teams to coordinate care delivery, track progress and ensure adherence to treatment protocols.
  
• Data integration and analytics: Integrate Salesforce with EHR systems and other data sources to aggregate patient data and perform analytics for population health management, disease prevention and predictive modelling.
• Healthcare analytics dashboards: Develop customised analytics dashboards using Salesforce Einstein
  -Analytics to visualise key performance metrics, identify trends and optimise population health initiatives.
  Patient communication channels – Implement Salesforce Marketing Cloud or Service Cloud to automate patient communications, appointment reminders and follow-up care instructions via SMS, email, or other digital channels.

What are the security risks while dealing with sensitive customer/business data? How do you address these?

Dealing with sensitive patient data in healthcare comes with various security risks, and it is crucial to address them to ensure patient privacy and comply with regulations such as the Health Insurance Portability and Accountability Act (HIPAA) in the US or the GDPR in the European Union. Some common issues posing security risks include the following.

• Unauthorised access: Unauthorised individuals gaining access to patient data, either through physical or digital means, can lead to breaches of confidentiality and privacy.
• Data breaches: Breaches involving cyberattacks, malware, phishing, or insider threats can result in the exposure or theft of sensitive patient information, leading to financial loss, reputational damage and legal consequences.
• Data loss: Accidental deletion, corruption, or loss of patient data due to system failures, natural disasters, or human error can compromise patient care and trust in healthcare organisations.
• Insecure transmission: Transmitting patient data over insecure channels, such as unencrypted email or file transfer protocols, can expose it to interception and unauthorised access.
• Insufficient authentication and authorisation: Weak authentication mechanisms and inadequate access controls can result in unauthorised users gaining access to patient records or privileged information.

Such issues can be addressed by putting in place the following measures.

• Access controls: Implement robust access controls and authentication mechanisms, role-based access control and least privilege principles to restrict access to patient data based on users’ roles and responsibilities.
• Policies: Implement policies and procedures for data back-up and recovery to mitigate the risk of data loss.
• Security awareness training: Provide regular training and awareness programmes to employees on security best practices, including phishing awareness, password hygiene and data handling procedures.
• Regular security audits and assessments: Conduct regular security audits, vulnerability assessments and penetration testing to identify and remediate security vulnerabilities in systems, networks and applications.
• Incident response plan: Develop and maintain an incident response plan to promptly detect, contain and mitigate security incidents involving patient data breaches. Define roles and responsibilities, escalation procedures and communication protocols for responding to security incidents.
• Regulatory compliance: Ensure compliance with relevant regulations and standards governing the protection of patient data such as HIPAA, GDPR and industry-specific security frameworks such as HITRUST or ISO 27001.

What are the tech trends that will transform the healthcare space in 2024? What are your digital transformation plans for this year?

Digital transformation plans for the year would depend on the specific needs and priorities of the organisation. Some common objectives and strategies for healthcare organisations might include:

• Enhancing patient engagement: Implementing digital tools and platforms to improve patient communication, access to healthcare services and self-management capabilities.
• Streamlining clinical workflows: Leveraging technology to automate and optimise administrative tasks, reduce paperwork and improve the efficiency of healthcare delivery processes.
• Data integration and analytics: Integrating disparate data sources, such as EHRs, medical imaging and wearable devices, to enable comprehensive data analysis and insight generation.
• Cybersecurity and compliance: Strengthening cybersecurity measures to protect sensitive patient data from cyber threats and ensuring compliance with regulatory requirements.
• Investing in emerging technologies: Exploring and adopting emerging technologies such as AI, telemedicine, IoMT and blockchain to drive innovation, improve patient outcomes and stay competitive in the rapidly evolving healthcare landscape.