HIMSS23: Innovaccer unveils conversational AI assistant

HIMSS23: Innovaccer unveils conversational AI assistant: Innovaccer, a healthcare technology startup, has unveiled a new conversational AI assistant named “Conversations” at the HIMSS23 conference. The assistant is intended to help healthcare practitioners deal with patient data more efficiently and effectively by understanding and interpreting the language used by healthcare providers while discussing patient data. Conversations’ goal is to assist healthcare practitioners in saving time and improving patient care by delivering rapid and accurate insights into patient data. The characteristics and possible benefits of Innovaccer’s Conversational AI assistant will be discussed in this article.

HIMSS23: Innovaccer unveils conversational AI assistant

Sara, the AI assistant, provides complex analytical insights on population health data through responses that are humanlike. Giving care teams access to enterprise healthcare insights is its main goal. Sara can answer complex queries from providers concerning the system’s patient population in a hurry on a variety of fronts. Five more solutions were also unveiled by Innovaccer to help providers enhance the clinical, financial, and operational performance indicators connected to value-based care delivery.

According to Kanav Hasija, co-founder and chief product officer of Innovaccer, Sara is drawn from the name of the Hindu goddess Saraswati, “the goddess of knowledge who brings order out of chaos.” “Sara makes healthcare data more conversational,” the man claims.

Abhinav Shashank, co-founder and CEO of Innovaccer, said in a statement: “I can’t think of a single health system, hospital, or individual provider that isn’t committed to improving the health outcomes of their community as a whole.” “Every provider will tell you they need better tools and technology to provide the calibre of care and experiences that today’s consumers are looking for.” The Data Activation Platform from Innovaccer, which integrates various EHRs and care settings to provide practitioners with the resources they require at the time of care, powers all six of these solutions.

The following solutions were also revealed by Innovaccer:

A longitudinal patient record is created using the customer relationship management (CRM) system called Health 1:1, which is designed for businesses. The technology aims to help health systems bring in and keep new patients. The linked data makes it easier to correlate patient recruitment and retention efforts with financial results. The solution is the first corporate CRM platform created especially for the healthcare industry, claims the company.

A cutting-edge technology called health equity can help health systems eliminate treatment disparities among disadvantaged groups. The tool helps in estimating socioeconomic needs, grouping people based on social risk, developing interventions that are specifically aimed at them, and making referrals to a network of community resources. It integrates SDOH data into hospital operations and tracks changing social expectations through tests and surveys. Performance may be monitored by health institutions thanks to the tool’s customizable dashboard.

Network Optimizer: This tool aids in the visualisation of market dynamics with the goal of improving network design and performance, lowering care costs, and improving care quality. It simulates network topologies and tracks how they effect performance using multi-market payer claims data. It can also assist forecast the impact of incorporating or omitting a provider group on the performance of the health system.

Readmission Predict: Developed with AI to aid in the optimisation of discharge care planning and care management by predicting the possibility of readmissions at the time of release. It also analyses clinical and SDOH data as well as claims profiles in order to recommend targeted actions to providers. The tool’s purpose is to assist providers in allocating resources more effectively, improving outcomes, and lowering readmission rates and costs.

Risk AI: A new coding accuracy solution that examines clinical and unstructured EHR data to identify dubious codes and close coding gaps. It employs artificial intelligence (AI), machine learning, and other technologies to find likely issues that could have an impact on a person’s risk score. Suspect codes are displayed to clinicians at the time of care.

Benefits of Innovaccer’s Conversational AI assistant

Conversational AI assistant from Innovaccer offers numerous important features that make it a potentially useful tool for healthcare practitioners. The assistant can swiftly gather and present patient data using NLP and machine learning, and give healthcare practitioners with quick and accurate insights into that data. Conversations has the potential to enhance patient outcomes and streamline healthcare operations as a consequence.

• Natural language processing (NLP) is employed by the assistant to comprehend and interpret the language used by healthcare practitioners while discussing patient data. This implies that physicians and other healthcare practitioners will be able to speak with the assistant in a more natural manner, without the need to utilise technical language or specialised directions.
• Machine learning algorithms: The assistant is also driven by machine learning techniques, which allow it to learn over time via interactions with healthcare practitioners. As a consequence, Conversations can gradually improve in their accuracy and effectiveness at offering insights into patient data.
• Rapid access to patient data: The assistant can swiftly retrieve and present patient data from electronic health records (EHRs) to healthcare practitioners. This can save time and help doctors to make better informed patient care decisions.
• Conversations can be combined with other healthcare technology such as telemedicine platforms or population health management systems. This implies that healthcare practitioners will have easier access to patient data and will be able to engage with patients more effectively.
• Potential to enhance patient outcomes: Conversations has the potential to improve patient outcomes by giving healthcare practitioners with rapid and accurate insights into patient data. Doctors, for example, may use the assistant to identify patients at risk of acquiring a certain ailment and treat early to avoid it.

About Innovaccer

A healthcare technology startup called Innovaccer provides a range of software tools to assist healthcare organisations in managing and analysing patient data. At the annual HIMSS23 conference for healthcare IT, the business recently announced a new conversational AI helper. “Conversations,” a conversational AI assistant, is intended to make it easier and more productive for healthcare practitioners to connect with patient data. When addressing patient data, it employs machine learning and natural language processing (NLP) to comprehend and interpret the language used by healthcare professionals.

According to Innovaccer, Conversations can help healthcare providers save time and improve patient care by providing quick and accurate insights into patient data. For example, a doctor could ask Conversations to pull up a patient’s medical history, and the assistant would be able to quickly retrieve and display the relevant information.