Part II - Impact of Big Data Analytics on Hospitals in INDIA
The survey has been designed to understand the state of Big Data Analytics in Hospitals. Respondents of this survey will remain anonymous and responses will not be shared or identified.

Answers to all questions are crucial for this study. Kindly answer all the questions.
Email address *
BACKGROUND INFORMATION
Name of your organization *
Your answer
BIG DATA ANALYTICS IN HEALTHCARE
Big Data is a term used to describe data sets so large, so complex or that require such rapid processing, that they become difficult or impossible to work with using standard database management or analytical tools. The main characteristics of Big Data are:
 Volume: huge amount of data
 Variety: structured, semi-structured or unstructured data collected from different sources and available in different formats (text, images, audio, video etc.)
 Velocity: generated, captured & processed rapidly or in real-time.
Manipulating data sets like these require Big Data Analytical tools for parallel processing of data.
Does your organization provide analytical tools to handle Big Data in hospitals? *
Which analytical tools do you offer for handling Big Data in hospitals? *
Your answer
Please list down the techniques that are used by these tools for analyzing Big Data (e.g. cluster analysis, data mining, machine learning, NLP, pattern recognition etc.) *
Your answer
Which Big Data Platforms are these analytical tools based on? (Cloudera, Hortonworks Data Platform, IBM, MapR, Teradata etc.) *
Your answer
What do you think are the biggest opportunities for using Big Data analytics in hospitals? For each row, please tick only one box. To suggest other big data opportunities, please use the space provided. *
Very Important
Important
Moderately Important
Of Little Importance
Unimportant (not an opportunity)
Evidence-based medicine
Precision medicine
Optimized treatment
Optimized workflows
Fraud prevention
Patient empowerment & involvement
Shared decision-making
Home Care
Research & Development
Reduce cost of care
Reduce avoidable overuse
Other (please mention)
Your answer
Which of the following Big Data Technologies are used for analyzing Big Data in hospitals? (check all that apply) *
Required
In your opinion, what are the benefits of using Big Data Analytics in hospitals with regards to Clinical Outcomes? (check all that apply) *
Required
In your opinion, what are the benefits of using Big Data Analytics in hospitals with regards to Operational Outcomes? (check all that apply) *
Required
In your opinion, what are the benefits of using Big Data Analytics in hospitals with regards to Financial Outcomes? (check all that apply) *
Required
Do you think staff with strong data analytical skills is crucial for analyzing Big Data? *
How much are the hospitals spending/ intend to spend on Big Data analytics in next 2 years? *
What do you think are the biggest opportunities for using Big Data analytics in hospitals? For each row, please tick only one box. To suggest other big data opportunities, please use the space provided. *
Very Important
Important
Moderately Important
Of Little Importance
Unimportant (not a challenge)
Timeliness (Real-time)
Overwhelming volume
Managing unstructured data
Data quality
Availability of data
Access rights to data
Data ownership issues
Cost of data
Lack of facilities, infrastructure
Lack of pre-processing facilities
Lack of technology
Requires large investment in technology upgrade
Shortage of talent/skills
Privacy concerns and regulatory risks
Security issues
Difficulties of data portability
Organizational culture
Other (please mention)
Your answer
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