Predictive algorithms development in healthcare area: survey

The swift progress of technology and the growing abundance of health-related data have created an opportunity for predictive algorithms to assume a central role in transforming healthcare services.

Our survey isn’t just about gathering data; it’s about gaining a deeper understanding of the market.

The survey results may also reveal opportunities for partnerships to jointly address the identified challenges.

predictive algorithms development survey

Participate in our survey and be a part of the conversation

Company Name [Optional]

Company Location [Country]

NUMBER OF EMPLOYYES. CHOSE ONE: NUMBER OF EMPLOYYES. CHOSE ONE: 1-10 11-50 51-100 101-500 500+

WOULD YOU LIKE TO REMAIN ANONYMOUS IN THE SURVEY RESULTS? WOULD YOU LIKE TO REMAIN ANONYMOUS IN THE SURVEY RESULTS? Yes No

1. WHAT SPECIFIC AREAS DOES YOUR APP FOCUS ON? 1. WHAT SPECIFIC AREAS DOES YOUR APP FOCUS ON? Wellbeing Mental health Disease diagnosis Treatment recommendations Patient monitoring Other

Other

2. WHAT TYPES OF DATA SOURCES COULD BE USED AS AN INPUT TO TRAIN AND VALIDATE A PREDICTIVE ALGORITHM IN YOUR SOFTWARE? 2. WHAT TYPES OF DATA SOURCES COULD BE USED AS AN INPUT TO TRAIN AND VALIDATE A PREDICTIVE ALGORITHM IN YOUR SOFTWARE? Electronic health records Wearables Patient-reported data Medical imaging Other

Other

3. ON A SCALE OF 1 TO 5, HOW CONFIDENT ARE YOU IN THE ACCURACY AND RELIABILITY OF PREDICTIVE ALGORITHM'S PREDICTIONS? 3. ON A SCALE OF 1 TO 5, HOW CONFIDENT ARE YOU IN THE ACCURACY AND RELIABILITY OF PREDICTIVE ALGORITHM'S PREDICTIONS? 1 - being not confident 2 - somewhat confident 3 - neutral 4 - confident 5 - being very confident

4. DO YOU THINK THAT USING OF PREDICTIVE ALGORITHMS IN YOUR ENVIRONMENT MIGHT FACE REGULATORY CHALLENGES OR COMPLIANCE ISSUES? 4. DO YOU THINK THAT USING OF PREDICTIVE ALGORITHMS IN YOUR ENVIRONMENT MIGHT FACE REGULATORY CHALLENGES OR COMPLIANCE ISSUES? Yes No

5. WHAT CHALLENGES OR BARRIERS DO YOU FORESEE IN IMPLEMENTING PREDICTIVE ALGORITHMS WITHIN YOUR SOFTWARE? 5. WHAT CHALLENGES OR BARRIERS DO YOU FORESEE IN IMPLEMENTING PREDICTIVE ALGORITHMS WITHIN YOUR SOFTWARE? Data quality - ensuring reliable and high-quality data for algorithm training Regulatory and compliance - navigating complex healthcare regulations and compliance issues Integration complexity - integrating predictive algorithms with existing software infrastructure User acceptance - convincing healthcare professionals to trust and adopt the algorithms Cost and resources - allocating budget and resources for algorithm development and maintenance

6. IF YOU COULD INCORPORATE PREDICTIVE ALGORITHMS INTO YOUR APPLICATION, WHAT BUSINESS BENEFITS WOULD YOU EXPECT? 6. IF YOU COULD INCORPORATE PREDICTIVE ALGORITHMS INTO YOUR APPLICATION, WHAT BUSINESS BENEFITS WOULD YOU EXPECT? Increased revenue - generating new revenue streams through predictive algorithm services Cost reduction - lowering operational costs through automation and more efficient processes Market differentiation - setting application apart from competitors and attracting more customers Data monetization - leveraging predictive algorithms to offer data-driven insights as a paid service Improved decision-making - facilitating strategic decision-making based on predictive insights

7. DO YOU SEE THE INTEGRATION OF PREDICTIVE ALGORITHMS IN YOUR APPS AS A FEASIBLE OPTION IN THE FUTURE? 7. DO YOU SEE THE INTEGRATION OF PREDICTIVE ALGORITHMS IN YOUR APPS AS A FEASIBLE OPTION IN THE FUTURE? Yes No