Challenge

Theme: Women Health-CARE

Challenge Questions: Choose any one challenge

Challenge #1: How can we use modern health information to reduce medical errors and to improve patient (women) safety and service workflow efficiency?

To fund Prevention and Early Intervention (PEI) services through a program called CARE (Community Assistance and Resources for the Elderly) to women in three communities of the East Valley Region of San Bernardino County. Services which will focus on assisting women before possible mental health issues escalate to higher levels of treatment will be provided in community-based settings (i.e. Women Centers and UNICEF Nutrition sites and in the homes to frail or geographically/socially isolated elders) and will also include the prevention and early identification of depression, dementia, substance abuse and suicide and other mental health issues due to the aging process, trauma and/or bereavement.

• Possible hypothesis: Increasing services through community-based settings improves women health outcomes.

(OR)

• Choose your own hypothesis to address this challenge

Challenge #2: How can we use modern health information to improve women’s health?

• Possible hypotheses could address factors that results in addressing women’s health by country, by age, by disease
  • Example: Mental health of women in US improves when greater access to mental health facilities is available

(OR)

• Example: Child birth rates (or maternal mortality) improve with access to OB/Gyn doctors

(OR)

• Choose your own hypothesis your own hypothesis to address this challenge

Available Datasets (or choose your own):

• http://www.pewresearch.org/download-datasets/
• https://archive.ics.uci.edu/ml/datasets.html
• https://www.datasciencecentral.com/profiles/blogs/10-great-healthcare-data-sets
• https://www.healthdata.gov/search/type/dataset
• WHO: http://www.who.int/gho/en/ (example of how to access datasets: Mental health > Mental health service availability>facilities will take you to the data sources in CSV, JSON: http://apps.who.int/gho/data/node.main.MHFAC?lang=en)
• https://data.gov.in/catalog/accidental-deaths-suicides-india-2015
• Medicare Hospital Quality: Medicare maintains a database on complication rates by hospital that provides for interesting comparisons.
• SEER Cancer Incidence: The US government also has data about cancer incidence, again segmented by age, race, gender, year, and other factors.