statistical patient stories hero image

When stories become statistics.

PatientsVoices asks patients two simple questions - describe and rate your experience.

Feedback comes easier when patients get to use their own words. Asking patients to share their stories helps create collaboration, choice, and freedom. "But our patients won't say anything," is a typical hospital worry. Yet, after ten years, thousands of patients, and many hospitals, we know one thing - patients want to share their stories.

Feedback comes easier when patients get to use their words.

Asking patients to "comment" after a long survey doesn't work (read about survey fatigue). Today's technology-savvy patients understand:

  • “My feedback seems unimportant.”

  • “Hearing what I have to say about my experience is less critical than sticking with the current playbook.”

  • “There isn't an easy way for me to provide feedback to the hospital. Surveys that come in the mail are too late and don’t ask about the things that matter to me.”

Patient perceptions are accurate. Most patients don't know about government mandates or the use of the HCAHPS surveys. In the past, there was no way for health systems to sift, quantify, report, and understand patient feedback across interactions, departments, and time. The PatientsVoices AI Pipeline sifts, quantifies, and reports patient feedback across experiences, departments, and time. When health systems must compete for patients, understanding what matters to them is crucial.


PatientsVoices algorithm sub hero image

PatientsVoices AI Pipeline

PatientsVoices taught algorithms how patients speak and what their words mean. Words plus context create meaning. Artificial intelligence (AI) can sift, map, understand, categorize, and report how patients feel - what their comments mean. That last sentence makes PatientVoices' complex journey sound easy. However, teaching algorithms to interpret patient stories hasn't been easy, fast, or inexpensive.

Keyword indexing is not artificial intelligence.  Only AI can sift comments for meaning and emotion. As IBM explains in What is Artificial Intelligence:

“At its simplest form, artificial intelligence combines computer science and robust datasets to enable problem-solving often involving AI algorithms that create expert systems able to predict or classify input data.”

PatientsVoices AI

PatientVoices began developing our AI technology by merging robust datasets with the meaning from patient stories. We used research analysts to classify patient feedback provided by clients.

In 2022 PatientsVoices' Pipeline went live. Today, our algorithms quickly recognize and rank the topics and sentiments expressed by patients. We receive hundreds of patient stories and sift through these stories in real-time for quantifiable meaning and actionable statistics.

Patients share healthcare stories with friends and family constantly. Asking patients to describe their healthcare experience turns "comments" into stories. Only AI can quickly sift through patient stories and their meaning across departments and organizations, summarizing what pleases patients and what needs improvement.

PatientsVoices' Pipeline turns patient stories into reportable statistics. These AI-generated statistics show how patients feel about their experiences producing reports that pinpoint their frustrations. Using PatientsVoices to transform your patients' comments into stories tells you how and why your patients love your hospital and ways to improve for tomorrow.


Question

How does your hospital or care group ask for and use patient stories?

email - maryk.oconnor (at)patientsvoices.net


 
 
 

When stories become statistics.

PatientsVoices asks patients two simple questions - describe and rate your experience.

Feedback comes easier when patients get to use their own words. Asking patients to share their stories helps create collaboration, choice, and freedom. "But our patients won't say anything," is a typical hospital worry. Yet, after ten years, thousands of patients, and many hospitals, we know one thing - patients want to share their stories.

Feedback comes easier when patients get to use their words.

Asking patients to "comment" after a long survey doesn't work (read about survey fatigue). Today's technology-savvy patients understand:

  • “My feedback seems unimportant.”

  • “Hearing what I have to say about my experience is less critical than sticking with the current playbook.”

  • “There isn't an easy way for me to provide feedback to the hospital. Surveys that come in the mail are too late and don’t ask about the things that matter to me.”

Patient perceptions are accurate. Most patients don't know about government mandates or the use of the HCAHPS surveys. In the past, there was no way for health systems to sift, quantify, report, and understand patient feedback across interactions, departments, and time. The PatientsVoices AI Pipeline sifts, quantifies, and reports patient feedback across experiences, departments, and time. When health systems must compete for patients, understanding what matters to them is crucial.


PatientsVoices AI Pipeline

PatientsVoices taught algorithms how patients speak and what their words mean. Words plus context create meaning. Artificial intelligence (AI) can sift, map, understand, categorize, and report how patients feel - what their comments mean. That last sentence makes PatientVoices' complex journey sound easy. However, teaching algorithms to interpret patient stories hasn't been easy, fast, or inexpensive.

Keyword indexing is not artificial intelligence.  Only AI can sift comments for meaning and emotion. As IBM explains in What is Artificial Intelligence:

“At its simplest form, artificial intelligence combines computer science and robust datasets to enable problem-solving often involving AI algorithms that create expert systems able to predict or classify input data.”

PatientsVoices AI

PatientVoices began developing our AI technology by merging robust datasets with the meaning from patient stories. We used research analysts to classify patient feedback provided by clients.

In 2022 PatientsVoices' Pipeline went live. Today, our algorithms quickly recognize and rank the topics and sentiments expressed by patients. We receive hundreds of patient stories and sift through these stories in real-time for quantifiable meaning and actionable statistics.

Patients share healthcare stories with friends and family constantly. Asking patients to describe their healthcare experience turns "comments" into stories. Only AI can quickly sift through patient stories and their meaning across departments and organizations, summarizing what pleases patients and what needs improvement.

PatientsVoices' Pipeline turns patient stories into reportable statistics. These AI-generated statistics show how patients feel about their experiences producing reports that pinpoint their frustrations. Using PatientsVoices to transform your patients' comments into stories tells you how and why your patients love your hospital and ways to improve for tomorrow.


Question

How does your hospital or care group ask for and use patient stories?

email - maryk.oconnor (at)patientsvoices.net