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Top 10 diagnosis for in-patient stay in 2013 and 2004

inpatient-2014-vs-2004

18-44-yr-olds

65-74 yr olds.JPG

HCUP Fast Stats U.S. National Top Ten Most Common Diagnoses for Inpatient Stays by Year, NIS ; 45-64 yr olds
Rank (by N) Diagnosis CCS Number Principal Diagnosis 2013 Total Number of Stays, Weighted Rate of Stays per 100,000
1 203 Osteoarthritis 2013              254,785           329
2 2 Septicemia (except in labor)              252,875           327
3 122 Pneumonia (except that caused by tuberculosis or sexually transmitted disease)              156,870           203
4 108 Congestive heart failure; nonhypertensive              153,790           199
5 657 Mood disorders              151,470           196
6 106 Cardiac dysrhythmias              150,200           194
7 205 Spondylosis; intervertebral disc disorders; other back problems              127,975           165
8 237 Complication of device; implant or graft              127,745           165
9 109 Acute cerebrovascular disease              114,235           148
10 100 Acute myocardial infarction              112,425           145
Principal Diagnosis 2004
1 122 Pneumonia (except that caused by tuberculosis or sexually transmitted disease) 2004           1,174,239           401
2 101 Coronary atherosclerosis and other heart disease           1,158,306           395
3 108 Congestive heart failure; nonhypertensive           1,071,539           366
4 102 Nonspecific chest pain              822,309           281
5 657 Mood disorders              769,948           263
6 100 Acute myocardial infarction              675,076           230
7 106 Cardiac dysrhythmias              673,760           230
8 203 Osteoarthritis              640,091           219
9 205 Spondylosis; intervertebral disc disorders; other back problems              598,403           204
10 237 Complication of device; implant or graft              582,431           199

Telemedicine, personalize medicine and more vocabulary

Telehealth: A nurse can be on the phone providing guidance to a patient.

Telemedicine: A doctor can be on a video chat with a patient to help reduce chronic care cost for outpatient care and preventative medicine.

mHealth (mobile technologies): Use of device or software application to effect wellness and health. May or may not be under FDA regulation if no diagnosis or data manipulation is made and most of the data is patient generated health data. Still compliant with HIPPA and data privacy.

Patient generated health data: Electronic generated health data created and generated by patients using a wearable, mobile device or software application. Still compliant with HIPPA and data privacy.

Electronic health records (HER): Health records generated in a health institution or by hospital systems compliant with HIPPA and data privacy.

Personalize Medicine: Customized medicine based on molecular genetics data/genomics and information derived from the integration of many health risk factors, biomarkers, diagnosis ,lab data and biometrics and more. May or may not be FDA regulated but still compliant with HIPPA and data privacy.


Connie’s comments: The above description are my own definition of each of the new health vocabulary.

Many systems, applications, medical device and hospital systems are being created to incorporate one or two of the above descriptions. Most of the new systems focus on the clinical side, helping drug companies and hospital better customize health delivery.

Motherhealth mobile health application shall be focusing more on patient engagements and integrating all of the above health tasks/descriptions.

Email motherhealth@gmail.com to join as developer, data scientist and or investor.

indie

https://www.indiegogo.com/projects/cancer-riskfactor-and-doctor-video-chat-mobile-app-medicine/x/3335495#/

More patient engagements and not more reminders

As the Chief Experience Officer at the Cleveland Clinic, you might expect Adrienne Boissy to be a champion for the health system’s many mobile apps. But, at the Pop Health Forum in Chicago this week, Boissy took a different tack, arguing that apps by themselves are not a strategy, and can get in the way of a positive patient experience if they’re not deployed smartly.

“I just learned the Cleveland Clinic has 22 apps, many of which haven’t been updated for several years,” Boissy said. “That is not a seamless, cohesive digital platform. We have a wayfiding app, then we’re going to get the scheduling app, and then the check-in kiosk. Then we’re going to get the discharge app. You can see where, in the patient’s lens, it makes no sense. I just talked to you about reducing suffering of the patient and family. Increasing the volume of stuff doesn’t do that. Nor does it help the brand that you’re hoping to put forward.”

Boissy challenged the conventional wisdom around patient engagement because it doesn’t take the time to learn what patients really want. She shared that market research shows the thing Cleveland Clinic patients worry the most about is delays. But the hospitals technology initiatives aren’t focused on delays. Other patients aren’t engaging, but with good reason.

“Not all patients want to be engaged,” she said. “As a multiple sclerosis physician, I can tell you the vast majority of my patients hate coming to see me. They hate to be reminded they have MS. The best thing I can do to engage them is to leave them alone.”

So recently, Cleveland Clinic has been working on incorporating more feedback from patients into their process, including asking them questions about more than just their health, to learn about their lives and priorities. And there have already been some actionable learnings.

“In an in-patient setting, people want to know two things,” she said. “One, who is on my care team and two, what is going to happen to me today. I have met very few heatlhcare systems that tell people that every day, yet that is their number one most important thing.”

Boissy asked the crowd to think about patient engagement as being about engaging each patient in the way that means the most to them, not just about creating broad, population-facing tools.

“Patients define their own engagement,” she said. “It’s kind of ironic that these physicians would decide what’s best for you to keep you engaged.”


Connie’s comments: We have to be listening to patients small complaints. It can start with hypotension, fatigue and un-attended heart health issue. We must be there before an emergency happen. That is why Motherhealth mobile health application will do more patient generated health data monitoring and reporting and engagements (exercise,activities,video chat with doctors and other health care providers, matching care with caregivers and more).

Cancer caregiving health data insights

The report, from the National Alliance for Caregiving in partnership with the National Cancer Institute and the Cancer Support Community, draws on a nationally representative data set to identify the special challenges of a friend or family member caring for a loved one with cancer. Highlights include:

  • Approximately 2.8 million people are caring for someone whose main problem or illness is cancer.
  • The typical cancer caregiver is a 53 year old woman, typically with less than a college degree and less than $75,000 in household income.
  • Most cancer caregivers support a relative (88%), usually a parent or parent-in-law (44%), a spouse or partner (16%) or a sibling or sibling-in-law (14%).
  • A primary role of cancer caregivers is to interact with health care providers, agencies, and professionals on behalf of their loved one – 82% communicate with health care professionals on behalf of the care recipient, 76% monitor the severity of their loved one’s condition, and 62% advocate on behalf of their care recipient with providers, community services, and government agencies.
  • A high majority of cancer caregivers (80%) report that the care recipient has been hospitalized at least once in the past year, an event significantly less common among non-cancer caregivers (52%).
  • Cancer caregivers typically have “helpers” in care – almost eight in ten report that their loved one lives with another person and seven in ten report that others help provide unpaid care.
  • The typical cancer caregiver provides care for just under two years (1.9) compared to caregivers for other conditions, who typically provide care for an average of 4.1 years.
  • Cancer caregivers, on average, are spending 32.9 hours a week providing care to their loved one and nearly a third of cancer caregivers provide care for 40 hours a week or more.
  • Compared to non-cancer caregivers, cancer caregivers are much more likely (72%) to be conducting medical and nursing tasks for their loved one. More than four in ten of these caregivers provide help with medical and nursing tasks without any prior training or instruction.
  • Caring for someone with cancer is more emotionally stressful than other types of caregiving – 50% of cancer caregivers report that they felt “highly stressed.” Four in ten caregivers report that they need help managing emotional and physical stress.
  • One ongoing challenge for cancer caregivers is the need for support during advanced stages of illness, with 40% of caregivers indicating that they needed help making end-of-life decisions.

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