Tuesday, October 08, 2019

TECHNOLOGY Computers Aren’t So Smart, After All

TECHNOLOGY
Computers Aren’t So Smart, After All

I was looking for some old articles after seeing  so much written about  AI recently 


During the "computer craze" of the 1950s and 1960s some people envisioned the machine replacing the human brain. It hasn't happened and, says the author, it probably never will. So we must still think for ourselves

FRED HAPGOOD
AUGUST 1974 ISSUE
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In the late sixties a chess-playing, computer program was written at MIT and was entered into some local tournaments, where it won a number of games and caught the interest of the local newspapers. I had been curiously following the portentous visions that arose out of articles on the "cybernetic revolution" and was still unsure what to make of the Computer. Since I play chess, this new program seemed to offer a chance to sample its mysteries first hand. I called some friends at MIT, and they arranged for me to play MacHack, as the program was known.

This article appears in the August 1974 issue.

Check out the full table of contents and find your next story to read.

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The room in which the computers were kept lacked all signs of diurnal rhythm. There were no windows. The illumination was low, so as not to interfere with the phosphor screens. The only sound was the clatter of high-speed readout printers, and underneath that, the hum of air conditioners and circulators. People quietly came and went with perfect indifference to the hour. I found the scene—the rapt and silent meditations of the programmers hunched over their terminals, the background hum with its suggestion of unceasing activity, the hushed light, the twenty-four-hour schedules—subtly exhilarating.

I was shown how to code the moves and enter them into a terminal. The game itself began with a stock opening line: both the computer and I knew the standard chess moves, and so far as I could tell, to about the same depth. I had decided on what I thought would be a winning strategy. Any programmer, I reasoned, would try to make the positions which his program had to evaluate simple ones and would assign a priority to clarifying exchanges. I therefore set out to make the position as complex as possible, hoping that the machine would lose its way among the options and commit a common strategic blunder, entering into a premature series of exchanges that would end only by increasing the activity of my pieces. Instead, in a flurry of exchanges, I lost a pawn and nearly the game. The trick of playing with MacHack, I learned, is to keep the position free from tension. The program's strong point is tactics; it places priorities on piece mobility and material gain, and in the nature of chess these values generate local, tactical give-and-take.


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So my strategy was to play away from the program's abilities and to steer the game into slow-paced, stable, balanced positions. Whenever I did this, MacHack's game seemed to become nervous and moody. The program would lose its concentration, begin to shift objectives restlessly, and launch speculative attacks. This is not an unfamiliar style; every chess club has some players—they are called "romantics "—whose joy is found in contact and tension, in games where pieces flash across the board and unexpected possibilities open up with each new move. Put them in slow positions, and, like MacHack, they grow impatient and try to force their game.

We played no more than five times; eventually, beating it became too easy. The winning formula was mechanically simple: develop cautiously, keep contact between the two sides restricted, let the pawns lead out the pieces. MacHack would always develop in a rush and send its knights and bishops skittering about the board trying to scare up some quick action; denied that action, its position would collapse in confusion. The only way to lose to MacHack, I concluded, would be to play as though the dignity of Man somehow required one to crush the machine in the first dozen moves. If, instead, one just played away from it, the computer would barrel by and fall in a heap. I was far more bored than I would have been playing a human of similar strength, and I came to feel that even if MacHack had been good enough to win most, or all, of its games I still would have felt I was wasting my time. In the middle of the nineteenth century, an enterprising showman hid a chess-playing dwarf in a cabinet and toured Europe, claiming that he had invented a chess-playing automaton. Large crowds were awed by the phony machine. My experience with MacHack suggested that the crowds must have come not only because the "automaton" appeared to be a machine but because the dwarf was a master, and could consistently win.

During the last two games I played, MacHack refused to give its moves when I was about to checkmate it. My curiosity was piqued at this sullenness, and I stayed, trying to wait the machine out and get a reply. MacHack just hummed at me. Finally a programmer, becoming interested in this delay, extracted the record of MacHack's deliberations. It had been working over the mate variations, just looking at them, over and over. "Must be a bug somewhere," the programmer said.

Every culture has its juvenile embarrassments; misdirected enthusiasms which fail dramatically and in retrospect seem to say something humiliating about the civilization that pursued them. The great computer craze of the late fifties and the sixties is such a case. From the erecting of the machine, any number of respected thinkers derived a vision of society. Edward Teller foresaw an automatic world, ruled by machines. Gerard Piel, publisher of Scientific American, wrote and spoke about the "disemployment of the nervous system." C. P. Snow thought that automation would be a revolution with effects "far more intimate in the tone of our daily lives ... than either the agricultural transformation in Neolithic times or the early industrial revolution." "Is the handwriting on the wall for the labor movement?, the Wall Street Journal asked, looking at the matter from its own perspective. ("Their membership may dwindle, their strike power weaken, and their political strength fade. And some of unionism's biggest names may be lesser names tomorrow.") The Ad Hoc Committee for the Triple Revolution (weaponry, automation, human rights), which was a study group composed of social luminaries like Gunnar Myrdal, Linus Pauling, A. J. Muste, Michael Harrington, Bayard Rustin, Irving Howe, Robert Heilbroner, and Tom Hayden and Todd Gitlin of SDS, saw the coming of automation as an argument for a guaranteed minimum income. "In twenty years," wrote Donald Michaels in a Center for the Study of Democratic Institutions book, "most of our citizens will be unable to understand the cybernated world in which we live ... the problems of government will be beyond the ken even of our college graduates. Most people will have had to recognize that, when it comes to logic, the machines by and large can think better thanl they.... There will be a small, almost separate society of people in rapport with the advanced computers. These cyberneticians will have established a relationship with their machines that cannot be, shared with the average man. Those with the talent for the work probably will have to develop it from childhood and will be trained as extensively as classical ballerinas." Professor John Wilkinson of the University of California called for the founding of human sanctuaries "as we establish refuges for condors and whooping cranes."



The pragmatists among those who worried about "America in the 'Automic' Age" thought about unemployment. The Bureau of Labor Statistics estimated that 300,000 workers were replaced annually by machines; the American Foundation of Employment and Automation calculated that 2 million jobs a year vanished. President Kennedy said in 1962 that adjusting to automation as America's greatest domestic "challenge" of the sixties, which puts his negative prescience quotient as high as anyone else's. Harry Van Arsdale won the New York electricians a five-hour day, and there was strong feeling that this was just a beginning. "The only question," said George Meany, "is how short the work week is to be."

But there was a visionary wing as well, and one which achieved, to judge by the number of scare stories which ran in the media, remarkable impact. Very roughly, two scenarios were discernible. The first was that automation would proceed at an ever accelerating rate until computers had entirely displaced the working and lower-middle classes. (I find it stimulating that Robbie the Robot, the famous automaton from the movie Forbidden Planet, whose capable and compliant nature earned him his own TV series, had ebony skin.) Those classes, once thrown out of work, would mill about in proletarian discontent. Then, depending on the perspective of the seer, they would either sponsor a revolution themselves or force a revolutionary response from the established order. Andrew Hacker of Cornell warned about "the contraction of the corporate constituency" and predicted a Luddite rampage. Margaret Mead proposed protecting by law certain jobs, "dustman, the night watchman, the postman." She was particularly worried about the problem of the lowest intelligence "brackets," and did not, at least for this class, favor a minimum income: "I am not sure whether good pay in idleness would be a very healthy thing just for the least intelligent, who are least able to make good use of their leisure." This scenario concluded with the feeling that if America did, by one route or the other, successfully manage its entry into "The Age of Abundance," the result would be a classless world in which all lived in a leisurely upper-middle class style, devoting themselves to the arts and public improvements.

The other line of thought, often found in journals like Argosy, National Enquirer, and Popular Mechanics, was that the new brain machines would displace the upper-middle class. The writers who held this second view were impressed with the machine's potential for autonomy and its inscrutable authoritativeness. ("Harvard Computer Finds English Language Fuzzy"—Science Digest.) While it was not clear that unemployment would be a problem ("Wanted: 500,000 Men to Feed Computers"—Popular Science), what did emerge was the feeling that everyone would be forced, by the appealability of the computer's decisions, into the essence of the lower-middle class experience, which is to be ordered about by those "who know what they're doing."



Nearly fifteen years have passed since these specters first became popular, and clearly we are no further down either of these roads; instead, there has been a perceptible loss of conviction that we are on any road at all. The rates of increase in productivity per man-hour, one of the classic mean elements of automation, were no different in the sixties than in the fifties, though nearly 200,000 computers were installed during the last decade. Underemployment has held roughly stable. Computers have assumed a number of functions, some of which have been historically white-collar jobs: reservations, credit and billing, processing checks, payroll operations, inventory scheduling; and some blue-collar: freight routing, and especially flow monitoring and process control in the metallurgical, petrochemical, paper, and feed industries. But while what the computers do is important, it certainly does not appear to add up to a revolution. If computers posed, and pose, a threat it lies not in rendering less significant those decisions humans make but, as in the privacy issue, in enlarging the impact of, and the opportunities for, the staple villainies of the Old Adam.

Why were so many illustrious thinkers so wrong? Or, perhaps simpler, why have we been so reluctant to learn from their mistakes? "Latest Machines See, Hear, Speak and Sing—And May Outthink Man" is the headline of a Wall Street Journal story that appeared in June, 1973, but it could as easily have been the head on any number of stories over the last fifteen years.

What is striking about these stories is the determination of their authors to believe. They seem never to notice the highly artificial environments or the extremely simplified nature of the problems which allow the computer programs they describe to show even the modest success they have to date. Do the authors ever ask why it is that assembly line jobs, whose tediousness made them famous targets of opportunity for computers, remain virtually untouched by automated hands?

The vatic winds which blew some fifteen years ago were more comprehensible: America had just emerged from the fifties, an extraordinary decade. Never before had we delighted in such a rain of innovations with such an immediate and intimate effect on our daily lives. Television took root everywhere. The Polaroid camera, the Aqualung, the transistor radio, and the birth-control pill came on the market. The hi-fi and stereo industry sprang up. Commercial jet travel became standard. Polio was controlled. The hydrogen bomb, the ICBM, space satellites, and the computer all were significant public issues, altering patterns of discourse and attention if nothing else. Xerox brought out its first office copier in 1959; the first working model of the laser was announced in 1960.

We took these inventions, some boon, some bane, as evidence that a high level of innovation was a settled feature of America, and assumed that that level would, if anything, rise still higher over the decades to come. In that atmosphere no technological achievement seemed beyond us and no forecast too fantastic. It was felt only realistic to advance bold speculations.



Actually, one promise of the "soaring sixties" came spectacularly true—the moon-landing program. But it came to seem increasingly anomalous, not representative of our national direction, certainly not emblematic of our national mood. The sixties was a decade in which apprehensions about the effects of technology became widespread, and glittering inventions ceased to enhance our daily lives. Indeed, aside from the pocket calculator, the introduction of new products has fallen off drastically in the last ten years. The promise of robotics is not the only promise unkept. Cancer and the common cold have not been cured; nuclear power through fusion seems more distant than ever. Cheap desalinization has not been achieved. One of the pioneering computers, ENIAC, built by Eckert and Mauchly, was invented in the hope that it would facilitate long-range weather forecasting, Almost certainly John Mauchly thought he was closer to that goal in 1943 than meteorologists do today.

Is the talk of AI ( Artificial intelligence) really new ?

Bulletin of the United States Bureau of Labor Statistics


https://books.google.com › books
1913 
Farming The terms “technology” and “mechanization” bring to mind images of great auto assembly plants or oil refineries or an army of robots doing man's work. Actually, however ... Today, only 1 worker in 12 makes his living from farming, either as a farm owner or as a laborer. ... Moreover, the replacement of horses and mules by tractors and trucks in both the city and on the farm has freed millions of acres for the production of food for human beings instead of for livestock
cally or more accurately by automated equipment will restruc• tured; many Of them will upgraded or disappear. However. until reccntly. relatively few Precision xssernbly jobs have eliminated by automation. The need for precision, independent judgment. and knowledge has placed many jobs tryond the capabilities of robots. Because much precision assernbly work is done in difficult-to-reach l«ations unsuited for robots—inside airplane fuselages or inside gear boxes. for example—replacement of these workers by automated pro- cesses will be slower and less comprehensive than replacement Of welders and painters.

1913
Farming The terms “technology” and “mechanization” bring to mind images of great auto assembly plants or oil refineries or an army of robots doing man's work. Actually, however ... Today, only 1 worker in 12 makes his living from farming, either as a farm owner or as a laborer. ... Moreover, the replacement of horses and mules by tractors and trucks in both the city and on the farm has freed millions of acres for the production of food for human beings instead of for livestockArtificial intelligence is being heralded as one Of the breakthroughs in computer uses that will drastically change edu- cation and research. and the nature of work. Artificial intelligence defined in electronic terms is called "behavior by a machine which, if performed by a human being, would be called intel- Ijgent." A special project sponsored by Science and Education at USDA set Purdue University scientists to the task of determining the potential ap- plications of expert systems for agri- culture and the costs and benefits Of widespread usage in agriculture production. Three subsystems have been iden- tified as having specific potential for agriculture: knowledge systems (es- pecially expert systems), robotics, and natural language processing.

Page count:336
Published:1995
Original from:the University of California
Digitized:April 21, 2016
Contributor:United States. Department of Agriculture

Estimated Househow
Penetration
Product
of y..r.End 1984)
All Television
Color TV
Monochrome TV
Projection TV
VCR
Programmable Video Garnes
Home Computers
Audio Systems
• Compact
• Component
Console
Telephone Answering Devices
Cordless Telephones
Home Radios
98%
91%
2%
1%
25%
13%
87%
51%
38%
23%
5%
10%
98%

UTAH/MIT hand With four fingers (4 degrees of freedom in each finger)

HARVARD two-finger manipulator

SANDLA National Laboratories hand With three fingers
STANFORD autonomms platform

HERMLES autonomous moving

USC hand With two finge.rs
OHIO robot leg
NOMAD moving robot With Six legs
LEHIGH arm (seven Dgrees of freedom)
TURTLE—l moving With four legs
DARM—2 arm (seven degees of  freedom)

Sugarman (72al predicß that tlr near future of tyr intelligent robots are not too auspicious, due to their high üXt, small numbers available, and their insufficient application space. Ferreira [72bl gives a different picture In predicts that intelligent rot»ts Can replace human workers in the industrial environment, resulting in increased productivity and improved product quality while reducing production costS. His major premise that work for an extensive, performing at efficiency. Figure 1 shows future predictions for the robots market and their available number in the near future [72]. An additional factor in support of Ferreira 's is that the mcst healthy industrial coqx'rations have already their own robots the market comy*tition is t*ginning rotx»tic projects. Moreover, Bhanu 1331 asserts that sales of industrial roboß reached SOS billion in 1986, are to reach SS.8 billion by 1995. A summari&d sales forecast by the of Manuåcturing Engineers Delphi (Ta-



Forecasted Robot Characteristic 
vc'pm 
1990 Sales of Robots having the 
Forecasted Characteristics (%) 
1. 
2. 
3. 
4. 
5. 
6. 
7. 
8. 
Robots cornE»sed Of modular standard cornrX)nentS 
Use Of general purpcse hand 
robots 
ReFtability less than or equal to 0,001 inch 
Use of integral Sensors 
Use of pattern recognition and 
Use Of vision 
Robots that can be programmed 
63 
20 
15 
93 
60 
22 
25 
20 
Source: From Ref- 57. 
ble 1) supports this extrapolation. It is estimated that more than half of the increase in U.S. 
productivity (defined as the Output ofthe goods or services produced unit of labor input) 
results from technological improvernents, combined With improved management 
and employee training [571. Recently, Schenker [541 has propcsed new research goals of 

NASA in telerobos (Table 2). 


Forecasted Robot Characteristic 
vc'pm 
1990 Sales of Robots having the 
Forecasted Characteristics (%) 
1. 
2. 
3. 
4. 
5. 
6. 
7. 
8. 
Robots cornE»sed Of modular standard cornrX)nentS 
Use Of general purpcse hand 
robots 
ReFtability less than or equal to 0,001 inch 
Use of integral Sensors 
Use of pattern recognition and 
Use Of vision 
Robots that can be programmed 
63 
20 
15 
93 
60 
22 
25 
20 
Source: From Ref- 57. 
ble 1) supports this extrapolation. It is estimated that more than half of the increase in U.S. 
productivity (defined as the Output ofthe goods or services produced unit of labor input) 
results from technological improvernents, combined With improved management 
and employee training [571. Recently, Schenker [541 has propcsed new research goals of 
NASA in telerobos (Table 2). 



fiction writers such as Isaac Asimov.44 Perhaps the most fundamental question of all is, Do we really need to replace humans by intelligent machines? Do the demands for productivity require that smart computers of some description replace thousands of workers? Should we, say, re- place typists With scanning machines that recognize different handwrit- ing? The counterargument may be best represented by an anecdote. A union leader looking over a quarry Site bemoans the fate of his workers. He approaches the quarry owner and says, "lf it wasn't for those steam shovels, we'd be employing 500 men With shovels." The owner replies, "And if it wasn't for your 500 men With shovels, we'd be employing 10,000 men With thimbles." Perhaps the message of this anecdote is not just that technological change demands changes in the nature of work, but that work can also be dangerous, dirty, and degrading to human beings. In that case, perhaps the design of work for human beings in conjunction With intelligent technology is What we require. Beyond that, the job-reducing potential of technology needs to be managed more effectively by the provision of training programs, incentive schemes, and appropriate government policies.

Monday, October 07, 2019

why do these NGOs in India always concentrate on the bad things.Tell me khalid ,Is this true or not?




"Ultimately, Khalid said, open defecation "is a behavioral issue, not about access" -- and focus should move to finding out whether Modi's campaign has produced real health impacts."

toilets have been provided to more than 600 million people in 60 months, building more than 110 million toilets
Tell me  khalid ,Is this true or not?


96% of people who had access to a toilet used it. The government now says 100% of the country has toilet coverage.

Tell me  khalid ,Is this true or not?


 "is a behavioral issue, not about access" so what do you mean?

 if have  the behavior ,as an american citizen (Naturalized former Indian citizen) I never defecate or urinate in the open. I was forced to urinate recently in bangalore when i was stuck in traffic when it took 2 hours to travel 10 miles! there were no toilets and there was no container in the car which I could use.
The  issue first and foremost is one of access.
Then comes behavior .
Hundreds of years of habits do not change overnight.
why cant  they educate  the populace instead of  conducting surveys to  debunk  the claims  of the  only PM who had the guts to  talk about  toilets from the ramparts of the Red fort.


(CNN)It was the ambitious sanitation campaign aimed at giving almost half of India's 1.3 billion population access to a toilet in just five years.
And last week, Indian Prime Minister Narendra Modi finally declared India free of open defecation, when people relieve themselves in fields, bushes, forests, bodies of water, or any other open spaces, rather than use a toilet.
"The world is amazed that toilets have been provided to more than 600 million people in 60 months, building more than 110 million toilets," Modi said on Wednesday, the 150th anniversary of Indian independence icon Mahatma Gandhi's birth. "No one was ready to believe earlier that India will become open defecation-free in such a short period of time. Now, it is a reality."


Bill and  melinda gates foundation  has spent $200m since 2011 funding reinvented toilets
  • Bad sanitation kills 525,000 children under five every year and contributes to malnutrition and the spread of disease.
  • Bill Gates thinks it's not practical for the entire world to adopt flush toilets, so he's spending $400 million to fund research into toilets that don't require a sewer system. 
  • After seven years of investment, some of the first products are available.
Bill Gates isn't afraid of potty talk.
Earlier this month, he got onstage in front of business leaders, investors, and government officials from around the world and unveiled what he politely referred to as a "little exhibit." It was a glass jar filled with human feces.
"It’s good to be reminded, in there could be over 200 trillion rotavirus particles, 20 billion Shigella bacteria, and 100,000 parasitic worm eggs," Gates told the crowd, which had gathered in Beijing, China, for an event called the Reinvented Toilet Expo.
The jar of poo was used to make a point: Around the world, in places without proper sanitation or sewage systems, there's much more than a jar's worth of unsanitary human waste sitting around.


India remains an enigma for foreign investors

Easing of regulatory barriers is not enough to attract businesses
I will deal with this in my next post.


Saturday, October 05, 2019

short refresher on common skin conditions

 Pretty good presentation useful for Primary care and community health certificate holders.

https://www.peacehealth.org/sites/default/files/Documents/PC%202015%20Foo.pdf


“If you send me a piece of skin, I’ll tell you it’s skin”

 “If you send me a piece of a rash, I’ll tell you it’s a rash”

 “If you tell me what you’re looking for, I’ll tell you what if it fits”

 “If you don’t know what the rash is (when you can seen all of a person’s skin), please don’t expect me to give you an answer from a tiny piece of skin”

 Do not depend on a skin biopsy to provide a diagnosis for your patient’s rash

 A skin biopsy should be performed only if one can correlate the pathologic findings with clinical findings to reach a diagnosis


revolutionary new approach to identify potentially fatal complications in of diabetic patients

With a revolutionary new approach that analyzed just a few drops of blood, scientists from Northwestern Medicine, the University of Chicago and Wuhan University in China detected earlier and more accurately if diabetic patients had developed life-threatening vascular complications such as heart disease, atherosclerosis and kidney failure. 
It is the latest discovery in a new blood-testing technology that Northwestern scientists used most recently to detect liver cancer in patients and is now being tested in other major cancers.  
“We’re very excited to apply our earlier findings in cancer patients to diabetic patients,” said co-corresponding author Wei Zhang, associate professor of cancer epidemiology and prevention at Northwestern University Feinberg School of Medicine. “This discovery is going to revolutionize how quickly and non-invasively we can identify potentially fatal complications in the hundreds of millions of diabetic patients worldwide.”
2/3About two-thirds of the 424 million diabetic patients worldwide die from vascular complications.
The prototype of this novel technology was developed by Dr. Chuan He, the John T. Wilson Distinguished Service Professor at the University of Chicago. Zhang and He worked together to create the blood test. 
About two-thirds of the 424 million diabetic patients worldwide die from vascular (i.e. blood vessel) complications. Detecting these complications early could spur treatments to control the development of severe disease or death.
Current methods of diagnosing vascular complications in diabetic patients – analyzing a patient’s body mass index (BMI), the length of time they’ve had diabetes or a blood test analyzing how much waste product is present – are prone to error and don’t identify complications early enough to intervene with treatment.
This blood test is different. 

How it works

With just three to five milliliters of blood, the non-invasive, clinically convenient test analyzes a patient’s DNA by using highly sensitive blood biomarkers.
If the diabetic patient has developed a vascular complication, the damaged blood vessels release new DNA into the bloodstream, which appears in the blood test and signals the problem to doctors.  
The findings were published Oct. 1 in Clinical Chemistry, the leading international journal of clinical laboratory science. 

5-Hydroxymethylcytosines in Circulating Cell-Free DNA Reveal Vascular Complications of Type 2 Diabetes

Ying YangChang ZengXingyu LuYanqun SongJi NieRuoxi RanZhou ZhangChuan HeWei ZhangSong-Mei Liu
The study examined 62 diabetic patients (12 patients without vascular complications, 34 patients with a singular vascular complication and 16 with multiple vascular complications). This highly sensitive blood test was able to identify if a patient had vascular complications much more accurately than current diagnostic methods.

Abstract

Background: Long-term complications of type 2 diabetes (T2D), such as macrovascular and microvascular events, are the major causes for T2D-related disability and mortality. A clinically convenient, noninvasive approach for monitoring the development of these complications would improve the overall life quality of patients with T2D and help reduce healthcare burden through preventive interventions.
Methods: A selective chemical labeling strategy for 5-hydroxymethylcytosines (5hmC-Seal) was used to profile genome-wide 5hmCs, an emerging class of epigenetic markers implicated in complex diseases including diabetes, in circulating cell-free DNA (cfDNA) from a collection of Chinese patients (n = 62). Differentially modified 5hmC markers between patients with T2D with and without macrovascular/microvascular complications were analyzed under a case–control design.
Results: Statistically significant changes in 5hmC markers were associated with T2D-related macrovascular/microvascular complications, involving genes and pathways relevant to vascular biology and diabetes, including insulin resistance and inflammation. A 16-gene 5hmC marker panel accurately distinguished patients with vascular complications from those without [testing set: area under the curve (AUC) = 0.85; 95% CI, 0.73–0.96], outperforming conventional clinical variables such as urinary albumin. In addition, a separate 13-gene 5hmC marker panel could distinguish patients with single complications from those with multiple complications (testing set: AUC = 0.84; 95% CI, 0.68–0.99), showing superiority over conventional clinical variables.
Conclusions: The 5hmC markers in cfDNA reflected the epigenetic changes in patients with T2D who developed macrovascular/microvascular complications. The 5hmC-Seal assay has the potential to be a clinically convenient, noninvasive approach that can be applied in the clinic to monitor the presence and severity of diabetic vascular complications.
  • Received for publication April 8, 2019.
  • Accepted for publication August 6, 2019.

Friday, October 04, 2019

Tips on practice management 10-4-2019 Just text “DRRAM” to 555888!

Of the patients who had missed an appointment in the last year, most (52.4%) reported that they simply forgot to attend or cancel. 28.6% cited that they wrote down the wrong time or date, and 23.8% said they had to miss the appointment due to other issues such as traffic or work.

I tend to forget the appointments  and  have  showed up  on wrong date and time for my eye appointments  which improved greatly since the  ophthalmologist's office started text reminders

The data is clear: text messages are the preferred way to inform patients about upcoming appointments.


By now it’s clear that patients prefer text messages, but what is it about SMS that makes it so useful for reducing no-shows? Unlike emails, phone calls and postcards people always read their texts. There’s no app to install and texts work on every cellphone. Consider the following:
Texts are read instantly.
Emails may sit in inboxes for hours or days before they get opened. 90% of texts are read within 3 minutes of receipt!
Texts are friendly and unobtrusive.
Patients can check their texts even if they’re not available to answer a phone call. And they can easily refer back to the text later if they forget their appointment time.

Texts are  almost never ignored.
Less than 1% of all text messages go unread. There’s no spam box for them to go to, and the notifications can’t be turned off.
  • Keep your messages succinct and easy to read
  • Include the date, time and location of the appointment
  • Ask patients to reply Y or N to confirm
  • Remind patients to bring the necessary paperwork
  • Send messages between noon and 5 pm
  • sample text 
  • You have an appointment with Dr.Rama on Thur 10/17/2019. Reply Y to confirm or N to cancel. Call our office at 888-927-1826 if you have any questions or need to reschedule. Don’t forget to bring your insurance card.

Is Text Messaging HIPAA Compliant?

Text messages are not HIPAA compliant because they are stored indefinitely on the cellphone companies’ servers. Additionally, cellphones can be lost or stolen which could expose personal health info. As you can see in the example above, the specialty of the provider is not revealed. Neither is the reason for the appointment, the treatment the patient is coming in for, or the medication they are  taking. No information of this nature should be revealed unless a member of your staff is certain they’re speaking directly to the patient.

Alert patients of new test results
Reach out to individual patients with important information. Include secure links to test results as soon as they’re ready.
 Normally clinics do not bother to call patients for normal results  . Patients think 
" No news is Good news "  but no news is no news  the ball might have  been dropped.
but in fact calling the patient  with the good news that their  tests are normal is  a brownie point in your favor

Transactional TextsPromotional Texts
Appointment remindersReminders to schedule next appointment
Checkup remindersAdvertising new services
Health tips
Patient satisfaction surveys

Promotional messages, on the other hand, are any other texts that aren’t directly involving an existing transaction.
If your patients have the ability to schedule appointments online, this is the perfect opportunity to enroll them in your text reminder service.

We now offer convenient text message reminders!
Sign up for appointment reminders, monthly health tips, and more!
Just text “DRRAM” to 555888!
courtesy 

Open EMR More developers 3543 than users 1926 ?

Check these;
SMS enabled in Demographics/Choices.
Global settings for proper SMS acct data and Time of Appt. vs how far in
advance to send SMS.
SMS provider acct settings.
Check your cron log & Apache error log

Open EMR

More developers than users?

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